Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..

International Joint Conference on Artificial Intelligence (IJCAI) - 2020

Documentation Rate of Empirical Papers by Reproducibility Variable

Distribution of Empirical Papers by Number of Documented Variables

Website:

Venue Year Papers
Reproducibility Score Reproducibility Score based on Gundersen et al. (2025). See Methods for details.
Documentation Score Documentation Score is the average score over the seven reproducibility variables for empirical research papers. See Methods for details.
% Empirical Percentage of papers that are empirical research vs theoretical research.
% Industry Percentage of empirical research papers with at least one author from Industry.
Website
IJCAI 2020 645 0.44 3.3 89.92% 35.52%
Pseudocode
Open Source Code
Open Datasets
Dataset Splits
Hardware Specification
Software Dependencies
Experiment Setup
A 3D Convolutional Approach to Spectral Object Segmentation in Space and Time 5
A Bi-level Formulation for Label Noise Learning with Spectral Cluster Discovery 4
A Complete Characterization of Projectivity for Statistical Relational Models 0
A Dataset Complexity Measure for Analogical Transfer 4
A De Novo Divide-and-Merge Paradigm for Acoustic Model Optimization in Automatic Speech Recognition 5
A Deep Reinforcement Learning Approach to Concurrent Bilateral Negotiation 1
A Dual Input-aware Factorization Machine for CTR Prediction 2
A Framework for Reasoning about Dynamic Axioms in Description Logics 1
A Fully Rational Account of Structured Argumentation Under Resource Bounds 0
A Game Theoretic Approach For Core Resilience 4
A Graph-based Interactive Reasoning for Human-Object Interaction Detection 3
A Graphical and Attentional Framework for Dual-Target Cross-Domain Recommendation 2
A Journey into Ontology Approximation: From Non-Horn to Horn 2
A Label Attention Model for ICD Coding from Clinical Text 3
A Logic of Directions 0
A Modal Logic for Joint Abilities under Strategy Commitments 1
A Multi-Objective Approach to Mitigate Negative Side Effects 2
A New Attention Mechanism to Classify Multivariate Time Series 4
A Novel Spatio-Temporal Multi-Task Approach for the Prediction of Diabetes-Related Complication: a Cardiopathy Case of Study 3
A Penny for Your Thoughts: The Value of Communication in Ad Hoc Teamwork 1
A Quantum-inspired Entropic Kernel for Multiple Financial Time Series Analysis 1
A Relation-Specific Attention Network for Joint Entity and Relation Extraction 4
A Sequential Convolution Network for Population Flow Prediction with Explicitly Correlation Modelling 2
A Similarity Inference Metric for RGB-Infrared Cross-Modality Person Re-identification 3
A Spatial Missing Value Imputation Method for Multi-view Urban Statistical Data 4
A Structured Latent Variable Recurrent Network With Stochastic Attention For Generating Weibo Comments 3
A Two-Stage Matheuristic Algorithm for Classical Inventory Routing Problem 5
A Two-level Reinforcement Learning Algorithm for Ambiguous Mean-variance Portfolio Selection Problem 2
A Unified Model for Financial Event Classification, Detection and Summarization 2
A Unified Model for the Two-stage Offline-then-Online Resource Allocation 3
Accelerating Stratified Sampling SGD by Reconstructing Strata 3
Achieving Outcome Fairness in Machine Learning Models for Social Decision Problems 3
Action-Guided Attention Mining and Relation Reasoning Network for Human-Object Interaction Detection 4
AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search 3
Adaptively Multi-Objective Adversarial Training for Dialogue Generation 3
Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks 3
Adversarial Mutual Information Learning for Network Embedding 3
Adversarial Oracular Seq2seq Learning for Sequential Recommendation 3
Aggregating Crowd Wisdom with Side Information via a Clustering-based Label-aware Autoencoder 4
All-Instances Oblivious Chase Termination is Undecidable for Single-Head Binary TGDs 0
Alleviate Dataset Shift Problem in Fine-grained Entity Typing with Virtual Adversarial Training 2
Almost Group Envy-free Allocation of Indivisible Goods and Chores 1
Altruism in Coalition Formation Games 0
An Algorithm for Multi-Attribute Diverse Matching 5
An Attention-based Model for Conversion Rate Prediction with Delayed Feedback via Post-click Calibration 1
An End-to-End Optimal Trade Execution Framework based on Proximal Policy Optimization 1
An Exact Single-Agent Task Selection Algorithm for the Crowdsourced Logistics 3
An Interactive Multi-Task Learning Framework for Next POI Recommendation with Uncertain Check-ins 5
An Iterative Multi-Source Mutual Knowledge Transfer Framework for Machine Reading Comprehension 5
An Online Learning Framework for Energy-Efficient Navigation of Electric Vehicles 3
Analysis of Q-learning with Adaptation and Momentum Restart for Gradient Descent 3
Answer Generation through Unified Memories over Multiple Passages 2
Answering Counting Queries over DL-Lite Ontologies 0
Approximate Pareto Set for Fair and Efficient Allocation: Few Agent Types or Few Resource Types 1
Approximate Weighted First-Order Model Counting: Exploiting Fast Approximate Model Counters and Symmetry 4
Arbitrary Talking Face Generation via Attentional Audio-Visual Coherence Learning 2
Argot: Generating Adversarial Readable Chinese Texts 3
Asking Effective and Diverse Questions: A Machine Reading Comprehension based Framework for Joint Entity-Relation Extraction 4
Assume-Guarantee Synthesis for Prompt Linear Temporal Logic 0
Asymmetric Distribution Measure for Few-shot Learning 4
AttAN: Attention Adversarial Networks for 3D Point Cloud Semantic Segmentation 4
Attention as Relation: Learning Supervised Multi-head Self-Attention for Relation Extraction 4
Attention-based Multi-level Feature Fusion for Named Entity Recognition 2
Automatic Dominance Breaking for a Class of Constraint Optimization Problems 5
Automatic Emergency Diagnosis with Knowledge-Based Tree Decoding 3
Automatic Synthesis of Generalized Winning Strategies of Impartial Combinatorial Games Using SMT Solvers 4
Auxiliary Template-Enhanced Generative Compatibility Modeling 2
BANANA: when Behavior ANAlysis meets social Network Alignment 1
BARNet: Bilinear Attention Network with Adaptive Receptive Fields for Surgical Instrument Segmentation 3
BERT-INT:A BERT-based Interaction Model For Knowledge Graph Alignment 3
BERT-PLI: Modeling Paragraph-Level Interactions for Legal Case Retrieval 4
BRPO: Batch Residual Policy Optimization 3
BaKer-Nets: Bayesian Random Kernel Mapping Networks 2
Balancing Individual Preferences and Shared Objectives in Multiagent Reinforcement Learning 4
Batch Decorrelation for Active Metric Learning 4
Bayesian Decision Process for Budget-efficient Crowdsourced Clustering 3
Bayesian Optimization using Pseudo-Points 3
Belief Merging Operators as Maximum Likelihood Estimators 0
Best Arm Identification in Spectral Bandits 2
Better AMR-To-Text Generation with Graph Structure Reconstruction 4
Beyond Network Pruning: a Joint Search-and-Training Approach 5
Bi-level Probabilistic Feature Learning for Deformable Image Registration 4
Biased Feature Learning for Occlusion Invariant Face Recognition 2
Biased Opinion Dynamics: When the Devil is in the Details 0
Bidirectional Adversarial Training for Semi-Supervised Domain Adaptation 4
Bilinear Graph Neural Network with Neighbor Interactions 4
Binary Classification from Positive Data with Skewed Confidence 3
Bipartite Encoding: A New Binary Encoding for Solving Non-Binary CSPs 4
BitcoinHeist: Topological Data Analysis for Ransomware Prediction on the Bitcoin Blockchain 4
Boolean Games: Inferring Agents' Goals Using Taxation Queries 2
Bottom-up and Top-down: Bidirectional Additive Net for Edge Detection 3
Boundary Extension Features for Width-Based Planning with Simulators on Continuous-State Domains 4
Bridging Cross-Tasks Gap for Cognitive Assessment via Fine-Grained Domain Adaptation 4
Budgeted Facility Location Games with Strategic Facilities 0
C3MM: Clique-Closure based Hyperlink Prediction 5
CDC: Classification Driven Compression for Bandwidth Efficient Edge-Cloud Collaborative Deep Learning 2
CDIMC-net: Cognitive Deep Incomplete Multi-view Clustering Network 3
CP-NAS: Child-Parent Neural Architecture Search for 1-bit CNNs 5
Can Cross Entropy Loss Be Robust to Label Noise? 2
Cause-Effect Association between Event Pairs in Event Datasets 3
Channel Pruning via Automatic Structure Search 4
Channel-Level Variable Quantization Network for Deep Image Compression 3
Characterizing Similarity of Visual Stimulus from Associated Neuronal Response 1
Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation 4
Class Prior Estimation in Active Positive and Unlabeled Learning 4
Classification with Rejection: Scaling Generative Classifiers with Supervised Deep Infomax 2
Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks 4
Co-Saliency Spatio-Temporal Interaction Network for Person Re-Identification in Videos 3
CoSDA-ML: Multi-Lingual Code-Switching Data Augmentation for Zero-Shot Cross-Lingual NLP 5
Collaboration Based Multi-Label Propagation for Fraud Detection 3
Collaborative Learning of Depth Estimation, Visual Odometry and Camera Relocalization from Monocular Videos 3
Collaborative Self-Attention Network for Session-based Recommendation 3
Coloring Graph Neural Networks for Node Disambiguation 2
Combinatorial Multi-Armed Bandits with Concave Rewards and Fairness Constraints 2
Combining Direct Trust and Indirect Trust in Multi-Agent Systems 1
Communicative Representation Learning on Attributed Molecular Graphs 5
Community-Centric Graph Convolutional Network for Unsupervised Community Detection 1
Competition Among Contests: a Safety Level Analysis 0
Complete Bottom-Up Predicate Invention in Meta-Interpretive Learning 4
Compressed Self-Attention for Deep Metric Learning with Low-Rank Approximation 2
Computational Aspects of Conditional Minisum Approval Voting in Elections with Interdependent Issues 1
Concentration of Distortion: The Value of Extra Voters in Randomized Social Choice 2
Concurrent Games in Dynamic Epistemic Logic 0
Cone Semantics for Logics with Negation 0
Consistent Domain Structure Learning and Domain Alignment for 2D Image-Based 3D Objects Retrieval 2
Consistent MetaReg: Alleviating Intra-task Discrepancy for Better Meta-knowledge 6
Constrained Policy Improvement for Efficient Reinforcement Learning 4
Contextualized Point-of-Interest Recommendation 4
Controllability of Control Argumentation Frameworks 6
Controlled Query Evaluation in Description Logics Through Instance Indistinguishability 1
Convexity of b-matching Games 1
Convolutional Neural Networks with Compression Complexity Pooling for Out-of-Distribution Image Detection 4
CooBa: Cross-project Bug Localization via Adversarial Transfer Learning 2
Cost-Partitioned Merge-and-Shrink Heuristics for Optimal Classical Planning 6
Counting Query Answers over a DL-Lite Knowledge Base 0
Cross-Interaction Hierarchical Attention Networks for Urban Anomaly Prediction 4
Cross-denoising Network against Corrupted Labels in Medical Image Segmentation with Domain Shift 5
Crowd-Steer: Realtime Smooth and Collision-Free Robot Navigation in Densely Crowded Scenarios Trained using High-Fidelity Simulation 2
Crowdsourcing with Multiple-Source Knowledge Transfer 3
DACE: Distribution-Aware Counterfactual Explanation by Mixed-Integer Linear Optimization 4
DAM: Deliberation, Abandon and Memory Networks for Generating Detailed and Non-repetitive Responses in Visual Dialogue 4
DIDFuse: Deep Image Decomposition for Infrared and Visible Image Fusion 4
Data-Driven Market-Making via Model-Free Learning 1
Dataless Short Text Classification Based on Biterm Topic Model and Word Embeddings 2
Decentralized MCTS via Learned Teammate Models 2
Decidability Results in First-Order Epistemic Planning 0
Decorrelated Clustering with Data Selection Bias 2
Deductive Module Extraction for Expressive Description Logics 5
Deep Feedback Network for Recommendation 2
Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation 4
Deep Interleaved Network for Single Image Super-Resolution with Asymmetric Co-Attention 1
Deep Latent Low-Rank Fusion Network for Progressive Subspace Discovery 4
Deep Learning for Abstract Argumentation Semantics 3
Deep Polarized Network for Supervised Learning of Accurate Binary Hashing Codes 4
Deep Semantic Compliance Advisor for Unstructured Document Compliance Checking 3
DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality Reduction 3
DeepWeave: Accelerating Job Completion Time with Deep Reinforcement Learning-based Coflow Scheduling 5
Delete- and Ordering-Relaxation Heuristics for HTN Planning 2
Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error 4
Diagnosing Software Faults Using Multiverse Analysis 5
Diagnosing the Environment Bias in Vision-and-Language Navigation 4
Dialogue State Induction Using Neural Latent Variable Models 5
Differential Privacy for Stackelberg Games 2
Diffusion Variational Autoencoders 3
Dinkelbach-Type Algorithm for Computing Quantal Stackelberg Equilibrium 4
Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks 5
Discovering Latent Class Labels for Multi-Label Learning 4
Discovering Subsequence Patterns for Next POI Recommendation 3
Discrete Biorthogonal Wavelet Transform Based Convolutional Neural Network for Atrial Fibrillation Diagnosis from Electrocardiogram 4
Discrete Embedding for Latent Networks 3
Discriminative Feature Selection via A Structured Sparse Subspace Learning Module 3
Disentangled Feature Learning Network for Vehicle Re-Identification 2
Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model 5
Disentangling Direct and Indirect Interactions in Polytomous Item Response Theory Models 2
Diversity of Solutions: An Exploration Through the Lens of Fixed-Parameter Tractability Theory 0
Domain Adaptation for Semantic Parsing 4
Domain Adaptive Classification on Heterogeneous Information Networks 4
Dress like an Internet Celebrity: Fashion Retrieval in Videos 2
DropNAS: Grouped Operation Dropout for Differentiable Architecture Search 5
Dual Policy Distillation 3
DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs 3
Dynamic Language Binding in Relational Visual Reasoning 2
E3SN: Efficient End-to-End Siamese Network for Video Object Segmentation 4
ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation 5
EViLBERT: Learning Task-Agnostic Multimodal Sense Embeddings 4
Early and Efficient Identification of Useless Constraint Propagation for Alldifferent Constraints 5
Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering 3
Efficient Algorithms for Learning Revenue-Maximizing Two-Part Tariffs 1
Efficient Community Search over Large Directed Graph: An Augmented Index-based Approach 4
Efficient Context-Aware Neural Machine Translation with Layer-Wise Weighting and Input-Aware Gating 3
Efficient Deep Reinforcement Learning via Adaptive Policy Transfer 4
Efficient and Robust High-Dimensional Linear Contextual Bandits 4
Embedding Conjugate Gradient in Learning Random Walks for Landscape Connectivity Modeling in Conservation 3
Embodied Multimodal Multitask Learning 3
EmoElicitor: An Open Domain Response Generation Model with User Emotional Reaction Awareness 4
End-to-End Transition-Based Online Dialogue Disentanglement 4
EndCold: An End-to-End Framework for Cold Question Routing in Community Question Answering Services 2
Enhancing Dialog Coherence with Event Graph Grounded Content Planning 4
Enhancing Urban Flow Maps via Neural ODEs 4
Enriching Documents with Compact, Representative, Relevant Knowledge Graphs 5
Entity Synonym Discovery via Multipiece Bilateral Context Matching 4
Ethics, Prosperity, and Society: Moral Evaluation Using Virtue Ethics and Utilitarianism 1
Euclidean Pathfinding with Compressed Path Databases 3
Evaluating Approval-Based Multiwinner Voting in Terms of Robustness to Noise 0
Evaluating Committees for Representative Democracies: the Distortion and Beyond 1
Evaluating Natural Language Generation via Unbalanced Optimal Transport 3
Evaluating and Aggregating Feature-based Model Explanations 1
Evidence-Aware Hierarchical Interactive Attention Networks for Explainable Claim Verification 3
Exemplar Guided Neural Dialogue Generation 3
Explainable Inference on Sequential Data via Memory-Tracking 4
Explainable Recommendation via Interpretable Feature Mapping and Evaluation of Explainability 3
Exploiting Mutual Information for Substructure-aware Graph Representation Learning 3
Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network 3
Exploiting Visual Semantic Reasoning for Video-Text Retrieval 3
Exploration Based Language Learning for Text-Based Games 3
Exploring Bilingual Parallel Corpora for Syntactically Controllable Paraphrase Generation 3
Exploring Parameter Space with Structured Noise for Meta-Reinforcement Learning 2
Extended Conjunctive Normal Form and An Efficient Algorithm for Cardinality Constraints 4
F-HMTC: Detecting Financial Events for Investment Decisions Based on Neural Hierarchical Multi-Label Text Classification 3
FNNC: Achieving Fairness through Neural Networks 3
Fair Division of Time: Multi-layered Cake Cutting 0
Fairness-Aware Neural Rényi Minimization for Continuous Features 2
FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces 4
Fast and Accurate Neural CRF Constituency Parsing 6
Fast and Parallel Decomposition of Constraint Satisfaction Problems 6
Feature Augmented Memory with Global Attention Network for VideoQA 2
Feature Statistics Guided Efficient Filter Pruning 4
Federated Meta-Learning for Fraudulent Credit Card Detection 3
Few-shot Human Motion Prediction via Learning Novel Motion Dynamics 2
Few-shot Visual Learning with Contextual Memory and Fine-grained Calibration 3
Fighting Wildfires under Uncertainty - A Sequential Resource Allocation Approach 2
FinBERT: A Pre-trained Financial Language Representation Model for Financial Text Mining 3
Financial Risk Analysis for SMEs with Graph-based Supply Chain Mining 1
Financial Risk Prediction with Multi-Round Q&A Attention Network 3
Financial Thought Experiment: A GAN-based Approach to Vast Robust Portfolio Selection 3
Fine-Grained View on Bribery for Group Identification 1
Flow-Based Network Creation Games 1
Flow-based Intrinsic Curiosity Module 2
Forecasting Avian Migration Patterns using a Deep Bidirectional RNN Augmented with an Auxiliary Task 3
Formal Query Building with Query Structure Prediction for Complex Question Answering over Knowledge Base 4
Formalizing Group and Propagated Trust in Multi-Agent Systems 3
Front-to-Front Heuristic Search for Satisficing Classical Planning 4
Fully Nested Neural Network for Adaptive Compression and Quantization 4
G2RL: Geometry-Guided Representation Learning for Facial Action Unit Intensity Estimation 5
GSM: Graph Similarity Model for Multi-Object Tracking 4
Gated POS-Level Language Model for Authorship Verification 5
Gaussian Embedding of Linked Documents from a Pretrained Semantic Space 6
General Purpose MRF Learning with Neural Network Potentials 4
Generalized Mean Estimation in Monte-Carlo Tree Search 3
Generalized Zero-Shot Text Classification for ICD Coding 4
Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement Learning 1
Generating Interpretable Poverty Maps using Object Detection in Satellite Images 4
Generating Person Images with Appearance-aware Pose Stylizer 3
Generating Reasonable Legal Text through the Combination of Language Modeling and Question Answering 4
Generating Robust Audio Adversarial Examples with Temporal Dependency 5
GestureDet: Real-time Student Gesture Analysis with Multi-dimensional Attention-based Detector 4
Global Structure and Local Semantics-Preserved Embeddings for Entity Alignment 3
GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions 4
Gradient Perturbation is Underrated for Differentially Private Convex Optimization 4
Graph Neural Architecture Search 6
GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension 4
GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage Classification 4
Greedy Convex Ensemble 4
Guided Generation of Cause and Effect 5
HAF-SVG: Hierarchical Stochastic Video Generation with Aligned Features 2
HID: Hierarchical Multiscale Representation Learning for Information Diffusion 6
Handling Black Swan Events in Deep Learning with Diversely Extrapolated Neural Networks 5
Harnessing Code Switching to Transcend the Linguistic Barrier 2
Hierarchical Attention Based Spatial-Temporal Graph-to-Sequence Learning for Grounded Video Description 3
Hierarchical Instance Feature Alignment for 2D Image-Based 3D Shape Retrieval 3
Hierarchical Linear Disentanglement of Data-Driven Conceptual Spaces 4
Hierarchical Matching Network for Heterogeneous Entity Resolution 4
Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction 3
Hierarchical Multi-task Learning for Organization Evaluation of Argumentative Student Essays 2
How Far are We from Effective Context Modeling? An Exploratory Study on Semantic Parsing in Context 4
Human Consensus-Oriented Image Captioning 3
Human-Driven FOL Explanations of Deep Learning 3
Hybrid Learning for Multi-agent Cooperation with Sub-optimal Demonstrations 4
Hype-HAN: Hyperbolic Hierarchical Attention Network for Semantic Embedding 2
HyperNews: Simultaneous News Recommendation and Active-Time Prediction via a Double-Task Deep Neural Network 3
Hypothesis Sketching for Online Kernel Selection in Continuous Kernel Space 5
I4R: Promoting Deep Reinforcement Learning by the Indicator for Expressive Representations 3
IGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational Data 3
IR-VIC: Unsupervised Discovery of Sub-goals for Transfer in RL 4
Implementing Theory of Mind on a Robot Using Dynamic Epistemic Logic 1
Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation 4
Improving Knowledge Tracing via Pre-training Question Embeddings 4
Improving Tandem Mass Spectra Analysis with Hierarchical Learning 3
Incentive-Compatible Diffusion Auctions 0
Inconsistency Measurement for Improving Logical Formula Clustering 0
Incorporating Failure Events in Agents’ Decision Making to Improve User Satisfaction 1
Independent Skill Transfer for Deep Reinforcement Learning 4
Individual Fairness Revisited: Transferring Techniques from Adversarial Robustness 2
Inductive Anomaly Detection on Attributed Networks 4
Inductive Link Prediction for Nodes Having Only Attribute Information 4
Inference-Masked Loss for Deep Structured Output Learning 4
Inferring Degrees from Incomplete Networks and Nonlinear Dynamics 2
Infobox-to-text Generation with Tree-like Planning based Attention Network 2
Infochain: A Decentralized, Trustless and Transparent Oracle on Blockchain 1
Intelligent Virtual Machine Provisioning in Cloud Computing 4
Intent Preference Decoupling for User Representation on Online Recommender System 3
Intention Progression under Uncertainty 3
Intention2Basket: A Neural Intention-driven Approach for Dynamic Next-basket Planning 3
Internal and Contextual Attention Network for Cold-start Multi-channel Matching in Recommendation 3
Interpretable Models for Understanding Immersive Simulations 1
Interpretable Multimodal Learning for Intelligent Regulation in Online Payment Systems 3
Inverse Reinforcement Learning for Team Sports: Valuing Actions and Players 3
Is the Skip Connection Provable to Reform the Neural Network Loss Landscape? 0
Iterative-Deepening Conflict-Based Search 5
I²HRL: Interactive Influence-based Hierarchical Reinforcement Learning 2
JANE: Jointly Adversarial Network Embedding 3
JPEG Artifacts Removal via Compression Quality Ranker-Guided Networks 3
Joint Multi-view 2D Convolutional Neural Networks for 3D Object Classification 3
Joint Partial Optimal Transport for Open Set Domain Adaptation 2
Joint Representation Learning of Legislator and Legislation for Roll Call Prediction 4
Joint Time-Frequency and Time Domain Learning for Speech Enhancement 3
KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction 5
Keeping Your Friends Close: Land Allocation with Friends 0
Knowledge Enhanced Event Causality Identification with Mention Masking Generalizations 5
Knowledge Graphs Enhanced Neural Machine Translation 4
Knowledge Hypergraphs: Prediction Beyond Binary Relations 4
Knowledge-Based Regularization in Generative Modeling 4
KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge 2
LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object Recognition 3
LSGCN: Long Short-Term Traffic Prediction with Graph Convolutional Networks 4
Label Distribution for Learning with Noisy Labels 4
Label Enhancement for Label Distribution Learning via Prior Knowledge 2
Label-Attended Hashing for Multi-Label Image Retrieval 4
Large Scale Audiovisual Learning of Sounds with Weakly Labeled Data 3
Latent Regularized Generative Dual Adversarial Network For Abnormal Detection 4
Learning Bayesian Networks Under Sparsity Constraints: A Parameterized Complexity Analysis 0
Learning Data-Driven Drug-Target-Disease Interaction via Neural Tensor Network 3
Learning From Multi-Dimensional Partial Labels 3
Learning Interpretable Models in the Property Specification Language 5
Learning Interpretable Representations with Informative Entanglements 2
Learning Large Logic Programs By Going Beyond Entailment 3
Learning Latent Forests for Medical Relation Extraction 4
Learning Model with Error -- Exposing the Hidden Model of BAYHENN 3
Learning Neural-Symbolic Descriptive Planning Models via Cube-Space Priors: The Voyage Home (to STRIPS) 5
Learning Optimal Decision Trees with MaxSAT and its Integration in AdaBoost 6
Learning Optimal Temperature Region for Solving Mixed Integer Functional DCOPs 3
Learning Personalized Itemset Mapping for Cross-Domain Recommendation 4
Learning Regional Attention Convolutional Neural Network for Motion Intention Recognition Based on EEG Data 3
Learning Sensitivity of RCPSP by Analyzing the Search Process 2
Learning Task-aware Local Representations for Few-shot Learning 5
Learning With Subquadratic Regularization : A Primal-Dual Approach 3
Learning and Solving Regular Decision Processes 1
Learning from Few Positives: a Provably Accurate Metric Learning Algorithm to Deal with Imbalanced Data 4
Learning from the Scene and Borrowing from the Rich: Tackling the Long Tail in Scene Graph Generation 4
Learning in the Wild with Incremental Skeptical Gaussian Processes 5
Learning the Compositional Visual Coherence for Complementary Recommendations 6
Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising 5
Learning to Complement Humans 4
Learning to Discretely Compose Reasoning Module Networks for Video Captioning 4
Learning with Labeled and Unlabeled Multi-Step Transition Data for Recovering Markov Chain from Incomplete Transition Data 2
Learning with Noise: Improving Distantly-Supervised Fine-grained Entity Typing via Automatic Relabeling 3
Leveraging Document-Level Label Consistency for Named Entity Recognition 5
Lexical-Constraint-Aware Neural Machine Translation via Data Augmentation 5
Lifelong Zero-Shot Learning 3
Lifted Hybrid Variational Inference 5
Location Prediction over Sparse User Mobility Traces Using RNNs: Flashback in Hidden States! 4
LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning 2
Logic Constrained Pointer Networks for Interpretable Textual Similarity 3
Logics of Allies and Enemies: A Formal Approach to the Dynamics of Social Balance Theory 1
Lower Bounds and Faster Algorithms for Equality Constraints 1
Lower Bounds for Approximate Knowledge Compilation 0
MAPS: Multi-Agent reinforcement learning-based Portfolio management System. 4
MLS3RDUH: Deep Unsupervised Hashing via Manifold based Local Semantic Similarity Structure Reconstructing 3
MR-GCN: Multi-Relational Graph Convolutional Networks based on Generalized Tensor Product 4
MULTIPOLAR: Multi-Source Policy Aggregation for Transfer Reinforcement Learning between Diverse Environmental Dynamics 3
MaCAR: Urban Traffic Light Control via Active Multi-agent Communication and Action Rectification 2
Market Manipulation: An Adversarial Learning Framework for Detection and Evasion 2
Marthe: Scheduling the Learning Rate Via Online Hypergradients 6
Maximizing Welfare with Incentive-Aware Evaluation Mechanisms 1
Maximizing the Spread of an Opinion in Few Steps: Opinion Diffusion in Non-Binary Networks 0
Maximum Nash Welfare and Other Stories About EFX 1
Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications 4
Mechanism Design for School Choice with Soft Diversity Constraints 2
Memory Augmented Neural Model for Incremental Session-based Recommendation 5
MergeNAS: Merge Operations into One for Differentiable Architecture Search 5
Meta Segmentation Network for Ultra-Resolution Medical Images 4
Metamorphic Testing and Certified Mitigation of Fairness Violations in NLP Models 3
Metric Learning in Optimal Transport for Domain Adaptation 5
Mixed-Variable Bayesian Optimization 3
Model-Based Synthesis of Incremental and Correct Estimators for Discrete Event Systems 2
Model-Free Real-Time Autonomous Energy Management for a Residential Multi-Carrier Energy System: A Deep Reinforcement Learning Approach 3
Model-theoretic Characterizations of Existential Rule Languages 0
Modeling Dense Cross-Modal Interactions for Joint Entity-Relation Extraction 3
Modeling Perception Errors towards Robust Decision Making in Autonomous Vehicles 2
Modeling Topical Relevance for Multi-Turn Dialogue Generation 5
Modeling Voting for System Combination in Machine Translation 4
Modeling the Stock Relation with Graph Network for Overnight Stock Movement Prediction 5
Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning 4
Monte-Carlo Tree Search for Scalable Coalition Formation 2
Motif-Preserving Temporal Network Embedding 2
MuLaN: Multilingual Label propagatioN for Word Sense Disambiguation 3
Mucko: Multi-Layer Cross-Modal Knowledge Reasoning for Fact-based Visual Question Answering 3
Multi-Channel Graph Neural Networks 3
Multi-Class Imbalanced Graph Convolutional Network Learning 4
Multi-Directional Heuristic Search 4
Multi-Feedback Bandit Learning with Probabilistic Contexts 1
Multi-Robot Adversarial Patrolling Strategies via Lattice Paths 0
Multi-Scale Group Transformer for Long Sequence Modeling in Speech Separation 4
Multi-Scale Spatial-Temporal Integration Convolutional Tube for Human Action Recognition 2
Multi-View Attribute Graph Convolution Networks for Clustering 2
Multi-View Joint Graph Representation Learning for Urban Region Embedding 4
Multi-attention Meta Learning for Few-shot Fine-grained Image Recognition 3
Multi-graph Fusion for Functional Neuroimaging Biomarker Detection 4
Multi-hop Reading Comprehension across Documents with Path-based Graph Convolutional Network 3
Multi-label Feature Selection via Global Relevance and Redundancy Optimization 4
Multi-scale Two-way Deep Neural Network for Stock Trend Prediction 3
Multichannel Color Image Denoising via Weighted Schatten p-norm Minimization 3
Multivariate Probability Calibration with Isotonic Bernstein Polynomials 3
Mutual Information Estimation using LSH Sampling 4
NLocalSAT: Boosting Local Search with Solution Prediction 6
Nearly Optimal Regret for Stochastic Linear Bandits with Heavy-Tailed Payoffs 2
Neighbor Combinatorial Attention for Critical Structure Mining 2
Network Schema Preserving Heterogeneous Information Network Embedding 3
NeurASP: Embracing Neural Networks into Answer Set Programming 4
Neural Abstractive Summarization with Structural Attention 5
Neural Belief Reasoner 3
Neural Entity Summarization with Joint Encoding and Weak Supervision 4
Neural Machine Translation with Error Correction 5
Neural Representation and Learning of Hierarchical 2-additive Choquet Integrals 4
Neural Tensor Model for Learning Multi-Aspect Factors in Recommender Systems 3
Non-Autoregressive Image Captioning with Counterfactuals-Critical Multi-Agent Learning 4
Non-monotone DR-submodular Maximization over General Convex Sets 3
NuCDS: An Efficient Local Search Algorithm for Minimum Connected Dominating Set 4
Object-Aware Multi-Branch Relation Networks for Spatio-Temporal Video Grounding 3
On Computational Aspects of Iterated Belief Change 3
On Deep Unsupervised Active Learning 3
On Irrelevant Literals in Pseudo-Boolean Constraint Learning 4
On Metric DBSCAN with Low Doubling Dimension 4
On Robustness in Qualitative Constraint Networks 4
On the Complexity of Winner Verification and Candidate Winner for Multiwinner Voting Rules 0
On the Decidability of Intuitionistic Tense Logic without Disjunction 0
On the Enumeration of Association Rules: A Decomposition-based Approach 5
On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation Classification 5
On the Learnability of Possibilistic Theories 0
One-Shot Neural Architecture Search via Novelty Driven Sampling 5
Online Portfolio Selection with Cardinality Constraint and Transaction Costs based on Contextual Bandit 3
Online Positive and Unlabeled Learning 4
Online Revenue Maximization for Server Pricing 0
Online Semi-supervised Multi-label Classification with Label Compression and Local Smooth Regression 3
Only Relevant Information Matters: Filtering Out Noisy Samples To Boost RL 3
Opinion Maximization in Social Trust Networks 5
Optimal Complex Task Assignment in Service Crowdsourcing 2
Optimal Margin Distribution Machine for Multi-Instance Learning 4
Optimal Planning Modulo Theories 6
Optimal Policy for Deployment of Machine Learning Models on Energy-Bounded Systems 4
Optimal Region Search with Submodular Maximization 4
Optimal and Non-Discriminative Rehabilitation Program Design for Opioid Addiction Among Homeless Youth 4
Optimality, Accuracy, and Efficiency of an Exact Functional Test 4
Optimising Partial-Order Plans Via Action Reinstantiation 4
Order-Dependent Event Models for Agent Interactions 4
Overcoming Language Priors with Self-supervised Learning for Visual Question Answering 4
Overcoming the Grounding Bottleneck Due to Constraints in ASP Solving: Constraints Become Propagators 5
Overflow Aware Quantization: Accelerating Neural Network Inference by Low-bit Multiply-Accumulate Operations 4
P-KDGAN: Progressive Knowledge Distillation with GANs for One-class Novelty Detection 5
Partial Adversarial Behavior Deception in Security Games 1
Partial Multi-Label Learning via Multi-Subspace Representation 3
Participatory Budgeting with Project Interactions 0
Pay Attention to Devils: A Photometric Stereo Network for Better Details 3
Peer-Prediction in the Presence of Outcome Dependent Lying Incentives 2
PeerNomination: Relaxing Exactness for Increased Accuracy in Peer Selection 3
Performance as a Constraint: An Improved Wisdom of Crowds Using Performance Regularization 2
PewLSTM: Periodic LSTM with Weather-Aware Gating Mechanism for Parking Behavior Prediction 3
Phishing Scam Detection on Ethereum: Towards Financial Security for Blockchain Ecosystem 4
Pitfalls of Learning a Reward Function Online 1
Pivot-based Maximal Biclique Enumeration 4
Plan-Space Explanation via Plan-Property Dependencies: Faster Algorithms & More Powerful Properties 3
Polar Relative Positional Encoding for Video-Language Segmentation 2
Position-Aware Recalibration Module: Learning From Feature Semantics and Feature Position 5
Positive Unlabeled Learning with Class-prior Approximation 3
Potential Driven Reinforcement Learning for Hard Exploration Tasks 3
Predicting Landslides Using Locally Aligned Convolutional Neural Networks 5
Privileged label enhancement with multi-label learning 4
Progressive Domain-Independent Feature Decomposition Network for Zero-Shot Sketch-Based Image Retrieval 2
Prophet Inequalities for Bayesian Persuasion 1
Proportionality in Approval-Based Elections With a Variable Number of Winners 0
Provenance for the Description Logic ELHr 1
Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization 3
Quadratic Sparse Gaussian Graphical Model Estimation Method for Massive Variables 5
Query Answering for Existential Rules via Efficient Datalog Rewriting 4
RDF-to-Text Generation with Graph-augmented Structural Neural Encoders 4
RECPARSER: A Recursive Semantic Parsing Framework for Text-to-SQL Task 3
RM-CVaR: Regularized Multiple β-CVaR Portfolio 4
Randomised Gaussian Process Upper Confidence Bound for Bayesian Optimisation 4
Ranking Semantics for Argumentation Systems With Necessities 0
Real-Time Dispatching of Large-Scale Ride-Sharing Systems: Integrating Optimization, Machine Learning, and Model Predictive Control 4
Real-World Automatic Makeup via Identity Preservation Makeup Net 3
Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning 3
Rebalancing Expanding EV Sharing Systems with Deep Reinforcement Learning 4
Recovering Accurate Labeling Information from Partially Valid Data for Effective Multi-Label Learning 4
Recurrent Dirichlet Belief Networks for interpretable Dynamic Relational Data Modelling 2
Recurrent Relational Memory Network for Unsupervised Image Captioning 2
Reducing Underflow in Mixed Precision Training by Gradient Scaling 6
Reference Guided Face Component Editing 3
Reinforcement Learning Framework for Deep Brain Stimulation Study 2
Reinforcement Learning with Dynamic Boltzmann Softmax Updates 3
Relation-Aware Transformer for Portfolio Policy Learning 4
Relation-Based Counterfactual Explanations for Bayesian Network Classifiers 1
Retrieve, Program, Repeat: Complex Knowledge Base Question Answering via Alternate Meta-learning 5
Revisiting the Notion of Extension over Incomplete Abstract Argumentation Frameworks 1
Reward Prediction Error as an Exploration Objective in Deep RL 3
Rewriting the Description Logic ALCHIQ to Disjunctive Existential Rules 1
Risk Guarantee Prediction in Networked-Loans 2
Risk-Averse Trust Region Optimization for Reward-Volatility Reduction 2
Robust Front-End for Multi-Channel ASR using Flow-Based Density Estimation 4
Robust Market Making via Adversarial Reinforcement Learning 2
Robust Policy Synthesis for Uncertain POMDPs via Convex Optimization 4
Robustness Computation of Dynamic Controllability in Probabilistic Temporal Networks with Ordinary Distributions 3
Robustness of Autoencoders for Anomaly Detection Under Adversarial Impact 3
Rumor Detection on Social Media with Graph Structured Adversarial Learning 4
SBAT: Video Captioning with Sparse Boundary-Aware Transformer 2
SEBF: A Single-Chain based Extension Model of Blockchain for Fintech 5
SI-VDNAS: Semi-Implicit Variational Dropout for Hierarchical One-shot Neural Architecture Search 5
SVRG for Policy Evaluation with Fewer Gradient Evaluations 3
Scalable Gaussian Process Regression Networks 4
Scaling Up AND/OR Abstraction Sampling 4
SceneEncoder: Scene-Aware Semantic Segmentation of Point Clouds with A Learnable Scene Descriptor 4
SelectScale: Mining More Patterns from Images via Selective and Soft Dropout 3
Selecting Voting Locations for Fun and Profit 0
Self-Attentional Credit Assignment for Transfer in Reinforcement Learning 2
Self-Guided Evolution Strategies with Historical Estimated Gradients 3
Self-Supervised Gait Encoding with Locality-Aware Attention for Person Re-Identification 4
Self-Supervised Tuning for Few-Shot Segmentation 2
Self-adaptive Re-weighted Adversarial Domain Adaptation 2
Self-paced Consensus Clustering with Bipartite Graph 3
Self-supervised Monocular Depth and Visual Odometry Learning with Scale-consistent Geometric Constraints 3
Semantic Width and the Fixed-Parameter Tractability of Constraint Satisfaction Problems 0
Semi-Dynamic Hypergraph Neural Network for 3D Pose Estimation 3
Semi-Markov Reinforcement Learning for Stochastic Resource Collection 4
Semi-supervised Clustering via Pairwise Constrained Optimal Graph 3
Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling 6
Set and Rebase: Determining the Semantic Graph Connectivity for Unsupervised Cross-Modal Hashing 3
SimPropNet: Improved Similarity Propagation for Few-shot Image Segmentation 3
Simultaneous Arrival Matching for New Spatial Crowdsourcing Platforms 4
Sinkhorn Regression 4
Smart Contract Vulnerability Detection using Graph Neural Network 0
Smart Voting 1
Social Ranking Manipulability for the CP-Majority, Banzhaf and Lexicographic Excellence Solutions 1
Soft Threshold Ternary Networks 2
Solving Analogies on Words based on Minimal Complexity Transformation 4
Solving Hard AI Planning Instances Using Curriculum-Driven Deep Reinforcement Learning 2
Sparse Tree Search Optimality Guarantees in POMDPs with Continuous Observation Spaces 3
Spatiotemporal Super-Resolution with Cross-Task Consistency and Its Semi-supervised Extension 4
Spectral Pruning: Compressing Deep Neural Networks via Spectral Analysis and its Generalization Error 2
Speeding Up Incomplete GDL-based Algorithms for Multi-agent Optimization with Dense Local Utilities 2
Speeding up Very Fast Decision Tree with Low Computational Cost 5
Split to Be Slim: An Overlooked Redundancy in Vanilla Convolution 4
Stabilizing Adversarial Invariance Induction from Divergence Minimization Perspective 4
Stable Matchings with Diversity Constraints: Affirmative Action is beyond NP 0
Stable Roommate Problem with Diversity Preferences 0
State Variable Effects in Graphical Event Models 2
Steady-State Policy Synthesis in Multichain Markov Decision Processes 4
Stochastic Batch Augmentation with An Effective Distilled Dynamic Soft Label Regularizer 5
Strategic Campaign Management in Apportionment Elections 1
Strategyproof Mechanism for Two Heterogeneous Facilities with Constant Approximation Ratio 1
Structured Probabilistic End-to-End Learning from Crowds 2
Subgraph Isomorphism Meets Cutting Planes: Solving With Certified Solutions 4
Super-Resolution and Inpainting with Degraded and Upgraded Generative Adversarial Networks 2
Switch-List Representations in a Knowledge Compilation Map 0
Switching Poisson Gamma Dynamical Systems 3
Sybil-proof Answer Querying Mechanism 0
Synthesis of Deceptive Strategies in Reachability Games with Action Misperception 1
Synthesizing Aspect-Driven Recommendation Explanations from Reviews 5
Synthesizing strategies under expected and exceptional environment behaviors 0
TLPG-Tracker: Joint Learning of Target Localization and Proposal Generation for Visual Tracking 3
TRP: Trained Rank Pruning for Efficient Deep Neural Networks 4
Task-Based Learning via Task-Oriented Prediction Network with Applications in Finance 3
Task-Level Curriculum Learning for Non-Autoregressive Neural Machine Translation 4
Teacher-Student Networks with Multiple Decoders for Solving Math Word Problem 4
Temporal Adaptive Alignment Network for Deep Video Inpainting 3
Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution 4
Tensor-based multi-view label enhancement for multi-label learning 3
Text Style Transfer via Learning Style Instance Supported Latent Space 5
TextFuseNet: Scene Text Detection with Richer Fused Features 3
Textual Membership Queries 4
The Behavioral Sign of Account Theft: Realizing Online Payment Fraud Alert 1
The Competitive Effects of Variance-based Pricing 0
The Complexity Landscape of Resource-Constrained Scheduling 0
The Complexity of Election Problems with Group-Separable Preferences 0
The Graph-based Mutual Attentive Network for Automatic Diagnosis 1
The Importance of the Test Set Size in Quantification Assessment 5
The Sparse MinMax k-Means Algorithm for High-Dimensional Clustering 2
Threshold Treewidth and Hypertree Width 4
Tight Approximation for Proportional Approval Voting 0
Tight Convergence Rate of Gradient Descent for Eigenvalue Computation 2
TopicKA: Generating Commonsense Knowledge-Aware Dialogue Responses Towards the Recommended Topic Fact 4
Toward a neuro-inspired creative decoder 3
Towards Accurate and Robust Domain Adaptation under Noisy Environments 4
Towards Alleviating Traffic Congestion: Optimal Route Planning for Massive-Scale Trips 3
Towards Explainable Conversational Recommendation 3
Towards Fully 8-bit Integer Inference for the Transformer Model 5
Towards Making the Most of Context in Neural Machine Translation 3
Towards a Hierarchical Bayesian Model of Multi-View Anomaly Detection 3
Tractable Fragments of Datalog with Metric Temporal Operators 0
Trade the System Efficiency for the Income Equality of Drivers in Rideshare 3
Trading Plan Cost for Timeliness in Situated Temporal Planning 1
Trajectory Similarity Learning with Auxiliary Supervision and Optimal Matching 4
TransOMCS: From Linguistic Graphs to Commonsense Knowledge 3
TransRHS: A Representation Learning Method for Knowledge Graphs with Relation Hierarchical Structure 3
Transductive Relation-Propagation Network for Few-shot Learning 3
Transformers as Soft Reasoners over Language 3
Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets 3
Triple-to-Text Generation with an Anchor-to-Prototype Framework 3
Two-Phase Hypergraph Based Reasoning with Dynamic Relations for Multi-Hop KBQA 2
Two-goal Local Search and Inference Rules for Minimum Dominating Set 4
Two-stage Behavior Cloning for Spoken Dialogue System in Debt Collection 1
Understanding the Power and Limitations of Teaching with Imperfect Knowledge 3
Understanding the Success of Graph-based Semi-Supervised Learning using Partially Labelled Stochastic Block Model 3
UniTrans : Unifying Model Transfer and Data Transfer for Cross-Lingual Named Entity Recognition with Unlabeled Data 3
Uniform Welfare Guarantees Under Identical Subadditive Valuations 1
Unsatisfiability Proofs for Weight 16 Codewords in Lam's Problem 4
Unsupervised Domain Adaptation of a Pretrained Cross-Lingual Language Model 3
Unsupervised Domain Adaptation with Dual-Scheme Fusion Network for Medical Image Segmentation 2
Unsupervised Monocular Visual-inertial Odometry Network 4
Unsupervised Multilingual Alignment using Wasserstein Barycenter 3
Unsupervised Representation Learning by Predicting Random Distances 3
Unsupervised Scene Adaptation with Memory Regularization in vivo 4
Unsupervised Vehicle Re-identification with Progressive Adaptation 2
User Modeling with Click Preference and Reading Satisfaction for News Recommendation 3
Variational Learning of Bayesian Neural Networks via Bayesian Dark Knowledge 4
Vector Autoregressive Weighting Reversion Strategy for Online Portfolio Selection 0
Verifiable RNN-Based Policies for POMDPs Under Temporal Logic Constraints 3
Verifying Fault-Tolerance in Probabilistic Swarm Systems 4
Vertex Weighting-Based Tabu Search for p-Center Problem 5
Video Question Answering on Screencast Tutorials 4
Visual Encoding and Decoding of the Human Brain Based on Shared Features 4
WATTNet: Learning to Trade FX via Hierarchical Spatio-Temporal Representation of Highly Multivariate Time Series 4
WEFE: The Word Embeddings Fairness Evaluation Framework 2
Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Embeddings 3
Weakly Supervised Local-Global Relation Network for Facial Expression Recognition 3
Weakly-Supervised Multi-view Multi-instance Multi-label Learning 2
Well-Structured Committees 0
When Do GNNs Work: Understanding and Improving Neighborhood Aggregation 4
When Pedestrian Detection Meets Nighttime Surveillance: A New Benchmark 2
When to Follow the Tip: Security Games with Strategic Informants 3
Who Am I?: Towards Social Self-Awareness for Intelligent Agents 1
Why We Go Where We Go: Profiling User Decisions on Choosing POIs 3
Zero-Shot Object Detection via Learning an Embedding from Semantic Space to Visual Space 2
``The Squawk Bot'': Joint Learning of Time Series and Text Data Modalities for Automated Financial Information Filtering 3
k-SDPP: Fixed-Size Video Summarization via Sequential Determinantal Point Processes 2
pbSGD: Powered Stochastic Gradient Descent Methods for Accelerated Non-Convex Optimization 3