IJCAI 2020 Accepted Papers
The full list of 778 papers accepted at IJCAI 2020 (International Joint Conference on Artificial Intelligence). Click any title for details, similar papers, and links to the original source. You can also search these papers by meaning, not just keywords.
Poster: 778
- A 3D Convolutional Approach to Spectral Object Segmentation in Space and TimePoster
- A Bi-level Formulation for Label Noise Learning with Spectral Cluster DiscoveryPoster
- A Brief History of Learning Symbolic Higher-Level Representations from Data (And a Curious Look Forward)Poster
- A Complete Characterization of Projectivity for Statistical Relational ModelsPoster
- A Dataset Complexity Measure for Analogical TransferPoster
- A De Novo Divide-and-Merge Paradigm for Acoustic Model Optimization in Automatic Speech RecognitionPoster
- A Deep Reinforcement Learning Approach to Concurrent Bilateral NegotiationPoster
- A Dual Input-aware Factorization Machine for CTR PredictionPoster
- A Formal Approach for Cautious Reasoning in Answer Set Programming (Extended Abstract)Poster
- A Framework for Reasoning about Dynamic Axioms in Description LogicsPoster
- A Fully Rational Account of Structured Argumentation Under Resource BoundsPoster
- A Game Theoretic Approach For Core ResiliencePoster
- A Gamified Assessment Platform for Predicting the Risk of Dementia +Parkinson’s disease (DPD) Co-MorbidityPoster
- A Graph-based Interactive Reasoning for Human-Object Interaction DetectionPoster
- A Graphical and Attentional Framework for Dual-Target Cross-Domain RecommendationPoster
- A Journey into Ontology Approximation: From Non-Horn to HornPoster
- A Label Attention Model for ICD Coding from Clinical TextPoster
- A Logic of DirectionsPoster
- A Modal Logic for Joint Abilities under Strategy CommitmentsPoster
- A Multi-Objective Approach to Mitigate Negative Side EffectsPoster
- A Multi-player Game for Studying Federated Learning Incentive SchemesPoster
- A New Attention Mechanism to Classify Multivariate Time SeriesPoster
- A Novel Spatio-Temporal Multi-Task Approach for the Prediction of Diabetes-Related Complication: a Cardiopathy Case of StudyPoster
- A Penny for Your Thoughts: The Value of Communication in Ad Hoc TeamworkPoster
- A Quantum-inspired Entropic Kernel for Multiple Financial Time Series AnalysisPoster
- A Relation-Specific Attention Network for Joint Entity and Relation ExtractionPoster
- A Sequential Convolution Network for Population Flow Prediction with Explicitly Correlation ModellingPoster
- A Similarity Inference Metric for RGB-Infrared Cross-Modality Person Re-identificationPoster
- A Spatial Missing Value Imputation Method for Multi-view Urban Statistical DataPoster
- A Speech-to-Knowledge-Graph Construction SystemPoster
- A Structured Latent Variable Recurrent Network With Stochastic Attention For Generating Weibo CommentsPoster
- A Survey on Computational Propaganda DetectionPoster
- A Survey on Representation Learning for User ModelingPoster
- A Survey on Temporal Reasoning for Temporal Information Extraction from Text (Extended Abstract)Poster
- A Survey on Using Gaze Behaviour for Natural Language ProcessingPoster
- A Testbed for Studying COVID-19 Spreading in Ride-Sharing SystemsPoster
- A Two-Stage Matheuristic Algorithm for Classical Inventory Routing ProblemPoster
- A Two-level Reinforcement Learning Algorithm for Ambiguous Mean-variance Portfolio Selection ProblemPoster
- A Unified Model for Financial Event Classification, Detection and SummarizationPoster
- A Unified Model for the Two-stage Offline-then-Online Resource AllocationPoster
- A User Interface for Exploring and Querying Knowledge Graphs (Extended Abstract)Poster
- AI-Powered Oracle Bone Inscriptions Recognition and Fragments RejoiningPoster
- AILA: A Question Answering System in the Legal DomainPoster
- Accelerating Stratified Sampling SGD by Reconstructing StrataPoster
- Achieving Outcome Fairness in Machine Learning Models for Social Decision ProblemsPoster
- Action-Guided Attention Mining and Relation Reasoning Network for Human-Object Interaction DetectionPoster
- AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture SearchPoster
- Adaptively Multi-Objective Adversarial Training for Dialogue GenerationPoster
- Adversarial Graph Embeddings for Fair Influence Maximization over Social NetworksPoster
- Adversarial Mutual Information Learning for Network EmbeddingPoster
- Adversarial Oracular Seq2seq Learning for Sequential RecommendationPoster
- Aggregating Crowd Wisdom with Side Information via a Clustering-based Label-aware AutoencoderPoster
- Algorithms for Estimating the Partition Function of Restricted Boltzmann Machines (Extended Abstract)Poster
- All-Instances Oblivious Chase Termination is Undecidable for Single-Head Binary TGDsPoster
- Alleviate Dataset Shift Problem in Fine-grained Entity Typing with Virtual Adversarial TrainingPoster
- Almost Group Envy-free Allocation of Indivisible Goods and ChoresPoster
- Altruism in Coalition Formation GamesPoster
- An AI-empowered Visual Storyline GeneratorPoster
- An Algorithm for Multi-Attribute Diverse MatchingPoster
- An Anomaly Detection and Explainability Framework using Convolutional Autoencoders for Data Storage SystemsPoster
- An Attention-based Model for Conversion Rate Prediction with Delayed Feedback via Post-click CalibrationPoster
- An End-to-End Optimal Trade Execution Framework based on Proximal Policy OptimizationPoster
- An Exact Single-Agent Task Selection Algorithm for the Crowdsourced LogisticsPoster
- An Improved Latent Low Rank Representation for Automatic Subspace ClusteringPoster
- An Interactive Multi-Task Learning Framework for Next POI Recommendation with Uncertain Check-insPoster
- An Interactive Visualization Platform for Deep Symbolic RegressionPoster
- An Iterative Multi-Source Mutual Knowledge Transfer Framework for Machine Reading ComprehensionPoster
- An Online Learning Framework for Energy-Efficient Navigation of Electric VehiclesPoster
- Analogy Between Concepts (Extended Abstract)Poster
- Analysis of Q-learning with Adaptation and Momentum Restart for Gradient DescentPoster
- Answer Generation through Unified Memories over Multiple PassagesPoster
- Answering Counting Queries over DL-Lite OntologiesPoster
- Approximate Pareto Set for Fair and Efficient Allocation: Few Agent Types or Few Resource TypesPoster
- Approximate Weighted First-Order Model Counting: Exploiting Fast Approximate Model Counters and SymmetryPoster
- Arbitrary Talking Face Generation via Attentional Audio-Visual Coherence LearningPoster
- Argot: Generating Adversarial Readable Chinese TextsPoster
- Asking Effective and Diverse Questions: A Machine Reading Comprehension based Framework for Joint Entity-Relation ExtractionPoster
- Assume-Guarantee Synthesis for Prompt Linear Temporal LogicPoster
- Asymmetric Distribution Measure for Few-shot LearningPoster
- AttAN: Attention Adversarial Networks for 3D Point Cloud Semantic SegmentationPoster
- Attention as Relation: Learning Supervised Multi-head Self-Attention for Relation ExtractionPoster
- Attention-based Multi-level Feature Fusion for Named Entity RecognitionPoster
- AutoSurvey: Automatic Survey Generation based on a Research DraftPoster
- Automated Construction of Bounded-Loss Imperfect-Recall Abstractions in Extensive-Form Games (Extended Abstract)Poster
- Automatic Curriculum Learning For Deep RL: A Short SurveyPoster
- Automatic Dominance Breaking for a Class of Constraint Optimization ProblemsPoster
- Automatic Emergency Diagnosis with Knowledge-Based Tree DecodingPoster
- Automatic Synthesis of Generalized Winning Strategies of Impartial Combinatorial Games Using SMT SolversPoster
- Auxiliary Template-Enhanced Generative Compatibility ModelingPoster
- BANANA: when Behavior ANAlysis meets social Network AlignmentPoster
- BARNet: Bilinear Attention Network with Adaptive Receptive Fields for Surgical Instrument SegmentationPoster
- BDI Agent Architectures: A SurveyPoster
- BERT-INT:A BERT-based Interaction Model For Knowledge Graph AlignmentPoster
- BERT-PLI: Modeling Paragraph-Level Interactions for Legal Case RetrievalPoster
- BRPO: Batch Residual Policy OptimizationPoster
- BaKer-Nets: Bayesian Random Kernel Mapping NetworksPoster
- Balancing Individual Preferences and Shared Objectives in Multiagent Reinforcement LearningPoster
- Batch Decorrelation for Active Metric LearningPoster
- Bayesian Case-Exclusion and Personalized Explanations for Sustainable Dairy Farming (Extended Abstract)Poster
- Bayesian Decision Process for Budget-efficient Crowdsourced ClusteringPoster
- Bayesian Optimization using Pseudo-PointsPoster
- Belief Merging Operators as Maximum Likelihood EstimatorsPoster
- Best Arm Identification in Spectral BanditsPoster
- Best-first Enumeration Based on Bounding Conflicts, and its Application to Large-scale Hybrid Estimation (Extended Abstract)Poster
- Better AMR-To-Text Generation with Graph Structure ReconstructionPoster
- Beyond Intra-modality: A Survey of Heterogeneous Person Re-identificationPoster
- Beyond Labels: Knowledge Elicitation using Deep Metric Learning and Psychometric TestingPoster
- Beyond Network Pruning: a Joint Search-and-Training ApproachPoster
- Bi-level Probabilistic Feature Learning for Deformable Image RegistrationPoster
- Biased Feature Learning for Occlusion Invariant Face RecognitionPoster
- Biased Opinion Dynamics: When the Devil is in the DetailsPoster
- Bidirectional Adversarial Training for Semi-Supervised Domain AdaptationPoster
- Bidirectional Heuristic Search: Expanding Nodes by a Lower BoundPoster
- Bilinear Graph Neural Network with Neighbor InteractionsPoster
- Binary Classification from Positive Data with Skewed ConfidencePoster
- Bipartite Encoding: A New Binary Encoding for Solving Non-Binary CSPsPoster
- BitcoinHeist: Topological Data Analysis for Ransomware Prediction on the Bitcoin BlockchainPoster
- BlueMemo: Depression Analysis through Twitter PostsPoster
- Boolean Games: Inferring Agents' Goals Using Taxation QueriesPoster
- Bottom-up and Top-down: Bidirectional Additive Net for Edge DetectionPoster
- Boundary Extension Features for Width-Based Planning with Simulators on Continuous-State DomainsPoster
- Bridging Causality and Learning: How Do They Benefit from Each Other?Poster
- Bridging Cross-Tasks Gap for Cognitive Assessment via Fine-Grained Domain AdaptationPoster
- Bridging the Gap between Training and Inference for Neural Machine Translation (Extended Abstract)Poster
- Budgeted Facility Location Games with Strategic FacilitiesPoster
- C3MM: Clique-Closure based Hyperlink PredictionPoster
- CDC: Classification Driven Compression for Bandwidth Efficient Edge-Cloud Collaborative Deep LearningPoster
- CDIMC-net: Cognitive Deep Incomplete Multi-view Clustering NetworkPoster
- CP-NAS: Child-Parent Neural Architecture Search for 1-bit CNNsPoster
- Can Cross Entropy Loss Be Robust to Label Noise?Poster
- Catching Cheats: Detecting Strategic Manipulation in Distributed Optimisation of Electric Vehicle Aggregators (Extended Abstract)Poster
- Cause-Effect Association between Event Pairs in Event DatasetsPoster
- Certifai: A Toolkit for Building Trust in AI SystemsPoster
- Channel Pruning via Automatic Structure SearchPoster
- Channel-Level Variable Quantization Network for Deep Image CompressionPoster
- Characterizing Similarity of Visual Stimulus from Associated Neuronal ResponsePoster
- Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain AdaptationPoster
- Class Prior Estimation in Active Positive and Unlabeled LearningPoster
- Classification with Rejection: Scaling Generative Classifiers with Supervised Deep InfomaxPoster
- Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural NetworksPoster
- Closing the Loop: Bringing Humans into Empirical Computational Social Choice and Preference ReasoningPoster
- Co-Saliency Spatio-Temporal Interaction Network for Person Re-Identification in VideosPoster
- CoSDA-ML: Multi-Lingual Code-Switching Data Augmentation for Zero-Shot Cross-Lingual NLPPoster
- Collaboration Based Multi-Label Propagation for Fraud DetectionPoster
- Collaborative Learning of Depth Estimation, Visual Odometry and Camera Relocalization from Monocular VideosPoster
- Collaborative Self-Attention Network for Session-based RecommendationPoster
- Collective Decision Making under Incomplete Knowledge: Possible and Necessary SolutionsPoster
- Coloring Graph Neural Networks for Node DisambiguationPoster
- Combinatorial Multi-Armed Bandits with Concave Rewards and Fairness ConstraintsPoster
- Combining Direct Trust and Indirect Trust in Multi-Agent SystemsPoster
- Commonsense Reasoning to Guide Deep Learning for Scene Understanding (Extended Abstract)Poster
- Communicative Representation Learning on Attributed Molecular GraphsPoster
- Community-Centric Graph Convolutional Network for Unsupervised Community DetectionPoster
- Competition Among Contests: a Safety Level AnalysisPoster
- Complete Bottom-Up Predicate Invention in Meta-Interpretive LearningPoster
- Compositionality Decomposed: How do Neural Networks Generalise? (Extended Abstract)Poster
- Compressed Self-Attention for Deep Metric Learning with Low-Rank ApproximationPoster
- Computational Aspects of Conditional Minisum Approval Voting in Elections with Interdependent IssuesPoster
- Concentration of Distortion: The Value of Extra Voters in Randomized Social ChoicePoster
- Concurrent Games in Dynamic Epistemic LogicPoster
- Cone Semantics for Logics with NegationPoster
- Consistent Domain Structure Learning and Domain Alignment for 2D Image-Based 3D Objects RetrievalPoster
- Consistent MetaReg: Alleviating Intra-task Discrepancy for Better Meta-knowledgePoster
- Constrained Policy Improvement for Efficient Reinforcement LearningPoster
- Context Aware Sequence ModelingPoster
- Context Vectors Are Reflections of Word Vectors in Half the Dimensions (Extended Abstract)Poster
- Contextualized Point-of-Interest RecommendationPoster
- Controllability of Control Argumentation FrameworksPoster
- Controlled Query Evaluation in Description Logics Through Instance IndistinguishabilityPoster
- Convexity of b-matching GamesPoster
- Convolutional Neural Networks with Compression Complexity Pooling for Out-of-Distribution Image DetectionPoster
- CooBa: Cross-project Bug Localization via Adversarial Transfer LearningPoster
- Cost-Partitioned Merge-and-Shrink Heuristics for Optimal Classical PlanningPoster
- Counting Query Answers over a DL-Lite Knowledge BasePoster
- Cross-Interaction Hierarchical Attention Networks for Urban Anomaly PredictionPoster
- Cross-denoising Network against Corrupted Labels in Medical Image Segmentation with Domain ShiftPoster
- Crowd-Steer: Realtime Smooth and Collision-Free Robot Navigation in Densely Crowded Scenarios Trained using High-Fidelity SimulationPoster
- Crowdsourcing with Multiple-Source Knowledge TransferPoster
- DACE: Distribution-Aware Counterfactual Explanation by Mixed-Integer Linear OptimizationPoster
- DAM: Deliberation, Abandon and Memory Networks for Generating Detailed and Non-repetitive Responses in Visual DialoguePoster
- DIDFuse: Deep Image Decomposition for Infrared and Visible Image FusionPoster
- Data-Driven Market-Making via Model-Free LearningPoster
- Dataless Short Text Classification Based on Biterm Topic Model and Word EmbeddingsPoster
- Ddo, a Generic and Efficient Framework for MDD-Based OptimizationPoster
- Decentralized MCTS via Learned Teammate ModelsPoster
- Decidability Results in First-Order Epistemic PlanningPoster
- Decision Platform for Pattern Discovery and Causal Effect Estimation in Contraceptive DiscontinuationPoster
- Decorrelated Clustering with Data Selection BiasPoster
- Deductive Module Extraction for Expressive Description LogicsPoster
- Deep Feedback Network for RecommendationPoster
- Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance EstimationPoster
- Deep Interleaved Network for Single Image Super-Resolution with Asymmetric Co-AttentionPoster
- Deep Latent Low-Rank Fusion Network for Progressive Subspace DiscoveryPoster
- Deep Learning for Abstract Argumentation SemanticsPoster
- Deep Learning for Community Detection: Progress, Challenges and OpportunitiesPoster
- Deep Polarized Network for Supervised Learning of Accurate Binary Hashing CodesPoster
- Deep Semantic Compliance Advisor for Unstructured Document Compliance CheckingPoster
- Deep Visuo-Tactile Learning: Estimation of Tactile Properties from Images (Extended Abstract)Poster
- DeepVentilation: Learning to Predict Physical Effort from BreathingPoster
- DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality ReductionPoster
- DeepWeave: Accelerating Job Completion Time with Deep Reinforcement Learning-based Coflow SchedulingPoster
- Delete- and Ordering-Relaxation Heuristics for HTN PlanningPoster
- Design Adaptive AI for RTS Game by Learning Player's Build OrderPoster
- Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction ErrorPoster
- Determining Inference Semantics for Disjunctive Logic Programs (Extended Abstract)Poster
- Developing an Integrated Model of Speech EntrainmentPoster
- Diagnosing Software Faults Using Multiverse AnalysisPoster
- Diagnosing the Environment Bias in Vision-and-Language NavigationPoster
- Dialogue State Induction Using Neural Latent Variable ModelsPoster
- Differential Privacy for Stackelberg GamesPoster
- Diffusion Variational AutoencodersPoster
- Dinkelbach-Type Algorithm for Computing Quantal Stackelberg EquilibriumPoster
- Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural NetworksPoster
- Discovering Latent Class Labels for Multi-Label LearningPoster
- Discovering Subsequence Patterns for Next POI RecommendationPoster
- Discrete Biorthogonal Wavelet Transform Based Convolutional Neural Network for Atrial Fibrillation Diagnosis from ElectrocardiogramPoster
- Discrete Embedding for Latent NetworksPoster
- Discriminative Feature Selection via A Structured Sparse Subspace Learning ModulePoster
- Disentangled Feature Learning Network for Vehicle Re-IdentificationPoster
- Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit ModelPoster
- Disentangling Direct and Indirect Interactions in Polytomous Item Response Theory ModelsPoster
- Diversity of Solutions: An Exploration Through the Lens of Fixed-Parameter Tractability TheoryPoster
- Domain Adaptation for Semantic ParsingPoster
- Domain Adaptive Classification on Heterogeneous Information NetworksPoster
- Dress like an Internet Celebrity: Fashion Retrieval in VideosPoster
- DropNAS: Grouped Operation Dropout for Differentiable Architecture SearchPoster
- Dual Policy DistillationPoster
- DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPsPoster
- Dynamic Language Binding in Relational Visual ReasoningPoster
- E3SN: Efficient End-to-End Siamese Network for Video Object SegmentationPoster
- ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language GenerationPoster
- EViLBERT: Learning Task-Agnostic Multimodal Sense EmbeddingsPoster
- Early and Efficient Identification of Useless Constraint Propagation for Alldifferent ConstraintsPoster
- Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question AnsweringPoster
- Efficient Algorithms for Learning Revenue-Maximizing Two-Part TariffsPoster
- Efficient Community Search over Large Directed Graph: An Augmented Index-based ApproachPoster
- Efficient Context-Aware Neural Machine Translation with Layer-Wise Weighting and Input-Aware GatingPoster
- Efficient Deep Reinforcement Learning via Adaptive Policy TransferPoster
- Efficient and Modularized Training on FPGA for Real-time ApplicationsPoster
- Efficient and Robust High-Dimensional Linear Contextual BanditsPoster
- Embedding Conjugate Gradient in Learning Random Walks for Landscape Connectivity Modeling in ConservationPoster
- Embodied Multimodal Multitask LearningPoster
- EmoElicitor: An Open Domain Response Generation Model with User Emotional Reaction AwarenessPoster
- Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification (Extended Abstract)Poster
- End-to-End Signal Factorization for Speech: Identity, Content, and StylePoster
- End-to-End Transition-Based Online Dialogue DisentanglementPoster
- EndCold: An End-to-End Framework for Cold Question Routing in Community Question Answering ServicesPoster
- Enhancing Dialog Coherence with Event Graph Grounded Content PlanningPoster
- Enhancing Urban Flow Maps via Neural ODEsPoster
- Enriching Documents with Compact, Representative, Relevant Knowledge GraphsPoster
- Entity Synonym Discovery via Multipiece Bilateral Context MatchingPoster
- Ethics, Prosperity, and Society: Moral Evaluation Using Virtue Ethics and UtilitarianismPoster
- Euclidean Pathfinding with Compressed Path DatabasesPoster
- Evaluating Approval-Based Multiwinner Voting in Terms of Robustness to NoisePoster
- Evaluating Committees for Representative Democracies: the Distortion and BeyondPoster
- Evaluating Natural Language Generation via Unbalanced Optimal TransportPoster
- Evaluating and Aggregating Feature-based Model ExplanationsPoster
- Evidence-Aware Hierarchical Interactive Attention Networks for Explainable Claim VerificationPoster
- Exemplar Guided Neural Dialogue GenerationPoster
- Explainable Inference on Sequential Data via Memory-TrackingPoster
- Explainable Recommendation via Interpretable Feature Mapping and Evaluation of ExplainabilityPoster
- Explanation Perspectives from the Cognitive Sciences---A SurveyPoster
- Exploiting Mutual Information for Substructure-aware Graph Representation LearningPoster
- Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural NetworkPoster
- Exploiting Visual Semantic Reasoning for Video-Text RetrievalPoster
- Exploration Based Language Learning for Text-Based GamesPoster
- Exploring Bilingual Parallel Corpora for Syntactically Controllable Paraphrase GenerationPoster
- Exploring Parameter Space with Structured Noise for Meta-Reinforcement LearningPoster
- Extended Conjunctive Normal Form and An Efficient Algorithm for Cardinality ConstraintsPoster
- F-HMTC: Detecting Financial Events for Investment Decisions Based on Neural Hierarchical Multi-Label Text ClassificationPoster
- FNNC: Achieving Fairness through Neural NetworksPoster
- Fair Division of Time: Multi-layered Cake CuttingPoster
- Fair Division: The Computer Scientist’s PerspectivePoster
- Fairness-Aware Neural Rényi Minimization for Continuous FeaturesPoster
- FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake FacesPoster
- Fast and Accurate Neural CRF Constituency ParsingPoster
- Fast and Parallel Decomposition of Constraint Satisfaction ProblemsPoster
- Feature Augmented Memory with Global Attention Network for VideoQAPoster
- Feature Statistics Guided Efficient Filter PruningPoster
- Federated Meta-Learning for Fraudulent Credit Card DetectionPoster
- Few-shot Human Motion Prediction via Learning Novel Motion DynamicsPoster
- Few-shot Visual Learning with Contextual Memory and Fine-grained CalibrationPoster
- Fighting Wildfires under Uncertainty - A Sequential Resource Allocation ApproachPoster
- FinBERT: A Pre-trained Financial Language Representation Model for Financial Text MiningPoster
- Financial Risk Analysis for SMEs with Graph-based Supply Chain MiningPoster
- Financial Risk Prediction with Multi-Round Q&A Attention NetworkPoster
- Financial Thought Experiment: A GAN-based Approach to Vast Robust Portfolio SelectionPoster
- Fine-Grained View on Bribery for Group IdentificationPoster
- Flow-Based Network Creation GamesPoster
- Flow-based Intrinsic Curiosity ModulePoster
- FlowSynth: Simplifying Complex Audio Generation Through Explorable Latent Spaces with Normalizing FlowsPoster
- Forecasting Avian Migration Patterns using a Deep Bidirectional RNN Augmented with an Auxiliary TaskPoster
- Forgetting Auxiliary Atoms in Forks (Extended Abstract)Poster
- Formal Query Building with Query Structure Prediction for Complex Question Answering over Knowledge BasePoster
- Formalizing Group and Propagated Trust in Multi-Agent SystemsPoster
- Formulas Free From Inconsistency: An Atom-Centric Characterization in Priest's Minimally Inconsistent LP (Extended Abstract)Poster
- From Standard Summarization to New Tasks and Beyond: Summarization with Manifold InformationPoster
- From Statistical Relational to Neuro-Symbolic Artificial IntelligencePoster
- From Support Propagation to Belief Propagation in Constraint Programming (Extended Abstract)Poster
- Front-to-Front Heuristic Search for Satisficing Classical PlanningPoster
- Fully Nested Neural Network for Adaptive Compression and QuantizationPoster
- G2RL: Geometry-Guided Representation Learning for Facial Action Unit Intensity EstimationPoster
- GSM: Graph Similarity Model for Multi-Object TrackingPoster
- Gated POS-Level Language Model for Authorship VerificationPoster
- Gaussian Embedding of Linked Documents from a Pretrained Semantic SpacePoster
- GenC: A Fast Tool for Applications Involving Belief RevisionPoster
- General Purpose MRF Learning with Neural Network PotentialsPoster
- Generalized Mean Estimation in Monte-Carlo Tree SearchPoster
- Generalized Representation Learning Methods for Deep Reinforcement LearningPoster
- Generalized Zero-Shot Text Classification for ICD CodingPoster
- Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement LearningPoster
- Generating Interpretable Poverty Maps using Object Detection in Satellite ImagesPoster
- Generating Natural Counterfactual Visual ExplanationsPoster
- Generating Person Images with Appearance-aware Pose StylizerPoster
- Generating Reasonable Legal Text through the Combination of Language Modeling and Question AnsweringPoster
- Generating Robust Audio Adversarial Examples with Temporal DependencyPoster
- GestureDet: Real-time Student Gesture Analysis with Multi-dimensional Attention-based DetectorPoster
- Global Structure and Local Semantics-Preserved Embeddings for Entity AlignmentPoster
- GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity InteractionsPoster
- Goal Recognition Design - SurveyPoster
- Gradient Perturbation is Underrated for Differentially Private Convex OptimizationPoster
- Graph Neural Architecture SearchPoster
- Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and PerspectivePoster
- GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine ComprehensionPoster
- GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage ClassificationPoster
- Greedy Convex EnsemblePoster
- Guided Generation of Cause and EffectPoster
- HAF-SVG: Hierarchical Stochastic Video Generation with Aligned FeaturesPoster
- HID: Hierarchical Multiscale Representation Learning for Information DiffusionPoster
- Handling Black Swan Events in Deep Learning with Diversely Extrapolated Neural NetworksPoster
- Harnessing Code Switching to Transcend the Linguistic BarrierPoster
- Heterogeneous Network Representation LearningPoster
- Hierarchical Attention Based Spatial-Temporal Graph-to-Sequence Learning for Grounded Video DescriptionPoster
- Hierarchical Instance Feature Alignment for 2D Image-Based 3D Shape RetrievalPoster
- Hierarchical Linear Disentanglement of Data-Driven Conceptual SpacesPoster
- Hierarchical Matching Network for Heterogeneous Entity ResolutionPoster
- Hierarchical Multi-Scale Gaussian Transformer for Stock Movement PredictionPoster
- Hierarchical Multi-task Learning for Organization Evaluation of Argumentative Student EssaysPoster
- Hierarchical Reinforcement Learning for Pedagogical Policy Induction (Extended Abstract)Poster
- How Causal Structural Knowledge Adds Decision-Support in Monitoring of Automotive Body Shop Assembly LinesPoster
- How Far are We from Effective Context Modeling? An Exploratory Study on Semantic Parsing in ContextPoster
- Human Consensus-Oriented Image CaptioningPoster
- Human Gaze Assisted Artificial Intelligence: A ReviewPoster
- Human Values and Digital Patterns in Physical Exercise (Extended Abstract)Poster
- Human-Driven FOL Explanations of Deep LearningPoster
- Hybrid Learning for Multi-agent Cooperation with Sub-optimal DemonstrationsPoster
- Hype-HAN: Hyperbolic Hierarchical Attention Network for Semantic EmbeddingPoster
- HyperNews: Simultaneous News Recommendation and Active-Time Prediction via a Double-Task Deep Neural NetworkPoster
- Hypothesis Sketching for Online Kernel Selection in Continuous Kernel SpacePoster
- I4R: Promoting Deep Reinforcement Learning by the Indicator for Expressive RepresentationsPoster
- IGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational DataPoster
- IKBT: Solving Symbolic Inverse Kinematics with Behavior Tree (Extended Abstract)Poster
- IR-VIC: Unsupervised Discovery of Sub-goals for Transfer in RLPoster
- Implementing Theory of Mind on a Robot Using Dynamic Epistemic LogicPoster
- Improving Attention Mechanism in Graph Neural Networks via Cardinality PreservationPoster
- Improving Knowledge Tracing via Pre-training Question EmbeddingsPoster
- Improving Tandem Mass Spectra Analysis with Hierarchical LearningPoster
- Incentive-Compatible Diffusion AuctionsPoster
- Incentivizing Evaluation with Peer Prediction and Limited Access to Ground Truth (Extended Abstract)Poster
- Inconsistency Measurement for Improving Logical Formula ClusteringPoster
- Incorporating Extra Knowledge to Enhance Word EmbeddingPoster
- Incorporating Failure Events in Agents’ Decision Making to Improve User SatisfactionPoster
- Independent Skill Transfer for Deep Reinforcement LearningPoster
- Individual Fairness Revisited: Transferring Techniques from Adversarial RobustnessPoster
- Inductive Anomaly Detection on Attributed NetworksPoster
- Inductive Link Prediction for Nodes Having Only Attribute InformationPoster
- Inference-Masked Loss for Deep Structured Output LearningPoster
- Inferring Degrees from Incomplete Networks and Nonlinear DynamicsPoster
- Infobox-to-text Generation with Tree-like Planning based Attention NetworkPoster
- Infochain: A Decentralized, Trustless and Transparent Oracle on BlockchainPoster
- Inspection of Blackbox Models for Evaluating Vulnerability in Maternal, Newborn, and Child HealthPoster
- Intelligent Virtual Machine Provisioning in Cloud ComputingPoster
- Intent Preference Decoupling for User Representation on Online Recommender SystemPoster
- Intention Progression under UncertaintyPoster
- Intention2Basket: A Neural Intention-driven Approach for Dynamic Next-basket PlanningPoster
- Internal and Contextual Attention Network for Cold-start Multi-channel Matching in RecommendationPoster
- Interpretable Models for Understanding Immersive SimulationsPoster
- Interpretable Multimodal Learning for Intelligent Regulation in Online Payment SystemsPoster
- Inverse Reinforcement Learning for Team Sports: Valuing Actions and PlayersPoster
- Is the Skip Connection Provable to Reform the Neural Network Loss Landscape?Poster
- Iterative-Deepening Conflict-Based SearchPoster
- I²HRL: Interactive Influence-based Hierarchical Reinforcement LearningPoster
- JANE: Jointly Adversarial Network EmbeddingPoster
- JPEG Artifacts Removal via Compression Quality Ranker-Guided NetworksPoster
- Joint Multi-view 2D Convolutional Neural Networks for 3D Object ClassificationPoster
- Joint Partial Optimal Transport for Open Set Domain AdaptationPoster
- Joint Representation Learning of Legislator and Legislation for Roll Call PredictionPoster
- Joint Time-Frequency and Time Domain Learning for Speech EnhancementPoster
- KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction PredictionPoster
- Keep It Real: a Window to Real Reality in Virtual RealityPoster
- Keeping Your Friends Close: Land Allocation with FriendsPoster
- Knowing-How under Uncertainty (Extended Abstract)Poster
- Knowledge Enhanced Event Causality Identification with Mention Masking GeneralizationsPoster
- Knowledge Graphs Enhanced Neural Machine TranslationPoster
- Knowledge Hypergraphs: Prediction Beyond Binary RelationsPoster
- Knowledge-Based Regularization in Generative ModelingPoster
- KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal KnowledgePoster
- LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object RecognitionPoster
- LSGCN: Long Short-Term Traffic Prediction with Graph Convolutional NetworksPoster
- Label Distribution for Learning with Noisy LabelsPoster
- Label Enhancement for Label Distribution Learning via Prior KnowledgePoster
- Label-Attended Hashing for Multi-Label Image RetrievalPoster
- Lagrangian Decomposition for Classical Planning (Extended Abstract)Poster
- Language Independent Sequence Labelling for Opinion Target Extraction (Extended Abstract)Poster
- Large Scale Audiovisual Learning of Sounds with Weakly Labeled DataPoster
- Latent Regularized Generative Dual Adversarial Network For Abnormal DetectionPoster
- Learning Bayesian Networks Under Sparsity Constraints: A Parameterized Complexity AnalysisPoster
- Learning Data-Driven Drug-Target-Disease Interaction via Neural Tensor NetworkPoster
- Learning From Multi-Dimensional Partial LabelsPoster
- Learning Interpretable Models in the Property Specification LanguagePoster
- Learning Interpretable Representations with Informative EntanglementsPoster
- Learning Large Logic Programs By Going Beyond EntailmentPoster
- Learning Latent Forests for Medical Relation ExtractionPoster
- Learning Model with Error -- Exposing the Hidden Model of BAYHENNPoster
- Learning Neural-Symbolic Descriptive Planning Models via Cube-Space Priors: The Voyage Home (to STRIPS)Poster
- Learning Optimal Decision Trees using Constraint Programming (Extended Abstract)Poster
- Learning Optimal Decision Trees with MaxSAT and its Integration in AdaBoostPoster
- Learning Optimal Temperature Region for Solving Mixed Integer Functional DCOPsPoster
- Learning Personalized Itemset Mapping for Cross-Domain RecommendationPoster
- Learning Regional Attention Convolutional Neural Network for Motion Intention Recognition Based on EEG DataPoster
- Learning Sensitivity of RCPSP by Analyzing the Search ProcessPoster
- Learning Sparse Neural Networks for Better GeneralizationPoster
- Learning Task-aware Local Representations for Few-shot LearningPoster
- Learning URI Selection Criteria to Improve the Crawling of Linked Open Data (Extended Abstract)Poster
- Learning With Subquadratic Regularization : A Primal-Dual ApproachPoster
- Learning and Solving Regular Decision ProcessesPoster
- Learning for Graph Matching and Related Combinatorial Optimization ProblemsPoster
- Learning from Few Positives: a Provably Accurate Metric Learning Algorithm to Deal with Imbalanced DataPoster
- Learning from the Scene and Borrowing from the Rich: Tackling the Long Tail in Scene Graph GenerationPoster
- Learning in the Wild with Incremental Skeptical Gaussian ProcessesPoster
- Learning the Compositional Visual Coherence for Complementary RecommendationsPoster
- Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online AdvertisingPoster
- Learning to Complement HumansPoster
- Learning to Discretely Compose Reasoning Module Networks for Video CaptioningPoster
- Learning with Labeled and Unlabeled Multi-Step Transition Data for Recovering Markov Chain from Incomplete Transition DataPoster
- Learning with Noise: Improving Distantly-Supervised Fine-grained Entity Typing via Automatic RelabelingPoster
- Leveraging Document-Level Label Consistency for Named Entity RecognitionPoster
- Lexical-Constraint-Aware Neural Machine Translation via Data AugmentationPoster
- Lifelong Zero-Shot LearningPoster
- Lifted Hybrid Variational InferencePoster
- Location Prediction over Sparse User Mobility Traces Using RNNs: Flashback in Hidden States!Poster
- LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical ReasoningPoster
- Logic Constrained Pointer Networks for Interpretable Textual SimilarityPoster
- Logics of Allies and Enemies: A Formal Approach to the Dynamics of Social Balance TheoryPoster
- Lossless Semantic Round-Tripping in PENG ASPPoster
- Lower Bounds and Faster Algorithms for Equality ConstraintsPoster
- Lower Bounds for Approximate Knowledge CompilationPoster
- MAPS: Multi-Agent reinforcement learning-based Portfolio management System.Poster
- MLS3RDUH: Deep Unsupervised Hashing via Manifold based Local Semantic Similarity Structure ReconstructingPoster
- MR-GCN: Multi-Relational Graph Convolutional Networks based on Generalized Tensor ProductPoster
- MULTIPOLAR: Multi-Source Policy Aggregation for Transfer Reinforcement Learning between Diverse Environmental DynamicsPoster
- MaCAR: Urban Traffic Light Control via Active Multi-agent Communication and Action RectificationPoster
- Market Manipulation: An Adversarial Learning Framework for Detection and EvasionPoster
- Marthe: Scheduling the Learning Rate Via Online HypergradientsPoster
- Maximizing Welfare with Incentive-Aware Evaluation MechanismsPoster
- Maximizing the Spread of an Opinion in Few Steps: Opinion Diffusion in Non-Binary NetworksPoster
- Maximum Nash Welfare and Other Stories About EFXPoster
- Measuring the Discrepancy between Conditional Distributions: Methods, Properties and ApplicationsPoster
- Mechanism Design for School Choice with Soft Diversity ConstraintsPoster
- Mechanism Design with UncertaintyPoster
- Memory Augmented Neural Model for Incremental Session-based RecommendationPoster
- MergeNAS: Merge Operations into One for Differentiable Architecture SearchPoster
- Meta Segmentation Network for Ultra-Resolution Medical ImagesPoster
- Metamorphic Testing and Certified Mitigation of Fairness Violations in NLP ModelsPoster
- Methodological Issues in Recommender Systems Research (Extended Abstract)Poster
- Metric Learning in Optimal Transport for Domain AdaptationPoster
- Mixed-Variable Bayesian OptimizationPoster
- Model-Based Synthesis of Incremental and Correct Estimators for Discrete Event SystemsPoster
- Model-Free Real-Time Autonomous Energy Management for a Residential Multi-Carrier Energy System: A Deep Reinforcement Learning ApproachPoster
- Model-theoretic Characterizations of Existential Rule LanguagesPoster
- Modeling Dense Cross-Modal Interactions for Joint Entity-Relation ExtractionPoster
- Modeling Perception Errors towards Robust Decision Making in Autonomous VehiclesPoster
- Modeling Topical Relevance for Multi-Turn Dialogue GenerationPoster
- Modeling Voting for System Combination in Machine TranslationPoster
- Modeling the Stock Relation with Graph Network for Overnight Stock Movement PredictionPoster
- Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive ReasoningPoster
- Monte-Carlo Tree Search for Scalable Coalition FormationPoster
- Motif-Preserving Temporal Network EmbeddingPoster
- MuLaN: Multilingual Label propagatioN for Word Sense DisambiguationPoster
- Mucko: Multi-Layer Cross-Modal Knowledge Reasoning for Fact-based Visual Question AnsweringPoster
- Multi-Channel Graph Neural NetworksPoster
- Multi-Class Imbalanced Graph Convolutional Network LearningPoster
- Multi-Directional Heuristic SearchPoster
- Multi-Feedback Bandit Learning with Probabilistic ContextsPoster
- Multi-Robot Adversarial Patrolling Strategies via Lattice PathsPoster
- Multi-Scale Group Transformer for Long Sequence Modeling in Speech SeparationPoster
- Multi-Scale Spatial-Temporal Integration Convolutional Tube for Human Action RecognitionPoster
- Multi-View Attribute Graph Convolution Networks for ClusteringPoster
- Multi-View Joint Graph Representation Learning for Urban Region EmbeddingPoster
- Multi-attention Meta Learning for Few-shot Fine-grained Image RecognitionPoster
- Multi-graph Fusion for Functional Neuroimaging Biomarker DetectionPoster
- Multi-hop Reading Comprehension across Documents with Path-based Graph Convolutional NetworkPoster
- Multi-label Feature Selection via Global Relevance and Redundancy OptimizationPoster
- Multi-scale Two-way Deep Neural Network for Stock Trend PredictionPoster
- Multichannel Color Image Denoising via Weighted Schatten p-norm MinimizationPoster
- Multivariate Probability Calibration with Isotonic Bernstein PolynomialsPoster
- Mutual Information Estimation using LSH SamplingPoster
- NLocalSAT: Boosting Local Search with Solution PredictionPoster
- NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm (Extended Abstract)Poster
- Nearly Optimal Regret for Stochastic Linear Bandits with Heavy-Tailed PayoffsPoster
- Neighbor Combinatorial Attention for Critical Structure MiningPoster
- Network Schema Preserving Heterogeneous Information Network EmbeddingPoster
- NeurASP: Embracing Neural Networks into Answer Set ProgrammingPoster
- Neural Abstractive Summarization with Structural AttentionPoster
- Neural Belief ReasonerPoster
- Neural Entity Summarization with Joint Encoding and Weak SupervisionPoster
- Neural Machine Translation with Error CorrectionPoster
- Neural Representation and Learning of Hierarchical 2-additive Choquet IntegralsPoster
- Neural Tensor Model for Learning Multi-Aspect Factors in Recommender SystemsPoster
- Non-Autoregressive Image Captioning with Counterfactuals-Critical Multi-Agent LearningPoster
- Non-monotone DR-submodular Maximization over General Convex SetsPoster
- NuCDS: An Efficient Local Search Algorithm for Minimum Connected Dominating SetPoster
- Object-Aware Multi-Branch Relation Networks for Spatio-Temporal Video GroundingPoster
- On Building an Interpretable Topic Modeling Approach for the Urdu LanguagePoster
- On Computational Aspects of Iterated Belief ChangePoster
- On Deep Unsupervised Active LearningPoster
- On Irrelevant Literals in Pseudo-Boolean Constraint LearningPoster
- On Metric DBSCAN with Low Doubling DimensionPoster
- On Overfitting and Asymptotic Bias in Batch Reinforcement Learning with Partial Observability (Extended Abstract)Poster
- On Robustness in Qualitative Constraint NetworksPoster
- On the Complexity of Winner Verification and Candidate Winner for Multiwinner Voting RulesPoster
- On the Decidability of Intuitionistic Tense Logic without DisjunctionPoster
- On the Enumeration of Association Rules: A Decomposition-based ApproachPoster
- On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation ClassificationPoster
- On the Learnability of Possibilistic TheoriesPoster
- On the Splitting Property for Epistemic Logic Programs (Extended Abstract)Poster
- One-Shot Neural Architecture Search via Novelty Driven SamplingPoster
- Online Learning in Changing EnvironmentsPoster
- Online Portfolio Selection with Cardinality Constraint and Transaction Costs based on Contextual BanditPoster
- Online Positive and Unlabeled LearningPoster
- Online Revenue Maximization for Server PricingPoster
- Online Semi-supervised Multi-label Classification with Label Compression and Local Smooth RegressionPoster
- Only Relevant Information Matters: Filtering Out Noisy Samples To Boost RLPoster
- Ontology Reasoning with Deep Neural Networks (Extended Abstract)Poster
- Opinion Maximization in Social Trust NetworksPoster
- OptStream: Releasing Time Series Privately (Extended Abstract)Poster
- Optimal Complex Task Assignment in Service CrowdsourcingPoster
- Optimal Margin Distribution Machine for Multi-Instance LearningPoster
- Optimal Planning Modulo TheoriesPoster
- Optimal Policy for Deployment of Machine Learning Models on Energy-Bounded SystemsPoster
- Optimal Region Search with Submodular MaximizationPoster
- Optimal and Non-Discriminative Rehabilitation Program Design for Opioid Addiction Among Homeless YouthPoster
- Optimality, Accuracy, and Efficiency of an Exact Functional TestPoster
- Optimising Partial-Order Plans Via Action ReinstantiationPoster
- Optimization Learning: Perspective, Method, and ApplicationsPoster
- Order-Dependent Event Models for Agent InteractionsPoster
- Overcoming Language Priors with Self-supervised Learning for Visual Question AnsweringPoster
- Overcoming the Grounding Bottleneck Due to Constraints in ASP Solving: Constraints Become PropagatorsPoster
- Overflow Aware Quantization: Accelerating Neural Network Inference by Low-bit Multiply-Accumulate OperationsPoster
- P-KDGAN: Progressive Knowledge Distillation with GANs for One-class Novelty DetectionPoster
- Partial Adversarial Behavior Deception in Security GamesPoster
- Partial Multi-Label Learning via Multi-Subspace RepresentationPoster
- Participatory Budgeting with Project InteractionsPoster
- Pattern-Based Music Generation with Wasserstein Autoencoders and PRC DescriptionsPoster
- Pay Attention to Devils: A Photometric Stereo Network for Better DetailsPoster
- Peer-Prediction in the Presence of Outcome Dependent Lying IncentivesPoster
- PeerNomination: Relaxing Exactness for Increased Accuracy in Peer SelectionPoster
- Performance as a Constraint: An Improved Wisdom of Crowds Using Performance RegularizationPoster
- PewLSTM: Periodic LSTM with Weather-Aware Gating Mechanism for Parking Behavior PredictionPoster
- Phishing Scam Detection on Ethereum: Towards Financial Security for Blockchain EcosystemPoster
- Pitfalls of Learning a Reward Function OnlinePoster
- Pivot-based Maximal Biclique EnumerationPoster
- Plan-Space Explanation via Plan-Property Dependencies: Faster Algorithms & More Powerful PropertiesPoster
- Planning Algorithms for Zero-Sum Games with Exponential Action Spaces: A Unifying PerspectivePoster
- Playing Atari with Six Neurons (Extended Abstract)Poster
- Point at the Triple: Generation of Text Summaries from Knowledge Base Triples (Extended Abstract)Poster
- Polar Relative Positional Encoding for Video-Language SegmentationPoster
- Population Location and Movement Estimation through Cross-domain Data AnalysisPoster
- Position-Aware Recalibration Module: Learning From Feature Semantics and Feature PositionPoster
- Positive Unlabeled Learning with Class-prior ApproximationPoster
- Potential Driven Reinforcement Learning for Hard Exploration TasksPoster
- Predicting Landslides Using Locally Aligned Convolutional Neural NetworksPoster
- Predicting Strategic Behavior from Free Text (Extended Abstract)Poster
- Predictive Uncertainty Estimation for Tractable Deep Probabilistic ModelsPoster
- Privileged label enhancement with multi-label learningPoster
- ProbAnch: a Modular Probabilistic Anchoring FrameworkPoster
- Progressive Domain-Independent Feature Decomposition Network for Zero-Shot Sketch-Based Image RetrievalPoster
- Prophet Inequalities for Bayesian PersuasionPoster
- Proportionality in Approval-Based Elections With a Variable Number of WinnersPoster
- Provenance for the Description Logic ELHrPoster
- Proving Semantic Properties as First-Order Satisfiability (Extended Abstract)Poster
- Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex OptimizationPoster
- Pure-Past Linear Temporal and Dynamic Logic on Finite TracesPoster
- Putting Accountability of AI Systems into PracticePoster
- PyDL8.5: a Library for Learning Optimal Decision TreesPoster
- Quadratic Sparse Gaussian Graphical Model Estimation Method for Massive VariablesPoster
- Query Answering for Existential Rules via Efficient Datalog RewritingPoster
- RDF-to-Text Generation with Graph-augmented Structural Neural EncodersPoster
- RECPARSER: A Recursive Semantic Parsing Framework for Text-to-SQL TaskPoster
- RLCard: A Platform for Reinforcement Learning in Card GamesPoster
- RM-CVaR: Regularized Multiple β-CVaR PortfolioPoster
- Randomised Gaussian Process Upper Confidence Bound for Bayesian OptimisationPoster
- Ranking Semantics for Argumentation Systems With NecessitiesPoster
- Rational Closure For All Description Logics (Extended Abstract)Poster
- Real-Time Dispatching of Large-Scale Ride-Sharing Systems: Integrating Optimization, Machine Learning, and Model Predictive ControlPoster
- Real-World Automatic Makeup via Identity Preservation Makeup NetPoster
- Reasoning About Inconsistent FormulasPoster
- Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph ReasoningPoster
- Rebalancing Expanding EV Sharing Systems with Deep Reinforcement LearningPoster
- Recent Developments in Boolean Matrix FactorizationPoster
- Recovering Accurate Labeling Information from Partially Valid Data for Effective Multi-Label LearningPoster
- Recurrent Dirichlet Belief Networks for interpretable Dynamic Relational Data ModellingPoster
- Recurrent Relational Memory Network for Unsupervised Image CaptioningPoster
- Reducing Underflow in Mixed Precision Training by Gradient ScalingPoster
- Reference Guided Face Component EditingPoster
- Reinforcement Learning Framework for Deep Brain Stimulation StudyPoster
- Reinforcement Learning with Dynamic Boltzmann Softmax UpdatesPoster
- Relation-Aware Transformer for Portfolio Policy LearningPoster
- Relation-Based Counterfactual Explanations for Bayesian Network ClassifiersPoster
- Retrieve, Program, Repeat: Complex Knowledge Base Question Answering via Alternate Meta-learningPoster
- Revisiting the Notion of Extension over Incomplete Abstract Argumentation FrameworksPoster
- Reward Prediction Error as an Exploration Objective in Deep RLPoster
- Rewriting the Description Logic ALCHIQ to Disjunctive Existential RulesPoster
- Risk Guarantee Prediction in Networked-LoansPoster
- Risk-Averse Trust Region Optimization for Reward-Volatility ReductionPoster
- Robust Front-End for Multi-Channel ASR using Flow-Based Density EstimationPoster
- Robust Market Making via Adversarial Reinforcement LearningPoster
- Robust Policy Synthesis for Uncertain POMDPs via Convex OptimizationPoster
- Robustness Computation of Dynamic Controllability in Probabilistic Temporal Networks with Ordinary DistributionsPoster
- Robustness of Autoencoders for Anomaly Detection Under Adversarial ImpactPoster
- Rumor Detection on Social Media with Graph Structured Adversarial LearningPoster
- SBAT: Video Captioning with Sparse Boundary-Aware TransformerPoster
- SEBF: A Single-Chain based Extension Model of Blockchain for FintechPoster
- SI-VDNAS: Semi-Implicit Variational Dropout for Hierarchical One-shot Neural Architecture SearchPoster
- SVRG for Policy Evaluation with Fewer Gradient EvaluationsPoster
- Scalable Gaussian Process Regression NetworksPoster
- Scaling Up AND/OR Abstraction SamplingPoster
- SceneEncoder: Scene-Aware Semantic Segmentation of Point Clouds with A Learnable Scene DescriptorPoster
- SelectScale: Mining More Patterns from Images via Selective and Soft DropoutPoster
- Selecting Voting Locations for Fun and ProfitPoster
- Self-Attentional Credit Assignment for Transfer in Reinforcement LearningPoster
- Self-Guided Evolution Strategies with Historical Estimated GradientsPoster
- Self-Supervised Gait Encoding with Locality-Aware Attention for Person Re-IdentificationPoster
- Self-Supervised Tuning for Few-Shot SegmentationPoster
- Self-adaptive Re-weighted Adversarial Domain AdaptationPoster
- Self-paced Consensus Clustering with Bipartite GraphPoster
- Self-supervised Monocular Depth and Visual Odometry Learning with Scale-consistent Geometric ConstraintsPoster
- Semantic Width and the Fixed-Parameter Tractability of Constraint Satisfaction ProblemsPoster
- Semi-Dynamic Hypergraph Neural Network for 3D Pose EstimationPoster
- Semi-Markov Reinforcement Learning for Stochastic Resource CollectionPoster
- Semi-supervised Clustering via Pairwise Constrained Optimal GraphPoster
- Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence ModellingPoster
- Set and Rebase: Determining the Semantic Graph Connectivity for Unsupervised Cross-Modal HashingPoster
- SiamBOMB: A Real-time AI-based System for Home-cage Animal Tracking, Segmentation and Behavioral AnalysisPoster
- SimPropNet: Improved Similarity Propagation for Few-shot Image SegmentationPoster
- Simultaneous Arrival Matching for New Spatial Crowdsourcing PlatformsPoster
- Sinkhorn RegressionPoster
- Smart Contract Vulnerability Detection using Graph Neural NetworkPoster
- Smart VotingPoster
- Social Network Analysis using RLVECN: Representation Learning via Knowledge-Graph Embeddings and Convolutional Neural-NetworkPoster
- Social Ranking Manipulability for the CP-Majority, Banzhaf and Lexicographic Excellence SolutionsPoster
- Soft Threshold Ternary NetworksPoster
- Solving Analogies on Words based on Minimal Complexity TransformationPoster
- Solving Hard AI Planning Instances Using Curriculum-Driven Deep Reinforcement LearningPoster
- Sparse Tree Search Optimality Guarantees in POMDPs with Continuous Observation SpacesPoster
- Spatio-Temporal Change Detection Using Granger Sequence PatternPoster
- Spatiotemporal Super-Resolution with Cross-Task Consistency and Its Semi-supervised ExtensionPoster
- Specializing Word Embeddings (for Parsing) by Information Bottleneck (Extended Abstract)Poster
- Spectral Pruning: Compressing Deep Neural Networks via Spectral Analysis and its Generalization ErrorPoster
- Speeding Up Incomplete GDL-based Algorithms for Multi-agent Optimization with Dense Local UtilitiesPoster
- Speeding up Very Fast Decision Tree with Low Computational CostPoster
- Split to Be Slim: An Overlooked Redundancy in Vanilla ConvolutionPoster
- Stabilizing Adversarial Invariance Induction from Divergence Minimization PerspectivePoster
- Stable Matchings with Diversity Constraints: Affirmative Action is beyond NPPoster
- Stable Roommate Problem with Diversity PreferencesPoster
- State Variable Effects in Graphical Event ModelsPoster
- Statistical Learning with a Nuisance Component (Extended Abstract)Poster
- Steady-State Policy Synthesis in Multichain Markov Decision ProcessesPoster
- Stochastic Batch Augmentation with An Effective Distilled Dynamic Soft Label RegularizerPoster
- Story Embedding: Learning Distributed Representations of Stories based on Character Networks (Extended Abstract)Poster
- Strategic Campaign Management in Apportionment ElectionsPoster
- Strategies for Cooperative UAVs Using Model Predictive ControlPoster
- Strategyproof Mechanism for Two Heterogeneous Facilities with Constant Approximation RatioPoster
- Structured Probabilistic End-to-End Learning from CrowdsPoster
- Subgraph Isomorphism Meets Cutting Planes: Solving With Certified SolutionsPoster
- Super-Resolution and Inpainting with Degraded and Upgraded Generative Adversarial NetworksPoster
- Supporting Historical Photo Identification with Face Recognition and Crowdsourced Human Expertise (Extended Abstract)Poster
- Survey on Feature Transformation Techniques for Data StreamsPoster
- Swarm Intelligence for Self-Organized Clustering (Extended Abstract)Poster
- Switch-List Representations in a Knowledge Compilation MapPoster
- Switching Poisson Gamma Dynamical SystemsPoster
- Sybil-proof Answer Querying MechanismPoster
- Synthesis of Deceptive Strategies in Reachability Games with Action MisperceptionPoster
- Synthesizing Aspect-Driven Recommendation Explanations from ReviewsPoster
- Synthesizing strategies under expected and exceptional environment behaviorsPoster
- TLPG-Tracker: Joint Learning of Target Localization and Proposal Generation for Visual TrackingPoster
- TRP: Trained Rank Pruning for Efficient Deep Neural NetworksPoster
- Task-Based Learning via Task-Oriented Prediction Network with Applications in FinancePoster
- Task-Level Curriculum Learning for Non-Autoregressive Neural Machine TranslationPoster
- Teacher-Student Networks with Multiple Decoders for Solving Math Word ProblemPoster
- Temporal Adaptive Alignment Network for Deep Video InpaintingPoster
- Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure EvolutionPoster
- Tensor-based multi-view label enhancement for multi-label learningPoster
- Text Style Transfer via Learning Style Instance Supported Latent SpacePoster
- TextFuseNet: Scene Text Detection with Richer Fused FeaturesPoster
- Textual Membership QueriesPoster
- The Behavioral Sign of Account Theft: Realizing Online Payment Fraud AlertPoster
- The Blind Men and the Elephant: Integrated Offline/Online Optimization Under UncertaintyPoster
- The Competitive Effects of Variance-based PricingPoster
- The Complexity Landscape of Resource-Constrained SchedulingPoster
- The Complexity of Election Problems with Group-Separable PreferencesPoster
- The Computational Complexity of Angry Birds (Extended Abstract)Poster
- The Emerging Landscape of Explainable Automated Planning & Decision MakingPoster
- The Graph-based Mutual Attentive Network for Automatic DiagnosisPoster
- The Importance of the Test Set Size in Quantification AssessmentPoster
- The Knowledge Acquisition Bottleneck Problem in Multilingual Word Sense DisambiguationPoster
- The Sparse MinMax k-Means Algorithm for High-Dimensional ClusteringPoster
- Threshold Treewidth and Hypertree WidthPoster
- Tight Approximation for Proportional Approval VotingPoster
- Tight Convergence Rate of Gradient Descent for Eigenvalue ComputationPoster
- TopicKA: Generating Commonsense Knowledge-Aware Dialogue Responses Towards the Recommended Topic FactPoster
- TouIST: a Friendly Language for Propositional Logic and MorePoster
- Toward a neuro-inspired creative decoderPoster
- Towards Accurate and Robust Domain Adaptation under Noisy EnvironmentsPoster
- Towards Alleviating Traffic Congestion: Optimal Route Planning for Massive-Scale TripsPoster
- Towards Explainable Conversational RecommendationPoster
- Towards Fully 8-bit Integer Inference for the Transformer ModelPoster
- Towards High-Level Intrinsic Exploration in Reinforcement LearningPoster
- Towards Making the Most of Context in Neural Machine TranslationPoster
- Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler OptimizationPoster
- Towards Trustable Explainable AIPoster
- Towards a Hierarchical Bayesian Model of Multi-View Anomaly DetectionPoster
- Towards an Artificial Argumentation SystemPoster
- Tractable Fragments of Datalog with Metric Temporal OperatorsPoster
- Trade the System Efficiency for the Income Equality of Drivers in RidesharePoster
- Trading Plan Cost for Timeliness in Situated Temporal PlanningPoster
- Trajectory Similarity Learning with Auxiliary Supervision and Optimal MatchingPoster
- TransOMCS: From Linguistic Graphs to Commonsense KnowledgePoster
- TransRHS: A Representation Learning Method for Knowledge Graphs with Relation Hierarchical StructurePoster
- Transductive Relation-Propagation Network for Few-shot LearningPoster
- Transformers as Soft Reasoners over LanguagePoster
- Transparent Intent for Explainable Shared Control in Assistive RoboticsPoster
- Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial NetsPoster
- Triple-to-Text Generation with an Anchor-to-Prototype FrameworkPoster
- Turning 30: New Ideas in Inductive Logic ProgrammingPoster
- Two-Phase Hypergraph Based Reasoning with Dynamic Relations for Multi-Hop KBQAPoster
- Two-goal Local Search and Inference Rules for Minimum Dominating SetPoster
- Two-stage Behavior Cloning for Spoken Dialogue System in Debt CollectionPoster
- Understanding the Power and Limitations of Teaching with Imperfect KnowledgePoster
- Understanding the Success of Graph-based Semi-Supervised Learning using Partially Labelled Stochastic Block ModelPoster
- UniTrans : Unifying Model Transfer and Data Transfer for Cross-Lingual Named Entity Recognition with Unlabeled DataPoster
- Uniform Welfare Guarantees Under Identical Subadditive ValuationsPoster
- Unsatisfiability Proofs for Weight 16 Codewords in Lam's ProblemPoster
- Unsupervised Domain Adaptation of a Pretrained Cross-Lingual Language ModelPoster
- Unsupervised Domain Adaptation with Dual-Scheme Fusion Network for Medical Image SegmentationPoster
- Unsupervised Monocular Visual-inertial Odometry NetworkPoster
- Unsupervised Multilingual Alignment using Wasserstein BarycenterPoster
- Unsupervised Representation Learning by Predicting Random DistancesPoster
- Unsupervised Scene Adaptation with Memory Regularization in vivoPoster
- Unsupervised Vehicle Re-identification with Progressive AdaptationPoster
- User Modeling with Click Preference and Reading Satisfaction for News RecommendationPoster
- VAEP: An Objective Approach to Valuing On-the-Ball Actions in Soccer (Extended Abstract)Poster
- Variable Elimination in Binary CSPs (Extended Abstract)Poster
- Variational Bayes in Private Settings (VIPS) (Extended Abstract)Poster
- Variational Learning of Bayesian Neural Networks via Bayesian Dark KnowledgePoster
- Vector Autoregressive Weighting Reversion Strategy for Online Portfolio SelectionPoster
- Verifiable RNN-Based Policies for POMDPs Under Temporal Logic ConstraintsPoster
- Verifying Fault-Tolerance in Probabilistic Swarm SystemsPoster
- Vertex Weighting-Based Tabu Search for p-Center ProblemPoster
- Video Question Answering on Screencast TutorialsPoster
- Visual Encoding and Decoding of the Human Brain Based on Shared FeaturesPoster
- WATTNet: Learning to Trade FX via Hierarchical Spatio-Temporal Representation of Highly Multivariate Time SeriesPoster
- WEFE: The Word Embeddings Fairness Evaluation FrameworkPoster
- Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic EmbeddingsPoster
- Weakly Supervised Local-Global Relation Network for Facial Expression RecognitionPoster
- Weakly-Supervised Multi-view Multi-instance Multi-label LearningPoster
- Well-Structured CommitteesPoster
- When Do GNNs Work: Understanding and Improving Neighborhood AggregationPoster
- When Pedestrian Detection Meets Nighttime Surveillance: A New BenchmarkPoster
- When to Follow the Tip: Security Games with Strategic InformantsPoster
- Who Am I?: Towards Social Self-Awareness for Intelligent AgentsPoster
- Why We Go Where We Go: Profiling User Decisions on Choosing POIsPoster
- Xeggora: Exploiting Immune-to-Evidence Symmetries with Full Aggregation in Statistical Relational Models (Extended Abstract)Poster
- Yolo4Apnea: Real-time Detection of Obstructive Sleep ApneaPoster
- Zero-Shot Object Detection via Learning an Embedding from Semantic Space to Visual SpacePoster
- ``The Squawk Bot'': Joint Learning of Time Series and Text Data Modalities for Automated Financial Information FilteringPoster
- k-SDPP: Fixed-Size Video Summarization via Sequential Determinantal Point ProcessesPoster
- pbSGD: Powered Stochastic Gradient Descent Methods for Accelerated Non-Convex OptimizationPoster
IJCAI accepted papers in other years
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