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An Algorithm for Multi-Attribute Diverse Matching

When to Follow the Tip: Security Games with Strategic Informants

PeerNomination: Relaxing Exactness for Increased Accuracy in Peer Selection

Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning

Achieving Outcome Fairness in Machine Learning Models for Social Decision

Channel-Level Variable Quantization Network for Deep Image Compression

EViLBERT: Learning Task-Agnostic Multimodal Sense Embeddings

When Pedestrian Detection Meets Nighttime Surveillance: A New Benchmark

EViLBERT: Learning Task-Agnostic Multimodal Sense Embeddings

When Pedestrian Detection Meets Nighttime Surveillance: A New Benchmark

Learning from the Scene and Borrowing from the Rich: Tackling the Long Tail in Scene Graph Generation

Spatiotemporal Super-Resolution with Cross-Task Consistency and its Semi-supervised Extension

Generating Person Images with Appearance-aware Pose Stylizer

Channel Pruning via Automatic Structure Search

DAM: Deliberation, Abandon and Memory Networks for Generating Detailed and Non-repetitive Responses in Visual Dialogue

Learning Task-aware Local Representations for Few-shot Learning

Visual Encoding and Decoding of the Human Brain Based on Shared Features

Learning to Discretely Compose Reasoning Module Networks for Video Captioning

Position-Aware Recalibration Module: Learning From Feature Semantics and Feature Position

Diagnosing the Environment Bias in Vision-and-Language Navigation

Self-Supervised Gait Encoding with Locality-Aware Attention for Person Re-Identification

Label-Attended Hashing for Multi-Label Image Retrieval

Unsupervised Scene Adaptation with Memory Regularization in vivo

Overcoming Language Priors with Self-supervised Learning for Visual Question Answering

Mucko: Multi-Layer Cross-Modal Knowledge Reasoning for Fact-based Visual Question Answering

Subgraph Isomorphism Meets Cutting Planes: Solving With Certified Solutions

Fast and Parallel Decomposition of Constraint Satisfaction Problems

Learning Optimal Decision Trees with MaxSAT and its Integration in AdaBoost

NLocalSAT: Boosting Local Search with Solution Prediction

Automatic Dominance Breaking for a Class of Constraint Optimization Problems

GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension

Opinion Maximization in Social Trust Networks

On the Enumeration of Association Rules: A Decomposition-based Approach

Speeding up Very Fast Decision Tree with Low Computational Cost

When Do GNNs Work: Understanding and Improving Neighborhood Aggregation

A Spatial Missing Value Imputation Method for Multi-view Urban Statistical Data

GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions

GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage Classification

Rebalancing Expanding EV Sharing Systems with Deep Reinforcement Learning

Network Schema Preserving Heterogeneous Information Network Embedding

Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation

Domain Adaptive Classification on Heterogeneous Information Networks

Graph Neural Architecture Search

Joint Representation Learning of Legislator and Legislation for Roll Call Prediction

Entity Synonym Discovery via Multipiece Bilateral Context Matching

Aggregating Crowd Wisdom with Side Information via a Clustering-based Label-aware Autoencoder

Improving Knowledge Tracing via Pre-training Question Embeddings

Neural Entity Summarization with Joint Encoding and Weak Supervision

Deep Learning for Abstract Argumentation Semantics

Overcoming the Grounding Bottleneck Due to Constraints in ASP Solving: Constraints Become Propagators

NeurASP: Embracing Neural Networks into Answer Set Programming

Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning

Query Answering for Existential Rules via Efficient Datalog Rewriting

A New Attention Mechanism to Classify Multivariate Time Series

IR-VIC: Unsupervised Discovery of Sub-goals for Transfer in RL

Potential Driven Reinforcement Learning for Hard Exploration Tasks

Marthe: Scheduling the Learning Rate Via Online Hypergradients

Handling Black Swan Events in Deep Learning with Diversely Extrapolated Neural Networks

Non-monotone DR-submodular Maximization over General Convex Sets

Learning from Few Positives: a Provably Accurate Metric Learning Algorithm to Deal with Imbalanced Data

Metric Learning in Optimal Transport for Domain Adaptation

Memory Augmented Neural Model for Incremental Session-based Recommendation

Non-monotone DR-submodular Maximization over General Convex Sets

Location Prediction over Sparse User Mobility Traces Using RNNs: Flashback in Hidden States!

Knowledge Hypergraphs: Prediction Beyond Binary Relations

Learning Interpretable Models in the Property Specification Language

Fairness-Aware Neural Rényi Minimization for Continuous Features

Towards Accurate and Robust Domain Adaptation under Noisy Environments

Randomised Gaussian Process Upper Confidence Bound for Bayesian Optimisation

DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality Reduction

Complete Bottom-Up Predicate Invention in Meta-Interpretive Learning

DropNAS: Grouped Operation Dropout for Differentiable Architecture Search

Logic Constrained Pointer Networks for Interpretable Textual Similarity

Convolutional Neural Networks with Compression Complexity Pooling for Out-of-Distribution Image Detection

Multi-label Feature Selection via Global Relevance and Redundancy Optimization

Deep Feedback Network for Recommendation

Mixed-Variable Bayesian Optimization

I4R: Promoting Deep Reinforcement Learning by the Indicator for Expressive Representations

Optimality, Accuracy, and Efficiency of an Exact Functional Test

Explainable Recommendation via Interpretable Feature Mapping and Evaluation of Explainability

SVRG for Policy Evaluation with Fewer Gradient Evaluations

Diffusion Variational Autoencoders

Consistent MetaReg: Alleviating Intra-task Discrepancy for Better Meta-knowledge

Internal and Contextual Attention Network for Cold-start Multi-channel Matching in Recommendation

Inference-Masked Loss for Deep Structured Output Learning

General Purpose MRF Learning with Neural Network Potentials

Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications

Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution

Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network

Mutual Information Estimation using LSH Sampling

Reinforcement Learning Framework for Deep Brain Stimulation Study

Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling

Independent Skill Transfer for Deep Reinforcement Learning

Class Prior Estimation in Active Positive and Unlabeled Learning

Unsupervised Representation Learning by Predicting Random Distances

Asymmetric Distribution Measure for Few-shot Learning

Discriminative Feature Selection via A Structured Sparse Subspace Learning Module

User Modeling with Click Preference and Reading Satisfaction for News Recommendation

RDF-to-Text Generation with Graph-augmented Structural Neural Encoders

Efficient Deep Reinforcement Learning via Adaptive Policy Transfer

Greedy Convex Ensemble

Dual Policy Distillation

BERT-INT:A BERT-based Interaction Model For Knowledge Graph Alignment

One-Shot Neural Architecture Search via Novelty Driven Sampling

Trajectory Similarity Learning with Auxiliary Supervision and Optimal Matching

Predicting Landslides Using Locally Aligned Convolutional Neural Networks

Inverse Reinforcement Learning for Team Sports: Valuing Actions and Players

C3MM: Clique-Closure based Hyperlink Prediction

HID: Hierarchical Multiscale Representation Learning for Information Diffusion

BERT-PLI: Modeling Paragraph-Level Interactions for Legal Case Retrieval

An Interactive Multi-Task Learning Framework for Next POI Recommendation with Uncertain Check-ins

Hierarchical Linear Disentanglement of Data-Driven Conceptual Spaces

How Far are We from Effective Context Modeling? An Exploratory Study on Semantic Parsing in Context

Knowledge Enhanced Event Causality Identification with Mention Masking Generalizations

EmoElicitor: An Open Domain Response Generation Model with User Emotional Reaction Awareness

Learning Latent Forests for Medical Relation Extraction

Formal Query Building with Query Structure Prediction for Complex Question Answering over Knowledge Base

TopicKA: Generating Commonsense Knowledge-Aware Dialogue Responses Towards the Recommended Topic Fact

An Iterative Multi-Source Mutual Knowledge Transfer Framework for Machine Reading Comprehension

On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation Classification

MuLaN: Multilingual Label propagatioN for Word Sense Disambiguation

Dialogue State Induction Using Neural Latent Variable Models

CoSDA-ML: Multi-Lingual Code-Switching Data Augmentation for Zero-Shot Cross-Lingual NLP

Transformers as Soft Reasoners over Language

Neural Machine Translation with Error Correction

Better AMR-To-Text Generation with Graph Structure Reconstruction

Asking Effective and Diverse Questions: A Machine Reading Comprehension based Framework for Joint Entity-Relation Extraction

Leveraging Document-Level Label Consistency for Named Entity Recognition

Fast and Accurate Neural CRF Constituency Parsing

Sparse Tree Search Optimality Guarantees in POMDPs with Continuous Observation Spaces

Boundary Extension Features for Width-Based Planning with Simulators on Continuous-State Domains

Lifted Hybrid Variational Inference

Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks

PewLSTM: Periodic LSTM with Weather-Aware Gating Mechanism for Parking Behavior Prediction

Multi-View Joint Graph Representation Learning for Urban Region Embedding

F-HMTC: Detecting Financial Events for Investment Decisions Based on Neural Hierarchical Multi-Label Text Classification

Modeling the Stock Relation with Graph Network for Overnight Stock Movement Prediction

Multi-scale Two-way Deep Neural Network for Stock Trend Prediction

Robust Market Making via Adversarial Reinforcement Learning

VAEP: An Objective Approach to Valuing On-the-Ball Actions in Soccer (Extended Abstract)

Playing Atari with Six Neurons (Extended Abstract)

Bridging the Gap between Training and Inference for Neural Machine Translation

Heterogeneous Network Representation Learning

Beyond Intra-modality: A Survey of Heterogeneous Person Re-identification

Variational Bayes in Private Settings (VIPS) (Extended Abstract)

Compositionality Decomposed: How do Neural Networks Generalise? (Extended Abstract)

Swarm Intelligence for Self-Organized Clustering (Extended Abstract)

Learning Sparse Neural Networks for Better Generalization

PyDL8.5: a Library for Learning Optimal Decision Trees

Efficient and Modularized Training on FPGA for Real-time Applications

Ddo, a Generic and Efficient Framework for MDD-Based Optimization

AILA: A Question Answering System in the Legal Domain

An Interactive Visualization Platform for Deep Symbolic Regression

AI-Powered Oracle Bone Inscriptions Recognition and Fragments Rejoining