Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence

Montreal, 19-27 August 2021

Edited by Prof. Zhi-Hua Zhou

Sponsored by
International Joint Conferences on Artifical Intelligence (IJCAI)

Published by
International Joint Conferences on Artificial Intelligence

Copyright © 2021 International Joint Conferences on Artificial Intelligence
All rights reserved. No part of this book may be reproduced in any form by any electronic or mechanical means (including photocopying, recording, or information storage and retrieval) without permission in writing from the publisher.

IJCAI Secretary-Treasurer: Prof. Dr. Bernhard Nebel, Computer Science Department, Albert-Ludwigs-Universitaet Freiburg, Georges-Koehler-Allee, Geb. 052 D-79110 Freiburg, Germany

IJCAI Executive Secretary Ms. Vesna Sabljakovic-Fritz, Vienna University of Technology, Institute of Discrete Mathematics and Geometry, E104 Wiedner Hauptstr. 8-10, A-1040 Vienna, Austria

ISBN (Online): 978-0-9992411-9-6


Main Track

Agent-based and Multi-agent Systems
Distance Polymatrix Coordination Games
Alessandro Aloisio, Michele Flammini, Bojana Kodric, Cosimo Vinci
Diversity in Kemeny Rank Aggregation: A Parameterized Approach
Emmanuel Arrighi, Henning Fernau, Daniel Lokshtanov, Mateus de Oliveira Oliveira, Petra Wolf
School Choice with Flexible Diversity Goals and Specialized Seats
Haris Aziz, Zhaohong Sun
PROPm Allocations of Indivisible Goods to Multiple Agents
Artem Baklanov, Pranav Garimidi, Vasilis Gkatzelis, Daniel Schoepflin
Learning Within an Instance for Designing High-Revenue Combinatorial Auctions
Maria-Florina Balcan, Siddharth Prasad, Tuomas Sandholm
Combining Fairness and Optimality when Selecting and Allocating Projects
Khaled Belahcène, Vincent Mousseau, Anaëlle Wilczynski
Two Influence Maximization Games on Graphs Made Temporal
Niclas Boehmer, Vincent Froese, Julia Henkel, Yvonne Lasars, Rolf Niedermeier, Malte Renken
Winner Robustness via Swap- and Shift-Bribery: Parameterized Counting Complexity and Experiments
Niclas Boehmer, Robert Bredereck, Piotr Faliszewski, Rolf Niedermeier
Putting a Compass on the Map of Elections
Niclas Boehmer, Robert Bredereck, Piotr Faliszewski, Rolf Niedermeier, Stanisław Szufa
Loyalty in Cardinal Hedonic Games
Martin Bullinger, Stefan Kober
Approximating the Shapley Value Using Stratified Empirical Bernstein Sampling
Mark A. Burgess, Archie C. Chapman
Picking Sequences and Monotonicity in Weighted Fair Division
Mithun Chakraborty, Ulrike Schmidt-Kraepelin, Warut Suksompong
Fractional Matchings under Preferences: Stability and Optimality
Jiehua Chen, Sanjukta Roy, Manuel Sorge
Temporal Induced Self-Play for Stochastic Bayesian Games
Weizhe Chen, Zihan Zhou, Yi Wu, Fei Fang
Cooperation in Threshold Public Projects with Binary Actions
Yiling Chen, Biaoshuai Tao, Fang-Yi Yu
Learning in Markets: Greed Leads to Chaos but Following the Price is Right
Yun Kuen Cheung, Stefanos Leonardos, Georgios Piliouras
Identifying Norms from Observation Using MCMC Sampling
Stephen Cranefield, Ashish Dhiman
Improving Multi-agent Coordination by Learning to Estimate Contention
Panayiotis Danassis, Florian Wiedemair, Boi Faltings
Multi-Agent Intention Progression with Black-Box Agents
Michael Dann, Yuan Yao, Brian Logan, John Thangarajah
The Parameterized Complexity of Connected Fair Division
Argyrios Deligkas, Eduard Eiben, Robert Ganian, Thekla Hamm, Sebastian Ordyniak
Neural Regret-Matching for Distributed Constraint Optimization Problems
Yanchen Deng, Runsheng Yu, Xinrun Wang, Bo An
Online Selection of Diverse Committees
Virginie Do, Jamal Atif, Jérôme Lang, Nicolas Usunier
Graphical Cake Cutting via Maximin Share
Edith Elkind, Erel Segal-Halevi, Warut Suksompong
Keep Your Distance: Land Division With Separation
Edith Elkind, Erel Segal-Halevi, Warut Suksompong
On a Competitive Secretary Problem with Deferred Selections
Tomer Ezra, Michal Feldman, Ron Kupfer
Relaxed Core Stability in Fractional Hedonic Games
Angelo Fanelli, Gianpiero Monaco, Luca Moscardelli
Reasoning over Argument-Incomplete AAFs in the Presence of Correlations
Bettina Fazzinga, Sergio Flesca, Filippo Furfaro
Kemeny Consensus Complexity
Zack Fitzsimmons, Edith Hemaspaandra
Two-Sided Matching Meets Fair Division
Rupert Freeman, Evi Micha, Nisarg Shah
Worst-case Bounds on Power vs. Proportion in Weighted Voting Games with Application to False-name Manipulation
Yotam Gafni, Ron Lavi, Moshe Tennenholtz
Even More Effort Towards Improved Bounds and Fixed-Parameter Tractability for Multiwinner Rules
Sushmita Gupta, Pallavi Jain, Saket Saurabh, Nimrod Talmon
Fair and Efficient Resource Allocation with Partial Information
Daniel Halpern, Nisarg Shah
Accomplice Manipulation of the Deferred Acceptance Algorithm
Hadi Hosseini, Fatima Umar, Rohit Vaish
Guaranteeing Maximin Shares: Some Agents Left Behind
Hadi Hosseini, Andrew Searns
Surprisingly Popular Voting Recovers Rankings, Surprisingly!
Hadi Hosseini, Debmalya Mandal, Nisarg Shah, Kevin Shi
SURPRISE! and When to Schedule It.
Zhihuan Huang, Shengwei Xu, You Shan, Yuxuan Lu, Yuqing Kong, Tracy Xiao Liu, Grant Schoenebeck
Dynamic Proportional Rankings
Jonas Israel, Markus Brill
A Polynomial-time, Truthful, Individually Rational and Budget Balanced Ridesharing Mechanism
Tatsuya Iwase, Sebastian Stein, Enrico H. Gerding
Participatory Budgeting with Project Groups
Pallavi Jain, Krzysztof Sornat, Nimrod Talmon, Meirav Zehavi
Interaction Considerations in Learning from Humans
Pallavi Koppol, Henny Admoni, Reid Simmons
Two-Stage Facility Location Games with Strategic Clients and Facilities
Simon Krogmann, Pascal Lenzner, Louise Molitor, Alexander Skopalik
Fairness in Long-Term Participatory Budgeting
Martin Lackner, Jan Maly, Simon Rey
Strategyproof Randomized Social Choice for Restricted Sets of Utility Functions
Patrick Lederer
Budget-feasible Mechanisms for Representing Groups of Agents Proportionally
Xiang Liu, Hau Chan, Minming Li, Weiwei Wu
Improving Welfare in One-Sided Matchings using Simple Threshold Queries
Thomas Ma, Vijay Menon, Kate Larson
Generalized Kings and Single-Elimination Winners in Random Tournaments
Pasin Manurangsi, Warut Suksompong
Almost Envy-Freeness for Groups: Improved Bounds via Discrepancy Theory
Pasin Manurangsi, Warut Suksompong
Winner Determination and Strategic Control in Conditional Approval Voting
Evangelos Markakis, Georgios Papasotiropoulos
Majority Vote in Social Networks: Make Random Friends or Be Stubborn to Overpower Elites
Charlotte Out, Ahad N. Zehmakan
Mean Field Games Flock! The Reinforcement Learning Way
Sarah Perrin, Mathieu Laurière, Julien Pérolat, Matthieu Geist, Romuald Élie, Olivier Pietquin
Data-Driven Methods for Balancing Fairness and Efficiency in Ride-Pooling
Naveen Raman, Sanket Shah, John Dickerson
Shortlisting Rules and Incentives in an End-to-End Model for Participatory Budgeting
Simon Rey, Ulle Endriss, Ronald de Haan
Matchings with Group Fairness Constraints: Online and Offline Algorithms
Govind S. Sankar, Anand Louis, Meghana Nasre, Prajakta Nimbhorkar
Stochastic Market Games
Kyrill Schmid, Lenz Belzner, Robert Müller, Johannes Tochtermann, Claudia Linnhoff-Popien
Tango: Declarative Semantics for Multiagent Communication Protocols
Munindar P. Singh, Samuel H. Christie V.
Vitality Indices are Equivalent to Induced Game-Theoretic Centralities
Oskar Skibski
Game-theoretic Analysis of Effort Allocation of Contributors to Public Projects
Jared Soundy, Chenhao Wang, Clay Stevens, Hau Chan
New Algorithms for Japanese Residency Matching
Zhaohong Sun, Taiki Todo, Makoto Yokoo
Fair Pairwise Exchange among Groups
Zhaohong Sun, Taiki Todo, Toby Walsh
Reducing Bus Bunching with Asynchronous Multi-Agent Reinforcement Learning
Jiawei Wang, Lijun Sun
Emergent Prosociality in Multi-Agent Games Through Gifting
Woodrow Z. Wang, Mark Beliaev, Erdem Bıyık, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh
An Axiom System for Feedback Centralities
Tomasz Wąs, Oskar Skibski
Manipulation of k-Coalitional Games on Social Networks
Naftali Waxman, Sarit Kraus, Noam Hazon
State-Aware Value Function Approximation with Attention Mechanism for Restless Multi-armed Bandits
Shuang Wu, Jingyu Zhao, Guangjian Tian, Jun Wang
Budget-feasible Maximum Nash Social Welfare is Almost Envy-free
Xiaowei Wu, Bo Li, Jiarui Gan
Learning with Generated Teammates to Achieve Type-Free Ad-Hoc Teamwork
Dong Xing, Qianhui Liu, Qian Zheng, Gang Pan
H-FL: A Hierarchical Communication-Efficient and Privacy-Protected Architecture for Federated Learning
He Yang
Dominant Resource Fairness with Meta-Types
Steven Yin, Shatian Wang, Lingyi Zhang, Christian Kroer
Altruism Design in Networked Public Goods Games
Sixie Yu, David Kempe, Yevgeniy Vorobeychik
MFVFD: A Multi-Agent Q-Learning Approach to Cooperative and Non-Cooperative Tasks
Tianhao Zhang, Qiwei Ye, Jiang Bian, Guangming Xie, Tie-Yan Liu
Data-Efficient Reinforcement Learning for Malaria Control
Lixin Zou
AI Ethics, Trust, Fairness
Interacting with Explanations through Critiquing
Diego Antognini, Claudiu Musat, Boi Faltings
On Smoother Attributions using Neural Stochastic Differential Equations
Sumit Jha, Rickard Ewetz, Alvaro Velasquez, Susmit Jha
Location Predicts You: Location Prediction via Bi-direction Speculation and Dual-level Association
Xixi Li, Ruimin Hu, Zheng Wang, Toshihiko Yamasaki
Addressing the Long-term Impact of ML Decisions via Policy Regret
David Lindner, Hoda Heidari, Andreas Krause
Multi-Objective Reinforcement Learning for Designing Ethical Environments
Manel Rodriguez-Soto, Maite Lopez-Sanchez, Juan A. Rodriguez Aguilar
Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models
Maximilian Spliethöver, Henning Wachsmuth
Decision Making with Differential Privacy under a Fairness Lens
Cuong Tran, Ferdinando Fioretto, Pascal Van Hentenryck, Zhiyan Yao
An Examination of Fairness of AI Models for Deepfake Detection
Loc Trinh, Yan Liu
Characteristic Examples: High-Robustness, Low-Transferability Fingerprinting of Neural Networks
Siyue Wang, Xiao Wang, Pin-Yu Chen, Pu Zhao, Xue Lin
Computer Vision I
GASP: Gated Attention for Saliency Prediction
Fares Abawi, Tom Weber, Stefan Wermter
Explaining Self-Supervised Image Representations with Visual Probing
Dominika Basaj, Witold Oleszkiewicz, Igor Sieradzki, Michał Górszczak, Barbara Rychalska, Tomasz Trzcinski, Bartosz Zieliński
Themis: A Fair Evaluation Platform for Computer Vision Competitions
Zinuo Cai, Jianyong Yuan, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ningxin Hu, Jonathan Ding, Ruhui Ma, Mohammad Reza Haghighat, Haibing Guan
Novelty Detection via Contrastive Learning with Negative Data Augmentation
Chengwei Chen, Yuan Xie, Shaohui Lin, Ruizhi Qiao, Jian Zhou, Xin Tan, Yi Zhang, Lizhuang Ma
Zero-Shot Chinese Character Recognition with Stroke-Level Decomposition
Jingye Chen, Bin Li, Xiangyang Xue
Leveraging Human Attention in Novel Object Captioning
Xianyu Chen, Ming Jiang, Qi Zhao
Boundary Knowledge Translation based Reference Semantic Segmentation
Lechao Cheng, Zunlei Feng, Xinchao Wang, Ya Jie Liu, Jie Lei, Mingli Song
Hierarchical Object-oriented Spatio-Temporal Reasoning for Video Question Answering
Long Hoang Dang, Thao Minh Le, Vuong Le, Truyen Tran
Phonovisual Biases in Language: is the Lexicon Tied to the Visual World?
Andrea Gregor de Varda, Carlo Strapparava
Direction-aware Feature-level Frequency Decomposition for Single Image Deraining
Sen Deng, Yidan Feng, Mingqiang Wei, Haoran Xie, Yiping Chen, Jonathan Li, Xiao-Ping Zhang, Jing Qin
TCIC: Theme Concepts Learning Cross Language and Vision for Image Captioning
Zhihao Fan, Zhongyu Wei, Siyuan Wang, Ruize Wang, Zejun Li, Haijun Shan, Xuanjing Huang
Chop Chop BERT: Visual Question Answering by Chopping VisualBERT’s Heads
Chenyu Gao, Qi Zhu, Peng Wang, Qi Wu
Feature Space Targeted Attacks by Statistic Alignment
Lianli Gao, Yaya Cheng, Qilong Zhang, Xing Xu, Jingkuan Song
Multi-view Feature Augmentation with Adaptive Class Activation Mapping
Xiang Gao, Yingjie Tian, Zhiquan Qi
Learning Spectral Dictionary for Local Representation of Mesh
Zhongpai Gao, Junchi Yan, Guangtao Zhai, Xiaokang Yang
Self-Supervised Video Action Localization with Adversarial Temporal Transforms
Guoqiang Gong, Liangfeng Zheng, Wenhao Jiang, Yadong Mu
EventDrop: Data Augmentation for Event-based Learning
Fuqiang Gu, Weicong Sng, Xuke Hu, Fangwen Yu
AdaVQA: Overcoming Language Priors with Adapted Margin Cosine Loss
Yangyang Guo, Liqiang Nie, Zhiyong Cheng, Feng Ji, Ji Zhang, Alberto Del Bimbo
Disentangled Face Attribute Editing via Instance-Aware Latent Space Search
Yuxuan Han, Jiaolong Yang, Ying Fu
DeepME: Deep Mixture Experts for Large-scale Image Classification
Ming He, Guangyi Lv, Weidong He, Jianping Fan, Guihua Zeng
Multi-Scale Selective Feedback Network with Dual Loss for Real Image Denoising
Xiaowan Hu, Yuanhao Cai, Zhihong Liu, Haoqian Wang, Yulun Zhang
Dynamic Inconsistency-aware DeepFake Video Detection
Ziheng Hu, Hongtao Xie, YuXin Wang, Jiahong Li, Zhongyuan Wang, Yongdong Zhang
AgeFlow: Conditional Age Progression and Regression with Normalizing Flows
Zhizhong Huang, Shouzhen Chen, Junping Zhang, Hongming Shan
Self-Supervised Video Representation Learning with Constrained Spatiotemporal Jigsaw
Yuqi Huo, Mingyu Ding, Haoyu Lu, Ziyuan Huang, Mingqian Tang, Zhiwu Lu, Tao Xiang
Perturb, Predict & Paraphrase: Semi-Supervised Learning using Noisy Student for Image Captioning
Arjit Jain, Pranay Reddy Samala, Preethi Jyothi, Deepak Mittal, Maneesh Singh
Step-Wise Hierarchical Alignment Network for Image-Text Matching
Zhong Ji, Kexin Chen, Haoran Wang
Planning with Learned Dynamic Model for Unsupervised Point Cloud Registration
Haobo Jiang, Jianjun Qian, Jin Xie, Jian Yang
Information Bottleneck Approach to Spatial Attention Learning
Qiuxia Lai, Yu Li, Ailing Zeng, Minhao Liu, Hanqiu Sun, Qiang Xu
Noise Doesn't Lie: Towards Universal Detection of Deep Inpainting
Ang Li, Qiuhong Ke, Xingjun Ma, Haiqin Weng, Zhiyuan Zong, Feng Xue, Rui Zhang
IMENet: Joint 3D Semantic Scene Completion and 2D Semantic Segmentation through Iterative Mutual Enhancement
Jie Li, Laiyan Ding, Rui Huang
Deep Automatic Natural Image Matting
Jizhizi Li, Jing Zhang, Dacheng Tao
Medical Image Segmentation using Squeeze-and-Expansion Transformers
Shaohua Li, Xiuchao Sui, Xiangde Luo, Xinxing Xu, Yong Liu, Rick Goh
PIANO: A Parametric Hand Bone Model from Magnetic Resonance Imaging
Yuwei Li, Minye Wu, Yuyao Zhang, Lan Xu, Jingyi Yu
Instance-Aware Coherent Video Style Transfer for Chinese Ink Wash Painting
Hao Liang, Shuai Yang, Wenjing Wang, Jiaying Liu
Noise2Grad: Extract Image Noise to Denoise
Huangxing Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Xiaoqing Liu, Yizhou Yu
Direct Measure Matching for Crowd Counting
Hui Lin, Xiaopeng Hong, Zhiheng Ma, Xing Wei, Yunfeng Qiu, Yaowei Wang, Yihong Gong
A Multi-Constraint Similarity Learning with Adaptive Weighting for Visible-Thermal Person Re-Identification
Yongguo Ling, Zhiming Luo, Yaojin Lin, Shaozi Li
Learning 3-D Human Pose Estimation from Catadioptric Videos
Chenchen Liu, Yongzhi Li, Kangqi Ma, Duo Zhang, Peijun Bao, Yadong Mu
Bipartite Matching for Crowd Counting with Point Supervision
Hao Liu, Qiang Zhao, Yike Ma, Feng Dai
Dual Reweighting Domain Generalization for Face Presentation Attack Detection
Shubao Liu, Ke-Yue Zhang, Taiping Yao, Kekai Sheng, Shouhong Ding, Ying Tai, Jilin Li, Yuan Xie, Lizhuang Ma
Graph Consistency Based Mean-Teaching for Unsupervised Domain Adaptive Person Re-Identification
Xiaobin Liu, Shiliang Zhang
Domain Generalization under Conditional and Label Shifts via Variational Bayesian Inference
Xiaofeng Liu, Bo Hu, Linghao Jin, Xu Han, Fangxu Xing, Jinsong Ouyang, Jun Lu, Georges El Fakhri, Jonghye Woo
Learn from Concepts: Towards the Purified Memory for Few-shot Learning
Xuncheng Liu, Xudong Tian, Shaohui Lin, Yanyun Qu, Lizhuang Ma, Wang Yuan, Zhizhong Zhang, Yuan Xie
One-Shot Affordance Detection
Hongchen Luo, Wei Zhai, Jing Zhang, Yang Cao, Dacheng Tao
CIMON: Towards High-quality Hash Codes
Xiao Luo, Daqing Wu, Zeyu Ma, Chong Chen, Minghua Deng, Jinwen Ma, Zhongming Jin, Jianqiang Huang, Xian-Sheng Hua
Point-based Acoustic Scattering for Interactive Sound Propagation via Surface Encoding
Hsien-Yu Meng, Zhenyu Tang, Dinesh Manocha
Modality-aware Style Adaptation for RGB-Infrared Person Re-Identification
Ziling Miao, Hong Liu, Wei Shi, Wanlu Xu, Hanrong Ye
Look Wide and Interpret Twice: Improving Performance on Interactive Instruction-following Tasks
Van-Quang Nguyen, Masanori Suganuma, Takayuki Okatani
Attention-based Pyramid Dilated Lattice Network for Blind Image Denoising
Mohammad Nikzad, Yongsheng Gao, Jun Zhou
Few-shot Neural Human Performance Rendering from Sparse RGBD Videos
Anqi Pang, Xin Chen, Haimin Luo, Minye Wu, Jingyi Yu, Lan Xu
Self-boosting for Feature Distillation
Yulong Pei, Yanyun Qu, Junping Zhang
SiamRCR: Reciprocal Classification and Regression for Visual Object Tracking
Jinlong Peng, Zhengkai Jiang, Yueyang Gu, Yang Wu, Yabiao Wang, Ying Tai, Chengjie Wang, Weiyao Lin
Unsupervised Hashing with Contrastive Information Bottleneck
Zexuan Qiu, Qinliang Su, Zijing Ou, Jianxing Yu, Changyou Chen
Adaptive Edge Attention for Graph Matching with Outliers
Jingwei Qu, Haibin Ling, Chenrui Zhang, Xiaoqing Lyu, Zhi Tang
Multi-Level Graph Encoding with Structural-Collaborative Relation Learning for Skeleton-Based Person Re-Identification
Haocong Rao, Shihao Xu, Xiping Hu, Jun Cheng, Bin Hu
Computer Vision II
Learning Visual Words for Weakly-Supervised Semantic Segmentation
Lixiang Ru, Bo Du, Chen Wu
Learning with Selective Forgetting
Takashi Shibata, Go Irie, Daiki Ikami, Yu Mitsuzumi
Structure Guided Lane Detection
Jinming Su, Chao Chen, Ke Zhang, Junfeng Luo, Xiaoming Wei, Xiaolin Wei
Towards Unsupervised Deformable-Instances Image-to-Image Translation
Sitong Su, Jingkuan Song, Lianli Gao, Junchen Zhu
Enhance Image as You Like with Unpaired Learning
Xiaopeng Sun, Muxingzi Li, Tianyu He, Lubin Fan
Speech2Talking-Face: Inferring and Driving a Face with Synchronized Audio-Visual Representation
Yasheng Sun, Hang Zhou, Ziwei Liu, Hideki Koike
Context-aware Cross-level Fusion Network for Camouflaged Object Detection
Yujia Sun, Geng Chen, Tao Zhou, Yi Zhang, Nian Liu
Proposal-free One-stage Referring Expression via Grid-Word Cross-Attention
Wei Suo, MengYang Sun, Peng Wang, Qi Wu
MatchVIE: Exploiting Match Relevancy between Entities for Visual Information Extraction
Guozhi Tang, Lele Xie, Lianwen Jin, Jiapeng Wang, Jingdong Chen, Zhen Xu, Qianying Wang, Yaqiang Wu, Hui Li
AVA: Adversarial Vignetting Attack against Visual Recognition
Binyu Tian, Felix Juefei-Xu, Qing Guo, Xiaofei Xie, Xiaohong Li, Yang Liu
Towards Cross-View Consistency in Semantic Segmentation While Varying View Direction
Xin Tong, Xianghua Ying, Yongjie Shi, He Zhao, Ruibin Wang
Learning Interpretable Concept Groups in CNNs
Saurabh Varshneya, Antoine Ledent, Robert A. Vandermeulen, Yunwen Lei, Matthias Enders, Damian Borth, Marius Kloft
Text-based Person Search via Multi-Granularity Embedding Learning
Chengji Wang, Zhiming Luo, Yaojin Lin, Shaozi Li
Cross-Domain Few-Shot Classification via Adversarial Task Augmentation
Haoqing Wang, Zhi-Hong Deng
Tag, Copy or Predict: A Unified Weakly-Supervised Learning Framework for Visual Information Extraction using Sequences
Jiapeng Wang, Tianwei Wang, Guozhi Tang, Lianwen Jin, Weihong Ma, Kai Ding, Yichao Huang
Spline Positional Encoding for Learning 3D Implicit Signed Distance Fields
Peng-Shuai Wang, Yang Liu, Yu-Qi Yang, Xin Tong
Audio2Head: Audio-driven One-shot Talking-head Generation with Natural Head Motion
Suzhen Wang, Lincheng Li, Yu Ding, Changjie Fan, Xin Yu
Norm-guided Adaptive Visual Embedding for Zero-Shot Sketch-Based Image Retrieval
Wenjie Wang, Yufeng Shi, Shiming Chen, Qinmu Peng, Feng Zheng, Xinge You
Dig into Multi-modal Cues for Video Retrieval with Hierarchical Alignment
Wenzhe Wang, Mengdan Zhang, Runnan Chen, Guanyu Cai, Penghao Zhou, Pai Peng, Xiaowei Guo, Jian Wu, Xing Sun
Towards Compact Single Image Super-Resolution via Contrastive Self-distillation
Yanbo Wang, Shaohui Lin, Yanyun Qu, Haiyan Wu, Zhizhong Zhang, Yuan Xie, Angela Yao
Deep Unified Cross-Modality Hashing by Pairwise Data Alignment
Yimu Wang, Bo Xue, Quan Cheng, Yuhui Chen, Lijun Zhang
HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping
Yuhan Wang, Xu Chen, Junwei Zhu, Wenqing Chu, Ying Tai, Chengjie Wang, Jilin Li, Yongjian Wu, Feiyue Huang, Rongrong Ji
Domain-Smoothing Network for Zero-Shot Sketch-Based Image Retrieval
Zhipeng Wang, Hao Wang, Jiexi Yan, Aming Wu, Cheng Deng
Local Representation is Not Enough: Soft Point-Wise Transformer for Descriptor and Detector of Local Features
Zihao Wang, Xueyi Li, Zhen Li
Weakly Supervised Dense Video Captioning via Jointly Usage of Knowledge Distillation and Cross-modal Matching
Bofeng Wu, Guocheng Niu, Jun Yu, Xinyan Xiao, Jian Zhang, Hua Wu
Tracklet Proposal Network for Multi-Object Tracking on Point Clouds
Hai Wu, Qing Li, Chenglu Wen, Xin Li, Xiaoliang Fan, Cheng Wang
Weakly-Supervised Spatio-Temporal Anomaly Detection in Surveillance Video
Jie Wu, Wei Zhang, Guanbin Li, Wenhao Wu, Xiao Tan, Yingying Li, Errui Ding, Liang Lin
GM-MLIC: Graph Matching based Multi-Label Image Classification
Yanan Wu, He Liu, Songhe Feng, Yi Jin, Gengyu Lyu, Zizhang Wu
Micro-Expression Recognition Enhanced by Macro-Expression from Spatial-Temporal Domain
Bin Xia, Shangfei Wang
Segmenting Transparent Objects in the Wild with Transformer
Enze Xie, Wenjia Wang, Wenhai Wang, Peize Sun, Hang Xu, Ding Liang, Ping Luo
Adversarial Feature Disentanglement for Long-Term Person Re-identification
Wanlu Xu, Hong Liu, Wei Shi, Ziling Miao, Zhisheng Lu, Feihu Chen
Tool- and Domain-Agnostic Parameterization of Style Transfer Effects Leveraging Pretrained Perceptual Metrics
Hiromu Yakura, Yuki Koyama, Masataka Goto
Hierarchical Self-supervised Augmented Knowledge Distillation
Chuanguang Yang, Zhulin An, Linhang Cai, Yongjun Xu
RR-Net: Injecting Interactive Semantics in Human-Object Interaction Detection
Dongming Yang, Yuexian Zou, Can Zhang, Meng Cao, Jie Chen
Non-contact Pain Recognition from Video Sequences with Remote Physiological Measurements Prediction
Ruijing Yang, Ziyu Guan, Zitong Yu, Xiaoyi Feng, Jinye Peng, Guoying Zhao
Coupling Intent and Action for Pedestrian Crossing Behavior Prediction
Yu Yao, Ella Atkins, Matthew Johnson-Roberson, Ram Vasudevan, Xiaoxiao Du
Object Detection in Densely Packed Scenes via Semi-Supervised Learning with Dual Consistency
Chao Ye, Huaidong Zhang, Xuemiao Xu, Weiwei Cai, Jing Qin, Kup-Sze Choi
Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition
Bangjie Yin, Wenxuan Wang, Taiping Yao, Junfeng Guo, Zelun Kong, Shouhong Ding, Jilin Li, Cong Liu
Multimodal Transformer Networks for Pedestrian Trajectory Prediction
Ziyi Yin, Ruijin Liu, Zhiliang Xiong, Zejian Yuan
EmbedMask: Embedding Coupling for Instance Segmentation
Hui Ying, Zhaojin Huang, Shu Liu, Tianjia Shao, Kun Zhou
CogTree: Cognition Tree Loss for Unbiased Scene Graph Generation
Jing Yu, Yuan Chai, Yujing Wang, Yue Hu, Qi Wu
Dual-Cross Central Difference Network for Face Anti-Spoofing
Zitong Yu, Yunxiao Qin, Hengshuang Zhao, Xiaobai Li, Guoying Zhao
Detecting Deepfake Videos with Temporal Dropout 3DCNN
Daichi Zhang, Chenyu Li, Fanzhao Lin, Dan Zeng, Shiming Ge
Low Resolution Information Also Matters: Learning Multi-Resolution Representations for Person Re-Identification
Guoqing Zhang, Yuhao Chen, Weisi Lin, Arun Chandran, Xuan Jing
Removing Foreground Occlusions in Light Field using Micro-lens Dynamic Filter
Shuo Zhang, Zeqi Shen, Youfang Lin
Learning Implicit Temporal Alignment for Few-shot Video Classification
Songyang Zhang, Jiale Zhou, Xuming He
What If We Could Not See? Counterfactual Analysis for Egocentric Action Anticipation
Tianyu Zhang, Weiqing Min, Jiahao Yang, Tao Liu, Shuqiang Jiang, Yong Rui
Context-Aware Image Inpainting with Learned Semantic Priors
Wendong Zhang, Junwei Zhu, Ying Tai, Yunbo Wang, Wenqing Chu, Bingbing Ni, Chengjie Wang, Xiaokang Yang
Sequential 3D Human Pose Estimation Using Adaptive Point Cloud Sampling Strategy
Zihao Zhang, Lei Hu, Xiaoming Deng, Shihong Xia
Rescuing Deep Hashing from Dead Bits Problem
Shu Zhao, Dayan Wu, Yucan Zhou, Bo Li, Weiping Wang
PointLIE: Locally Invertible Embedding for Point Cloud Sampling and Recovery
Weibing Zhao, Xu Yan, Jiantao Gao, Ruimao Zhang, Jiayan Zhang, Zhen Li, Song Wu, Shuguang Cui
A Sketch-Transformer Network for Face Photo-Sketch Synthesis
Mingrui Zhu, Changcheng Liang, Nannan Wang, Xiaoyu Wang, Zhifeng Li, Xinbo Gao
PoseGTAC: Graph Transformer Encoder-Decoder with Atrous Convolution for 3D Human Pose Estimation
Yiran Zhu, Xing Xu, Fumin Shen, Yanli Ji, Lianli Gao, Heng Tao Shen
Constraints and SAT
Reducing SAT to Max2SAT
Carlos Ansótegui, Jordi Levy
Improved CP-Based Lagrangian Relaxation Approach with an Application to the TSP
Raphaël Boudreault, Claude-Guy Quimper
Efficiently Explaining CSPs with Unsatisfiable Subset Optimization
Emilio Gamba, Bart Bogaerts, Tias Guns
Decomposition Strategies to Count Integer Solutions over Linear Constraints
Cunjing Ge, Armin Biere
Solving Graph Homomorphism and Subgraph Isomorphism Problems Faster Through Clique Neighbourhood Constraints
Sonja Kraiczy, Ciaran McCreesh
Backdoor DNFs
Sebastian Ordyniak, Andre Schidler, Stefan Szeider
Learning Implicitly with Noisy Data in Linear Arithmetic
Alexander Rader, Ionela G Mocanu, Vaishak Belle, Brendan Juba
Computing Optimal Hypertree Decompositions with SAT
Andre Schidler, Stefan Szeider
Data Mining
Exploring Periodicity and Interactivity in Multi-Interest Framework for Sequential Recommendation
Gaode Chen, Xinghua Zhang, Yanyan Zhao, Cong Xue, Ji Xiang
Masked Contrastive Learning for Anomaly Detection
Hyunsoo Cho, Jinseok Seol, Sang-goo Lee
Multi-Channel Pooling Graph Neural Networks
Jinlong Du, Senzhang Wang, Hao Miao, Jiaqiang Zhang
Guided Attention Network for Concept Extraction
Songtao Fang, Zhenya Huang, Ming He, Shiwei Tong, Xiaoqing Huang, Ye Liu, Jie Huang, Qi Liu
Learning Stochastic Equivalence based on Discrete Ricci Curvature
Xuan Guo, Qiang Tian, Wang Zhang, Wenjun Wang, Pengfei Jiao
Federated Learning with Sparsification-Amplified Privacy and Adaptive Optimization
Rui Hu, Yanmin Gong, Yuanxiong Guo
Temporal Heterogeneous Information Network Embedding
Hong Huang, Ruize Shi, Wei Zhou, Xiao Wang, Hai Jin, Xiaoming Fu
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning
Ming Jin, Yizhen Zheng, Yuan-Fang Li, Chen Gong, Chuan Zhou, Shirui Pan
Practical One-Shot Federated Learning for Cross-Silo Setting
Qinbin Li, Bingsheng He, Dawn Song
Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation
Yang Li, Tong Chen, Yadan Luo, Hongzhi Yin, Zi Huang
Modeling Trajectories with Neural Ordinary Differential Equations
Yuxuan Liang, Kun Ouyang, Hanshu Yan, Yiwei Wang, Zekun Tong, Roger Zimmermann
RCA: A Deep Collaborative Autoencoder Approach for Anomaly Detection
Boyang Liu, Ding Wang, Kaixiang Lin, Pang-Ning Tan, Jiayu Zhou
MG-DVD: A Real-time Framework for Malware Variant Detection Based on Dynamic Heterogeneous Graph Learning
Chen Liu, Bo Li, Jun Zhao, Ming Su, Xu-Dong Liu
Node-wise Localization of Graph Neural Networks
Zemin Liu, Yuan Fang, Chenghao Liu, Steven C.H. Hoi
GraphReach: Position-Aware Graph Neural Network using Reachability Estimations
Sunil Nishad, Shubhangi Agarwal, Arnab Bhattacharya, Sayan Ranu
Graph Edit Distance Learning via Modeling Optimum Matchings with Constraints
Yun Peng, Byron Choi, Jianliang Xu
GAEN: Graph Attention Evolving Networks
Min Shi, Yu Huang, Xingquan Zhu, Yufei Tang, Yuan Zhuang, Jianxun Liu
Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification
Yunsheng Shi, Zhengjie Huang, Shikun Feng, Hui Zhong, Wenjing Wang, Yu Sun
Keyword-Based Knowledge Graph Exploration Based on Quadratic Group Steiner Trees
Yuxuan Shi, Gong Cheng, Trung-Kien Tran, Jie Tang, Evgeny Kharlamov
Federated Model Distillation with Noise-Free Differential Privacy
Lichao Sun, Lingjuan Lyu
LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy
Lichao Sun, Jianwei Qian, Xun Chen
Does Every Data Instance Matter? Enhancing Sequential Recommendation by Eliminating Unreliable Data
Yatong Sun, Bin Wang, Zhu Sun, Xiaochun Yang
Cooperative Joint Attentive Network for Patient Outcome Prediction on Irregular Multi-Rate Multivariate Health Data
Qingxiong Tan, Mang Ye, Grace Lai-Hung Wong, PongChi Yuen
Pattern-enhanced Contrastive Policy Learning Network for Sequential Recommendation
Xiaohai Tong, Pengfei Wang, Chenliang Li, Long Xia, Shaozhang Niu
Heuristic Search for Approximating One Matrix in Terms of Another Matrix
Guihong Wan, Haim Schweitzer
Preference-Adaptive Meta-Learning for Cold-Start Recommendation
Li Wang, Binbin Jin, Zhenya Huang, Hongke Zhao, Defu Lian, Qi Liu, Enhong Chen
Federated Learning with Fair Averaging
Zheng Wang, Xiaoliang Fan, Jianzhong Qi, Chenglu Wen, Cheng Wang, Rongshan Yu
User-as-Graph: User Modeling with Heterogeneous Graph Pooling for News Recommendation
Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie
Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning
Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo, Xiyue Zhang, Tianyi Chen
Heterogeneous Graph Information Bottleneck
Liang Yang, Fan Wu, Zichen Zheng, Bingxin Niu, Junhua Gu, Chuan Wang, Xiaochun Cao, Yuanfang Guo
Graph Deformer Network
Wenting Zhao, Yuan Fang, Zhen Cui, Tong Zhang, Jian Yang
Knowledge-based Residual Learning
Guanjie Zheng, Chang Liu, Hua Wei, Porter Jenkins, Chacha Chen, Tao Wen, Zhenhui Li
Heuristic Search and Game Playing
Faster Guarantees of Evolutionary Algorithms for Maximization of Monotone Submodular Functions
Victoria G. Crawford
DACBench: A Benchmark Library for Dynamic Algorithm Configuration
Theresa Eimer, André Biedenkapp, Maximilian Reimer, Steven Adriansen, Frank Hutter, Marius Lindauer
Bounded-cost Search Using Estimates of Uncertainty
Maximilian Fickert, Tianyi Gu, Wheeler Ruml
A Runtime Analysis of Typical Decomposition Approaches in MOEA/D Framework for Many-objective Optimization Problems
Zhengxin Huang, Yuren Zhou, Chuan Luo, Qingwei Lin
A New Upper Bound Based on Vertex Partitioning for the Maximum K-plex Problem
Hua Jiang, Dongming Zhu, Zhichao Xie, Shaowen Yao, Zhang-Hua Fu
Choosing the Right Algorithm With Hints From Complexity Theory
Shouda Wang, Weijie Zheng, Benjamin Doerr
Humans and AI
UIBert: Learning Generic Multimodal Representations for UI Understanding
Chongyang Bai, Xiaoxue Zang, Ying Xu, Srinivas Sunkara, Abhinav Rastogi, Jindong Chen, Blaise Agüera y Arcas
Pruning of Deep Spiking Neural Networks through Gradient Rewiring
Yanqi Chen, Zhaofei Yu, Wei Fang, Tiejun Huang, Yonghong Tian
Human-AI Collaboration with Bandit Feedback
Ruijiang Gao, Maytal Saar-Tsechansky, Maria De-Arteaga, Ligong Han, Min Kyung Lee, Matthew Lease
Accounting for Confirmation Bias in Crowdsourced Label Aggregation
Meric Altug Gemalmaz, Ming Yin
An Entanglement-driven Fusion Neural Network for Video Sentiment Analysis
Dimitris Gkoumas, Qiuchi Li, Yijun Yu, Dawei Song
Event-based Action Recognition Using Motion Information and Spiking Neural Networks
Qianhui Liu, Dong Xing, Huajin Tang, De Ma, Gang Pan
Item Response Ranking for Cognitive Diagnosis
Shiwei Tong, Qi Liu, Runlong Yu, Wei Huang, Zhenya Huang, Zachary A. Pardos, Weijie Jiang
Type Anywhere You Want: An Introduction to Invisible Mobile Keyboard
Sahng-Min Yoo, Ue-Hwan Kim, Yewon Hwang, Jong-Hwan Kim
Knowledge Representation and Reasoning
Best-Effort Synthesis: Doing Your Best Is Not Harder Than Giving Up
Benjamin Aminof, Giuseppe De Giacomo, Sasha Rubin
A Game-Theoretic Account of Responsibility Allocation
Christel Baier, Florian Funke, Rupak Majumdar
On Cycles, Attackers and Supporters --- A Contribution to The Investigation of Dynamics in Abstract Argumentation
Ringo Baumann, Markus Ulbricht
Reasoning About Agents That May Know Other Agents’ Strategies
Francesco Belardinelli, Sophia Knight, Alessio Lomuscio, Bastien Maubert, Aniello Murano, Sasha Rubin
Choice Logics and Their Computational Properties
Michael Bernreiter, Jan Maly, Stefan Woltran
Cardinality Queries over DL-Lite Ontologies
Meghyn Bienvenu, Quentin Manière, Michaël Thomazo
Budget-Constrained Coalition Strategies with Discounting
Lia Bozzone, Pavel Naumov
Abductive Learning with Ground Knowledge Base
Le-Wen Cai, Wang-Zhou Dai, Yu-Xuan Huang, Yu-Feng Li, Stephen Muggleton, Yuan Jiang
Intensional and Extensional Views in DL-Lite Ontologies
Marco Console, Giuseppe De Giacomo, Maurizio Lenzerini, Manuel Namici
On Belief Change for Multi-Label Classifier Encodings
Sylvie Coste-Marquis, Pierre Marquis
A Uniform Abstraction Framework for Generalized Planning
Zhenhe Cui, Yongmei Liu, Kailun Luo
Abductive Knowledge Induction from Raw Data
Wang-Zhou Dai, Stephen Muggleton
Finite-Trace and Generalized-Reactivity Specifications in Temporal Synthesis
Giuseppe De Giacomo, Antonio Di Stasio, Lucas M. Tabajara, Moshe Vardi, Shufang Zhu
HyperLDLf: a Logic for Checking Properties of Finite Traces Process Logs
Giuseppe De Giacomo, Paolo Felli, Marco Montali, Giuseppe Perelli
How Hard to Tell? Complexity of Belief Manipulation Through Propositional Announcements
Thomas Eiter, Aaron Hunter, Francois Schwarzentruber
Improved Algorithms for Allen's Interval Algebra: a Dynamic Programming Approach
Leif Eriksson, Victor Lagerkvist
Decomposition-Guided Reductions for Argumentation and Treewidth
Johannes Fichte, Markus Hecher, Yasir Mahmood, Arne Meier
Actively Learning Concepts and Conjunctive Queries under ELr-Ontologies
Maurice Funk, Jean Christoph Jung, Carsten Lutz
Program Synthesis as Dependency Quantified Formula Modulo Theory
Priyanka Golia, Subhajit Roy, Kuldeep S. Meel
Updating the Belief Promotion Operator
Daniel A. Grimaldi, M. Vanina Martinez, Ricardo O. Rodriguez
Using Platform Models for a Guided Explanatory Diagnosis Generation for Mobile Robots
Daniel Habering, Till Hofmann, Gerhard Lakemeyer
HIP Network: Historical Information Passing Network for Extrapolation Reasoning on Temporal Knowledge Graph
Yongquan He, Peng Zhang, Luchen Liu, Qi Liang, Wenyuan Zhang, Chuang Zhang
Multi-Agent Abstract Argumentation Frameworks With Incomplete Knowledge of Attacks
Andreas Herzig, Antonio Yuste Ginel
Signature-Based Abduction with Fresh Individuals and Complex Concepts for Description Logics
Patrick Koopmann
Scalable Non-observational Predicate Learning in ASP
Mark Law, Alessandra Russo, Krysia Broda, Elisa Bertino
Inferring Time-delayed Causal Relations in POMDPs from the Principle of Independence of Cause and Mechanism
Junchi Liang, Abdeslam Boularias
Reasoning about Beliefs and Meta-Beliefs by Regression in an Expressive Probabilistic Action Logic
Daxin Liu, Gerhard Lakemeyer
Multi-Agent Belief Base Revision
Emiliano Lorini, Francois Schwarzentruber
Bounded Predicates in Description Logics with Counting
Sanja Lukumbuzya, Mantas Simkus
On the Relation Between Approximation Fixpoint Theory and Justification Theory
Simon Marynissen, Bart Bogaerts, Marc Denecker
Faster Smarter Proof by Induction in Isabelle/HOL
Yutaka Nagashima
Two Forms of Responsibility in Strategic Games
Pavel Naumov, Jia Tao
Compressing Exact Cover Problems with Zero-suppressed Binary Decision Diagrams
Masaaki Nishino, Norihito Yasuda, Kengo Nakamura
Modeling Precomputation In Games Played Under Computational Constraints
Thomas Orton
A Ladder of Causal Distances
Maxime Peyrard, Robert West
Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding
Zhiyuan Qi, Ziheng Zhang, Jiaoyan Chen, Xi Chen, Yuejia Xiang, Ningyu Zhang, Yefeng Zheng
Efficient PAC Reinforcement Learning in Regular Decision Processes
Alessandro Ronca, Giuseppe De Giacomo
Inconsistency Measurement for Paraconsistent Inference
Yakoub Salhi
A Description Logic for Analogical Reasoning
Steven Schockaert, Yazmin Ibanez-Garcia, Victor Gutierrez-Basulto
Ranking Extensions in Abstract Argumentation
Kenneth Skiba, Tjitze Rienstra, Matthias Thimm, Jesse Heyninck, Gabriele Kern-Isberner
Physics-informed Spline Learning for Nonlinear Dynamics Discovery
Fangzheng Sun, Yang Liu, Hao Sun
Lifting Symmetry Breaking Constraints with Inductive Logic Programming
Alice Tarzariol, Martin Gebser, Konstantin Schekotihin
Skeptical Reasoning with Preferred Semantics in Abstract Argumentation without Computing Preferred Extensions
Matthias Thimm, Federico Cerutti, Mauro Vallati
Abstract Argumentation Frameworks with Domain Assignments
Alexandros Vassiliades, Theodore Patkos, Giorgos Flouris, Antonis Bikakis, Nick Bassiliades, Dimitris Plexousakis
Transforming Robotic Plans with Timed Automata to Solve Temporal Platform Constraints
Tarik Viehmann, Till Hofmann, Gerhard Lakemeyer
Neighborhood Intervention Consistency: Measuring Confidence for Knowledge Graph Link Prediction
Kai Wang, Yu Liu, Quan Z. Sheng
Causal Discovery with Multi-Domain LiNGAM for Latent Factors
Yan Zeng, Shohei Shimizu, Ruichu Cai, Feng Xie, Michio Yamamoto, Zhifeng Hao
AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP Investigation in the Recommender System
Pengyu Zhao, Kecheng Xiao, Yuanxing Zhang, Kaigui Bian, Wei Yan
Machine Learning
The Surprising Power of Graph Neural Networks with Random Node Initialization
Ralph Abboud, İsmail İlkan Ceylan, Martin Grohe, Thomas Lukasiewicz
Likelihood-free Out-of-Distribution Detection with Invertible Generative Models
Amirhossein Ahmadian, Fredrik Lindsten
Simulation of Electron-Proton Scattering Events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN)
Yasir Alanazi, Nobuo Sato, Tianbo Liu, Wally Melnitchouk, Pawel Ambrozewicz, Florian Hauenstein, Michelle P. Kuchera, Evan Pritchard, Michael Robertson, Ryan Strauss, Luisa Velasco, Yaohang Li
Deep Reinforcement Learning for Navigation in AAA Video Games
Eloi Alonso, Maxim Peter, David Goumard, Joshua Romoff
Conditional Self-Supervised Learning for Few-Shot Classification
Yuexuan An, Hui Xue, Xingyu Zhao, Lu Zhang
DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization
Noor Awad, Neeratyoy Mallik, Frank Hutter
Verifying Reinforcement Learning up to Infinity
Edoardo Bacci, Mirco Giacobbe, David Parker
Robustly Learning Composable Options in Deep Reinforcement Learning
Akhil Bagaria, Jason Senthil, Matthew Slivinski, George Konidaris
Reconciling Rewards with Predictive State Representations
Andrea Baisero, Christopher Amato
Optimal Algorithms for Range Searching over Multi-Armed Bandits
Siddharth Barman, Ramakrishnan Krishnamurthy, Saladi Rahul
Efficient Neural Network Verification via Layer-based Semidefinite Relaxations and Linear Cuts
Ben Batten, Panagiotis Kouvaros, Alessio Lomuscio, Yang Zheng
Fast Pareto Optimization for Subset Selection with Dynamic Cost Constraints
Chao Bian, Chao Qian, Frank Neumann, Yang Yu
Partial Multi-Label Optimal Margin Distribution Machine
Nan Cao, Teng Zhang, Hai Jin
Towards Understanding the Spectral Bias of Deep Learning
Yuan Cao, Zhiying Fang, Yue Wu, Ding-Xuan Zhou, Quanquan Gu
Thompson Sampling for Bandits with Clustered Arms
Emil Carlsson, Devdatt Dubhashi, Fredrik D. Johansson
Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in a First-person Simulated 3D Environment
Wilka Carvalho, Anthony Liang, Kimin Lee, Sungryull Sohn, Honglak Lee, Richard Lewis, Satinder Singh
Generative Adversarial Neural Architecture Search
Seyed Saeed Changiz Rezaei, Fred X. Han, Di Niu, Mohammad Salameh, Keith Mills, Shuo Lian, Wei Lu, Shangling Jui
AMA-GCN: Adaptive Multi-layer Aggregation Graph Convolutional Network for Disease Prediction
Hao Chen, Fuzhen Zhuang, Li Xiao, Ling Ma, Haiyan Liu, Ruifang Zhang, Huiqin Jiang, Qing He
Learning Attributed Graph Representation with Communicative Message Passing Transformer
Jianwen Chen, Shuangjia Zheng, Ying Song, Jiahua Rao, Yuedong Yang
Understanding Structural Vulnerability in Graph Convolutional Networks
Liang Chen, Jintang Li, Qibiao Peng, Yang Liu, Zibin Zheng, Carl Yang
Monte Carlo Filtering Objectives
Shuangshuang Chen, Sihao Ding, Yiannis Karayiannidis, Mårten Björkman
Dependent Multi-Task Learning with Causal Intervention for Image Captioning
Wenqing Chen, Jidong Tian, Caoyun Fan, Hao He, Yaohui Jin
Few-Shot Learning with Part Discovery and Augmentation from Unlabeled Images
Wentao Chen, Chenyang Si, Wei Wang, Liang Wang, Zilei Wang, Tieniu Tan
On Self-Distilling Graph Neural Network
Yuzhao Chen, Yatao Bian, Xi Xiao, Yu Rong, Tingyang Xu, Junzhou Huang
Time-Aware Multi-Scale RNNs for Time Series Modeling
Zipeng Chen, Qianli Ma, Zhenxi Lin
Variational Model-based Policy Optimization
Yinlam Chow, Brandon Cui, Moonkyung Ryu, Mohammad Ghavamzadeh
CuCo: Graph Representation with Curriculum Contrastive Learning
Guanyi Chu, Xiao Wang, Chuan Shi, Xunqiang Jiang
Convexified Graph Neural Networks for Distributed Control in Robotic Swarms
Saar Cohen, Noa Agmon
Isotonic Data Augmentation for Knowledge Distillation
Wanyun Cui, Sen Yan
Graph-Free Knowledge Distillation for Graph Neural Networks
Xiang Deng, Zhongfei Zhang
Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks
Jianhao Ding, Zhaofei Yu, Yonghong Tian, Tiejun Huang
Boosting Variational Inference With Locally Adaptive Step-Sizes
Gideon Dresdner, Saurav Shekhar, Fabian Pedregosa, Francesco Locatello, Gunnar Rätsch
Automatic Translation of Music-to-Dance for In-Game Characters
Yinglin Duan, Tianyang Shi, Zhipeng Hu, Zhengxia Zou, Changjie Fan, Yi Yuan, Xi Li
Time-Series Representation Learning via Temporal and Contextual Contrasting
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan
Jointly Learning Prices and Product Features
Ehsan Emamjomeh-Zadeh, Renato Paes Leme, Jon Schneider, Balasubramanian Sivan
BAMBOO: A Multi-instance Multi-label Approach Towards VDI User Logon Behavior Modeling
Wenping Fan, Yao Zhang, Qichen Hao, Xinya Wu, Min-Ling Zhang
Contrastive Model Invertion for Data-Free Knolwedge Distillation
Gongfan Fang, Jie Song, Xinchao Wang, Chengchao Shen, Xingen Wang, Mingli Song
Deep Reinforcement Learning for Multi-contact Motion Planning of Hexapod Robots
Huiqiao Fu, Kaiqiang Tang, Peng Li, Wenqi Zhang, Xinpeng Wang, Guizhou Deng, Tao Wang, Chunlin Chen
On the Convergence of Stochastic Compositional Gradient Descent Ascent Method
Hongchang Gao, Xiaoqian Wang, Lei Luo, Xinghua Shi
Learning Groupwise Explanations for Black-Box Models
Jingyue Gao, Xiting Wang, Yasha Wang, Yulan Yan, Xing Xie
Video Summarization via Label Distributions Dual-Reward
Yongbiao Gao, Ning Xu, Xin Geng
BOBCAT: Bilevel Optimization-Based Computerized Adaptive Testing
Aritra Ghosh, Andrew Lan
Method of Moments for Topic Models with Mixed Discrete and Continuous Features
Joachim Giesen, Paul Kahlmeyer, Sören Laue, Matthias Mitterreiter, Frank Nussbaum, Christoph Staudt, Sina Zarrieß
Bayesian Experience Reuse for Learning from Multiple Demonstrators
Mike Gimelfarb, Scott Sanner, Chi-Guhn Lee
Fast Multi-label Learning
Xiuwen Gong, Dong Yuan, Wei Bao
InverseNet: Augmenting Model Extraction Attacks with Training Data Inversion
Xueluan Gong, Yanjiao Chen, Wenbin Yang, Guanghao Mei, Qian Wang
Hierarchical Class-Based Curriculum Loss
Palash Goyal, Divya Choudhary, Shalini Ghosh
The Successful Ingredients of Policy Gradient Algorithms
Sven Gronauer, Martin Gottwald, Klaus Diepold
Learning Nash Equilibria in Zero-Sum Stochastic Games via Entropy-Regularized Policy Approximation
Yue Guan, Qifan Zhang, Panagiotis Tsiotras
Towards Understanding Deep Learning from Noisy Labels with Small-Loss Criterion
Xian-Jin Gui, Wei Wang, Zhang-Hao Tian
Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment
Jiaming Guo, Rui Zhang, Xishan Zhang, Shaohui Peng, Qi Yi, Zidong Du, Xing Hu, Qi Guo, Yunji Chen
DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation
Lei Guo, Li Tang, Tong Chen, Lei Zhu, Quoc Viet Hung Nguyen, Hongzhi Yin
Robust Regularization with Adversarial Labelling of Perturbed Samples
Xiaohui Guo, Richong Zhang, Yaowei Zheng, Yongyi Mao
Enabling Retrain-free Deep Neural Network Pruning Using Surrogate Lagrangian Relaxation
Deniz Gurevin, Mikhail Bragin, Caiwen Ding, Shanglin Zhou, Lynn Pepin, Bingbing Li, Fei Miao
Riemannian Stochastic Recursive Momentum Method for non-Convex Optimization
Andi Han, Junbin Gao
Fine-Grained Air Quality Inference via Multi-Channel Attention Model
Qilong Han, Dan Lu, Rui Chen
Model-Based Reinforcement Learning for Infinite-Horizon Discounted Constrained Markov Decision Processes
Aria HasanzadeZonuzy, Dileep Kalathil, Srinivas Shakkottai
State-Based Recurrent SPMNs for Decision-Theoretic Planning under Partial Observability
Layton Hayes, Prashant Doshi, Swaraj Pawar, Hari Teja Tatavarti
Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis
Yang He, Ning Yu, Margret Keuper, Mario Fritz
Interpretable Minority Synthesis for Imbalanced Classification
Yi He, Fudong Lin, Xu Yuan, Nian-Feng Tzeng
DEEPSPLIT: An Efficient Splitting Method for Neural Network Verification via Indirect Effect Analysis
Patrick Henriksen, Alessio Lomuscio
Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning
Hua Huang, Fanhua Shang, Yuanyuan Liu, Hongying Liu
UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks
Jing Huang, Jie Yang
Asynchronous Active Learning with Distributed Label Querying
Sheng-Jun Huang, Chen-Chen Zong, Kun-Peng Ning, Hai-Bo Ye
On the Neural Tangent Kernel of Deep Networks with Orthogonal Initialization
Wei Huang, Weitao Du, Richard Yi Da Xu
On Explaining Random Forests with SAT
Yacine Izza, Joao Marques-Silva
Reinforcement Learning for Route Optimization with Robustness Guarantees
Tobias Jacobs, Francesco Alesiani, Gulcin Ermis
Learning CNF Theories Using MDL and Predicate Invention
Arcchit Jain, Clément Gautrais, Angelika Kimmig, Luc De Raedt
Learning to Learn Personalized Neural Network for Ventricular Arrhythmias Detection on Intracardiac EGMs
Zhenge Jia, Zhepeng Wang, Feng Hong, Lichuan PING, Yiyu Shi, Jingtong Hu
SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging
Ziyu Jia, Youfang Lin, Jing Wang, Xuehui Wang, Peiyi Xie, Yingbin Zhang
Knowledge Consolidation based Class Incremental Online Learning with Limited Data
Mohammed Asad Karim, Vinay Kumar Verma, Pravendra Singh, Vinay Namboodiri, Piyush Rai
Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation
Taehyeon Kim, Jaehoon Oh, Nak Yil Kim, Sangwook Cho, Se-Young Yun
Epsilon Best Arm Identification in Spectral Bandits
Tomáš Kocák, Aurélien Garivier
Towards Scalable Complete Verification of Relu Neural Networks via Dependency-based Branching
Panagiotis Kouvaros, Alessio Lomuscio
Solving Continuous Control with Episodic Memory
Igor Kuznetsov, Andrey Filchenkov
On Guaranteed Optimal Robust Explanations for NLP Models
Emanuele La Malfa, Rhiannon Michelmore, Agnieszka M. Zbrzezny, Nicola Paoletti, Marta Kwiatkowska
Topological Uncertainty: Monitoring Trained Neural Networks through Persistence of Activation Graphs
Théo Lacombe, Yuichi Ike, Mathieu Carrière, Frédéric Chazal, Marc Glisse, Yuhei Umeda
RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning
Hankook Lee, Sungsoo Ahn, Seung-Woo Seo, You Young Song, Eunho Yang, Sung Ju Hwang, Jinwoo Shin
TextGTL: Graph-based Transductive Learning for Semi-supervised Text Classification via Structure-Sensitive Interpolation
Chen Li, Xutan Peng, Hao Peng, Jianxin Li, Lihong Wang
Regularising Knowledge Transfer by Meta Functional Learning
Pan Li, Yanwei Fu, Shaogang Gong
Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks
Pengyong Li, Jun Wang, Ziliang Li, Yixuan Qiao, Xianggen Liu, Fei Ma, Peng Gao, Sen Song, Guotong Xie
SHPOS: A Theoretical Guaranteed Accelerated Particle Optimization Sampling Method
Zhijian Li, Chao Zhang, Hui Qian, Xin Du, Lingwei Peng
An Adaptive News-Driven Method for CVaR-sensitive Online Portfolio Selection in Non-Stationary Financial Markets
Qianqiao Liang, Mengying Zhu, Xiaolin Zheng, Yan Wang
Residential Electric Load Forecasting via Attentive Transfer of Graph Neural Networks
Weixuan Lin, Di Wu
Graph Filter-based Multi-view Attributed Graph Clustering
Zhiping Lin, Zhao Kang
On the Intrinsic Differential Privacy of Bagging
Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong
Two-stage Training for Learning from Label Proportions
Jiabin Liu, Bo Wang, Xin Shen, Zhiquan Qi, Yingjie Tian
Adversarial Spectral Kernel Matching for Unsupervised Time Series Domain Adaptation
Qiao Liu, Hui Xue
Smart Contract Vulnerability Detection: From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion
Zhenguang Liu, Peng Qian, Xiang Wang, Lei Zhu, Qinming He, Shouling Ji
Transfer Learning via Optimal Transportation for Integrative Cancer Patient Stratification
Ziyu Liu, Wei Shao, Jie Zhang, Min Zhang, Kun Huang
Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks
Gongxu Luo, Jianxin Li, Hao Peng, Carl Yang, Lichao Sun, Philip S. Yu, Lifang He
Stochastic Actor-Executor-Critic for Image-to-Image Translation
Ziwei Luo, Jing Hu, Xin Wang, Siwei Lyu, Bin Kong, Youbing Yin, Qi Song, Xi Wu
Hierarchical Temporal Multi-Instance Learning for Video-based Student Learning Engagement Assessment
Jiayao Ma, Xinbo Jiang, Songhua Xu, Xueying Qin
Multi-Cause Effect Estimation with Disentangled Confounder Representation
Jing Ma, Ruocheng Guo, Aidong Zhang, Jundong Li
Average-Reward Reinforcement Learning with Trust Region Methods
Xiaoteng Ma, Xiaohang Tang, Li Xia, Jun Yang, Qianchuan Zhao
Temporal and Object Quantification Networks
Jiayuan Mao, Zhezheng Luo, Chuang Gan, Joshua B. Tenenbaum, Jiajun Wu, Leslie Pack Kaelbling, Tomer D. Ullman
Evaluating Relaxations of Logic for Neural Networks: A Comprehensive Study
Mattia Medina Grespan, Ashim Gupta, Vivek Srikumar
Minimization of Limit-Average Automata
Jakub Michaliszyn, Jan Otop
Details (Don't) Matter: Isolating Cluster Information in Deep Embedded Spaces
Lukas Miklautz, Lena G. M. Bauer, Dominik Mautz, Sebastian Tschiatschek, Christian Böhm, Claudia Plant
Contrastive Losses and Solution Caching for Predict-and-Optimize
Maxime Mulamba, Jayanta Mandi, Michelangelo Diligenti, Michele Lombardi, Victor Bucarey, Tias Guns
Fine-grained Generalization Analysis of Structured Output Prediction
Waleed Mustafa, Yunwen Lei, Antoine Ledent, Marius Kloft
Accelerating Neural Architecture Search via Proxy Data
Byunggook Na, Jisoo Mok, Hyeokjun Choe, Sungroh Yoon
What Changed? Interpretable Model Comparison
Rahul Nair, Massimiliano Mattetti, Elizabeth Daly, Dennis Wei, Oznur Alkan, Yunfeng Zhang
TIDOT: A Teacher Imitation Learning Approach for Domain Adaptation with Optimal Transport
Tuan Nguyen, Trung Le, Nhan Dam, Quan Hung Tran, Truyen Nguyen, Dinh Phung
Learning Embeddings from Knowledge Graphs With Numeric Edge Attributes
Sumit Pai, Luca Costabello
Explaining Deep Neural Network Models with Adversarial Gradient Integration
Deng Pan, Xin Li, Dongxiao Zhu
Two Birds with One Stone: Series Saliency for Accurate and Interpretable Multivariate Time Series Forecasting
Qingyi Pan, Wenbo Hu, Ning Chen
Learning Aggregation Functions
Giovanni Pellegrini, Alessandro Tibo, Paolo Frasconi, Andrea Passerini, Manfred Jaeger
Meta-Reinforcement Learning by Tracking Task Non-stationarity
Riccardo Poiani, Andrea Tirinzoni, Marcello Restelli
Multi-version Tensor Completion for Time-delayed Spatio-temporal Data
Cheng Qian, Nikos Kargas, Cao Xiao, Lucas Glass, Nicholas Sidiropoulos, Jimeng Sun
Multi-Agent Reinforcement Learning for Automated Peer-to-Peer Energy Trading in Double-Side Auction Market
Dawei Qiu, Jianhong Wang, Junkai Wang, Goran Strbac
Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation
Zhen Qiu, Yifan Zhang, Hongbin Lin, Shuaicheng Niu, Yanxia Liu, Qing Du, Mingkui Tan
Exact Acceleration of K-Means++ and K-Means||
Edward Raff
Stochastic Shortest Path with Adversarially Changing Costs
Aviv Rosenberg, Yishay Mansour
Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning
Sungyong Seo, Chuizheng Meng, Sirisha Rambhatla, Yan Liu
Don’t Do What Doesn’t Matter: Intrinsic Motivation with Action Usefulness
Mathieu Seurin, Florian Strub, Philippe Preux, Olivier Pietquin
Towards Robust Model Reuse in the Presence of Latent Domains
Jie-Jing Shao, Zhanzhan Cheng, Yu-Feng Li, Shiliang Pu
Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness
Dazhong Shen, Chuan Qin, Chao Wang, Hengshu Zhu, Enhong Chen, Hui Xiong
Interpretable Compositional Convolutional Neural Networks
Wen Shen, Zhihua Wei, Shikun Huang, Binbin Zhang, Jiaqi Fan, Ping Zhao, Quanshi Zhang
Unsupervised Progressive Learning and the STAM Architecture
James Smith, Cameron Taylor, Seth Baer, Constantine Dovrolis
Online Risk-Averse Submodular Maximization
Tasuku Soma, Yuichi Yoshida
Positive-Unlabeled Learning from Imbalanced Data
Guangxin Su, Weitong Chen, Miao Xu
Neural Architecture Search of SPD Manifold Networks
Rhea Sanjay Sukthanker, Zhiwu Huang, Suryansh Kumar, Erik Goron Endsjo, Yan Wu, Luc Van Gool
TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data
Chenxi Sun, Shenda Hong, Moxian Song, Yen-Hsiu Chou, Yongyue Sun, Derun Cai, Hongyan Li
MFNP: A Meta-optimized Model for Few-shot Next POI Recommendation
Huimin Sun, Jiajie Xu, Kai Zheng, Pengpeng Zhao, Pingfu Chao, Xiaofang Zhou
Towards Reducing Biases in Combining Multiple Experts Online
Yi Sun, Iván Ramírez Díaz, Alfredo Cuesta Infante, Kalyan Veeramachaneni
Predicting Traffic Congestion Evolution: A Deep Meta Learning Approach
Yidan Sun, Guiyuan Jiang, Siew Kei Lam, Peilan He
Hyperspectral Band Selection via Spatial-Spectral Weighted Region-wise Multiple Graph Fusion-Based Spectral Clustering
Chang Tang, Xinwang Liu, En Zhu, Lizhe Wang, Albert Zomaya
Self-supervised Network Evolution for Few-shot Classification
Xuwen Tang, Zhu Teng, Baopeng Zhang, Jianping Fan
Dual Active Learning for Both Model and Data Selection
Ying-Peng Tang, Sheng-Jun Huang
Compositional Neural Logic Programming
Son N. Tran
Sensitivity Direction Learning with Neural Networks Using Domain Knowledge as Soft Shape Constraints
Kazuyuki Wakasugi
Learning from Complementary Labels via Partial-Output Consistency Regularization
Deng-Bao Wang, Lei Feng, Min-Ling Zhang
Probabilistic Sufficient Explanations
Eric Wang, Pasha Khosravi, Guy Van den Broeck
Multi-hop Attention Graph Neural Networks
Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec
Learn the Highest Label and Rest Label Description Degrees
Jing Wang, Xin Geng
Stability and Generalization for Randomized Coordinate Descent
Puyu Wang, Liang Wu, Yunwen Lei
Discrete Multiple Kernel k-means
Rong Wang, Jitao Lu, Yihang Lu, Feiping Nie, Xuelong Li
Mean Field Equilibrium in Multi-Armed Bandit Game with Continuous Reward
Xiong Wang, Riheng Jia
Demiguise Attack: Crafting Invisible Semantic Adversarial Perturbations with Perceptual Similarity
Yajie Wang, Shangbo Wu, Wenyi Jiang, Shengang Hao, Yu-an Tan, Quanxin Zhang
Self-Supervised Adversarial Distribution Regularization for Medication Recommendation
Yanda Wang, Weitong Chen, Dechang PI, Lin Yue, Sen Wang, Miao Xu
Against Membership Inference Attack: Pruning is All You Need
Yijue Wang, Chenghong Wang, Zigeng Wang, Shanglin Zhou, Hang Liu, Jinbo Bi, Caiwen Ding, Sanguthevar Rajasekaran
Layer-Assisted Neural Topic Modeling over Document Networks
Yiming Wang, Ximing Li, Jihong Ouyang
Robust Adversarial Imitation Learning via Adaptively-Selected Demonstrations
Yunke Wang, Chang Xu, Bo Du
Reinforcement Learning Based Sparse Black-box Adversarial Attack on Video Recognition Models
Zeyuan Wang, Chaofeng Sha, Su Yang
Reward-Constrained Behavior Cloning
Zhaorong Wang, Meng Wang, Jingqi Zhang, Yingfeng Chen, Chongjie Zhang
Closing the BIG-LID: An Effective Local Intrinsic Dimensionality Defense for Nonlinear Regression Poisoning
Sandamal Weerasinghe, Tamas Abraham, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie, Benjamin I. P. Rubinstein
GSPL: A Succinct Kernel Model for Group-Sparse Projections Learning of Multiview Data
Danyang Wu, Jin Xu, Xia Dong, Meng Liao, Rong Wang, Feiping Nie, Xuelong Li
Deep Reinforcement Learning Boosted Partial Domain Adaptation
Keyu Wu, Min Wu, Jianfei Yang, Zhenghua Chen, Zhengguo Li, Xiaoli Li
Learning Deeper Non-Monotonic Networks by Softly Transferring Solution Space
Zheng-Fan Wu, Hui Xue, Weimin Bai
Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning
Mingkun Xu, Yujie Wu, Lei Deng, Faqiang Liu, Guoqi Li, Jing Pei
k-Nearest Neighbors by Means of Sequence to Sequence Deep Neural Networks and Memory Networks
Yiming Xu, Diego Klabjan
Evolutionary Gradient Descent for Non-convex Optimization
Ke Xue, Chao Qian, Ling Xu, Xudong Fei
KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation
Mengqi Xue, Jie Song, Xinchao Wang, Ying Chen, Xingen Wang, Mingli Song
Clustering-Induced Adaptive Structure Enhancing Network for Incomplete Multi-View Data
Zhe Xue, Junping Du, Changwei Zheng, Jie Song, Wenqi Ren, Meiyu Liang
Differentially Private Pairwise Learning Revisited
Zhiyu Xue, Shaoyang Yang, Mengdi Huai, Di Wang
Decomposable-Net: Scalable Low-Rank Compression for Neural Networks
Atsushi Yaguchi, Taiji Suzuki, Shuhei Nitta, Yukinobu Sakata, Akiyuki Tanizawa
A Clustering-based framework for Classifying Data Streams
Xuyang Yan, Abdollah Homaifar, Mrinmoy Sarkar, Abenezer Girma, Edward Tunstel
Multi-level Generative Models for Partial Label Learning with Non-random Label Noise
Yan Yan, Yuhong Guo
Secure Deep Graph Generation with Link Differential Privacy
Carl Yang, Haonan Wang, Ke Zhang, Liang Chen, Lichao Sun
Progressive Open-Domain Response Generation with Multiple Controllable Attributes
Haiqin Yang, Xiaoyuan Yao, Yiqun Duan, Jianping Shen, Jie Zhong, Kun Zhang
Unsupervised Path Representation Learning with Curriculum Negative Sampling
Sean Bin Yang, Chenjuan Guo, Jilin Hu, Jian Tang, Bin Yang
BESA: BERT-based Simulated Annealing for Adversarial Text Attacks
Xinghao Yang, Weifeng Liu, Dacheng Tao, Wei Liu
Rethinking Label-Wise Cross-Modal Retrieval from A Semantic Sharing Perspective
Yang Yang, Chubing Zhang, Yi-Chu Xu, Dianhai Yu, De-Chuan Zhan, Jian Yang
Blocking-based Neighbor Sampling for Large-scale Graph Neural Networks
Kai-Lang Yao, Wu-Jun Li
Understanding the Effect of Bias in Deep Anomaly Detection
Ziyu Ye, Yuxin Chen, Haitao Zheng
Improving Sequential Recommendation Consistency with Self-Supervised Imitation
Xu Yuan, Hongshen Chen, Yonghao Song, Xiaofang Zhao, Zhuoye Ding
Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models
Xiao Zang, Yi Xie, Jie Chen, Bo Yuan
Hindsight Trust Region Policy Optimization
Hanbo Zhang, Site Bai, Xuguang Lan, David Hsu, Nanning Zheng
Deep Descriptive Clustering
Hongjing Zhang, Ian Davidson
Independence-aware Advantage Estimation
Pushi Zhang, Li Zhao, Guoqing Liu, Jiang Bian, Minlie Huang, Tao Qin, Tie-Yan Liu
UNBERT: User-News Matching BERT for News Recommendation
Qi Zhang, Jingjie Li, Qinglin Jia, Chuyuan Wang, Jieming Zhu, Zhaowei Wang, Xiuqiang He
Correlation-Guided Representation for Multi-Label Text Classification
Qian-Wen Zhang, Ximing Zhang, Zhao Yan, Ruifang Liu, Yunbo Cao, Min-Ling Zhang
Private Stochastic Non-convex Optimization with Improved Utility Rates
Qiuchen Zhang, Jing Ma, Jian Lou, Li Xiong
Non-I.I.D. Multi-Instance Learning for Predicting Instance and Bag Labels with Variational Auto-Encoder
Weijia Zhang
Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts
Weinan Zhang, Xihuai Wang, Jian Shen, Ming Zhou
Rethink the Connections among Generalization, Memorization, and the Spectral Bias of DNNs
Xiao Zhang, Haoyi Xiong, Dongrui Wu
User Retention: A Causal Approach with Triple Task Modeling
Yang Zhang, Dong Wang, Qiang Li, Yue Shen, Ziqi Liu, Xiaodong Zeng, Zhiqiang Zhang, Jinjie Gu, Derek F. Wong
Neural Relation Inference for Multi-dimensional Temporal Point Processes via Message Passing Graph
Yunhao Zhang, Junchi Yan
Combining Tree Search and Action Prediction for State-of-the-Art Performance in DouDiZhu
Yunsheng Zhang, Dong Yan, Bei Shi, Haobo Fu, Qiang Fu, Hang Su, Jun Zhu, Ning Chen
Uncertainty-Aware Few-Shot Image Classification
Zhizheng Zhang, Cuiling Lan, Wenjun Zeng, Zhibo Chen, Shih-Fu Chang
Automatic Mixed-Precision Quantization Search of BERT
Changsheng Zhao, Ting Hua, Yilin Shen, Qian Lou, Hongxia Jin
Graph Debiased Contrastive Learning with Joint Representation Clustering
Han Zhao, Xu Yang, Zhenru Wang, Erkun Yang, Cheng Deng
Uncertainty-aware Binary Neural Networks
Junhe Zhao, Linlin Yang, Baochang Zhang, Guodong Guo, David Doermann
Few-Shot Partial-Label Learning
Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Lizhen Cui, Carlotta Domeniconi
Non-decreasing Quantile Function Network with Efficient Exploration for Distributional Reinforcement Learning
Fan Zhou, Zhoufan Zhu, Qi Kuang, Liwen Zhang
Multi-Target Invisibly Trojaned Networks for Visual Recognition and Detection
Xinzhe Zhou, Wenhao Jiang, Sheng Qi, Yadong Mu
AutoReCon: Neural Architecture Search-based Reconstruction for Data-free Compression
Baozhou Zhu, Peter Hofstee, Johan Peltenburg, Jinho Lee, Zaid Alars
You Get What You Sow: High Fidelity Image Synthesis with a Single Pretrained Network
Kefeng Zhu, Peilin Tong, Hongwei Kan, Rengang Li
MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks
Menghui Zhu, Minghuan Liu, Jian Shen, Zhicheng Zhang, Sheng Chen, Weinan Zhang, Deheng Ye, Yong Yu, Qiang Fu, Wei Yang
Machine Learning Applications
Toward Optimal Solution for the Context-Attentive Bandit Problem
Djallel Bouneffouf, Raphael Feraud, Sohini Upadhyay, Irina Rish, Yasaman Khazaeni
Sample Efficient Decentralized Stochastic Frank-Wolfe Methods for Continuous DR-Submodular Maximization
Hongchang Gao, Hanzi Xu, Slobodan Vucetic
Self-Guided Community Detection on Networks with Missing Edges
Dongxiao He, Shuai Li, Di Jin, Pengfei Jiao, Yuxiao Huang
Two-Sided Wasserstein Procrustes Analysis
Kun Jin, Chaoyue Liu, Cathy Xia
Solving Math Word Problems with Teacher Supervision
Zhenwen Liang, Xiangliang Zhang
Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare
Chang Lu, Chandan K Reddy, Prithwish Chakraborty, Samantha Kleinberg, Yue Ning
MDNN: A Multimodal Deep Neural Network for Predicting Drug-Drug Interaction Events
Tengfei Lyu, Jianliang Gao, Ling Tian, Zhao Li, Peng Zhang, Ji Zhang
SPADE: A Semi-supervised Probabilistic Approach for Detecting Errors in Tables
Minh Pham, Craig A. Knoblock, Muhao Chen, Binh Vu, Jay Pujara
TEC: A Time Evolving Contextual Graph Model for Speaker State Analysis in Political Debates
Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Rajiv Shah
Adaptive Residue-wise Profile Fusion for Low Homologous Protein Secondary Structure Prediction Using External Knowledge
Qin Wang, Jun Wei, Boyuan Wang, Zhen Li, Sheng Wang, Shuguang Cui
Ordering-Based Causal Discovery with Reinforcement Learning
Xiaoqiang Wang, Yali Du, Shengyu Zhu, Liangjun Ke, Zhitang Chen, Jianye Hao, Jun Wang
Boosting Offline Reinforcement Learning with Residual Generative Modeling
Hua Wei, Deheng Ye, Zhao Liu, Hao Wu, Bo Yuan, Qiang Fu, Wei Yang, Zhenhui Li
Multi-series Time-aware Sequence Partitioning for Disease Progression Modeling
Xi Yang, Yuan Zhang, Min Chi
Multidisciplinary Topics and Applications
A Rule Mining-based Advanced Persistent Threats Detection System
Sidahmed Benabderrahmane, Ghita Berrada, James Cheney, Petko Valtchev
Electrocardio Panorama: Synthesizing New ECG views with Self-supervision
Jintai Chen, Xiangshang Zheng, Hongyun Yu, Danny Z. Chen, Jian Wu
A Novel Sequence-to-Subgraph Framework for Diagnosis Classification
Jun Chen, Quan Yuan, Chao Lu, Haifeng Huang
Parallel Subtrajectory Alignment over Massive-Scale Trajectory Data
Lisi Chen, Shuo Shang, Shanshan Feng, Panos Kalnis
TrafficStream: A Streaming Traffic Flow Forecasting Framework Based on Graph Neural Networks and Continual Learning
Xu Chen, Junshan Wang, Kunqing Xie
Predictive Job Scheduling under Uncertain Constraints in Cloud Computing
Hang Dong, Boshi Wang, Bo Qiao, Wenqian Xing, Chuan Luo, Si Qin, Qingwei Lin, Dongmei Zhang, Gurpreet Virdi, Thomas Moscibroda
Fine-tuning Is Not Enough: A Simple yet Effective Watermark Removal Attack for DNN Models
Shangwei Guo, Tianwei Zhang, Han Qiu, Yi Zeng, Tao Xiang, Yang Liu
Dynamic Lane Traffic Signal Control with Group Attention and Multi-Timescale Reinforcement Learning
Qize Jiang, Jingze Li, Weiwei Sun, Baihua Zheng
Differentially Private Correlation Alignment for Domain Adaptation
Kaizhong Jin, Xiang Cheng, Jiaxi Yang, Kaiyuan Shen
Traffic Congestion Alleviation over Dynamic Road Networks: Continuous Optimal Route Combination for Trip Query Streams
Ke Li, Lisi Chen, Shuo Shang, Panos Kalnis, Bin Yao
CFR-MIX: Solving Imperfect Information Extensive-Form Games with Combinatorial Action Space
Shuxin Li, Youzhi Zhang, Xinrun Wang, Wanqi Xue, Bo An
Online Credit Payment Fraud Detection via Structure-Aware Hierarchical Recurrent Neural Network
Wangli Lin, Li Sun, Qiwei Zhong, Can Liu, Jinghua Feng, Xiang Ao, Hao Yang
Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction
Guofeng Lv, Zhiqiang Hu, Yanguang Bi, Shaoting Zhang
Adapting Meta Knowledge with Heterogeneous Information Network for COVID-19 Themed Malicious Repository Detection
Yiyue Qian, Yiming Zhang, Yanfang Ye, Chuxu Zhang
Hierarchical Adaptive Temporal-Relational Modeling for Stock Trend Prediction
Heyuan Wang, Shun Li, Tengjiao Wang, Jiayi Zheng
BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning
Lun Wang, Zaynah Javed, Xian Wu, Wenbo Guo, Xinyu Xing, Dawn Song
Hiding Numerical Vectors in Local Private and Shuffled Messages
Shaowei Wang, Jin Li, Yuqiu Qian, Jiachun Du, Wenqing Lin, Wei Yang
Solving Large-Scale Extensive-Form Network Security Games via Neural Fictitious Self-Play
Wanqi Xue, Youzhi Zhang, Shuxin Li, Xinrun Wang, Bo An, Chai Kiat Yeo
Towards Generating Summaries for Lexically Confusing Code through Code Erosion
Fan Yan, Ming Li
Change Matters: Medication Change Prediction with Recurrent Residual Networks
Chaoqi Yang, Cao Xiao, Lucas Glass, Jimeng Sun
SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations
Chaoqi Yang, Cao Xiao, Fenglong Ma, Lucas Glass, Jimeng Sun
Real-Time Pricing Optimization for Ride-Hailing Quality of Service
Enpeng Yuan, Pascal Van Hentenryck
GraphMI: Extracting Private Graph Data from Graph Neural Networks
Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chengqiang Lu, Chuanren Liu, Enhong Chen
CSGNN: Contrastive Self-Supervised Graph Neural Network for Molecular Interaction Prediction
Chengshuai Zhao, Shuai Liu, Feng Huang, Shichao Liu, Wen Zhang
Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based Multi-view Modeling
Liang Zhao, Wei Li, Ruihan Bao, Keiko Harimoto, Yunfang Wu, Xu Sun
Objective-aware Traffic Simulation via Inverse Reinforcement Learning
Guanjie Zheng, Hanyang Liu, Kai Xu, Zhenhui Li
Natural Language Processing
Exemplification Modeling: Can You Give Me an Example, Please?
Edoardo Barba, Luigi Procopio, Caterina Lacerra, Tommaso Pasini, Roberto Navigli
Generating Senses and RoLes: An End-to-End Model for Dependency- and Span-based Semantic Role Labeling
Rexhina Blloshmi, Simone Conia, Rocco Tripodi, Roberto Navigli
Improving Context-Aware Neural Machine Translation with Source-side Monolingual Documents
Linqing Chen, Junhui Li, Zhengxian Gong, Xiangyu Duan, Boxing Chen, Weihua Luo, Min Zhang, Guodong Zhou
Focus on Interaction: A Novel Dynamic Graph Model for Joint Multiple Intent Detection and Slot Filling
Zeyuan Ding, Zhihao Yang, Hongfei Lin, Jian Wang
Dialogue Discourse-Aware Graph Model and Data Augmentation for Meeting Summarization
Xiachong Feng, Xiaocheng Feng, Bing Qin, Xinwei Geng
Automatically Paraphrasing via Sentence Reconstruction and Round-trip Translation
Zilu Guo, Zhongqiang Huang, Kenny Q. Zhu, Guandan Chen, Kaibo Zhang, Boxing Chen, Fei Huang
Dialogue Disentanglement in Software Engineering: How Far are We?
Ziyou Jiang, Lin Shi, Celia Chen, Jun Hu, Qing Wang
FedSpeech: Federated Text-to-Speech with Continual Learning
Ziyue Jiang, Yi Ren, Ming Lei, Zhou Zhao
ALaSca: an Automated approach for Large-Scale Lexical Substitution
Caterina Lacerra, Tommaso Pasini, Rocco Tripodi, Roberto Navigli
Enhancing Label Representations with Relational Inductive Bias Constraint for Fine-Grained Entity Typing
Jinqing Li, Xiaojun Chen, Dakui Wang, Yuwei Li
Modelling General Properties of Nouns by Selectively Averaging Contextualised Embeddings
Na Li, Zied Bouraoui, Jose Camacho-Collados, Luis Espinosa-Anke, Qing Gu, Steven Schockaert
Asynchronous Multi-grained Graph Network For Interpretable Multi-hop Reading Comprehension
Ronghan Li, Lifang Wang, Shengli Wang, Zejun Jiang
Keep the Structure: A Latent Shift-Reduce Parser for Semantic Parsing
Yuntao Li, Bei Chen, Qian Liu, Yan Gao, Jian-Guang Lou, Yan Zhang, Dongmei Zhang
Discourse-Level Event Temporal Ordering with Uncertainty-Guided Graph Completion
Jian Liu, Jinan Xu, Yufeng Chen, Yujie Zhang
Improving Text Generation with Dynamic Masking and Recovering
Zhidong Liu, Junhui Li, Muhua Zhu
Consistent Inference for Dialogue Relation Extraction
Xinwei Long, Shuzi Niu, Yucheng Li
Multi-Hop Fact Checking of Political Claims
Wojciech Ostrowski, Arnav Arora, Pepa Atanasova, Isabelle Augenstein
Laughing Heads: Can Transformers Detect What Makes a Sentence Funny?
Maxime Peyrard, Beatriz Borges, Kristina Gligorić, Robert West
A Streaming End-to-End Framework For Spoken Language Understanding
Nihal Potdar, Anderson Raymundo Avila, Chao Xing, Dong Wang, Yiran Cao, Xiao Chen
MultiMirror: Neural Cross-lingual Word Alignment for Multilingual Word Sense Disambiguation
Luigi Procopio, Edoardo Barba, Federico Martelli, Roberto Navigli
Learning Class-Transductive Intent Representations for Zero-shot Intent Detection
Qingyi Si, Yuanxin Liu, Peng Fu, Zheng Lin, Jiangnan Li, Weiping Wang
MEDA: Meta-Learning with Data Augmentation for Few-Shot Text Classification
Pengfei Sun, Yawen Ouyang, Wenming Zhang, Xin-yu Dai
A Sequence-to-Set Network for Nested Named Entity Recognition
Zeqi Tan, Yongliang Shen, Shuai Zhang, Weiming Lu, Yueting Zhuang
A Structure Self-Aware Model for Discourse Parsing on Multi-Party Dialogues
Ante Wang, Linfeng Song, Hui Jiang, Shaopeng Lai, Junfeng Yao, Min Zhang, Jinsong Su
Hierarchical Modeling of Label Dependency and Label Noise in Fine-grained Entity Typing
Junshuang Wu, Richong Zhang, Yongyi Mao, Masoumeh Soflaei Shahrbabak, Jinpeng Huai
Learn from Syntax: Improving Pair-wise Aspect and Opinion Terms Extraction with Rich Syntactic Knowledge
Shengqiong Wu, Hao Fei, Yafeng Ren, Donghong Ji, Jingye Li
Knowledge-Aware Dialogue Generation via Hierarchical Infobox Accessing and Infobox-Dialogue Interaction Graph Network
Sixing Wu, Minghui Wang, Dawei Zhang, Yang Zhou, Ying Li, Zhonghai Wu
Improving Stylized Neural Machine Translation with Iterative Dual Knowledge Transfer
Xuanxuan Wu, Jian Liu, Xinjie Li, Jinan Xu, Yufeng Chen, Yujie Zhang, Hui Huang
UniMF: A Unified Framework to Incorporate Multimodal Knowledge Bases intoEnd-to-End Task-Oriented Dialogue Systems
Shiquan Yang, Rui Zhang, Sarah M. Erfani, Jey Han Lau
MRD-Net: Multi-Modal Residual Knowledge Distillation for Spoken Question Answering
Chenyu You, Nuo Chen, Yuexian Zou
Cross-Domain Slot Filling as Machine Reading Comprehension
Mengshi Yu, Jian Liu, Yufeng Chen, Jinan Xu, Yujie Zhang
Document-level Relation Extraction as Semantic Segmentation
Ningyu Zhang, Xiang Chen, Xin Xie, Shumin Deng, Chuanqi Tan, Mosha Chen, Fei Huang, Luo Si, Huajun Chen
Drop Redundant, Shrink Irrelevant: Selective Knowledge Injection for Language Pretraining
Ningyu Zhang, Shumin Deng, Xu Cheng, Xi Chen, Yichi Zhang, Wei Zhang, Huajun Chen
Relational Gating for ''What If'' Reasoning
Chen Zheng, Parisa Kordjamshidi
Planning and Scheduling
Efficient Black-Box Planning Using Macro-Actions with Focused Effects
Cameron Allen, Michael Katz, Tim Klinger, George Konidaris, Matthew Riemer, Gerald Tesauro
ME-MCTS: Online Generalization by Combining Multiple Value Estimators
Hendrik Baier, Michael Kaisers
Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive Healthcare
Arpita Biswas, Gaurav Aggarwal, Pradeep Varakantham, Milind Tambe
Type-WA*: Using Exploration in Bounded Suboptimal Planning
Eldan Cohen, Richard Valenzano, Sheila McIlraith
Custom-Design of FDR Encodings: The Case of Red-Black Planning
Daniel Fišer, Daniel Gnad, Michael Katz, Jörg Hoffmann
Active Goal Recognition Design
Kevin C. Gall, Wheeler Ruml, Sarah Keren
Stochastic Probing with Increasing Precision
Martin Hoefer, Kevin Schewior, Daniel Schmand
Incorporating Queueing Dynamics into Schedule-Driven Traffic Control
Hsu-Chieh Hu, Allen M. Hawkes, Stephen F. Smith
Symbolic Dynamic Programming for Continuous State MDPs with Linear Program Transitions
Jihwan Jeong, Parth Jaggi, Scott Sanner
Interference-free Walks in Time: Temporally Disjoint Paths
Nina Klobas, George B. Mertzios, Hendrik Molter, Rolf Niedermeier, Philipp Zschoche
Counterfactual Explanations for Optimization-Based Decisions in the Context of the GDPR
Anton Korikov, Alexander Shleyfman, J. Christopher Beck
LTL-Constrained Steady-State Policy Synthesis
Jan Křetínský
Online Learning of Action Models for PDDL Planning
Leonardo Lamanna, Alessandro Saetti, Luciano Serafini, Alfonso Gerevini, Paolo Traverso
Polynomial-Time in PDDL Input Size: Making the Delete Relaxation Feasible for Lifted Planning
Pascal Lauer, Alvaro Torralba, Daniel Fišer, Daniel Höller, Julia Wichlacz, Jörg Hoffmann
Anytime Multi-Agent Path Finding via Large Neighborhood Search
Jiaoyang Li, Zhe Chen, Daniel Harabor, Peter J. Stuckey, Sven Koenig
Dynamic Rebalancing Dockless Bike-Sharing System based on Station Community Discovery
Jingjing Li, Qiang Wang, Wenqi Zhang, Donghai Shi, Zhiwei Qin
Synthesizing Good-Enough Strategies for LTLf Specifications
Yong Li, Andrea Turrini, Moshe Y. Vardi, Lijun Zhang
Change the World - How Hard Can that Be? On the Computational Complexity of Fixing Planning Models
Songtuan Lin, Pascal Bercher
Learning Temporal Plan Preferences from Examples: An Empirical Study
Valentin Seimetz, Rebecca Eifler, Jörg Hoffmann
On Weak Stubborn Sets in Classical Planning
Silvan Sievers, Martin Wehrle
Learning Generalized Unsolvability Heuristics for Classical Planning
Simon Ståhlberg, Guillem Francès, Jendrik Seipp
Solving Partially Observable Stochastic Shortest-Path Games
Petr Tomášek, Karel Horák, Aditya Aradhye, Branislav Bošanský, Krishnendu Chatterjee
The Fewer the Merrier: Pruning Preferred Operators with Novelty
Alexander Tuisov, Michael Katz
TANGO: Commonsense Generalization in Predicting Tool Interactions for Mobile Manipulators
Shreshth Tuli, Rajas Bansal, Rohan Paul, Mausam
The Traveling Tournament Problem with Maximum Tour Length Two: A Practical Algorithm with An Improved Approximation Bound
Jingyang Zhao, Mingyu Xiao
Uncertainty in AI
Non-Parametric Stochastic Sequential Assignment With Random Arrival Times
Danial Dervovic, Parisa Hassanzadeh, Samuel Assefa, Prashant Reddy
On the Parameterized Complexity of Polytree Learning
Niels Grüttemeier, Christian Komusiewicz, Nils Morawietz
Handling Overlaps When Lifting Gaussian Bayesian Networks
Mattis Hartwig, Tanya Braun, Ralf Möller
Deep Bucket Elimination
Yasaman Razeghi, Kalev Kask, Yadong Lu, Pierre Baldi, Sakshi Agarwal, Rina Dechter
BKT-POMDP: Fast Action Selection for User Skill Modelling over Tasks with Multiple Skills
Nicole Salomons, Emir Akdere, Brian Scassellati
Improved Acyclicity Reasoning for Bayesian Network Structure Learning with Constraint Programming
Fulya Trösser, Simon de Givry, George Katsirelos
Provable Guarantees on the Robustness of Decision Rules to Causal Interventions
Benjie Wang, Clare Lyle, Marta Kwiatkowska
Fast Algorithms for Relational Marginal Polytopes
Yuanhong Wang, Timothy van Bremen, Juhua Pu, Yuyi Wang, Ondrej Kuzelka

Survey Track

Partition Function Estimation: A Quantitative Study
Durgesh Agrawal, Yash Pote, Kuldeep S. Meel
A Survey of Machine Learning-Based Physics Event Generation
Yasir Alanazi, Nobuo Sato, Pawel Ambrozewicz, Astrid Hiller-Blin, Wally Melnitchouk, Marco Battaglieri, Tianbo Liu, Yaohang Li
Distortion in Social Choice Problems: The First 15 Years and Beyond
Elliot Anshelevich, Aris Filos-Ratsikas, Nisarg Shah, Alexandros A. Voudouris
Building Affordance Relations for Robotic Agents - A Review
Paola Ardón, Èric Pairet, Katrin S. Lohan, Subramanian Ramamoorthy, Ron P. A. Petrick
Recent Advances in Adversarial Training for Adversarial Robustness
Tao Bai, Jinqi Luo, Jun Zhao, Bihan Wen, Qian Wang
Hardware-Aware Neural Architecture Search: Survey and Taxonomy
Hadjer Benmeziane, Kaoutar El Maghraoui, Hamza Ouarnoughi, Smail Niar, Martin Wistuba, Naigang Wang
Recent Trends in Word Sense Disambiguation: A Survey
Michele Bevilacqua, Tommaso Pasini, Alessandro Raganato, Roberto Navigli
When Computational Representation Meets Neuroscience: A Survey on Brain Encoding and Decoding
Lu Cao, Dandan Huang, Yue Zhang
Combinatorial Optimization and Reasoning with Graph Neural Networks
Quentin Cappart, Didier Chételat, Elias B. Khalil, Andrea Lodi, Christopher Morris, Petar Veličković
Mechanism Design for Facility Location Problems: A Survey
Hau Chan, Aris Filos-Ratsikas, Bo Li, Minming Li, Chenhao Wang
Knowledge-aware Zero-Shot Learning: Survey and Perspective
Jiaoyan Chen, Yuxia Geng, Zhuo Chen, Ian Horrocks, Jeff Z. Pan, Huajun Chen
Causal Learning for Socially Responsible AI
Lu Cheng, Ahmadreza Mosallanezhad, Paras Sheth, Huan Liu
Understanding the Relationship between Interactions and Outcomes in Human-in-the-Loop Machine Learning
Yuchen Cui, Pallavi Koppol, Henny Admoni, Scott Niekum, Reid Simmons, Aaron Steinfeld, Tesca Fitzgerald
Argumentative XAI: A Survey
Kristijonas Čyras, Antonio Rago, Emanuele Albini, Pietro Baroni, Francesca Toni
Explanation in Constraint Satisfaction: A Survey
Sharmi Dev Gupta, Begum Genc, Barry O'Sullivan
Bayesian Nonparametric Space Partitions: A Survey
Xuhui Fan, Bin Li, Ling Luo, Scott A. Sisson
Where Is Your Place, Visual Place Recognition?
Sourav Garg, Tobias Fischer, Michael Milford
A Comprehensive Survey on Image Dehazing Based on Deep Learning
Jie Gui, Xiaofeng Cong, Yuan Cao, Wenqi Ren, Jun Zhang, Jing Zhang, Dacheng Tao
Emerging Methods of Auction Design in Social Networks
Yuhang Guo, Dong Hao
Recent Advances in Heterogeneous Relation Learning for Recommendation
Chao Huang
Optimal Transport for Deep Generative Models: State of the Art and Research Challenges
Viet Huynh, Dinh Phung, He Zhao
Reasoning-Based Learning of Interpretable ML Models
Alexey Ignatiev, Joao Marques-Silva, Nina Narodytska, Peter J. Stuckey
If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques
Mark T. Keane, Eoin M. Kenny, Eoin Delaney, Barry Smyth
End-to-End Constrained Optimization Learning: A Survey
James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck, Bryan Wilder
A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions
Yunshi Lan, Gaole He, Jinhao Jiang, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen
Pretrained Language Model for Text Generation: A Survey
Junyi Li, Tianyi Tang, Wayne Xin Zhao, Ji-Rong Wen
Person Search Challenges and Solutions: A Survey
Xiangtan Lin, Pengzhen Ren, Yun Xiao, Xiaojun Chang, Alex Hauptmann
Policy Learning with Constraints in Model-free Reinforcement Learning: A Survey
Yongshuai Liu, Avishai Halev, Xin Liu
What’s the Context? Implicit and Explicit Assumptions in Model-Based Goal Recognition
Peta Masters, Mor Vered
A Survey on Goal Recognition as Planning
Felipe Meneguzzi, Ramon Fraga Pereira
Hybrid Probabilistic Inference with Logical and Algebraic Constraints: a Survey
Paolo Morettin, Pedro Zuidberg Dos Martires, Samuel Kolb, Andrea Passerini
The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs
Christopher Morris, Matthias Fey, Nils Kriege
Automated Fact-Checking for Assisting Human Fact-Checkers
Preslav Nakov, David Corney, Maram Hasanain, Firoj Alam, Tamer Elsayed, Alberto Barrón-Cedeño, Paolo Papotti, Shaden Shaar, Giovanni Da San Martino
Ten Years of BabelNet: A Survey
Roberto Navigli, Michele Bevilacqua, Simone Conia, Dario Montagnini, Francesco Cecconi
Analogical Proportions: Why They Are Useful in AI
Henri Prade, Gilles Richard
A Survey on Spoken Language Understanding: Recent Advances and New Frontiers
Libo Qin, Tianbao Xie, Wanxiang Che, Ting Liu
Neural Temporal Point Processes: A Review
Oleksandr Shchur, Ali Caner Türkmen, Tim Januschowski, Stephan Günnemann
Qualitative Spatial and Temporal Reasoning: Current Status and Future Challenges
Michael Sioutis, Diedrich Wolter
A Unifying Bayesian Formulation of Measures of Interpretability in Human-AI Interaction
Sarath Sreedharan, Anagha Kulkarni, David Smith, Subbarao Kambhampati
Tournaments in Computational Social Choice: Recent Developments
Warut Suksompong
A Survey on Response Selection for Retrieval-based Dialogues
Chongyang Tao, Jiazhan Feng, Rui Yan, Wei Wu, Daxin Jiang
Generalizing to Unseen Domains: A Survey on Domain Generalization
Jindong Wang, Cuiling Lan, Chang Liu, Yidong Ouyang, Tao Qin
A Survey on Low-Resource Neural Machine Translation
Rui Wang, Xu Tan, Renqian Luo, Tao Qin, Tie-Yan Liu
Graph Learning based Recommender Systems: A Review
Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Francesco Ricci, Philip S. Yu
Time Series Data Augmentation for Deep Learning: A Survey
Qingsong Wen, Liang Sun, Fan Yang, Xiaomin Song, Jingkun Gao, Xue Wang, Huan Xu
Challenges and Opportunities of Building Fast GBDT Systems
Zeyi Wen, Qinbin Li, Bingsheng He, Bin Cui
Information-Theoretic Methods in Deep Neural Networks: Recent Advances and Emerging Opportunities
Shujian Yu, Luis Sanchez Giraldo, Jose Principe
A Comparative Survey: Benchmarking for Pool-based Active Learning
Xueying Zhan, Huan Liu, Qing Li, Antoni B. Chan
A Survey on Universal Adversarial Attack
Chaoning Zhang, Philipp Benz, Chenguo Lin, Adil Karjauv, Jing Wu, In So Kweon
Deep Learning for Click-Through Rate Estimation
Weinan Zhang, Jiarui Qin, Wei Guo, Ruiming Tang, Xiuqiang He
Automated Machine Learning on Graphs: A Survey
Ziwei Zhang, Xin Wang, Wenwu Zhu
Topic Modelling Meets Deep Neural Networks: A Survey
He Zhao, Dinh Phung, Viet Huynh, Yuan Jin, Lan Du, Wray Buntine
Cross-Domain Recommendation: Challenges, Progress, and Prospects
Feng Zhu, Yan Wang, Chaochao Chen, Jun Zhou, Longfei Li, Guanfeng Liu

Sister Conferences Best Papers

Hierarchical Graph Traversal for Aggregate k Nearest Neighbors Search in Road Networks (Extended Abstract)
Tenindra Abeywickrama, Muhammad Aamir Cheema, Sabine Storandt
Defining the Semantics of Abstract Argumentation Frameworks through Logic Programs and Partial Stable Models (Extended Abstract)
Gianvincenzo Alfano, Sergio Greco, Francesco Parisi, Irina Trubitsyna
Comparing Weak Admissibility Semantics to their Dung-style Counterparts (Extended Abstract)
Ringo Baumann, Gerhard Brewka, Markus Ulbricht
Abstract Cores in Implicit Hitting Set MaxSat Solving (Extended Abstract)
Jeremias Berg, Fahiem Bacchus, Alex Poole
Robust Domain Adaptation: Representations, Weights and Inductive Bias (Extended Abstract)
Victor Bouvier, Philippe Very, Clément Chastagnol, Myriam Tami, Céline Hudelot
Decentralized No-regret Learning Algorithms for Extensive-form Correlated Equilibria (Extended Abstract)
Andrea Celli, Alberto Marchesi, Gabriele Farina, Nicola Gatti
Weaving a Semantic Web of Credibility Reviews for Explainable Misinformation Detection (Extended Abstract)
Ronald Denaux, Martino Mensio, Jose Manuel Gomez-Perez, Harith Alani
Improved Guarantees and a Multiple-descent Curve for Column Subset Selection and the Nystrom Method (Extended Abstract)
Michał Dereziński, Rajiv Khanna, Michael W. Mahoney
Mental Models of AI Agents in a Cooperative Game Setting (Extended Abstract)
Katy Ilonka Gero, Zahra Ashktorab, Casey Dugan, Qian Pan, James Johnson, Werner Geyer, Maria Ruiz, Sarah Miller, David R. Millen, Murray Campbell, Sadhana Kumaravel, Wei Zhang
Successor-Invariant First-Order Logic on Classes of Bounded Degree (Extended Abstract)
Julien Grange
Deep Drone Acrobatics (Extended Abstract)
Elia Kaufmann, Antonio Loquercio, Rene Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza
On Sampled Metrics for Item Recommendation (Extended Abstract)
Walid Krichene, Steffen Rendle
Revisiting Wedge Sampling for Budgeted Maximum Inner Product Search (Extended Abstract)
Stephan S. Lorenzen, Ninh Pham
On Learning Sets of Symmetric Elements (Extended Abstract)
Haggai Maron, Or Litany, Gal Chechik, Ethan Fetaya
The Moodoo Library: Quantitative Metrics to Model How Teachers Make Use of the Classroom Space by Analysing Indoor Positioning Traces (Extended Abstract)
Roberto Martinez-Maldonado, Vanessa Echeverria, Katerina Mangaroska, Antonette Shibani, Gloria Fernandez-Nieto, Jurgen Schulte, Simon Buckingham Shum
Controlling Fairness and Bias in Dynamic Learning-to-Rank (Extended Abstract)
Marco Morik, Ashudeep Singh, Jessica Hong, Thorsten Joachims
Unifying Online and Counterfactual Learning to Rank: A Novel Counterfactual Estimator that Effectively Utilizes Online Interventions (Extended Abstract)
Harrie Oosterhuis, Maarten de Rijke
Finding the Hardest Formulas for Resolution (Extended Abstract)
Tomáš Peitl, Stefan Szeider
Exploring the Effects of Goal Setting When Training for Complex Crowdsourcing Tasks (Extended Abstract)
Amy Rechkemmer, Ming Yin
Beyond Accuracy: Behavioral Testing of NLP Models with Checklist (Extended Abstract)
Marco Tulio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh
Politeness for the Theory of Algebraic Datatypes (Extended Abstract)
Ying Sheng, Yoni Zohar, Christophe Ringeissen, Jane Lange, Pascal Fontaine, Clark Barrett
Imprecise Oracles Impose Limits to Predictability in Supervised Learning (Extended Abstract)
Anjali Sifar, Nisheeth Srivastava
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow (Extended Abstract)
Zachary Teed, Jia Deng
Open Intent Extraction from Natural Language Interactions (Extended Abstract)
Nikhita Vedula, Nedim Lipka, Pranav Maneriker, Srinivasan Parthasarathy
Speech Recognition Using RFID Tattoos (Extended Abstract)
Jingxian Wang, Chengfeng Pan, Haojian Jin, Vaibhav Singh, Yash Jain, Jason I. Hong, Carmel Majidi, Swarun Kumar
Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild (Extended Abstract)
Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi
TAXOGAN: Hierarchical Network Representation Learning via Taxonomy Guided Generative Adversarial Networks (Extended Abstract)
Carl Yang, Jieyu Zhang, Jiawei Han
Semantic Linking Maps for Active Visual Object Search (Extended Abstract)
Zhen Zeng, Adrian Röfer, Odest Chadwicke Jenkins
Deep Residual Reinforcement Learning (Extended Abstract)
Shangtong Zhang, Wendelin Boehmer, Shimon Whiteson

Doctoral Consortium

Greybox Algorithm Configuration
Marie Anastacio
Bottleneck Identification to Semantic Segmentation of Industrial 3D Point Cloud Scene via Deep Learning
Romain Cazorla, Line Poinel, Panagiotis Papadakis, Cédric Buche
Multi-agent Approach to Resource Allocation in Autonomous Vehicle Fleets
Alaa Daoud
Automatic Design of Heuristic Algorithms for Binary Optimization Problems
Marcelo de Souza
Distributional Metareasoning for Heuristic Search
Tianyi Gu
Automated Facilitation Support in Online Forum
Wen Gu
Safety Analysis of Deep Neural Networks
Dario Guidotti
Towards Robust Dynamic Network Embedding
Chengbin Hou, Ke Tang
An Information-Theoretic Approach on Causal Structure Learning for Heterogeneous Data Characteristics of Real-World Scenarios
Johannes Huegle
Robot Manipulation Learning Using Generative Adversarial Imitation Learning
Mohamed Khalil Jabri
Planning and Reinforcement Learning for General-Purpose Service Robots
Yuqian Jiang
Nash Welfare in the Facility Location Problem
Alexander Lam
Deep Reinforcement Learning with Hierarchical Structures
Siyuan Li
AI for Planning Public Health Interventions
Aditya Mate
Uncertain Time Series Classification
Michael Franklin Mbouopda
Combining Reinforcement Learning and Causal Models for Robotics Applications
Arquímides Méndez-Molina
On the Learnability of Knowledge in Multi-Agent Logics
Ionela G Mocanu
Towards an Explainer-agnostic Conversational XAI
Navid Nobani, Fabio Mercorio, Mario Mezzanzanica
Hardware-friendly Deep Learning by Network Quantization and Binarization
Haotong Qin
Modeling Institutions in Socio-Ecosystems
Sitraka Oliva Raharivelo, Jean-Pierre Müller
Inter-Task Similarity for Lifelong Reinforcement Learning in Heterogeneous Tasks
Sergio A. Serrano
A Human-AI Teaming Approach for Incremental Taxonomy Learning from Text
Andrea Seveso, Fabio Mercorio, Mario Mezzanzanica
Continual Lifelong Learning for Intelligent Agents
Ghada Sokar
Learning from Multimedia Data with Incomplete Information
Renshuai Tao
Data Efficient Algorithms and Interpretability Requirements for Personalized Assessment of Taskable AI Systems
Pulkit Verma
Adversarial Examples in Physical World
Jiakai Wang
Learning and Planning Under Uncertainty for Green Security
Lily Xu
An Automated Framework for Supporting Data-Governance Rule Compliance in Decentralized MIMO Contexts
Rui Zhao
Self-Adaptive Swarm System (SASS)
Qin Yang

Early Career

Anomaly Mining - Past, Present and Future
Leman Akoglu
From Computational Social Choice to Digital Democracy
Markus Brill
Adaptive Experimental Design for Optimizing Combinatorial Structures
Janardhan Rao Doppa
Intelligent and Learning Agents: Four Investigations
Shivaram Kalyanakrishnan
Safe Weakly Supervised Learning
Yu-Feng Li
Width-Based Algorithms for Common Problems in Control, Planning and Reinforcement Learning
Nir Lipovetzky
Towards a New Generation of Cognitive Diagnosis
Qi Liu
Alleviating Road Traffic Congestion with Artificial Intelligence
Guni Sharon
Towards Fair and Transparent Algorithmic Systems
Yair Zick

Demo Track

A Neural Network Auction For Group Decision Making Over a Continuous Space
Yoram Bachrach, Ian Gemp, Marta Garnelo, Janos Kramar, Tom Eccles, Dan Rosenbaum, Thore Graepel
Web Interoperability for Ontology Development and Support with crowd 2.0
German Braun, Giuliano Marinelli, Emiliano Rios Gavagnin, Laura Cecchi, Pablo Fillottrani
Skills2Graph: Processing million Job Ads to face the Job Skill Mismatch Problem
Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Andrea Seveso
HIVE: Hierarchical Information Visualization for Explainability
Yi-Ning Juan, Yi-Shyuan Chiang, Shang-Chuan Liu, Ming-Feng Tsai, Chuan-Ju Wang
ConvLogMiner: A Real-Time Conversational Lifelog Miner
Pei-Wei Kao, An-Zi Yen, Hen-Hsen Huang, Hsin-Hsi Chen
InfOCF-Web: An Online Tool for Nonmonotonic Reasoning with Conditionals and Ranking Functions
Steven Kutsch, Christoph Beierle
A Compression-Compilation Framework for On-mobile Real-time BERT Applications
Wei Niu, Zhenglun Kong, Geng Yuan, Weiwen Jiang, Jiexiong Guan, Caiwen Ding, Pu Zhao, Sijia Liu, Bin Ren, Yanzhi Wang
VisioRed: A Visualisation Tool for Interpretable Predictive Maintenance
Spyridon Paraschos, Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
Connect Multi-Agent Path Finding: Generation and Visualization
Arthur Queffelec, Ocan Sankur, Francois Schwarzentruber
Towards Fast and Accurate Multi-Person Pose Estimation on Mobile Devices
Xuan Shen, Geng Yuan, Wei Niu, Xiaolong Ma, Jiexiong Guan, Zhengang Li, Bin Ren, Yanzhi Wang
Predictive Analytics for COVID-19 Social Distancing
Harold Ze Chie Teng, Hongchao Jiang, Xuan Rong Zane Ho, Wei Yang Bryan Lim, Jer Shyuan Ng, Han Yu, Zehui Xiong, Dusit Niyato, Chunyan Miao
Graph-Augmented Code Summarization in Computational Notebooks
April Wang, Dakuo Wang, Xuye Liu, Lingfei Wu
Interactive Video Acquisition and Learning System for Motor Assessment of Parkinson's Disease
Yunyue Wei, Bingquan Zhu, Chen Hou, Chen Zhang, Yanan Sui
AutoBandit: A Meta Bandit Online Learning System
Miao Xie, Wotao Yin, Huan Xu
Communication-efficient and Scalable Decentralized Federated Edge Learning
Austine Zong Han Yapp, Hong Soo Nicholas Koh, Yan Ting Lai, Jiawen Kang, Xuandi Li, Jer Shyuan Ng, Hongchao Jiang, Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato
IIAS: An Intelligent Insurance Assessment System through Online Real-time Conversation Analysis
Mengdi Zhou, Shuang Peng, Minghui Yang, Nan Li, Hongbin Wang, Li Qiao, Haitao Mi, Zujie Wen, Teng Xu, Lei Liu
Self-Adaptive Swarm System (SASS)
Qin Yang