
ECAI 2023
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This book presents the proceedings of ECAI 2023, the 26th European Conference on Artificial Intelligence, and of PAIS 2023, the 12th Conference on Prestigious Applications of Intelligent Systems, held from 30 September to 4 October 2023 and on 3 October 2023 respectively in Krakow, Poland. Since 1974, ECAI has been the premier venue for presenting AI research in Europe, and this annual conference has become the place for researchers and practitioners of AI to discuss the latest trends and challenges in all subfields of AI, and to demonstrate innovative applications and uses of advanced AI technology. ECAI 2023 received 1896 submissions - a record number - of which 1691 were retained for review, ultimately resulting in an acceptance rate of 23%. The 390 papers included here, cover topics including machine learning, natural language processing, multi agent systems, and vision and knowledge representation and reasoning. PAIS 2023 received 17 submissions, of which 10 were accepted after a rigorous review process. Those 10 papers cover topics ranging from fostering better working environments, behavior modeling and citizen science to large language models and neuro-symbolic applications, and are also included here.
Presenting a comprehensive overview of current research and developments in AI, the book will be of interest to all those working in the field.
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Content
- Intro
- Title Page
- Preface
- Message from the Conference Organizers
- Conference Organization
- Sponsorship and Support
- Reviewers
- PAIS 2023 Foreword
- PAIS 2023 Programme Committee
- Contents
- ECAI Papers
- Learning Task Automata for Reinforcement Learning Using Hidden Markov Models
- On the Effectiveness of Compact Strategies for Opinion Diffusion in Social Environments
- Hierarchical Text Classification Using Contrastive Learning Informed Path Guided Hierarchy
- Reconciling SHACL and Ontologies: Semantics and Validation via Rewriting
- Towards a Neuronally Consistent Ontology for Robotic Agents
- Action-Failure Resilient Planning
- Fair Rent Division on a Budget Revisited
- TrojBits: A Hardware Aware Inference-Time Attack on Transformer-Based Language Models
- A Siamese Based System for City Verification
- Complexity of Verification and Existence Problems in Epistemic Argumentation Framework
- Robust Federated Learning Method Against Data and Model Poisoning Attacks with Heterogeneous Data Distribution
- Causally Disentangled Generative Variational AutoEncoder
- CAFIN: Centrality Aware Fairness Inducing IN-Processing for Unsupervised Representation Learning on Graphs
- Long-Tail Theory Under Gaussian Mixtures
- On Contrastive Explanations for Tree-Based Classifiers
- On the Manipulability of Maximum Vertex-Weighted Bipartite b-Matching Mechanisms
- A Bilevel Formalism for the Peer-Reviewing Problem
- Reachability Poorman Discrete-Bidding Games
- SpArX: Sparse Argumentative Explanations for Neural Networks
- From Intermediate Representations to Explanations: Exploring Hierarchical Structures in NLP
- Investigating Neural Fit Approaches for Sentence Embedding Model Paradigms
- Partial Compilation of SAT Using Selective Backbones
- Cost-Awareness in Multi-Agent Active Search
- No Agreement Without Loss: Learning and Social Choice in Peer Review
- Cooperative Thresholded Lasso for Sparse Linear Bandit
- Representing and Reasoning with Multi-Stakeholder Qualitative Preference Queries
- Resource-constrained knowledge diffusion processes inspired by human peer learning
- Neural Network-Based Rule Models with Truth Tables
- Diverse, Top-k, and Top-Quality Planning Over Simulators
- Pareto Rank-Preserving Supernetwork for Hardware-Aware Neural Architecture Search
- On the Structural Complexity of Grounding - Tackling the ASP Grounding Bottleneck via Epistemic Programs and Treewidth
- Enhancing Hybrid CP-SAT Search for Disjunctive Scheduling
- Expediting Self-Play Learning in AlphaZero-Style Game-Playing Agents
- Representative Answer Sets: Collecting Something of Everything
- FOND Planning for Pure-Past Linear Temporal Logic Goals
- Leveraging Error Patterns to Correct Prediction Intervals
- On Sustainable Ride Pooling Through Conditional Expected Value Decomposition
- High-Multiplicity Fair Allocation Using Parametric Integer Linear Programming
- Efficiently Computing Smallest Agreeable Sets
- A Semantic Approach to Decidability in Epistemic Planning
- Credal Learning: Weakly Supervised Learning from Credal Sets
- Enhancing OOD Generalization in Offline Reinforcement Learning with Energy-Based Policy Optimization
- A Flexible Debiasing Framework for Fair Heterogeneous Information Network Embedding
- Theoretical Remarks on Feudal Hierarchies and Reinforcement Learning
- Expert-Free Online Transfer Learning in Multi-Agent Reinforcement Learning
- Obstruction Logic: A Strategic Temporal Logic to Reason About Dynamic Game Models
- Cache-Efficient Dynamic Programming MDP Solver
- Shrink-Perturb Improves Architecture Mixing During Population Based Training for Neural Architecture Search
- Evaluating Explanation Methods for Vision-and-Language Navigation
- Efficient Algorithms for Monroe and CC Rules in Multi-Winner Elections with (Nearly) Structured Preferences
- Dual-Scale Interest Extraction Framework with Self-Supervision for Sequential Recommendation
- Selective Learning for Sample-Efficient Training in Multi-Agent Sparse Reward Tasks
- Learning Dual Mean Field Games on Graphs
- FASTC: A Fast Attentional Framework for Semantic Traversability Classification Using Point Cloud
- Region-Aware Dynamic Filtering Network for 3D Hand Reconstruction
- Diffusion Model for Camouflaged Object Detection
- PARIS: Planning Algorithms for Reconfiguring Independent Sets
- Deep Reinforcement Learning with Implicit Imitation for Lane-Free Autonomous Driving
- Abductive Explanations of Classifiers Under Constraints: Complexity and Properties
- Counterfactual Reasoning for Bias Evaluation and Detection in a Fairness Under Unawareness Setting
- Rectifying Binary Classifiers
- Rank-Envy-Freeness in Roommate Matchings
- Learning Logic Programs by Combining Programs
- TAOTF: A Two-Stage Approximately Orthogonal Training Framework in Deep Neural Networks
- Worrisome Properties of Neural Network Controllers and Their Symbolic Representations
- Enhancing Document-Level Relation Extraction with Relation-Specific Entity Representation and Evidence Sentence Augmentation
- LTLf Best-Effort Synthesis in Nondeterministic Planning Domains
- Aggregating Correlated Estimations with (Almost) no Training
- PiercingEye: Identifying Both Faint and Distinct Clues for Explainable Fake News Detection with Progressive Dynamic Graph Mining
- Compilation of Tight ASP Programs
- Antecedent Predictions Are More Important Than You Think: An Effective Method for Tree-Based Code Generation
- Distributionally Robust Cross Subject EEG Decoding
- What Wikipedia Misses About Yuriko Nakamura? Predicting Missing Biography Content by Learning Latent Life Patterns
- Reinforcement Learning for Bandits with Continuous Actions and Large Context Spaces
- Heteroscedastic Causal Structure Learning
- Learning in Teams: Peer Evaluation for Fair Assessment of Individual Contributions
- Exploiting Epistemic Uncertainty at Inference Time for Early-Exit Power Saving
- Settling the Score: Portioning with Cardinal Preferences
- Data-Driven Self-Supervised Graph Representation Learning
- Algorithmic Recognition of 2-Euclidean Preferences
- Towards a Rigorous Calibration Assessment Framework: Advancements in Metrics, Methods, and Use
- A Novel Differentiable Rank Learning Method Towards Stock Movement Quantile Forecasting
- Identifying the Defective: Detecting Damaged Grains for Cereal Appearance Inspection
- On the Robustness of Split Learning Against Adversarial Attacks
- Multi-Unit Auction over a Social Network
- Incomplete Bipolar Argumentation Frameworks
- Structured Sparse Multi-Task Learning with Generalized Group Lasso
- On Solution Discovery via Reconfiguration
- Optimal Alignment of Temporal Knowledge Bases
- Failure Handling in BDI Plans via Runtime Enforcement
- SENA: Similarity-Based Error-Checking of Neural Activations
- Using Weighted Matching to Solve 2-Approval/Veto Control and Bribery
- Generalizing Similarity in Noisy Setups: The DIBS Phenomenon
- Scaling-Up LAO* in FOND Planning: An Ablation Study
- Revision Transformers: Instructing Language Models to Change Their Values
- Double Logistic Regression Approach to Biased Positive-Unlabeled Data
- OER: Offline Experience Replay for Continual Offline Reinforcement Learning
- Strategy Repair in Reachability Games
- Iterative Reward Shaping Using Human Feedback for Correcting Reward Misspecification
- EFx Budget-Feasible Allocations with High Nash Welfare
- Towards Trustworthy NLP: An Adversarial Robustness Enhancement Based on Perplexity Difference
- Decidable Fragments of LTLf Modulo Theories
- Feasible Action-Space Reduction as a Metric of Causal Responsibility in Multi-Agent Spatial Interactions
- Evolutionary Explainable Rule Extraction from (Modal) Random Forests
- A Hybrid Approach to Preference Learning with Interaction Terms
- Conditionally Acyclic CO-Networks for Efficient Preferential Optimization
- A Semantics-Driven Methodology for High-Quality Image Annotation
- RHALE: Robust and Heterogeneity-Aware Accumulated Local Effects
- Dynamic Causality
- Do Not Trust Me: Explainability Against Text Classification
- Approximate Model-Based Shielding for Safe Reinforcement Learning
- Effective and Efficient Community Search with Graph Embeddings
- Pretraining the Vision Transformer Using Self-Supervised Methods for Vision Based Deep Reinforcement Learning
- Declarative Encoding of Fairness in Logic Tensor Networks
- Generosity and the Emergence of Forgiveness in the Donation Game
- On the Notion of Envy Among Groups of Agents in House Allocation Problems
- XGBD: Explanation-Guided Graph Backdoor Detection
- Mitigating Long-Tail Language Representation Collapsing via Cross-Lingual Bootstrapped Unsupervised Fine-Tuning
- Is Performance Fairness Achievable in Presence of Attackers Under Federated Learning?
- Take Expert Advice Judiciously: Combining Groupwise Calibrated Model Probabilities with Expert Predictions
- Bridging the Transparency Gap: What Can Explainable AI Learn from the AI Act?
- Omega-Regular Reward Machines
- Exploring the Feasibility of Physical Adversarial Attacks: A Cybersecurity Study
- Evolving Dictionary Representation for Few-Shot Class-Incremental Learning
- Leximin Approximation: From Single-Objective to Multi-Objective
- Dimensions of Similarity: Towards Interpretable Dimension-Based Text Similarity
- Group Activity Recognition in Basketball Tracking Data - Neural Embeddings in Team Sports (NETS)
- GraphSA: Smart Contract Vulnerability Detection Combining Graph Neural Networks and Static Analysis
- Multi-Domain Learning from Insufficient Annotations
- Preserving Semantics in Textual Adversarial Attacks
- Sensitivity Analysis for Saturated Post-Hoc Optimization in Classical Planning
- Gaifman Graphs in Lifted Planning
- LoSS: Local Structural Separation Hypergraph Convolutional Neural Network
- Reinforcement Learning with Reward Machines in Stochastic Games
- Reasoning Guided by a Manual: Context-Aware Image Captioning with Novel Objects
- DTBS: Dual-Teacher Bi-Directional Self-Training for Domain Adaptation in Nighttime Semantic Segmentation
- Combating Short Circuit Behavior in Natural Language Reasoning: Crossover and Mutation Operations for Enhanced Robustness
- From Decision Trees to Explained Decision Sets
- Diversified Prior Knowledge Enhanced General Language Model for Biomedical Information Retrieval
- Exploration and Exploitation in Hierarchical Reinforcement Learning with Adaptive Scheduling
- Oracle-Based Local Search for Pseudo-Boolean Optimization
- T-VAKS: A Tutoring-Based Multimodal Dialog System via Knowledge Selection
- Multi-Modal Fusion with Semantic Supervision for Radiology Report Generation
- Offline Decentralized Multi-Agent Reinforcement Learning
- Transferring Procedural Knowledge Across Commonsense Tasks
- Grouped Multi-Task Learning with Hidden Tasks Enhancement
- FedPerturb: Covert Poisoning Attack on Federated Learning via Partial Perturbation
- SMT-Based Satisfiability Checking of Strategic Metric Temporal Logic
- Complexity of Control by Adding or Deleting Edges in Graph-Restricted Weighted Voting Games
- The Leximin Approach for a Sequence of Collective Decisions
- Robust Assignment of Labels for Active Learning with Sparse and Noisy Annotations
- Automatic Parallel Portfolio Selection
- Answer Set Automata: A Learnable Pattern Specification Framework for Complex Event Recognition
- Reducing Oversmoothing in Graph Neural Networks by Changing the Activation Function
- On Explaining Agent Behaviour via Root Cause Analysis: A Formal Account Grounded in Theory of Mind
- Understanding and Improving Neural Active Learning on Heteroskedastic Distributions
- Counterfactual Prediction Under Selective Confounding
- Gated Adapters for Multi-Domain Neural Machine Translation
- Cartesian Abstractions and Saturated Cost Partitioning in Probabilistic Planning
- ALFR++: A Novel Algorithm for Learning Adversarial Fair Representations
- Approximate Data Deletion in Generative Models
- Satisfaction-Maximizing Optimal Stopping
- Extracting and Exploiting Bounds of Numeric Variables for Optimal Linear Numeric Planning
- Towards Flexible Time-to-Event Modeling: Optimizing Neural Networks via Rank Regression
- Language Models as Controlled Natural Language Semantic Parsers for Knowledge Graph Question Answering
- Self-Expressive Network-Based Subspace Clustering for Deep Embedding
- S2M: Converting Single-Turn to Multi-Turn Datasets for Conversational Question Answering
- Mechanism Design for Ad Auctions with Display Prices
- Theoretically Guaranteed Policy Improvement Distilled from Model-Based Planning
- Spectral Normalized-Cut Graph Partitioning with Fairness Constraints
- ESSL: Enhanced Spatio-Temporal Self-Selective Learning Framework for Unsupervised Video Anomaly Detection
- High Probability Analysis for Non-Convex Stochastic Optimization with Clipping
- BEDCOE: Borderline Enhanced Disjunct Cluster Based Oversampling Ensemble for Online Multi-Class Imbalance Learning
- Integrated Private Data Trading Systems for Data Marketplaces
- Unsupervised Graph Structure-Assisted Personalized Federated Learning
- DeepDiscord: Dual Contrastive Coding for Transferable Time Series Anomaly Detection
- Neural Architecture Search for Explainable Networks
- BMIPN: A Biased Multi-Granularity Interaction Prototype Network for Few-Shot Relation Extraction
- A Model-Theoretic Approach to Belief Revision in Multi-Agent Belief Logic and Its Syntactic Characterizations
- FBC: Fusing Bi-Encoder and Cross-Encoder for Long-Form Text Matching
- Model-Based Reinforcement Learning with Multi-Step Plan Value Estimation
- Accelerating SAT-Based HTN Plan Verification by Exploiting Data Structures from HTN Planning
- Verifying Belief-Based Programs via Symbolic Dynamic Programming
- Diffusion Multi-Unit Auctions with Diminishing Marginal Utility Buyers
- Label Aggregation with Self-Supervision Enhanced Graph Transformer
- POINE2: Improving Poincare Embeddings for Hierarchy-Aware Complex Query Reasoning over Knowledge Graphs
- Multilingual Lexical Simplification via Paraphrase Generation
- QCCDM: A Q-Augmented Causal Cognitive Diagnosis Model for Student Learning
- Efficient Information Modulation Network for Image Super-Resolution
- Aspect-Oriented Opinion Alignment Network for Aspect-Based Sentiment Classification
- A Dynamic Selective Parameter Sharing Mechanism Embedded with Multi-Level Reasoning Abstractions
- Comment-Aware Multi-Modal Heterogeneous Pre-Training for Humor Detection in Short-Form Videos
- Epistemic JAADL: A Modal Logic for Joint Abilities with Imperfect Information
- Revisiting Graph Contrastive Learning for Anomaly Detection
- Uncertainty-Encoded Multi-Modal Fusion for Robust Object Detection in Autonomous Driving
- Online Algorithms for Matchings with Proportional Fairness Constraints and Diversity Constraints
- Degradation-Resistant Offline Optimization via Accumulative Risk Control
- Multi-Agent Cooperative Games Using Belief Map Assisted Training
- Decentralized Local Updates with Dual-Slow Estimation and Momentum-Based Variance-Reduction for Non-Convex Optimization
- Dynamic Graph Convolutional Network with Attention Fusion for Traffic Flow Prediction
- Dynamic Workload-Aware Bike Rebalancing for Bike-Sharing Systems
- R-STAR: Robust Self-Taught Task-Wise Reweighting for Rehearsal-Based Class Incremental Learning
- Semantic-Aware Dual Contrastive Learning for Multi-Label Image Classification
- Letting Go of Self-Domain Awareness: Multi-Source Domain-Adversarial Generalization via Dynamic Domain-Weighted Contrastive Transfer Learning
- MFC: A Multishot Approach to Federated Data Clustering
- Improving Bi-Objective Shortest Path Search with Early Pruning
- FATRER: Full-Attention Topic Regularizer for Accurate and Robust Conversational Emotion Recognition
- Adversarial Benchmark Evaluation Rectified by Controlling for Difficulty
- A Bayesian Optimization Framework for Finding Local Optima in Expensive Multimodal Functions
- H2T-FAST: Head-to-Tail Feature Augmentation by Style Transfer for Long-Tailed Recognition
- One-Class Classification Approach to Variational Learning from Biased Positive Unlabeled Data
- A Local Non-Additive Framework for Explaining Black-Box Predictive Models
- Multi-Source Domain Adaptation Through Dataset Dictionary Learning in Wasserstein Space
- Graph-Based Abstractive Summarization of Extracted Essential Knowledge for Low-Resource Scenarios
- On Observability Analysis in Multiagent Systems
- Blame Attribution for Multi-Agent Path Finding Execution Failures
- Fast Pareto Optimization Using Sliding Window Selection
- MaxSAT-Based Inconsistency Measurement
- Piecewise-Stationary Combinatorial Semi-Bandit with Causally Related Rewards
- THUNDER: Named Entity Recognition Using a Teacher-Student Model with Dual Classifiers for Strong and Weak Supervisions
- Detecting Out-of-Distribution Objects Using Neuron Activation Patterns
- Graph Neural Networks for Mapping Variables Between Programs
- Using Earley Parser for Recognizing Totally Ordered Hierarchical Plans
- Transparency in Sum-Product Network Decompilation
- CompLung: Comprehensive Computer-Aided Diagnosis of Lung Cancer
- Story Ending Generation Using Commonsense Casual Reasoning and Graph Convolutional Networks
- Adversarial Discriminator to Mitigate Gender Bias in Abusive Language Detection
- Anticipating Responsibility in Multiagent Planning
- AlegAATr the Bandit
- Stock Movement Prediction via Attention-Aware Multi-Order Relation Graph Neural Network
- Ada-QPacknet - Multi-Task Forget-Free Continual Learning with Quantization Driven Adaptive Pruning
- Overlay Neural Networks for Heterophilous Graphs
- Generating Replanning Goals Through Multi-Objective Optimization in Response to Execution Observation
- Exploring Information Bottleneck for Weakly Supervised Semantic Segmentation
- Active Finetuning Protein Language Model: A Budget-Friendly Method for Directed Evolution
- The Problem of Coherence in Natural Language Explanations of Recommendations
- An Easy Rejection Sampling Baseline via Gradient Refined Proposals
- Fair Latent Deep Generative Models (FLDGMs) for Syntax-Agnostic and Fair Synthetic Data Generation
- Instance-Aware Diffusion Implicit Process for Box-Based Instance Segmentation
- Making Friends in the Dark: Ad Hoc Teamwork Under Partial Observability
- Specifying Prior Beliefs over DAGs in Deep Bayesian Causal Structure Learning
- Seq2Space: A Lightweight Solution for Sequence Modelling
- SUDS: Sanitizing Universal and Dependent Steganography
- How Should I Compute My Candidates? A Taxonomy and Classification of Diagnosis Computation Algorithms
- Disentangling Interaction Using Maximum Entropy Reinforcement Learning in Multi-Agent Systems
- GENEMASK: Fast Pretraining of Gene Sequences to Enable Few-Shot Learning
- Learning to Collaborate by Grouping: A Consensus-Oriented Strategy for Multi-Agent Reinforcement Learning
- Capsule Network with Label Dependency Modeling for Multi-Label Emotion Classification
- Causal Discovery and Knowledge Injection for Contestable Neural Networks
- Symbolic Knowledge-Extraction Evaluation Metrics: The FiRe Score
- Rationale-Guided Few-Shot Classification to Detect Abusive Language
- A Paraconsistency Framework for Inconsistency Handling in Qualitative Spatial and Temporal Reasoning
- Towards Feasible Counterfactual Explanations: A Taxonomy Guided Template-Based NLG Method
- Associative Memories in the Feature Space
- Stackelberg Attacks on Auctions and Blockchain Transaction Fee Mechanisms
- Synthesis of Procedural Models for Deterministic Transition Systems
- The Emotions of the Crowd: Learning Image Sentiment from Tweets via Cross-Modal Distillation
- Reinforcement Learning in RDPs by Combining Deep RL with Automata Learning
- Cognitive Effects in Large Language Models
- Truthful and Equitable Lateral Transshipment in Multi-Retailer Systems
- Balancing Fairness and Efficiency in 3D Repeated Matching in Ridesharing
- Uncertain Relational Hypergraph Attention Networks for Document-Level Event Factuality Identification
- Create and Find Flatness: Building Flat Training Spaces in Advance for Continual Learning
- Revisiting the Robustness of the Minimum Error Entropy Criterion: A Transfer Learning Case Study
- A Simple Debiasing Framework for Out-of-Distribution Detection in Human Action Recognition
- XFLT: Exploring Techniques for Generating Cross Lingual Factually Grounded Long Text
- Progression for Monitoring in Temporal ASP
- Minimum Target Sets in Non-Progressive Threshold Models: When Timing Matters
- Graduality in Probabilistic Argumentation Frameworks
- Lifted Successor Generation by Maximum Clique Enumeration
- Motivated Agent with Semantic Memory
- ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging
- GridFormer: Spatial-Temporal Transformer Network for Citywide Crowd Flow Prediction
- Unit Refutations of Difference Constraint Systems
- Adaptive Self-Supervision Algorithms for Physics-Informed Neural Networks
- On the Price of Fairness in the Connected Discrete Cake Cutting Problem
- Decoding Realistic Images from Brain Activity with Contrastive Self-Supervision and Latent Diffusion
- Tuning in to Neural Encoding: Linking Human Brain and Artificial Supervised Representations of Language
- SPAT: Semantic-Preserving Adversarial Transformation for Perceptually Similar Adversarial Examples
- BridgeHand2Vec Bridge Hand Representation
- Anytime Index-Based Search Method for Large-Scale Simultaneous Coalition Structure Generation and Assignment
- Unsupervised Zero-Shot Learning for Achieve Cross-Modal Alignment with Counterfactuals
- FedCoop: Cooperative Federated Learning for Noisy Labels
- User-Controllable Recommendation via Counterfactual Retrospective and Prospective Explanations
- Intractability of Optimal Multi-Agent Pathfinding on Directed Graphs
- Tab-Attention: Self-Attention-Based Stacked Generalization for Imbalanced Credit Default Prediction
- High Dynamic Range Image Reconstruction via Deep Explicit Polynomial Curve Estimation
- Improved Analysis of Greedy Algorithm on k-Submodular Knapsack
- NEHATE: Large-Scale Annotated Data Shedding Light on Hate Speech in Nepali Local Election Discourse
- Local context is not enough! Towards Query Semantic and Knowledge Guided Multi-Span Medical Question Answering
- Do Topic and Causal Consistency Affect Emotion Cognition? A Graph Interactive Network for Conversational Emotion Detection
- Joint Multiple Intent Detection and Slot Filling with Supervised Contrastive Learning and Self-Distillation
- Uniform Training and Marginal Decoding for Multi-Reference Question-Answer Generation
- SCRAPS: Speech Contrastive Representations of Acoustic and Phonetic Spaces
- On the Learning Dynamics of Attention Networks
- A Logic-Based Framework for Explainable Agent Scheduling Problems
- PLEASE: Generating Personalized Explanations in Human-Aware Planning
- Neuro-Symbolic Procedural Semantics for Reasoning-Intensive Visual Dialogue Tasks
- Automatic Radiology Report Generation by Learning with Increasingly Hard Negatives
- Finite Sample Guarantees of Differentially Private Expectation Maximization Algorithm
- An Empirical Study of Retrieval-Enhanced Graph Neural Networks
- Improving Visual Reinforcement Learning with Discrete Information Bottleneck Approach
- How Does Diffusion Influence Pretrained Language Models on Out-of-Distribution Data?
- VMBRL3: A Simple Visual Model-Based Reinforcement Learning Framework for Continuous Control
- BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel Optimization
- LFAA: Crafting Transferable Targeted Adversarial Examples with Low-Frequency Perturbations
- Towards Legal Judgment Summarization: A Structure-Enhanced Approach
- A Conditional Denoising Diffusion Probabilistic Model for Radio Interferometric Image Reconstruction
- MonoSKD: General Distillation Framework for Monocular 3D Object Detection via Spearman Correlation Coefficient
- Fair Few-Shot Learning with Auxiliary Sets
- Attention Based Models for Cell Type Classification on Single-Cell RNA-Seq Data
- GAN-Generated Faces Detection: A Survey and New Perspectives
- Investigating the Learning Behaviour of In-Context Learning: A Comparison with Supervised Learning
- Using Self-Supervised Dual Constraint Contrastive Learning for Cross-Modal Retrieval
- Multiplicative Sparse Tensor Factorization for Multi-View Multi-Task Learning
- SDV: Simple Double Validation Model-Based Offline Reinforcement Learning
- A Convolutional Neural Network Approach to General Game Playing
- Adversarial Erasing with Pruned Elements: Towards Better Graph Lottery Tickets
- WeaGAN: Weather-Aware Graph Attention Network for Traffic Prediction
- CCPO: Conservatively Constrained Policy Optimization Using State Augmentation
- A Generalization of the Shortest Path Problem to Graphs with Multiple Edge-Cost Estimates
- Normalized Stochastic Heavy Ball with Adaptive Momentum
- A Landmark-Cut Heuristic for Lifted Optimal Planning
- TreeFlow: Going Beyond Tree-Based Parametric Probabilistic Regression
- On the Variation of Max Regret with Respect to the Scaling of the Objectives
- Enforcing Natural Properties of Choice Functions, with Application for Combination
- Simplex Decomposition for Portfolio Allocation Constraints in Reinforcement Learning
- GenCo: An Auxiliary Generator from Contrastive Learning for Enhanced Few-Shot Learning in Remote Sensing
- Contrastive Learning with Diverse Samples
- Adaptive Self-Supervised Continual Learning
- Deep Ensemble Robustness by Adaptive Sampling in Dropout-Based Simultaneous Training
- Online Privacy Preservation for Camera-Incremental Person Re-Identification
- Enhancing Text Generation with Cooperative Training
- DPBERT: Efficient Inference for BERT Based on Dynamic Planning
- Cardsformer: Grounding Language to Learn a Generalizable Policy in Hearthstone
- Visualization Enhancement of Saliency Methods Based on the Sliding Window Mechanism
- Characterizations of Network Auctions and Generalizations of VCG
- Identical and Fraternal Twins: Fine-Grained Semantic Contrastive Learning of Sentence Representations
- Identifying Helpful Learnwares Without Examining the Whole Market
- IPERS: Individual Prioritized Experience Replay with Subgoals for Sparse Reward Multi-Agent Reinforcement Learning
- Domain Knowledge Injection in Bayesian Search for New Materials
- Task-Prompt Generalised World Model in Multi-Environment Offline Reinforcement Learning
- Task-Sensitive Discriminative Mutual Attention Network for Few-Shot Learning
- Fingerprint Attack: Client De-Anonymization in Federated Learning
- Specializing Small Language Models Towards Complex Style Transfer via Latent Attribute Pre-Training
- Rethinking Temporal Information in Session-Based Recommendation: A Position-Agnostic Approach
- A Declarative Approach to Compact Controllers for FOND Planning via Answer Set Programming
- Optimizing Chance-Constrained Submodular Problems with Variable Uncertainties
- Instance-Wise Adaptive Tuning and Caching for Vision-Language Models
- Enhancing Link Prediction with Self-Discriminating Augmentation for Structure-Aware Contrastive Learning
- Model-Based Offline Policy Optimization with Adversarial Network
- Reinforcement Learning by Guided Safe Exploration
- Data-Free Class-Incremental Learning with Implicit Representation of Prototypes
- Enhanced Machine Reading Comprehension Method for Aspect Sentiment Quadruplet Extraction
- Towards Abstractive Timeline Summarisation Using Preference-Based Reinforcement Learning
- Deep Interactions-Boosted Embeddings for Link Prediction on Knowledge Graph
- Argument Attribution Explanations in Quantitative Bipolar Argumentation Frameworks
- CERM: Context-Aware Literature-Based Discovery via Sentiment Analysis
- Highly-Efficient Robinson-Foulds Distance Estimation with Matrix Correction
- Fair Deep Reinforcement Learning with Preferential Treatment
- Boosting Visual Question Answering Through Geometric Perception and Region Features
- Region-Specific Prototype Customization for Weakly Supervised Semantic Segmentation
- ESP: Exploiting Symmetry Prior for Multi-Agent Reinforcement Learning
- Invisible Backdoor Attacks Using Data Poisoning in Frequency Domain
- Micro-Expression Spotting Method Based on AU Prototype
- Improving Text Semantic Similarity Modeling Through a 3D Siamese Network
- Knowledge Injection for Multiagent Systems via Counterfactual Perception Shaping
- Privacy-Enhanced AI Assistants Based on Dialogues and Case Similarity
- Multi-Aspect Enhanced Convolutional Neural Networks for Knowledge Graph Completion
- Siamese Representation Learning for Unsupervised Relation Extraction
- Information Bound and Its Applications in Bayesian Neural Networks
- Uncertainty-Driven Trajectory Truncation for Data Augmentation in Offline Reinforcement Learning
- Revisiting the Efficiency-Accuracy Tradeoff in Adapting Transformer Models via Adversarial Fine-Tuning
- Read Key Points: Dialogue-Grounded Knowledge Points Generation with Multi-Level Salience-Aware Mixture
- Individual Fairness Under Uncertainty
- DCNet: Weakly Supervised Saliency Guided Dual Coding Network for Visual Sentiment Recognition
- Adam Accumulation to Reduce Memory Footprints of Both Activations and Gradients for Large-Scale DNN Training
- Structure-Aware Group Discrimination with Adaptive-View Graph Encoder: A Fast Graph Contrastive Learning Framework
- Time-Series Data Imputation via Realistic Masking-Guided Tri-Attention Bi-GRU
- Deep Unsupervised Hashing with Hyperbolic Multi-Structure Learning
- MIATS:A Chinese Spelling Error Correction Algorithm Based on Multimodal Information Alignment of Three-Towers Structure
- XFed: Improving Explainability in Federated Learning by Intersection Over Union Ratio Extended Client Selection
- Improving Adversarial Transferability with Ghost Samples
- Turn on the Right Track: Weakly Supervised Video Moment Retrieval with Self-Improving Query Reconstruction
- Enhancing Dyadic Relations with Homogeneous Graphs for Multimodal Recommendation
- Robustness Testing for Multi-Agent Reinforcement Learning: State Perturbations on Critical Agents
- Deep Co-Training for Cross-Modality Medical Image Segmentation
- Grafting Fine-Tuning and Reinforcement Learning for Empathetic Emotion Elicitation in Dialog Generation
- Ensembling Uncertainty Measures to Improve Safety of Black-Box Classifiers
- PMAA: A Progressive Multi-Scale Attention Autoencoder Model for High-Performance Cloud Removal from Multi-Temporal Satellite Imagery
- PAIS Papers
- A Neuro-Symbolic Approach for Non-Intrusive Load Monitoring
- Environmentally-Aware Bundle Recommendation Using the Choquet Integral
- FMTESTING: A FEATUREIDE Plug-in for Automated Feature Model Analysis and Diagnosis
- CICERO: A GPT2-Based Writing Assistant to Investigate the Effectiveness of Specialized LLMs' Applications in e-Justice
- Acquisition and Formalization of Tacit Knowledge for Value Chain Generation in Local Production Networks
- Building a Few-Shot Cross-Domain Multilingual NLU Model for Customer Care
- Creating Explainable Dynamic Checklists via Machine Learning to Ensure Decent Working Environment for All: A Field Study with Labour Inspections
- The Monad Platform - Temporal Aspects in Behavioral Modeling
- Online Evaluation of Tail Project Boosting in Citizen Science
- Classifying Aircraft Categories from Magnetometry Data Using a Hypotheses-Based Multi-Task Framework
- Author Index
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