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IJCAI2021.md

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Dialogue Discourse-Aware Graph Model and Data Augmentation for Meeting Summarization

Dialogue Disentanglement in Software Engineering: How Far are We?

Consistent Inference for Dialogue Relation Extraction

A Structure Self-Aware Model for Discourse Parsing on Multi-Party Dialogues

Knowledge-Aware Dialogue Generation via Hierarchical Infobox Accessing and Infobox-Dialogue Interaction Graph Network

Focus on Interaction: A Novel Dynamic Graph Model for Joint Multiple Intent Detection and Slot Filling

Cross-Domain Slot Filling as Machine Reading Comprehension

Learning Class-Transductive Intent Representations for Zero-shot Intent Detection

Approximating the Shapley Value Using Stratified Empirical Bernstein Sampling

Identifying Norms from Observation Using MCMC Sampling

Multi-Agent Intention Progression with Black-Box Agents

Data-Driven Methods for Balancing Fairness and Efficiency in Ride-Pooling

Learning with Generated Teammates to Achieve Type-Free Ad-Hoc Teamwork

Addressing the Long-term Impact of ML Decisions via Policy Regret

Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models

Explaining Self-Supervised Image Representations with Visual Probing

Themis: A Fair Evaluation Platform for Computer Vision Competitions

Leveraging Human Attention in Novel Object Captioning

Phonovisual Biases in Language: is the Lexicon Tied to the Visual World?

Feature Space Targeted Attacks by Statistic Alignment

Learning Spectral Dictionary for Local Representation of Mesh

EventDrop: Data Augmentation for Event-based Learning

AdaVQA: Overcoming Language Priors with Adapted Margin Cosine Loss

Disentangled Face Attribute Editing via Instance-Aware Latent Space Search

AgeFlow: Conditional Age Progression and Regression with Normalizing Flows

Perturb, Predict & Paraphrase: Semi-Supervised Learning using Noisy Student for Image Captioning

Deep Automatic Natural Image Matting

Medical Image Segmentation using Squeeze-and-Expansion Transformers

PIANO: A Parametric Hand Bone Model from Magnetic Resonance Imaging

Instance-Aware Coherent Video Style Transfer for Chinese Ink Wash Painting

Graph Consistency Based Mean-Teaching for Unsupervised Domain Adaptive Person Re-Identification

Self-boosting for Feature Distillation

Unsupervised Hashing with Contrastive Information Bottleneck

Adaptive Edge Attention for Graph Matching with Outliers

Multi-Level Graph Encoding with Structural-Collaborative Relation Learning for Skeleton-Based Person Re-Identification

Towards Unsupervised Deformable-Instances Image-to-Image Translation

Speech2Talking-Face: Inferring and Driving a Face with Synchronized Audio-Visual Representation

Context-aware Cross-level Fusion Network for Camouflaged Object Detection

Learning Interpretable Concept Groups in CNNs

Cross-Domain Few-Shot Classification via Adversarial Task Augmentation

Spline Positional Encoding for Learning 3D Implicit Signed Distance Fields

Towards Compact Single Image Super-Resolution via Contrastive Self-distillation

Segmenting Transparent Objects in the Wild with Transformer

Hierarchical Self-supervised Augmented Knowledge Distillation

Coupling Intent and Action for Pedestrian Crossing Behavior Prediction

Object Detection in Densely Packed Scenes via Semi-Supervised Learning with Dual Consistency

Multimodal Transformer Networks for Pedestrian Trajectory Prediction

CogTree: Cognition Tree Loss for Unbiased Scene Graph Generation

Learning Implicit Temporal Alignment for Few-shot Video Classification

Context-Aware Image Inpainting with Learned Semantic Priors

Sequential 3D Human Pose Estimation Using Adaptive Point Cloud Sampling Strategy

Efficiently Explaining CSPs with Unsatisfiable Subset Optimization

Decomposition Strategies to Count Integer Solutions over Linear Constraints

Learning Implicitly with Noisy Data in Linear Arithmetic

Computing Optimal Hypertree Decompositions with SAT

Masked Contrastive Learning for Anomaly Detection

Multi-Channel Pooling Graph Neural Networks

Learning Stochastic Equivalence based on Discrete Ricci Curvature

Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning

Practical One-Shot Federated Learning for Cross-Silo Setting

MG-DVD: A Real-time Framework for Malware Variant Detection Based on Dynamic Heterogeneous Graph Learning

GraphReach: Position-Aware Graph Neural Network using Reachability Estimations

Graph Edit Distance Learning via Modeling Optimum Matchings with Constraints

GAEN: Graph Attention Evolving Networks

Keyword-Based Knowledge Graph Exploration Based on Quadratic Group Steiner Trees

Federated Learning with Fair Averaging

Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning

Graph Deformer Network

DACBench: A Benchmark Library for Dynamic Algorithm Configuration

Bounded-cost Search Using Estimates of Uncertainty

A New Upper Bound Based on Vertex Partitioning for the Maximum K-plex Problem

Pruning of Deep Spiking Neural Networks through Gradient Rewiring

Human-AI Collaboration with Bandit Feedback

Item Response Ranking for Cognitive Diagnosis

Type Anywhere You Want: An Introduction to Invisible Mobile Keyboard

Abductive Learning with Ground Knowledge Base

Abductive Knowledge Induction from Raw Data

Program Synthesis as Dependency Quantified Formula Modulo Theory

Using Platform Models for a Guided Explanatory Diagnosis Generation for Mobile Robots

Compressing Exact Cover Problems with Zero-suppressed Binary Decision Diagrams

Modeling Precomputation In Games Played Under Computational Constraints

A Ladder of Causal Distances

Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding

Physics-informed Spline Learning for Nonlinear Dynamics Discovery

Transforming Robotic Plans with Timed Automata to Solve Temporal Platform Constraints

Likelihood-free Out-of-Distribution Detection with Invertible Generative Models

Simulation of Electron-Proton Scattering Events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN)

DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization

Verifying Reinforcement Learning up to Infinity

Reconciling Rewards with Predictive State Representations

Learning Attributed Graph Representation with Communicative Message Passing Transformer

Understanding Structural Vulnerability in Graph Convolutional Networks

Monte Carlo Filtering Objectives

Graph-Free Knowledge Distillation for Graph Neural Networks

Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks

Boosting Variational Inference With Locally Adaptive Step-Sizes

Automatic Translation of Music-to-Dance for In-Game Characters

Time-Series Representation Learning via Temporal and Contextual Contrasting

Contrastive Model Invertion for Data-Free Knolwedge Distillation

Learning Groupwise Explanations for Black-Box Models

BOBCAT: Bilevel Optimization-Based Computerized Adaptive Testing

Bayesian Experience Reuse for Learning from Multiple Demonstrators

The Successful Ingredients of Policy Gradient Algorithms

Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis

Interpretable Minority Synthesis for Imbalanced Classification

UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks

SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging

Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation

Towards Scalable Complete Verification of Relu Neural Networks via Dependency-based Branching

Solving Continuous Control with Episodic Memory

On Guaranteed Optimal Robust Explanations for NLP Models

Graph Filter-based Multi-view Attributed Graph Clustering

Adversarial Spectral Kernel Matching for Unsupervised Time Series Domain Adaptation

Smart Contract Vulnerability Detection: From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion

Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks

Contrastive Losses and Solution Caching for Predict-and-Optimize

Accelerating Neural Architecture Search via Proxy Data

Explaining Deep Neural Network Models with Adversarial Gradient Integration

Learning Aggregation Functions

Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation

Don’t Do What Doesn’t Matter: Intrinsic Motivation with Action Usefulness

Unsupervised Progressive Learning and the STAM Architecture

Predicting Traffic Congestion Evolution: A Deep Meta Learning Approach

Hyperspectral Band Selection via Spatial-Spectral Weighted Region-wise Multiple Graph Fusion-Based Spectral Clustering

Probabilistic Sufficient Explanations

Self-Supervised Adversarial Distribution Regularization for Medication Recommendation

Closing the BIG-LID: An Effective Local Intrinsic Dimensionality Defense for Nonlinear Regression Poisoning

KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation

A Clustering-based framework for Classifying Data Streams

Unsupervised Path Representation Learning with Curriculum Negative Sampling

Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models

Combining Tree Search and Action Prediction for State-of-the-Art Performance in DouDiZhu

MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks

Solving Math Word Problems with Teacher Supervision

Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare

Ordering-Based Causal Discovery with Reinforcement Learning

Electrocardio Panorama: Synthesizing New ECG views with Self-supervision

TrafficStream: A Streaming Traffic Flow Forecasting Framework Based on Graph Neural

Online Credit Payment Fraud Detection via Structure-Aware Hierarchical Recurrent Neural Network

Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction

Change Matters: Medication Change Prediction with Recurrent Residual Networks

SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations

GraphMI: Extracting Private Graph Data from Graph Neural Networks

Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based Multi-view Modeling

Exemplification Modeling: Can You Give Me an Example, Please?

Generating Senses and RoLes: An End-to-End Model for Dependency- and Span-based Semantic Role Labeling

Automatically Paraphrasing via Sentence Reconstruction and Round-trip Translation

ALaSca: an Automated approach for Large-Scale Lexical Substitution

Modelling General Properties of Nouns by Selectively Averaging Contextualised Embeddings

Discourse-Level Event Temporal Ordering with Uncertainty-Guided Graph Completion

Consistent Inference for Dialogue Relation Extraction

Multi-Hop Fact Checking of Political Claims

Laughing Heads: Can Transformers Detect What Makes a Sentence Funny?

MultiMirror: Neural Cross-lingual Word Alignment for Multilingual Word Sense Disambiguation

Learning Class-Transductive Intent Representations for Zero-shot Intent Detection

A Sequence-to-Set Network for Nested Named Entity Recognition

Learn from Syntax: Improving Pair-wise Aspect and Opinion Terms Extraction with Rich Syntactic Knowledge

Improving Stylized Neural Machine Translation with Iterative Dual Knowledge Transfer

Document-level Relation Extraction as Semantic Segmentation

Relational Gating for ''What If'' Reasoning

Efficient Black-Box Planning Using Macro-Actions with Focused Effects

Symbolic Dynamic Programming for Continuous State MDPs with Linear Program Transitions

Anytime Multi-Agent Path Finding via Large Neighborhood Search

The Fewer the Merrier: Pruning Preferred Operators with Novelty

TANGO: Commonsense Generalization in Predicting Tool Interactions for Mobile Manipulators

Deep Bucket Elimination