Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence
Macao, SAR
19-25 August 2023Edited by Edith Elkind
Sponsored by
International Joint Conferences on Artifical Intelligence (IJCAI)
Published by
International Joint Conferences on Artificial Intelligence
Copyright © 2023 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: Kristian Kersting, Computer Science Department, Technical University of Darmstadt, Hochschulstraße 10, D-64289 Darmstadt, Germany
IJCAI Executive Director - 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): 978-1-956792-03-4
Content
Main Track
Agent-based and Multi-agent Systems
Learning Dissemination Strategies for External Sources in Opinion Dynamic Models with Cognitive Biases
Artificial Agents Inspired by Human Motivation Psychology for Teamwork in Hazardous Environments
Cross-community Adapter Learning (CAL) to Understand the Evolving Meanings of Norm Violation
Learning in Multi-Memory Games Triggers Complex Dynamics Diverging from Nash Equilibrium
Scalable Communication for Multi-Agent Reinforcement Learning via Transformer-Based Email Mechanism
Beyond Strict Competition: Approximate Convergence of Multi-agent Q-Learning Dynamics
Learning to Send Reinforcements: Coordinating Multi-Agent Dynamic Police Patrol Dispatching and Rescheduling via Reinforcement Learning
Synthesizing Resilient Strategies for Infinite-Horizon Objectives in Multi-Agent Systems
In Which Graph Structures Can We Efficiently Find Temporally Disjoint Paths and Walks?
GPLight: Grouped Multi-agent Reinforcement Learning for Large-scale Traffic Signal Control
CVTP3D: Cross-view Trajectory Prediction Using Shared 3D Queries for Autonomous Driving
Optimal Anytime Coalition Structure Generation Utilizing Compact Solution Space Representation
AI Ethics, Trust, Fairness
Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs
Computer Vision
Tracking Different Ant Species: An Unsupervised Domain Adaptation Framework and a Dataset for Multi-object Tracking
RaSa: Relation and Sensitivity Aware Representation Learning for Text-based Person Search
ICDA: Illumination-Coupled Domain Adaptation Framework for Unsupervised Nighttime Semantic Segmentation
DFVSR: Directional Frequency Video Super-Resolution via Asymmetric and Enhancement Alignment Network
LION: Label Disambiguation for Semi-supervised Facial Expression Recognition with Progressive Negative Learning
LISSNAS: Locality-based Iterative Search Space Shrinkage for Neural Architecture Search
SS-BSN: Attentive Blind-Spot Network for Self-Supervised Denoising with Nonlocal Self-Similarity
Independent Feature Decomposition and Instance Alignment for Unsupervised Domain Adaptation
Enriching Phrases with Coupled Pixel and Object Contexts for Panoptic Narrative Grounding
StackFLOW: Monocular Human-Object Reconstruction by Stacked Normalizing Flow with Offset
Guided Patch-Grouping Wavelet Transformer with Spatial Congruence for Ultra-High Resolution Segmentation
ContrastMotion: Self-supervised Scene Motion Learning for Large-Scale LiDAR Point Clouds
Spatially Constrained Adversarial Attack Detection and Localization in the Representation Space of Optical Flow Networks
Character As Pixels: A Controllable Prompt Adversarial Attacking Framework for Black-Box Text Guided Image Generation Models
Deep Unfolding Convolutional Dictionary Model for Multi-Contrast MRI Super-resolution and Reconstruction
CiT-Net: Convolutional Neural Networks Hand in Hand with Vision Transformers for Medical Image Segmentation
Learning Attention from Attention: Efficient Self-Refinement Transformer for Face Super-Resolution
PowerBEV: A Powerful Yet Lightweight Framework for Instance Prediction in Bird’s-Eye View
Locate, Refine and Restore: A Progressive Enhancement Network for Camouflaged Object Detection
A Large-Scale Film Style Dataset for Learning Multi-frequency Driven Film Enhancement
U-Match: Two-view Correspondence Learning with Hierarchy-aware Local Context Aggregation
APR: Online Distant Point Cloud Registration through Aggregated Point Cloud Reconstruction
Adaptive Sparse ViT: Towards Learnable Adaptive Token Pruning by Fully Exploiting Self-Attention
Sph2Pob: Boosting Object Detection on Spherical Images with Planar Oriented Boxes Methods
Non-Lambertian Multispectral Photometric Stereo via Spectral Reflectance Decomposition
Invertible Residual Neural Networks with Conditional Injector and Interpolator for Point Cloud Upsampling
SLViT: Scale-Wise Language-Guided Vision Transformer for Referring Image Segmentation
Answer Mining from a Pool of Images: Towards Retrieval-Based Visual Question Answering
ViT-P3DE∗: Vision Transformer Based Multi-Camera Instance Association with Pseudo 3D Position Embeddings
Shaken, and Stirred: Long-Range Dependencies Enable Robust Outlier Detection with PixelCNN++
Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach
A Dual Semantic-Aware Recurrent Global-Adaptive Network for Vision-and-Language Navigation
Align, Perturb and Decouple: Toward Better Leverage of Difference Information for RSI Change Detection
Dual-view Correlation Hybrid Attention Network for Robust Holistic Mammogram Classification
From Generation to Suppression: Towards Effective Irregular Glow Removal for Nighttime Visibility Enhancement
3D Surface Super-resolution from Enhanced 2D Normal Images: A Multimodal-driven Variational AutoEncoder Approach
Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification
RuleMatch: Matching Abstract Rules for Semi-supervised Learning of Human Standard Intelligence Tests
Prompt Learns Prompt: Exploring Knowledge-Aware Generative Prompt Collaboration For Video Captioning
Action Recognition with Multi-stream Motion Modeling and Mutual Information Maximization
Actor-Multi-Scale Context Bidirectional Higher Order Interactive Relation Network for Spatial-Temporal Action Localization
DenseDINO: Boosting Dense Self-Supervised Learning with Token-Based Point-Level Consistency
Linguistic More: Taking a Further Step toward Efficient and Accurate Scene Text Recognition
Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose
FGNet: Towards Filling the Intra-class and Inter-class Gaps for Few-shot Segmentation
STS-GAN: Can We Synthesize Solid Texture with High Fidelity from Arbitrary 2D Exemplar?
A Solution to Co-occurence Bias: Attributes Disentanglement via Mutual Information Minimization for Pedestrian Attribute Recognition
Efficient Multi-View Inverse Rendering Using a Hybrid Differentiable Rendering Method
Constraint Satisfaction and Optimization
Faster Exact MPE and Constrained Optimization with Deterministic Finite State Automata
Improved Algorithms for Allen's Interval Algebra by Dynamic Programming with Sublinear Partitioning
New Bounds and Constraint Programming Models for the Weighted Vertex Coloring Problem
A New Variable Ordering for In-processing Bounded Variable Elimination in SAT Solvers
Solving Quantum-Inspired Perfect Matching Problems via Tutte-Theorem-Based Hybrid Boolean Constraints
Data Mining
SMARTformer: Semi-Autoregressive Transformer with Efficient Integrated Window Attention for Long Time Series Forecasting
Federated Probabilistic Preference Distribution Modelling with Compactness Co-Clustering for Privacy-Preserving Multi-Domain Recommendation
Capturing the Long-Distance Dependency in the Control Flow Graph via Structural-Guided Attention for Bug Localization
Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention
A Canonicalization-Enhanced Known Fact-Aware Framework For Open Knowledge Graph Link Prediction
KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification
Basket Representation Learning by Hypergraph Convolution on Repeated Items for Next-basket Recommendation
Towards an Integrated View of Semantic Annotation for POIs with Spatial and Textual Information
Minimally Supervised Contextual Inference from Human Mobility: An Iterative Collaborative Distillation Framework
Towards Hierarchical Policy Learning for Conversational Recommendation with Hypergraph-based Reinforcement Learning
Online Harmonizing Gradient Descent for Imbalanced Data Streams One-Pass Classification
Game Theory and Economic Paradigms
Non-Obvious Manipulability in Extensive-Form Mechanisms: The Revelation Principle for Single-Parameter Agents
Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation
Complexity of Efficient Outcomes in Binary-Action Polymatrix Games and Implications for Coordination Problems
Revenue Maximization Mechanisms for an Uninformed Mediator with Communication Abilities
Finding Mixed-Strategy Equilibria of Continuous-Action Games without Gradients Using Randomized Policy Networks
Ordinal Hedonic Seat Arrangement under Restricted Preference Domains: Swap Stability and Popularity
Humans and AI
Towards Collaborative Plan Acquisition through Theory of Mind Modeling in Situated Dialogue
TDG4Crowd:Test Data Generation for Evaluation of Aggregation Algorithms in Crowdsourcing
Enhancing Efficient Continual Learning with Dynamic Structure Development of Spiking Neural Networks
Strategic Adversarial Attacks in AI-assisted Decision Making to Reduce Human Trust and Reliance
Learning Heuristically-Selected and Neurally-Guided Feature for Age Group Recognition Using Unconstrained Smartphone Interaction
The Effects of AI Biases and Explanations on Human Decision Fairness: A Case Study of Bidding in Rental Housing Markets
Knowledge Representation and Reasoning
REPLACE: A Logical Framework for Combining Collective Entity Resolution and Repairing
Automatic Verification for Soundness of Bounded QNP Abstractions for Generalized Planning
An Ensemble Approach for Automated Theorem Proving Based on Efficient Name Invariant Graph Neural Representations
Machine Learning
GIDnets: Generative Neural Networks for Solving Inverse Design Problems via Latent Space Exploration
CROP: Towards Distributional-Shift Robust Reinforcement Learning Using Compact Reshaped Observation Processing
ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks
A Novel Demand Response Model and Method for Peak Reduction in Smart Grids -- PowerTAC
Ensemble Reinforcement Learning in Continuous Spaces -- A Hierarchical Multi-Step Approach for Policy Training
Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data
FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning
LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity
Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Rényi's Entropy Perspective
A Logic-based Approach to Contrastive Explainability for Neurosymbolic Visual Question Answering
Self-Recover: Forecasting Block Maxima in Time Series from Predictors with Disparate Temporal Coverage Using Self-Supervised Learning
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation
Generalization Guarantees of Self-Training of Halfspaces under Label Noise Corruption
DiffAR: Adaptive Conditional Diffusion Model for Temporal-augmented Human Activity Recognition
Musical Voice Separation as Link Prediction: Modeling a Musical Perception Task as a Multi-Trajectory Tracking Problem
SeRO: Self-Supervised Reinforcement Learning for Recovery from Out-of-Distribution Situations
MultiPar-T: Multiparty-Transformer for Capturing Contingent Behaviors in Group Conversations
Teacher Assistant-Based Knowledge Distillation Extracting Multi-level Features on Single Channel Sleep EEG
HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning
FedET: A Communication-Efficient Federated Class-Incremental Learning Framework Based on Enhanced Transformer
Label Specific Multi-Semantics Metric Learning for Multi-Label Classification: Global Consideration Helps
Social Motivation for Modelling Other Agents under Partial Observability in Decentralised Training
Mitigating Disparity while Maximizing Reward: Tight Anytime Guarantee for Improving Bandits
Linear Query Approximation Algorithms for Non-monotone Submodular Maximization under Knapsack Constraint
Sample Efficient Model-free Reinforcement Learning from LTL Specifications with Optimality Guarantees
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation
Guide to Control: Offline Hierarchical Reinforcement Learning Using Subgoal Generation for Long-Horizon and Sparse-Reward Tasks
Handling Learnwares Developed from Heterogeneous Feature Spaces without Auxiliary Data
Competitive-Cooperative Multi-Agent Reinforcement Learning for Auction-based Federated Learning
One Model, Any CSP: Graph Neural Networks as Fast Global Search Heuristics for Constraint Satisfaction
DEIR: Efficient and Robust Exploration through Discriminative-Model-Based Episodic Intrinsic Rewards
DeLELSTM: Decomposition-based Linear Explainable LSTM to Capture Instantaneous and Long-term Effects in Time Series
From Association to Generation: Text-only Captioning by Unsupervised Cross-modal Mapping
Multi-objective Optimization-based Selection for Quality-Diversity by Non-surrounded-dominated Sorting
c-TPE: Tree-structured Parzen Estimator with Inequality Constraints for Expensive Hyperparameter Optimization
Speeding Up Multi-Objective Hyperparameter Optimization by Task Similarity-Based Meta-Learning for the Tree-Structured Parzen Estimator
Not Only Pairwise Relationships: Fine-Grained Relational Modeling for Multivariate Time Series Forecasting
FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity
Singularformer: Learning to Decompose Self-Attention to Linearize the Complexity of Transformer
Violin: Virtual Overbridge Linking for Enhancing Semi-supervised Learning on Graphs with Limited Labels
Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data
BARA: Efficient Incentive Mechanism with Online Reward Budget Allocation in Cross-Silo Federated Learning
Generalized Discriminative Deep Non-Negative Matrix Factorization Based on Latent Feature and Basis Learning
Adversarial Amendment is the Only Force Capable of Transforming an Enemy into a Friend
CLE-ViT: Contrastive Learning Encoded Transformer for Ultra-Fine-Grained Visual Categorization
Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning
SSML-QNet: Scale-Separative Metric Learning Quadruplet Network for Multi-modal Image Patch Matching
Adaptive Reward Shifting Based on Behavior Proximity for Offline Reinforcement Learning
DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning
Towards Long-delayed Sparsity: Learning a Better Transformer through Reward Redistribution
Multidisciplinary Topics and Applications
A Noisy-Label-Learning Formulation for Immune Repertoire Classification and Disease-Associated Immune Receptor Sequence Identification
Pseudo-Labeling Enhanced by Privileged Information and Its Application to In Situ Sequencing Images
Voice Guard: Protecting Voice Privacy with Strong and Imperceptible Adversarial Perturbation in the Time Domain
GLPocket: A Multi-Scale Representation Learning Approach for Protein Binding Site Prediction
Multi-view Contrastive Learning Hypergraph Neural Network for Drug-Microbe-Disease Association Prediction
Robust Steganography without Embedding Based on Secure Container Synthesis and Iterative Message Recovery
Toward Convex Manifolds: A Geometric Perspective for Deep Graph Clustering of Single-cell RNA-seq Data
JEPOO: Highly Accurate Joint Estimation of Pitch, Onset and Offset for Music Information Retrieval
HireVAE: An Online and Adaptive Factor Model Based on Hierarchical and Regime-Switch VAE
VecoCare: Visit Sequences-Clinical Notes Joint Learning for Diagnosis Prediction in Healthcare Data
InitLight: Initial Model Generation for Traffic Signal Control Using Adversarial Inverse Reinforcement Learning
SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient and Generalizable Protein–Protein Interaction Prediction
Natural Language Processing
Keep Skills in Mind: Understanding and Implementing Skills in Commonsense Question Answering
An Effective and Efficient Time-aware Entity Alignment Framework via Two-aspect Three-view Label Propagation
Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation
KEST: Kernel Distance Based Efficient Self-Training for Improving Controllable Text Generation
Regularisation for Efficient Softmax Parameter Generation in Low-Resource Text Classifiers
SmartBERT: A Promotion of Dynamic Early Exiting Mechanism for Accelerating BERT Inference
Cross-Modal Global Interaction and Local Alignment for Audio-Visual Speech Recognition
Towards Lossless Head Pruning through Automatic Peer Distillation for Language Models
iRe2f: Rethinking Effective Refinement in Language Structure Prediction via Efficient Iterative Retrospecting and Reasoning
PPAT: Progressive Graph Pairwise Attention Network for Event Causality Identification
Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification
ODEE: A One-Stage Object Detection Framework for Overlapping and Nested Event Extraction
Learning to Speak from Text: Zero-Shot Multilingual Text-to-Speech with Unsupervised Text Pretraining
Fine-tuned vs. Prompt-tuned Supervised Representations: Which Better Account for Brain Language Representations?
PasCore: A Chinese Overlapping Relation Extraction Model Based on Global Pointer Annotation Strategy
Beyond Pure Text: Summarizing Financial Reports Based on Both Textual and Tabular Data
Efficient Sign Language Translation with a Curriculum-based Non-autoregressive Decoder
Fast-StrucTexT: An Efficient Hourglass Transformer with Modality-guided Dynamic Token Merge for Document Understanding
Exploring Effective Inter-Encoder Semantic Interaction for Document-Level Relation Extraction
Learning Few-shot Sample-set Operations for Noisy Multi-label Aspect Category Detection
Planning and Scheduling
On the Study of Curriculum Learning for Inferring Dispatching Policies on the Job Shop Scheduling
Simulation-Assisted Optimization for Large-Scale Evacuation Planning with Congestion-Dependent Delays
Robotics
Learning to Self-Reconfigure for Freeform Modular Robots via Altruism Proximal Policy Optimization
Search
Stochastic Population Update Can Provably Be Helpful in Multi-Objective Evolutionary Algorithms
The First Proven Performance Guarantees for the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) on a Combinatorial Optimization Problem
Diverse Approximations for Monotone Submodular Maximization Problems with a Matroid Constraint
Exploring Structural Similarity in Fitness Landscapes via Graph Data Mining: A Case Study on Number Partitioning Problems
Front-to-End Bidirectional Heuristic Search with Consistent Heuristics: Enumerating and Evaluating Algorithms and Bounds
Uncertainty in AI
Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences
AI and Arts
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition
The ACCompanion: Combining Reactivity, Robustness, and Musical Expressivity in an Automatic Piano Accompanist
Towards Symbiotic Creativity: A Methodological Approach to Compare Human and AI Robotic Dance Creations
DiffuseStyleGesture: Stylized Audio-Driven Co-Speech Gesture Generation with Diffusion Models
NAS-FM: Neural Architecture Search for Tunable and Interpretable Sound Synthesis Based on Frequency Modulation
AI for Good
Fairness and Representation in Satellite-Based Poverty Maps: Evidence of Urban-Rural Disparities and Their Impacts on Downstream Policy
Forecasting Soil Moisture Using Domain Inspired Temporal Graph Convolution Neural Networks To Guide Sustainable Crop Management
Supporting Sustainable Agroecological Initiatives for Small Farmers through Constraint Programming
Addressing Weak Decision Boundaries in Image Classification by Leveraging Web Search and Generative Models
Limited Resource Allocation in a Non-Markovian World: The Case of Maternal and Child Healthcare
Disentangling Societal Inequality from Model Biases: Gender Inequality in Divorce Court Proceedings
Find Rhinos without Finding Rhinos: Active Learning with Multimodal Imagery of South African Rhino Habitats
For Women, Life, Freedom: A Participatory AI-Based Social Web Analysis of a Watershed Moment in Iran's Gender Struggles
Building a Personalized Messaging System for Health Intervention in Underprivileged Regions Using Reinforcement Learning
Confidence-based Self-Corrective Learning: An Application in Height Estimation Using Satellite LiDAR and Imagery
Preventing Attacks in Interbank Credit Rating with Selective-aware Graph Neural Network
Customized Positional Encoding to Combine Static and Time-varying Data in Robust Representation Learning for Crop Yield Prediction
GreenFlow: A Computation Allocation Framework for Building Environmentally Sound Recommendation System
Coupled Point Process-based Sequence Modeling for Privacy-preserving Network Alignment
Fighting against Organized Fraudsters Using Risk Diffusion-based Parallel Graph Neural Network
Temporally Aligning Long Audio Interviews with Questions: A Case Study in Multimodal Data Integration
Time Series of Satellite Imagery Improve Deep Learning Estimates of Neighborhood-Level Poverty in Africa
Balancing Social Impact, Opportunities, and Ethical Constraints of Using AI in the Documentation and Vitalization of Indigenous Languages
PARTNER: A Persuasive Mental Health and Legal Counselling Dialogue System for Women and Children Crime Victims
Function Approximation for Reinforcement Learning Controller for Energy from Spread Waves
Leveraging Domain Knowledge for Inclusive and Bias-aware Humanitarian Response Entry Classification
Keeping People Active and Healthy at Home Using a Reinforcement Learning-based Fitness Recommendation Framework
A Quantitative Game-theoretical Study on Externalities of Long-lasting Humanitarian Relief Operations in Conflict Areas
GreenPLM: Cross-Lingual Transfer of Monolingual Pre-Trained Language Models at Almost No Cost
Mimicking the Thinking Process for Emotion Recognition in Conversation with Prompts and Paraphrasing
On Optimizing Model Generality in AI-based Disaster Damage Assessment: A Subjective Logic-driven Crowd-AI Hybrid Learning Approach
AI for Good - Projects
Learning and Reasoning Multifaceted and Longitudinal Data for Poverty Estimates and Livelihood Capabilities of Lagged Regions in Rural India
Sister Conferences Best Papers
Half-Positional Objectives Recognized by Deterministic Büchi Automata (Extended Abstract)
Online Certification of Preference-Based Fairness for Personalized Recommender Systems (Extended Abstract)
Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways (Extended Abstract)
MV-Datalog+/-: Effective Rule-based Reasoning with Uncertain Observations (Extended Abstract)
Finite-Trace Analysis of Stochastic Systems with Silent Transitions (Extended Abstract)
FastGR: Global Routing on CPU-GPU with Heterogeneous Task Graph Scheduler (Extended Abstract)
Algorithm-Hardware Co-Design for Efficient Brain-Inspired Hyperdimensional Learning on Edge (Extended Abstract)
Sancus: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks (Extended Abstract)
Bounding the Family-Wise Error Rate in Local Causal Discovery Using Rademacher Averages (Extended Abstract)
Efficient Global Robustness Certification of Neural Networks via Interleaving Twin-Network Encoding (Extended Abstract)
Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval (Extended Abstract)
Survey Track
Good Explanations in Explainable Artificial Intelligence (XAI): Evidence from Human Explanatory Reasoning
Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs
A Survey on Intersectional Fairness in Machine Learning: Notions, Mitigation, and Challenges
Towards Utilitarian Online Learning -- A Review of Online Algorithms in Open Feature Space
A Unified View of Deep Learning for Reaction and Retrosynthesis Prediction: Current Status and Future Challenges
Complexity Results and Exact Algorithms for Fair Division of Indivisible Items: A Survey
What Lies beyond the Pareto Front? A Survey on Decision-Support Methods for Multi-Objective Optimization
Uncovering the Deceptions: An Analysis on Audio Spoofing Detection and Future Prospects
Heuristic-Search Approaches for the Multi-Objective Shortest-Path Problem: Progress and Research Opportunities
Journal Track
Conjure: Automatic Generation of Constraint Models from Problem Specifications (Extended Abstract)
Survey and Evaluation of Causal Discovery Methods for Time Series (Extended Abstract)
Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features (Extended Abstract)
Constraint Solving Approaches to the Business-to-Business Meeting Scheduling Problem (Extended Abstract)
SAT Encodings for Pseudo-Boolean Constraints Together With At-Most-One Constraints (Extended Abstract)
SAMBA: A Generic Framework for Secure Federated Multi-Armed Bandits (Extended Abstract)
Interpretable Local Concept-based Explanation with Human Feedback to Predict All-cause Mortality (Extended Abstract)
Creative Problem Solving in Artificially Intelligent Agents: A Survey and Framework (Extended Abstract)
Get Out of the BAG! Silos in AI Ethics Education: Unsupervised Topic Modeling Analysis of Global AI Curricula (Extended Abstract)
Gradient-Based Mixed Planning with Symbolic and Numeric Action Parameters (Extended Abstract)
Rethinking Formal Models of Partially Observable Multiagent Decision Making (Extended Abstract)
Mean-Semivariance Policy Optimization via Risk-Averse Reinforcement Learning (Extended Abstract)
A Computational Model of Ostrom's Institutional Analysis and Development Framework (Extended Abstract)
Automatic Recognition of the General-Purpose Communicative Functions Defined by the ISO 24617-2 Standard for Dialog Act Annotation (Extended Abstract)
Q-Learning-Based Model Predictive Variable Impedance Control for Physical Human-Robot Collaboration (Extended Abstract)
Motion Planning Under Uncertainty with Complex Agents and Environments via Hybrid Search (Extended Abstract)
Ethical By Designer - How to Grow Ethical Designers of Artificial Intelligence (Extended Abstract)
A Logic-based Explanation Generation Framework for Classical and Hybrid Planning Problems (Extended Abstract)
Reinforcement Learning from Optimization Proxy for Ride-Hailing Vehicle Relocation (Extended Abstract)
Unsupervised and Few-Shot Parsing from Pretrained Language Models (Extended Abstract)
Early Career
Doctoral Consortium
On Building a Semi-Automated Framework for Generating Causal Bayesian Networks from Raw Text
Demo Track
Latent Inspector: An Interactive Tool for Probing Neural Network Behaviors Through Arbitrary Latent Activation
Understanding the Night-Sky? Developing AI-Enabled System for Exploring Night-Light Usage Patterns
SupervisorBot: NLP-Annotated Real-Time Recommendations of Psychotherapy Treatment Strategies with Deep Reinforcement Learning
Fedstellar: A Platform for Training Models in a Privacy-preserving and Decentralized Fashion
Matting Moments: A Unified Data-Driven Matting Engine for Mobile AIGC in Photo Gallery
Late Papers
Rubik's Optical Neural Networks: Multi-task Learning with Physics-aware Rotation Architecture