CircConv: A Structured Convolution with Low Complexity
Deep Single-View 3D Object Reconstruction with Visual Hull Embedding
On the Optimal Efficiency of Cost-Algebraic A*
Spatial-Temporal Person Re-identification
Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age
Transferable Curriculum for Weakly-Supervised Domain Adaptation
Differential Networks for Visual Question Answering
PhoneMD: Learning to Diagnose Parkinson's Disease from Smartphone Data
Fairly Allocating Many Goods with Few Queries
Disjunctive Normal Form for Multi-Agent Modal Logics Based on Logically Separability
Weighted Channel Dropout for Regularization of Deep Convolutional Neural Network
Be Inaccurate but don’t be Indecisive: How Error Distribution Can Affect User Experience
Evolving Action Abstractionsfor Real-Time Planning in Extensive-Form Games
No-reference Image Quality Assessment with Reinforcement Recursive List-wise Ranking
Zero-Shot Object Detection with Textual Descriptions
Leveraging Web Semantic Knowledge in Word Representation Learning
Pareto Optimal Allocation under Compact Uncertain Preferences
FANDA: A Novel Approach to Perform Follow-up Query Analysis
Mirroring Human Manipulation Actions to Robots with Functional Equivalence
Object Detection based on Region Decomposition and Assembly
Talking Face Generation by Adversarially Disentangled Audio-Visual Representation
Weighted abstract dialectical frameworks through the lens of approximation fixpoint
Low-Distortion Social Welfare Functions
MetaStyle: Three-Way Trade-Off Among Speed, Flexibility and Quality in Neural Style
Word Embedding as Maximum A Posteriori Estimation
Blameworthiness in Strategic Games
Disentangled Variational Representation for Heterogeneous Face Recognition
Learning Resolution-Invariant Deep Representations for Person Re-Identification
Sharper Generalization Bound for the Divide-and-Conquer Ridge Regression
CAPNet: Continuous Approximation Projection for 3D Point Cloud Reconstruction Using 2D
Single-Label Multi-Class Image Classification by Deep Logistic Regression
Disjoint Label Space Transfer Learning with Common Factorised Space
Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction
Improving Hypernymy Prediction via Taxonomy Enhanced Adversarial Learning
DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document
Deep Recurrent Survival Analysis
Safe Partial Diagnosis from Normal Observations
Augmenting Markov Decision Processes with Advising
Attention-based Multi-Context Guiding for Few-Shot Semantic Segmentation
Deep Video Frame Interpolation using Cyclic Frame Generation
Multi-view Information-theoretic Co-clustering for Co-occurrence Data
How Does Knowledge of the AUC Constrain the Set of Possible Ground-truth Labelings?
Sensitivity Analysis of Deep Neural Networks
Migration as Submodular Optimization
Scalable Distributed DL Training: Batching Communication and Computation
Non-Compensatory Psychological Models for Recommender Systems
Deep Interest Evolution Network for Click-Through Rate Prediction
MFBO-SSM: Multi-Fidelity Bayesian Optimization for Fast Inference in State-Space Models
FRAME Revisited: An Interpretation View Based on Particle Evolution
RR-GAN: Single Image Rain Removal Without Paired Information
(A*STAR) Singapore)*; Xi Peng (); Joey Tianyi Zhou (IHPC); Songfan Yang (100tal); Vijay
Unsupervised Meta-learning of Figure-Ground Segmentation via Imitating Visual Effects
MEAL: Multi-Model Ensemble via Adversarial Learning
TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents
Optimal Surveillance of Covert Networks by Minimizing Inverse Geodesic Length
Serge Gaspers (UNSW); Kamran Najeebullah (UNSW and Data61)*
Tracking Logical Difference in Large-Scale Ontologies: A Forgetting-Based Approach
Solving Imperfect-Information Games with Discounted Counterfactual Regret Minimization
ScalMC: Engineering an Efficient Approximate Model Counter
Learning Neural Bag-of-Matrix-Summarization with Riemannian Network
Learning Diffusions without Timestamps
Adversarial Dropout for Recurrent Neural Networks
Convergence of Learning Dynamics in Information Retrieval Games
Polynomial-time probabilistic reasoning with partial observations via implicit learning in
Adaptive Sparse Confidence-Weighted Learning for Online Feature Selection
Automated Verification of Social Laws for Continuous Time Multi-Robot Systems
Read, Watch, and Move: Reinforcement Learning for Temporally Grounding Natural
A Novel Framework for Robustness Analysis of Visual QA Models
Adversarial Learning for Weakly-Supervised Social Network Alignment
Rotational Diversity in Multi-Cycle Assignment Problems
TallyQA: Answering Complex Counting Questions
Distributionally Adversarial Attack
ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper
Object Reachability via Swaps along a Line
Recognizing Unseen Attribute-Object Pair with Generative Model
Deep Bayesian Trust : A Dominant and Fair Incentive Mechanism for Crowd
Knowledge-Driven Encode, Retrieve, Paraphrase for Medical Image Report Generation
Video Imprint Segmentation for Temporal Action Detection in Untrimmed Videos
Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks
On Testing of Samplers
A^2-Net: Molecular Structure Estimation for Cryo-EM Density Volumes
Template-Based Math Word Problem Solvers with Recursive Neural Networks
Learning to Embed Sentences Using Attentive Recursive Trees
On the Hardness of Probabilistic Inference Relaxations
Consensus Adversarial Domain Adaptation
Towards Optimal Discrete Online Hashing with Balanced Similarity
Determinantal reinforcement learning
Scene Text Recognition from Two-Dimensional Perspective
3D Face Synthesis Driven by Personality Impression
Perceptual-Sensitive GAN for Generating Adversarial Patches
DDFlow: Learning Optical Flow with Unlabeled Data Distillation
Incorporating Behavioral Constraints in Online AI Systems
A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems
Data-to-Text Generation with Content Selection and Planning
How many preference pairs suffice to rank a graph consistently?
Allocating Search Effort When Actions Expire
Sentence-wise Smooth Regularization for Sequence to Sequence Learning
Sublinear Time Numerical Linear Algebra for Structured Matrices
HSME: Hypersphere Manifold Embedding for Visible Thermal Person Re-identification
Energy Confused Adversarial Metric Learning for Zero-Shot Image Retrieval and Clustering
Spectral Clustering in Heterogeneous Information Networks
Interaction-aware Factorization Machines
Residual Attribute Attention Network for Face Image Super-Resolution
Certifying the True Error: Machine Learning in Coq with Verified Generalization Guarantees
Differentially Private Empirical Risk Minimization with Smooth Non-convex Loss Functions:
Embedding Uncertain Knowledge Graphs
Self-Paced Active Learning: Query the Right Thing at the Right Time
Learning a Deep Convolutional Network for Colorization in Monochrome-Color Dual-Lens
Beijing 100191, China)
Fully Convolutional Network with Multi-Step Reinforcement Learning for Image Processing
G2C: A Generator-to-Classifier Framework Integrating Multi-Stained Visual Cues for
Towards Optimal Fine Grained Retrieval via Decorrelated Centralized Loss with NormalizeScale layer
Robustness Can Be Cheap: A Highly Efficient Approach to Discover Outliers under High
Hybrid Attention-based Prototypical Networks for Noisy Few-Shot Relation Classification
TransGate: Knowledge Graph Embedding with Shared Gate Structure
Performance Guarantees for Homomorphisms beyond Markov Decision Processes
Cross-view Local Structure Preserved Diversity and Consensus Learning for Multi-view
Enriching Non-parametric Bidirectional Search Algorithms
Cost-Sensitive Learning to Rank
Primarily About Primaries
Optimal Projection Guided Transfer Hashing for Image Retrieval
Safeguarded Dynamic Label Regression for Noisy Supervision
Neural Attentive Model for Explainable Recommendation by Learning User Dynamic
Learning Basis Representation to Refine 3D Human Pose Estimations
Efficient and Effective Incomplete Multi-view Clustering
Multi-Dimensional Classification via kNN Feature Augmentation
Regular Boardgames
Learning to Localize Objects with Noisy Labeled Instances
To Find Where You Talk: Temporal Sentence Localization in Video with Attention Based
One-network Adversarial Fairness
Spatiotemporal Multi-Graph Convolution Network for Ride-hailing Demand Forecasting
Traffic Updates: Saying a Lot While Revealing a Little
Revenue Enhancement Via Asymmetric Signaling in Interdependent-Value Auctions
Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous
Horizontal Pyramid Matching for Person Re-identification
STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification
Multi-scale 3D Convolution Network for Video Based Person Re-Identification
Weakly-Supervised Simultaneous Evidence Identification and Segmentation for
Pathological Evidence Exploration in Deep Retinal Image Diagnosis
Cubic LSTMs for Video Prediction
A Deep Cascade Model for Multi-Document Reading Comprehension
Amalgamating Knowledge towards Comprehensive Classification
Bounded Suboptimal Search with Learned Heuristics for Multi-Agent Systems
Similarity Learning via Kernel Preserving Embedding
Cross-domain Visual Representations via Unsupervised Graph Alignment
A Bottom-Up Clustering Approach to Unsupervised Person Re-identification
An Affect-Rich Neural Conversational Model with Biased Attention and Weighted CrossEntropy Loss
Tackling Sparse Rewards in Real-Time Games with Statistical Forward Planning Methods
3D Object Detection Using Scale Invariant and Feature Reweighting Networks
Complexity of Abstract Argumentation Under a Claim-centric View
Unified Embedding Alignment with Missing Views Inferring for Incomplete Multi-View
A Hierarchical Framework for Relation Extraction with Reinforcement Learning
Modular Materialisation of Datalog Programs
TransNFCM: Translation-Based Neural Fashion Compatibility Modeling
Unsupervised Fake News Detection on Social Media: A Generative Approach
Deep Bayesian Optimization on Attributed Graphs
Deep Latent Generative Models For Energy Disaggregation
Selective Refinement Network for High Performance Face Detection
GAMENet: Graph Augmented MEmory Networks for Recommending Medication
The Kelly Growth Optimal Portfolio with Ensemble Learning
Zero-Shot Adaptive Transfer for Conversational Language Understanding
ABox Abduction via Forgetting in ALC
Task Transfer by Preference-Based Cost Learning
Free VQA Models from Knowledge Inertia by Pairwise Inconformity Learning
Mono3D++: Monocular 3D Vehicle Detection with Two-Scale 3D Hypotheses and Task
Video Inpainting by Jointly Learning Temporal Structure and Spatial Details
End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis
Pareto-Optimal Allocation of Indivisible Goods with Connectivity Constraints
Joint Semi-supervised Feature Selection and Classification Through Bayesian Approach
RGBD Based Gaze Estimation via Multi-task CNN
GeniePath: Graph Neural Networks with Adaptive Receptive Paths
Balanced Linear Contextual Bandits
TopicEq: A Joint Topic and Mathematical Equation Model for Scientific Texts
Induction of Non-Monotonic Logic Programs to Explain Boosted Tree Models Using LIME
Balancing Relevance and Diversity in Online Bipartite Matching via Submodularity
Weakly Supervised Scene Parsing with Point-based Distance Metric Learning
Combining Axiom Injection and Knowledge Base Completion for Efficient Natural
Tile2Vec: Unsupervised representation learning for spatially distributed data
Spell Once, Summon Anywhere: A Two-Level Open-Vocabulary Language Model
The Pure Price of Anarchy of Pool Block Withholding Attacks in Bitcoin Mining
Deep Reinforcement Learning for Syntactic Error Repair in Student Programs
Switch-based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion
Recurrent Attention Model for Pedestrian Attribute Recognition
Scaling-up Split-Merge MCMC with Locality Sensitive Sampling (LSS)
Efficient Region Embedding with Multi-view Spatial Networks: A Perspective of LocalityConstrained Spatial Autocorrelations
Combo-Action: Training Agent For FPS Game with Auxiliary Tasks
Robust Metric Learning on Grassmann Manifolds with Generalization Guarantees
Functional Connectivity Network Analysis with Discriminative Hub Detection for Brain
Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification
Feature Sampling based Unsupervised Semantic Clustering for Real Web Multi-view
Virtual-Taobao: Virtualizing Real-world Online Retail Environment for Reinforcement
Cycle-SUM: Cycle-consistent Adversarial LSTM Networks for Unsupervised Video
A Dual Attention Network with Semantic Embedding for Few-shot Learning
An Axiomatic Approach to Rationality for Reinforcement Learning Agents
Heterogeneous Transfer Learning via Deep Matrix Completion with Adversarial Kernel
Hierarchical Attention Network for Image Captioning
Bootstrap Estimated Uncertainty of the Environment Model for Model-based
Real-time Planning as Decision-making Under Uncertainty
Adversarial Label Learning
Temporal anomaly detection: calibrating the surprise
RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from
Predicting Hurricane Trajectories using a Recurrent Neural Network
Diverse Exploration via Conjugate Policies for Policy Gradient Methods
The Goldilocks zone: Towards better understanding of neural network loss landscapes
Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video Captioning
Bayesian posterior approximation via greedy particle optimization
ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question
Gaussian Transformer: a Lightweight Approach for Natural Language Inference
Knowledge Distillation with Adversarial Samples Supporting Decision Boundary
Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional
TET-GAN: Text Effects Transfer via Stylization and Destylization
Randomized Wagering Mechanisms
Hypergraph Neural Networks
Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons
Cognitive Deficit of Deep Learning in Numerosity
Online Pandora's Boxes and Bandits
Fast Incremental SVDD Learning Algorithm with the Gaussian Kernel
Projection Convolutional Neural Networks
StNet: Local and Global Spatial-Temporal Modeling for Action Recognition
Mutigrid Backprojection Super-Resolution and Deep Filter Visualization
Capacity Control of ReLU Neural Networks by Basis-path Norm
3D Volumetric Modeling with Introspective Neural Networks
Point Cloud Processing via Recurrent Set Encoding
When Do Envy-Free Allocations Exist?
Stochastic Submodular Maximization with Performance-Dependent Item Costs
Learning Personalized End-to-End Goal-Oriented Dialog
Adaptive Region Embedding for Text Classification
Soft Facial Landmark Detection by Label Distribution Learning
Constrained Generation via Metropolis-Hastings Sampling
LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts
Simulation-Based Approach to Efficient Commonsense Reasoning in Very Large
On Fair Cost Sharing Games in Machine Learning
DAN : Deep Attention Neural Network for News Recommendation
Kernelized Hashcode Representations for Biomedical Relation Extraction
TAPAS: Train-less Accuracy Predictor forArchitecture Search
Densely Supervised Grasp Detector (DSGD)
Outlier Aware Network Embedding for Attributed Networks
Human Action Transfer Based on 3D Model Reconstruction
Classification with Costly Features using Deep Reinforcement Learning
Scene Text Detection with Supervised Pyramid Context Network
TDSNN:From Deep Neural Networks to Deep Spike Neural Networks with Temporalcoding
Verifying Robustness of Gradient Boosting Models
On Structural Causal Bandit with Non-manipulable Variables
BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual
Hedi Ben-younes (Sorbonne université)*; Remi Cadene (LIP6); Matthieu Cord (Sorbonne
Gradient Harmonized Single-stage Detector
Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial
A Two-Stream Mutual Attention Network for Semi-supervised Biomedical Segmentation
Block Belief Propagation for Parameter Learning in Markov Random Fields
Structured and Sparse Annotations for Image Emotion Distribution Learning
Deep Reinforcement Learning for Green Security Games with Real-Time Information
Variance Reduction in Monte Carlo Regret Minimization for Extensive Games using
Model-Free IRL using Maximum Likelihood Estimation
Self-Supervised Video Representation Learning with Space-Time Cubic Puzzles
Partial Awareness
Memory Bounded Open-Loop Planning in Large POMDPs using Thompson Sampling
Finding All Bayesian Network Structures within a Factor of Optimal
Verification of RNN-Based Neural Agent-Environment Systems
ColNet: Embedding the Semantics of Web Tables for Column Type Prediction
Estimating the Causal Effect from Partially Observed Time Series
Understanding Learned Models by Identifying Important Features at the Right Resolution
Graph Convolutional Networks for Text Classification
Distribution Consistency based Covariance Metric Networks for Few Shot Learning
Group Decision Diagram (GDD): A Compact Representation for Permutations
DoPAMINE: Double-sided Masked CNN for Pixel Adaptive Multiplicative Noise
Modeling Coherence for Discourse Neural Machine Translation
MR-NET: Exploiting Mutual Relation for Visual Relationship Detection
Deeply Fusing Reviews and Contents for Cold Start Users in Cross-Domain
Transferable Attention for Domain Adaptation
Selecting Compliant Agents for Opt-in Micro-Tolling
Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input
Towards Sentence-Level Brain Decoding with Distributed Representations
A Human-like Semantic Cognition Network for Aspect-level Sentiment Classification
Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation
A Unified Approach to Online Matching with Conflict-Aware Constraints
A Generic Approach for Accelerating Belief Propagation based DCOP Algorithms via A
Non-ergodic Convergence Analysis of Heavy-Ball Algorithms
Joint Dynamic Pose Image and Space Time Reversal for Human Action Recognition from
Training Deep Neural Networks in Generations: A More Tolerant Teacher Educates Better
Read + Verify: Machine Reading Comprehension with Unanswerable Questions
Forming Probably Stable Communities with Limited Interactions
From Zero-Shot Learning to Cold-Start Recommendation
Detect or Track: Towards Cost-Effective Video Object Detection/Tracking
Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple
Response Generation by Context-aware Prototype Editing
Explicit Interaction Model towards Text Classification
A Theoretically Guaranteed Deep Optimization Framework for Robust Compressive
Dictionary-Guided Editing Networks for Paraphrase Generation
Unsupervised Transfer Learning for Spoken Language Understanding in Intelligent Agents
M2Det: A Single-Shot Object detector based on Multi-Level Feature Pyramid Network
Leveraging observations in bandits: Between risks and benefits
Two-Stage Label Embedding via Neural Factorization Machine for MultiLabel
Towards Highly Accurate and Stable Face Alignment for High-Resolution Videos
Backbone Can Not be Trained at Once: Rolling Back to Pre-trained Network for Person
Super Sparse Convolutional Neural Networks
Discriminative Feature Learning for Unsupervised Video Summarization
SVM-based Deep Stacking Networks
View Inter-Prediction GAN: Unsupervised Representation Learning for 3D Shapes by
MeshNet: Mesh Neural Network for 3D Shape Representation
Clipped Matrix Completion: a Remedy for Ceiling Effects
Cousin Network Guided Sketch Recognition via Latent Attribute Warehouse
The Complexity of Computing Fair Knapsack
Balanced Sparsity for Efficient DNN Inference on GPU
A Two-Individual Based Evolutionary Algorithm for the Flexible Job Shop Scheduling
Re2EMA: Regularized and Reinitialized Exponential Moving Average for Target Model
On Rational Delegations in Liquid Democracy
Probabilistic Model Checking of Robots Deployed in Extreme Environments
Joint Representation Learning for Multi-Modal Transportation Recommendation
Active Preference Elicitation based on Generalized Gini Functions: Application to the
Nadjet Bourdache (LIP6); Patrice Perny (Sorbonne University)*
Recurrent Stacking of Layers for Compact Neural Machine Translation Models
Dynamic Compositionality in Recursive Neural Networks with Structure-aware Tag
Memory-Augmented Temporal Dynamic Learning for Action Recognition
Calibrated Stochastic Gradient Descent for Convolutional Neural Networks
Video Object Detection with Locally-Weighted Deformable Neighbors
Fair Division with a Secretive Agent
Play As You Like: Timbre-Enhanced Multi-modal Music Style Transfer
Temporal Deformable Convolutional Encoder-Decoder Networks for Video Captioning
Visual-semantic Graph Reasoning for Pedestrian Attribute Recognition
Semantic Relationships Guided Representation Learning for Facial Action Unit
Connecting the Digital and Physical World: Improving the Robustness of Adversarial
Abstracting Causal Models
Trainable Undersampling for Class-Imbalance Learning
On Limited Conjunctions and Partial Features\\ in Parameter-tractable Feature Logics
Scalable and Efficient Pairwise Learning to Achieve Statistical Accuracy
Large-scale Interactive Recommendation with Tree-structured Policy Gradient
Adversarial Learning of Semantic Relevance in Text to Image Synthesis
Unsupervised Cross-spectral Stereo Matching by Learning to Synthesize
Goal-oriented Dialogue Policy Learning from Failures
Incorporating Commonsense Knowledge for Story Completion
The SpectACl of Nonconvex Clustering: A Spectral Approach to Density-Based Clustering
CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural
Anytime Recursive Best-First Search for Bounding Marginal MAP
Policy Optimization with Model-based Explorations
AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Blackbox Neural Networks
Unsupervised learning with contrastive latent variable models
Semi-Parametric Sampling for Stochasitc Bandits with Many Arms
Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival
Combining Deep Learning and Qualitative Spatial Reasoning to Learn Complex Structures
Fully Convolutional Video Captioning with Coarse-to-Fine and Inherited Attention
Optimal approximation of discrete random variables for estimation of probabilities for
CAFE: Adaptive VDI Workload Prediction with Multi-Grained Features
A Better Algorithm for Societal Tradeoffs
Optimization of Hierarchical Regression Model With Application to Optimizing MultiResponse Regression Trees
Very Hard Electoral Control Problems
How to Combine Tree-Search Methods in Reinforcement Learning
What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite
A Unified Framework for Planning in Adversarial and Cooperative Environments
State-Augmentation Transformations for Risk-Sensitive Reinforcement Learning
Eliminating Latent Discrimination: Train Then Mask
Number Sequence Prediction Problems for Evaluating Computational Powers of Neural
Scalable Robust Kidney Exchange
SepNE: Bringing Separability to Network Embedding
Improving Natural Language Inference Using External Knowledge in the Science
Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing
Evolution of collective fairness in hybrid populations of humans and agents
Knowledge Refinement via Rule Selection
Defending Elections Against Malicious Spread of Misinformation
Learning to Teach in Cooperative Multiagent Reinforcement Learning
Image Block Augmentation for One-Shot Learning
Online Embedding Compression for Text Classification using Low Rank Matrix
Robust Anomaly Detection in Videos using Multilevel Representations
Adversarial Training for Community Question Answer Selection Based on Multi-scale
Y^2Seq2Seq: Cross-Modal Representation Learning for 3D Shape and Text by Joint
Tensorial Change Analysis using Probabilistic Tensor Regression
Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an
Asynchronous Delay-Aware Accelerated Proximal Coordinate Descent for Nonconvex
Sparse Adversarial Perturbations for Videos
CISI-net: Explicit latent content inference and imitated style rendering for image
EA Reader: Enhance Attentive Reader for Cloze-Style Question Answering via Multi-Space
Almost Unsupervised Learning for Dense Crowd Counting
Subspace Selection via DR-Submodular Maximization on Lattices
Distribution-based Semi-Supervised Learning for Activity Recognition
A distillation approach to data efficient individual treatment effect estimation
Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph
An Efficient Compressive Convolutional Network for Unified Object Detection and Image
Multi-View Anomaly Detection: Neighborhood in Locality Matters
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow
A Natural Language Corpus of Common Grounding under Continuous and PartiallyObservable Context
A SAT+CAS Approach to Finding Good Matrices: New Examples and Counterexamples
Depthwise Convolution is All You Need for Learning Multiple Visual Domains
Deriving Subgoals Autonomously to Accelerate Learning in Sparse Reward Domains
Election with Bribed Voter Uncertainty: Hardness and Approximation Algorithm
Human motion prediction via learning local structure representations and temporal
Motion Guided Spatial Attention for Video Captioning
Solving Large Extensive-Form Games with Strategy Constraints
Orthogonality-Promoting Dictionary Learning via Bayesian Inference
Re-evaluating ADEM: A Deeper Look at Scoring Dialogue Responses
Learning Adaptive Random Features
MVPNet: Multi-View Point Regression Networks for 3D Object Reconstruction from A
Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial
Multi-Winner Contests for Strategic Diffusion in Social Networks
Difficulty-Aware Attention Network with Confidence Learning for Medical Image
B\´ezier Simplex Fitting: Describing Pareto Fronts of Simplicial Problems with Small
Show, attend and read: a simple and strong baseline for recognising irregular text
Unsupervised Domain Adaptation by Matching Distributions based on the Maximum
Discrete Social Recommendation
Diversity-Driven Extensible Hierarchical Reinforcement Learning
Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep
Spatial Mixture Models with Learnable Deep Priors for Perceptual Grouping
Practical Approximate Second-Order Method for Training Fully-Connected Neural
Fuzzy-Classification Assisted Solution Preselection in Evolutionary Optimization
Compressing Recurrent Neural Networks with Tensor Ring Decomposition for Action
Dependency or Span, End-to-End Uniform Semantic Role Labeling
Cross-relation Cross-bag Attention for Distantly-supervised Relation Extraction
Bias-Variance Trade-Off in Hierarchical Probabilistic Models Using Higher-Order Feature
Simon Luo (The University of Sydney, Data61, CSIRO)*; Mahito Sugiyama (National Institute of
Semantic Adversarial Network with Multi-scale Pyramid Attention for Video Classification
Residual Invertible Spatio-Temporal Network For Video Super-Resolution
Partial Multi-Label Learning via Credible Label Elicitation
Extension Removal in Abstract Argumentation -- An Axiomatic Approach
Deep neural networks constrained by decision rules
Non-Autoregressive Machine Translation with Auxiliary Regularization
Self-Supervised Mixture-of-Experts by Uncertainty Estimation
Addressing the Under-translation Problem from the Entropy Perspective
Cogra: Concept-drift-aware Stochastic Gradient Descent for Time-series Forecasting
MLVCNN: Multi-Loop-View Convolutional Neural Network for 3D Shape Retrieval
SpHMC: Spectral Hamiltonian Monte Carlo
Hierarchical Attention Networks for Sentence Ordering
Who Blames Whom in a Crisis? Detecting Blame Ties from News Articles Using Neural
Improving Domain-Specific Classification by Collaborative Learning with Adaptation
Learning to Align Question and Answer Utterances in Customer Service Conversation with
Popularity Prediction on Online Articles with Deep Fusion of Temporal Process and
An Abstraction-based Method for Verifying Strategic Properties in Multi-agent Systems
Emergency Department Online Patient-Caregiver Scheduling
Safe Policy Improvement with Baseline Bootstrapping in Factored Environments
Residual Compensation Networks for Heterogeneous Face Recognition
MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object Localization
General Robustness Evaluation of Incentive Mechanism Against Bounded Rationality
DeRPN: Taking a further step toward more general object detection
Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training
Dirichlet Multinomial Mixture with Variational Manifold Regularization: Topic Modeling
AFS: An Attention-based mechanism for Supervised Feature Selection
Dual Semi-Supervised Learning for Facial Action Unit Recognition
Do Not Vote If You Are Not Motivated
Fine-grained search space classification for hard enumeration variants of subset problems
Learning Personalized Attribute Preference via Multi-task AUC Optimization
On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters
Reasoning over Assumption-Based Argumentation Frameworks via Direct Answer Set
Data Augmentation for Spoken Language Understanding via Joint Variational Generation
Hierarchical Photo-Scene Encoder for Album Storytelling
Computing the Yolk in Spatial Voting Games without Computing Median Lines
Granger-causal Attentive Mixtures of Experts: Learning Important Features with Neural
CAMO: A Collaborative Ranking Method for Content Based Recommendation
Geometry-Aware Face Completion and Editing
Neural Speech Synthesis with Transformer Network
Incorporating Network Embedding into Markov Random Field for Better Community
Turbo Learning Framework for Human-Object Interactions Recognition and Human Pose
Semantic Sentence Matching with Densely-connected Recurrent and Co-attentive
Abstractive Text Summarization by Incorporating Reader Comments
I Know the Relationships: Zero-Shot Action Recognition via Two-Stream Graph
Semantic Proposal for Activity Localization in Videos via Sentence Query
Qualitative Spatial Logic over 2D Euclidean Spaces is Not Finitely Axiomatisable
SCFont: Structure-guided Chinese Font Generation via Deep Stacked Networks
On Resolving Ambiguous Anaphoric Expressions in Imperative Discourse
Hyperprior Induced Unsupervised Disentanglement of Latent Representations
Holographic Factorization Machines for Recommendation
Coreset Stochastic Variance-Reduced Gradient with Application to Optimal Margin
Long Short-Term Memory with Dynamic Skip Connections
Generating Distractors for Reading Comprehension Questions from Real Examinations
On Completing Sparse Knowledge Graph with Transitive Relation Embedding
UGSD: User Generated Sentiment Dictionaries from Online Customer Reviews
Unsupervised Domain Adaptation Based on Source-guided Discrepancy
Hierarchical Encoder with Auxiliary Supervision for Table-to-text Generation: Learning
SAM-Net: Integrating Event-Level and Chain-Level Attentions to Predict What Happens
Title-Guided Encoding for Keyphrase Generation
Argumentation for Explainable Scheduling
Trust Region Evolution Strategies
Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning
Theoretical Analysis of Label Distribution Learning
Human-in-the-Loop Feature Selection
A Framework to Coordinate Segmentation and Recognition
Multi-labeled Relation Extraction with Attentive Capsule Network
Efficient Gaussian Process Classification Using Polya-Gamma Data Augmentation
Hierarchical Classification based on Label Distribution Learning
Reverse-Engineering Satire, or "Paper on Computational Humor Criticized for Making
Refining Abstraction Heuristics During Real-Time Planning
A Generalized Language Model in Tensor Space
Learning Disentangled Representation with Pairwise Independence
Cooperative Multimodal Approach to Depression Detection in Twitter
Greedy maximization of functions with bounded curvature under partition matroid
Preference-aware Task Assignment in Spatial Crowdsourcing
Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient
EnsNet: Ensconce Text in the Wild
A Framework for Approval-based Budgeting Methods
Data-Adaptive Metric Learning with Scale Alignment
Solving Concurrent Multiagent Planning using Classical Planning
Iterative Classroom Teaching
ReAl-LiFE: Accelerating the discovery of individualized brain connectomes on GPUs
A Powerful Global Test Statistic for Functional Statistical Inference
Approximation and Hardness of Shift-Bribery
Learning Attribute-Specific Representations for Visual Tracking
Multi-Interactive Memory Network for Aspect Based Multimodal Sentiment Analysis
Learning Non-Uniform Hypergraph for Multi-Object Tracking
A Multi-Agent Communication Framework for Question-Worthy Phrase Extraction and
Dependency Grammar Induction with a Neural Variational Transition-Based Parser
How Similar Are Two Elections?
Exploiting Sentence Embedding for Medical Question Answering
Temporal Bilinear Networks for Video Action Recognition
Exploring Lexical Knowledge in an Interpretable Composed Approach for Text Entailment
Learning the Optimal Strategy to Commit to
INTERPRETATION OF NEURAL NETWORKS IS FRAGILE
Meta-descent for online, continual prediction
Recurrent Poisson Process Unit for Speech Recognition
Lifted Proximal Operator Machine
Hotels-50K: A Global Hotel Recognition Dataset
Submodular Optimization Over Streams with Inhomogeneous Decays
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks
Bayesian Deep Collaborative Matrix Factorization
Learning Object Context for Dense Captioning
Preference-Aware Task Assignment in On-demand Taxi Dispatching: An Online Stable
Deep Cascade Multi-task Learning for Slot Filling in Online Shopping Assistant
A Grammar-Based Structural CNN Decoder for Code Generation
Building Causal Graphs from Medical Literature and Electronic Medical Records
Generating Live Soccer-Match Commentary from Play Data
Communication Efficient Stochastic Gradient MCMC for Neural Networks
Multi-order Attentive Ranking Model for Sequential Recommendation
Training Complex Models with Multi-Task Weak Supervision
Learning a Visual Tracker from a Single Movie without Annotation
Attentive Temporal Pyramid Network for Dynamic Scene Classification
Learning Resource Allocation and Pricing for Cloud Profit Maximization
SDRL: Interpretable and Data-efficient Deep Reinforcement Learning Leveraging Symbolic
Exploring Human Reading Cognition for Abstractive Text Summarization
Block-Dropout: Efficient Training Method for Multi-Agent Deep Reinforcement Learning
Image Saliency Prediction in Transformed Domain: A Deep Complex Neural Network
Detecting Incongruity Between News Headline and Body Text via a Deep Hierarchical
Multi-Matching Network for Multiple Choice Reading Comprehension
Blameworthiness in Multi-Agent Settings
A Comparative Analysis of Expected and Distributional Reinforcement Learning
Dynamic Capsule Attention for Visual Question Answering
State Abstraction as Compression in Apprenticeship Learning
Model-Based Diagnosis for Cyber-Physical Production Systems based on Machine
Depth prediction without the sensors: Leveraging structure for unsupervised learning
Deep Convolutional Sum-Product Networks
Deep Metric Learning by Online Soft Mining and Class-Aware Attention
Learning Competitive and Discriminative Reconstructions for Anomaly Detection
Adversarial Unsupervised Representation Learning for Activity Time-Series
Deep Transformation Method for Discriminant Feature Extraction from Multi-Channel
Generalized Batch Normalization
Efficient Concept Induction for Description Logics
Learning Set Functions with Limited Complementarity
COALA: A Neural Coverage-Based Approach for Long Answer Selection with Small Data
Interactive Semantic Parsing for If-Then Recipes via Hierarchical Reinforcement Learning
Group Fairness for Indivisible Goods Allocation
Towards Better Interpretability in Deep Q-Networks
CycleEmotionGAN: Emotional Semantic Consistency Preserved CycleGAN for Adapting
An Equivalence Between Wagering and Fair-Division Mechanisms
Toward Fast, Automatic, Privacy-Preserving Learning of Optimal Network Resource
Automated Rule Base Completion as Bayesian Concept Induction
Which Factorization Machine Modeling is Better: A Theoretical Answer with Optimal
Theory of Minds: Understanding Behavior in Groups Through Inverse Planning
Bias Reduction via End-to-End Shift Learning: Application to Citizen Science
Self-Adversarially Learned Bayesian Sampling
Learning to Communicate and Solve Visual Blocks-World Tasks
Beyond Speech: Generalizing D-Vectors for Biometric Verification
Mechanism Design for Multi-type Housing Markets with Acceptable Bundles
Active Learning of Multi-class Classification Models from Ordered Class Sets
Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications
Interpreting Deep Models for Text Analysis via Optimization and Regularization Methods
Inverse Abstraction of Neural Networks Using Symbolic Interpolation
Hybrid Reinforcement Learning with Expert State Sequences
Explicitly Imposing Constraints in Deep Networks Via Conditional Gradients Gives
On-line Adaptative Curriculum Learning for GANs
When do Words Matter? Understanding the Impact of Lexical Choice on Audience
Running Time Analysis of MOEA/D with Crossover on Discrete Optimization Problem
Neural Machine Translation with Adequacy-Oriented Learning
Multistream Classification with Relative Density Ratio Estimation
SAT-based Explicit LTLf Satisfiability Checking
Bayesian functional optimisation with shape prior
From Recommendation Systems to Facility Location Games
A PAC Framework for Aggregating Agents' Judgments
ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation
Violence Rating Prediction from Movie Scripts
Task Embedded Coordinate Update: A Realizable Framework for Multivariate Non-convex
"Reverse Gerrymandering": Manipulation in Multi-Group Decision Making
Understanding Story Characters, Movie Actors and Their Versatility with Gaussian
A Recursive Algorithm for Projected Model Counting
Algorithms for Average Regret Minimization
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in
Adjusting Reviewer Scores in Conference Reviewing
Regularizing Neural Machine Translation by Target-bidirectional Agreement
Multi-Agent Path Finding for Large Agents
Dynamic Layer Aggregation for Neural Machine Translation
Natural Option Critic
Random Feature Maps for Itemset Kernel
Symmetry Breaking Constraints for Grid-based Multi-Agent Path Finding
Fair and Efficient Memory Sharing: Confronting Free Riders
Network Recasting: A Universal Method for Network Architecture Transformation
Dynamic Spatial-Temporal Graph Convolutional Neural Networks for Traffic Forecasting
Deep Robust Unsupervised Multi-Modal Network
Interleave Variational Optimization with Monte Carlo Sampling: A Tale of Two
Declarative Question Answering over Knowledge Bases containing Natural Language Text
(AI2); Chitta Baral (Arizona State University)
Probabilistic Logic Programming with Beta-Distributed Random Variables
Embedding-based Complex Feature Value Coupling Learning for Detecting Outliers in
LabelForest: Non-Parametric Semi-Supervised Learning for Activity Recognition
Learning Dynamic Generator Model by Alternating Back-Propagation
Connecting Language to Images: A Progressive Attention-Guided Network for
Multi-Level Deep Cascade Trees for Conversion Rate Prediction in Recommendation
Congestion Graphs for Automated Time Predictions
A Topic-Aware Reinforced Model for Weakly Supervised Stance Detection
Heuristic Search Algorithm for Dimensionality Reduction Optimally Combining Feature
DeepCF: A Unified Framework of Representation Learning and Matching Function
Random Dictators with a Random Referee: Constant Sample Complexity Mechanisms for
Answer Identification from Product Reviews for User Questions by Multi-task Attentive
Exploiting Local Feature Patterns for Unsupervised Domain Adaptation
Weakly-Supervised Hierarchical Text Classification
Convex Formulations for Fair Principal Component Analysis
Acting and Planning Using Operational Models
Learning Transferable Self-attentive Representations for Action Recognition in
Compiling Bayesian Network Classifiers into Decision Graphs
ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search
Partial Label Learning via Label Enhancement
DialogueRNN: An Attentive RNN for Emotion Detection in Conversations
Learning Fully Dense Neural Networks for Image Semantic Segmentation
Robust Deep Co-Saliency Detection with Group Semantic
QUOTA: The Quantile Option Architecture for Reinforcement Learning
ParaBank: Monolingual Bitext Generation and Sentential Paraphrasing via Lexicallyconstrained Neural Machine Translation
Smooth Deep Image Generator from Noises
Attentive Tensor Product Learning
Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction
Task-Driven Common Representation Learning via Bridge Neural Network
HAS-QA: Hierarchical Answer Spans Model for Open-domain Question Answering
Efficient Data Point Pruning for One-Class SVM
R\(\textrm{S}^3\)CIS: Robust Single-Step Spectral Clustering with Intrinsic Subspace
Hierarchically Structured Reinforcement Learning for Topically Coherent Visual Story
Online Convex Optimization for Sequential Decision Processes and Extensive-Form Games
Dual-view Ranking with Hardness Assessment for Zero-shot Learning
Generating Character Descriptions for Automatic Summarization of Fiction
Image Aesthetic Assessment Assisted by Attributes through Adversarial Learning
Hashtag Recommendation for Photo Sharing Services
Spatial and Temporal Mutual Promotion for Video-based Person Re-identification
Joint Extraction of Entities and Overlapping Relations using Position-Attentive Sequence
Generating Multiple Diverse Responses for Short-Text Conversation
Asynchronous Proximal Stochastic Gradient Algorithm for Composition Optimization
What If We Simply Swap the Two Text Fragments? A Straightforward yet Effective Way to
f-Similarity Preservation Loss for Soft Labels: A Demonstration on Cross-Corpus Speech
A Domain Generalization Perspective on Listwise Context Modeling
On Sampling Complexity of the Semidefinite Affine Rank Feasibility Problem
Angular Triplet-Center Loss for Multi-view 3D Shape Retrieval
Neural Collective Graphical Models for Estimating Spatio-temporal Population Flow from
Automatic Construction of Parallel Portfolios via Explicit Instance Grouping
Understanding VAEs in Fisher-Shannon Plane
Latent Dirichlet Allocation for Internet Price War
Multiple Saliency and Channel Sensitivity Network for Aggregated Convolutional Feature
Precision-Recall versus Accuracy and the Role of Large Data Sets
Exploiting the Ground-Truth: An Adversarial Imitation Based Knowledge Distillation
DeepETA: A Spatial-temporal Sequential Neural Network Model for Estimating Time of
Deep Short Text Classification with Knowledge Powered Attention
LENA: Locality-Expanded Neural Embedding for Knowledge Base Completion
Optimizing Discount & Reputation Trade-offs in E-commerce Systems: Characterization
DeepDPM: Dynamic Population Mapping via Deep Neural Network
Community Focusing: Yet Another Query-Dependent Community Detection
Weighted Oblique Decision Trees
Counterfactual Randomization: Rescuing Experimental Studies from Obscured
A Layer Decomposition-Recomposition Framework for Neuron Pruning towards Accurate
FLEX: Faithful Linguistic Explanations for Neural Net based Model Decisions
Markov Random Field meets Graph Convolutional Network: End-to-End Learning for
Antonym-Synonym Classification based on New Sub-space Embeddings
Large-Scale Heterogeneous Feature Embedding
Curse of Concentration in Robust Learning: Evasion and Poisoning Attacks from
Incorporating Semantic Similarity with Geographic Correlation for Query-POI Relevance
Multi-CGN: Graph Convolutional Networks for Multi-View Networks, with Applications to
On Reinforcement Learning for Full-length Game of StarCraft
Quantifying Uncertainties in Natural Language Processing Tasks
MFPCA: Multiscale Functional Principal Component Analysis
Visual Place Recognition via Simultaneously Minimizing and Maximizing p-Order L2-Norm
Data-Distortion Guided Self-Distillation for Deep Neural Networks
Covariate Shift Adaptation on Learning from Positive and Unlabeled Data
Comparative Summarisation of Document Collections
Partially Observable Multi-Sensor Sequential Change Detection: A Combinatorial MultiArmed Bandit Approach
Understanding Persuasion Cascades in Online Product Rating Systems
Generating Chinese Ci with Designated Metrical Structure
Distributed Representation of Words in Cause and Effect Spaces
ClusterGAN : Latent Space Clustering in Generative Adversarial Networks
Unknown Agents in Friends Oriented Hedonic Games: Stability and Complexity
Domain Agnostic Real-Valued Specificity Prediction
Biomedical Image Segmentation via Representative Annotation
BiHMP-GAN: Bidirectional 3D Human Motion Prediction GAN
Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy
Insufficient Data Can Also Rock！Learning to Converse Using Smaller Data with
Approximate Inference of Outcomes in Probabilistic Elections
The Utility of Sparse Representations for Control in Reinforcement Learning
Learning to Write Creative Stories with Thematic Consistency
Few-Shot Image and Sentence Matching via Gated Visual-Semantic Embedding
Pareto Optimization for Subset Selection with Dynamic Cost Constraints
Modelling of Bi-directional Spatio-Temporal Dependence and Users' Dynamic Preferences
Implicit Argument Prediction as Reading Comprehension
Searching with Consistent Prioritization for Multi-Agent Path Finding
Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic
Recursively Learning Causal Structures Using Regression-based Conditional Independence
Approximate Kernel Selection with Strong Approximate Consistency
RecurJac : An Efficient Recursive Algorithm for Bounding Jacobian Matrix of General
Frame and Feature-Context Video Super-Resolution
Improving Optimization Bounds using Machine Learning: Decision Diagrams meet Deep
Crawling the Community Structure of Multiplex Networks
Spatiality Preservable Factored Poisson Regression for Large Scale Fine Grained GPSbased Population Analysis
Robust Ordinal Embedding from Contaminated Relative Comparisons
Learning Compact Model for Large-Scale Multi-Label Data
Efficient Identification of Approximate Best Configuration of Training in Large Datasets
Unsupervised Controllable Text Formalization
Model-based Diagnosis of Hybrid Systems using Satisfiability Modulo Theory
Supervised User Ranking in Signed Social Networks
Complexity of Inconsistency-Tolerant Query Answering in Datalog+/- under CardinalityBased Repairs
Devil in the Details: Towards Accurate Single and Multiple Human Parsing
What and Where the Themes Dominate in Image
One-Pass Incomplete Multi-view Clustering
Linear Kernel Tests via Empirical Likelihood for High Dimensional Data
Exploring Answer Stance Detection with Recurrent Conditional Attention
Refining Coarse-grained Spatial Data using Auxiliary Spatial Data Sets with Various
Separator-based Pruned Dynamic Programming for Steiner Tree
Dynamic Learning of Sequential Choice Bandit Problem under Marketing Fatigue
Context-Aware Self-Attention Networks
MRes-RGNN: A Novel Deep Learning based Framework for Traffic Prediction
Cen Chen (Hunan University); Kenli Li (Hunan University); Singee Teo (I2R); Xiaofeng Zou (Hunan
University); Kang Wang (Hunan University); Jie Wang (I2R); Zeng Zeng (I2R)*
Querying Attributed DL-Lite Ontologies using Provenance Semirings
Belief Change and Non-monotonic Reasoning sans Compactness
Translating with Bilingual Topic Knowledge for Neural Machine Translation
DeepCCFV: Camera Constraint-Free Multi-View Convolutional Neural Network for 3D
Counting and Sampling from Markov Equivalent DAGs Using Clique Trees
DTMT: A Novel Deep Transition Architecture for Neural Machine Translation
Stepping Stones to Inductive Synthesis of Low-Level Looping Programs
Deep Hierarchical Graph Convolution for Election Prediction from Geospatial Census Data
Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base
Validation of Growing Knowledge Graphs by Abductive Text Evidences
Computing a Quasi-Perfect Stackelberg Equilibrium
Differentiated Distribution Recovery for Neural Text Generation
X-DMM: Fast and Scalable Model Based Text Clustering
Structured Two-stream Attention Network for Video Question Answering
Hierarchical Macro Strategy Model for MOBA Game AI
Personalized Question Routing via Heterogeneous Network Embedding
Better Fine-tuning via Instance Weighting for Text Classification
Towards Personalized Review Summarization via User-aware Sequence Network
Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval
Surveys without Questions: A Reinforcement Learning Approach
Partial Multi-Label Learning by Low-Rank and Sparse Decomposition
Learning Semantic Representations for Novel Words: Leveraging Both Form and Context
Aligning Domain-specific Distribution and Classifier for Cross-domain Classification from
Lattice CNNs for Matching Based Chinese Question Answering
Efficient Image Retrieval via Decoupling Diffusion into Online and Offline Processing
Unsupervised Feature Selection by Pareto Optimization
Oversampling for Imbalanced Data via Optimal Transport
Collaborative, Dynamic and Diversified User Profiling
Variational Autoencoder with Implicit Optimal Priors
Document Informed Neural Autoregressive Topic Models with Distributional Prior
Learning (from) Deep Hierarchical Structure among Features
Improving Domain-independent Planning via Critical Section Macro-Operators
On the Complexity of the Inverse Semivalue Problem for Weighted Voting Games
Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival
Probabilistic Alternating-Time Mu-Calculus
SADIH: Semantic-Aware DIscrete Hashing
Sparse Reject Option Classifier using Successive Linear Programming
Walrasian Dynamics in Multi-unit Markets
Random Walk Decay Centrality
Neural Relation Extraction Within and Across Sentence Boundaries
Partial Verification as a Substitute for Money
Meimei: An Efficient Probabilistic Approach for Semantically Annotating Tables
A Sequential Set Generation Method for Predicting Set-Valued Outputs
Inter-Class Angular Loss for Convolutional Neural Networks
Meta Learning for Image Captioning
TableSense: Mask R-CNN for Spreadsheet Table Detection
Multi-agent Discussion Mechanism for Natural Language Generation
HyperAdam: A Learnable Task-Adaptive Adam for Network Training
Evolutionarily Learning Multi-aspect Interactions and Influences from Network Structure
HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Coldstart Recommendation
Unsupervised Neural Machine Translation with SMT as Posterior Regularization
Action Knowledge Transfer for Action Prediction with Partial Videos
Entity Alignment between Knowledge Graphs Using Attribute Embeddings
Operator Mutexes and Symmetries for Simplifying Planning Tasks
A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity
Bringing Order to Chaos - A Compact Representation of Partial Order in SAT-based HTN
Red-Black Heuristics for Planning Tasks with Conditional Effects
Forbidden Nodes Aware Community Search
Beyond RNNs: Positional Self-Attention with Co-Attention for Video Question Answering
Aging Evolution for Image Classifier Architecture Search
Learning Incremental Triplet Margin for Person Re-identification
An Integral Tag Recommendation Model for Textual Content
Mixture of Expert/Imitator Network: Scalable Semi-supervised Learning Framework
Exact and Approximate Weighted Model Integration with Probability Density Functions
Community Detection in Social Networks Considering Topic Correlations
A Unified Model for Opinion Target Extraction and Target Sentiment Classification
Deep Learning for Cost-Optimal Planning: Task-Dependent Planner Selection
A Memetic Approach for Sequential Security Games on a Plane with Moving Targets
Unseen Word Representation by Aligning Heterogeneous Lexical Semantic Spaces
Improving Image Captioning with Conditional Generative Adversarial Nets
Ranking-based Deep Cross-modal Hashing
DRr-Net: Dynamic Re-read Network for Sentence Semantic Matching
Optimal Interdiction of Urban Criminals with the Aid of Real-Time Information
Cash-out User Detection based on Attributed Heterogeneous Information Network with a
Relation Structure-Aware Heterogeneous Information Network Embedding
Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation
Multi-View Multi-Instance Multi-Label Learning based on Confederate Matrix
Multi-Attribute Transfer via Disentangled Representation
Learning to Solve NP-Complete Problems -- A Graph Neural Network for the Decision TSP
Sign-Full Random Projections
Transferable Interactive Memory Network for Domain Adaptation in Fine-grained
Multiple Independent Subspace Clusterings
Online Active Learning cross Multiple Tasks
Solving Integer Quadratic Programming via Explicit and Structural Restrictions
Explainable Recommendation Through Attentive Multi-View Learning
Predicting Concrete and Abstract Entities in Modern Poetry
Perceptual Pyramid Adversarial Networks for Text-to-Image Synthesis
MPD-AL: An Efficient Membrane Potential Driven Aggregate-Label Learning Algorithm for
Unsupervised Learning helps Supervised Neural Word Segmentation
Relaxing and Restraining Queries for OBDA
Sequential Scene Composition
Human-like Delicate Region Erasing Strategy for Weakly Supervised Detection
An Exponential Tail Bound for the Deleted Estimate
Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective
Optimal Dynamic Auctions are Virtual Welfare Maximizers
GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named
Partial Label Learning with Self-Guided Retraining
Scale Invariant Fully Convolutional Network: Detecting Hands Efficiently
Mode Variational LSTM Robust to Unseen Modes of Variation: Application to Facial
Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth
SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing
Collaboration based Multi-Label Learning
SuperVAE: Superpixelwise Variational Autoencoder for Salient Object Detection
PVRNet: Point-View Relation Neural Network for 3D Shape Recognition
Hypergraph Optimization for Multi-structural Geometric Model Fitting
Label Embedding with Partial Heterogeneous Contexts
Temporal Planning with Temporal Metric Trajectory Constraints
Deliberate Residual based Attention Network for Image Captioning
Understanding Pictograph with Facial Features: End-to-End Sentence-level Lip Reading of
The Adversarial Attack and Detection under the Fisher Information Metric
Scalable Recollections for Continual Lifelong Learning
Moral Permissibility of Action Plans
Personalized Robot Tutoring using the Assistive Tutor POMDP (AT-POMDP)
A Radical-aware Attention-based Model for Chinese Text Classification
Private Model Compression via Knowledge Distillation
Unbounded Orchestrations of Transducers for Manufacturing
A Generative Model for Dynamic Networks with Applications
Jointly Extracting Multi-triplets via Ranking with Translation Mechanism
Using Benson's Algorithm for Regularization Parameter Tracking
Deep Embedding Features for Salient Object Detection
Path-specific Counterfactual Fairness
Composable Modular Reinforcement Learning
Adaptive Proximal Average based Variance Reducing Stochastic Methods for
Chinese NER with Height-Limited Constituent Parsing
Understanding Dropouts in MOOCs
Enhancing Lazy Grounding with Lazy Normalization in Answer-Set Programming
Efficient Counterfactual Learning from Bandit Feedback
Hyperbolic Heterogeneous Information Network Embedding
RLTM: An Efficient Neural IR Framework for Long Documents
Attention-aware Sampling via Deep Reinforcement Learning for Action Recognition
Online Multi-Agent Pathfinding
Bayesian Fairness
Transductive Bounds for the Multi-class Majority Vote Classifier
Gated Interleaved Multi-Task Composite State Sequencing: Learning to Daisy-Chain the
Efficient and Scalable Multi-task Regression on Massive Number of Tasks
Interactive Attention Transfer Network for Cross-domain Sentiment Classification
Exploiting synthetically generated data with semi-supervised learning for small and
Improving One-Class Collaborative Filtering via Ranking-based Implicit Regularizer
Coverage Centrality Maximization in Undirected Networks
Adversarial Binary Collaborative Filtering For Implicit Feedback
DeepSTN+: Context-aware Spatial Temporal Neural Network for Crowd Flow Prediction in
Lipper: Synthesizing Thy Speech using Multi-View Lipreading
Deep Reactive Policies for Planning in Stochastic Nonlinear Domains
Approximate Stream Reasoning with Metric Temporal Logic under Uncertainty
From Independent Prediction to Re-ordered Prediction: Integrating Relative Position and
MixUp as Locally Linear Out-Of-Manifold Regularization
Sliding Window Temporal Graph Coloring
Plan-And-Write: Towards Better Automatic Storytelling
Multi-task Deep Reinforcement Learning with PopArt
Cooperation Enforcement and Collusion Resistance in Repeated Public Goods Games
Exploiting the Contagious Effect for Employee Turnover Prediction
On the Inducibility of Stackelberg Equilibrium in Security Games
Tied Transformers: Neural Machine Translation with Shared Encoder and Decoder
Automatic Code Review by Learning the Revision of Source Code
Learning Features and Abstract Actions for Computing Generalized Plans
Solving Partially Observable Stochastic Games with Public Observations
Find Me If You Can: Deep Software Clone Detection by Exploiting the Contest between
Deception in Finitely Repeated Security Games
SCNN: A General Distribution based Statistical Convolutional Neural Network with
AI-Sketcher : A Deep Generative Model for Generating High Quality Sketches
Unsupervised Stylish Image Description Generation via Domain Layer Norm
Bidirectional Transition-Based Dependency Parsing
Distributionally Robust Semi-supervised Learning for People-centric Sensing
Unsupervised Post-processing of Word Vectors via Conceptor Negation
Implanting Rational Knowledge into Distributed Representation at Morpheme Level
An Innovative Genetic Algorithm for the Quantum Circuit Compilation Problem
Counting and Sampling Markov Equivalent Directed Acyclic Graphs
A Neural Network Approach to Verb Phrase Ellipsis Resolution
Instance-level Facial Attributes Transfer with Geometry-aware Flow
Graph CNNs with Motif and Variable Temporal Block for Skeleton-based Action
Subtask Gated Networks for Non-Intrusive Load Monitoring
Guiding the One-to-one Mapping in CycleGAN via Optimal Transport
Strong Equivalence for Epistemic Logic Programs Made Easy
Communication-optimal distributed dynamic graph clustering
Efficient Temporal Planning Using Metastates
Challenges in the Automatic Analysis of Students' Diagnostic Reasoning
Efficiently Reasoning with Interval Constraints in Forward Search Planning
A Nonconvex Projection Method for Robust PCA
Automatic Bayesian Density Analysis
A Pattern-based Approach to Recognizing Time Expressions
Complex Unitary Recurrent Neural Networks using Scaled Cayley Transform
Collective Online Learning of Gaussian Processes in Massive Multi-Agent Systems
Skeleton-based Gesture Recognition Using Several Fully Connected Layers with Path
A Generalized Idiom Usage Recognition Model based on Semantic Compatibility
A Probabilistic Derivation of LASSO and L12-Norm Feature Selections
Designing Deep Generative Models for Molecular Graphs
What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP
On Strength Adjustment for MCTS-Based Programs
From Horn-SRIQ to Datalog: A Data-Independent Transformation that Preserves Assertion
Evolutionary Manytasking Optimization Based on Symbiosis in Biocoenosis
That's Mine! Learning Ownership Relations and Norms for Robots
Mining Entity Synonyms with Efficient Neural Set Generation
Character-Level Language Modeling with Deeper Self-Attention
Ontology-Based Query Answering for Probabilistic Temporal Data
On Structured Argumentation with Conditional Preferences
Making Money from What You Know - How to Sell Information?
HireNet: a Hierarchical Attention Model for the Automatic Analysis of Asynchronous
Fast Relational Probabilistic Inference and Learning: Approximate Counting via
A Reinforcement Learning Based Broker Agent for a Power Trading Competition: Design
Bayesian Graph Convolutional Neural Networks for Semi-supervised Classification
Crash to Not Crash: Learn to Identify Dangerous Vehicles using a Simulator
Granularity-Agnostic Sense Model for Word Sense Induction
End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion
Lifted Hinge-Loss Markov Random Field
Multi-unit Bilateral Trade
Robustness Guarantees for Bayesian Inference with Gaussian Processes
Robust Optimization over Multiple Domains
PerformanceNet: Score-to-Audio Music Generation with Multi-Band Convolutional
How Well Do Machines Perform on IQ tests: a Comparison Study on a Large-Scale Dataset
Allocating Interventions Based on Predicted Outcomes: A Case Study on Homelessness
An Open-World Extension to Knowledge Graph Completion Models
Interpretable preference learning: a game theoretic framework for large margin on-line
Lifelong Path Planning with Kinematic Constraints for Multi-Agent Pickup and Delivery
Exploiting Time-Series Image-to-Image Translation to Simulate Home Range Estimators in
Reasoning over Streaming Data in Metric Temporal Datalog
Building Temporal Word Embeddings with a Compass
A Bridge between Liquid and Social Welfare in Combinatorial Auctions with Submodular
Forgetting in Modular Answer Set Programming
Heuristic Voting as Ordinal Dominance Strategies
DeepFuzz: Automatic Generation of Syntax Valid C Programs for Fuzz Testing
Learning Models of Sequential Decision-Making with Partial Specification of Agent
You Get What You Share: Incentives for a Sharing Economy
Large-Scale Visual Relationship Understanding
Learning Diverse Bayesian Networks
Practical Algorithms for Multi-stage Voting Rules with Parallel Universes Tiebreaking
Attacking Data Transforming Learners at Training Time
Analyzing Compositionality-Sensitivity of NLI Models
On the True Number of Clusters in a Dataset
Multi-context System For Optimization Problems
On the Proximity of Markets with Integral Equilibria
MNCN: A Multilingual Ngram-based Convolutional Network for Aspect Category
Ontology-Mediated Query Answering over Log-Linear Probabilistic Data
A Bandit Approach to Maximum Inner Product Search
Combining Fact Extraction and Verification with Neural Semantic Matching Networks
Measurement Maximizing Adaptive Sampling With Risk Bounding Functions
Near Neighbor Approach for Learning Random Preference
Multi-Perspective Relevance Matching with Hierarchical ConvNets for Social Media
Generalized Distance Bribery
Learning Plackett-Luce Mixtures from Partial Preferences
Representing and Learning Grammars in Answer Set Programming
Resisting Adversarial Attacks using Gaussian Mixture Variational Autoencoders
Evaluating Recommender System Stability with Influence-Guided Fuzzing
Iterated Belief Base Change: a Dynamic Epistemic Logic approach
Learning to Adaptively Scale Recurrent Neural Networks
Learning Vine Copula Models For Synthetic Data Generation
Human-like Sketch Object Recognition via Analogical Learning
Robustness Envelopes for Temporal Plans
Non-Parametric Transformation Networks
Guided Dropout: A Strength Based Neuron Dropping Approach to Improve Generalization
Data Fine-tuning
Multi-task architecture learning
A PSPACE Subclass of Dependency Quantified Boolean Formulas and Its Effective Solving
Multilevel Language and Vision Integration for Text-to-Clip Retrieval
Fast PMI-Based Word Embedding with Efficient Use of Unobserved Patterns
Learning optimal classification trees using a binary linear program formulation
Manifold-valued Image Generation with Wasserstein Generative Adversarial Nets
Zero-shot Neural Transfer for Cross-lingual Entity Linking
Consensus in Opinion Formation Processes in Fully Evolving Environments
Learning Multi-task Communication with Message Passing for Sequence Learning
Learning Deviation Payoffs in Simulation-Based Games
Learning How to Ground a Plan - Partial Grounding in Classical Planning
Triple Classification Using Regions And Fine-Grained Entity Typing
Fast, Memory-Efficient and Simple Mixture of Softmaxes with BPE and Hybrid-LightRNN
Transfer Learning Only Using the Source Model and the Target Data for Sequence
Near-lossless Binarization of Word Embeddings
Gradient-based Inference for Networks with Output Constraints
Analysis of Joint Multilingual Sentence Representations and Semantic K-Nearest Neighbor
Incomplete Label Multi-task Deep Learning for Spatio-temporal Event Subtype
Improving Neural Question Generation using Answer Separation
A New Ensemble Learning Framework for 3D Biomedical Image Segmentation
Identification of Causal Effects in the Presence of Selection Bias
On the Parameters and Caveats of Mixture Models for Quantification
Contextualized Non-local Neural Networks for Sequence Learning
Robust Negative Sampling for Network Embedding
SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-task Learning
Bayesian Execution Skill Estimation
Efficient Online Learning For Mapping Kernels On Linguistic Structures
Improving Distantly Supervised Relation Extraction with Neural Noise Converter and
Dynamic Contracting under Positive Commitment
SAFE: A Neural Survival Analysis Model for Fraud Early Detection
Counting Complexity for Reasoning in Abstract Argumentation
One-Class Adversarial Nets for Fraud Detection
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert
Online Learning with Feature Space Adaptive Constraints
Structured Bayesian Networks: From Inference to Learning with Routes
Pareto Efficient Auctions with Interest Rates
Learning Triggers for Heterogeneous Treatment Effects
``Bilingual Expert" Can Find Translation Errors
Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference
Combined Reinforcement Learning via Abstract Representations
On Lifted Inference using Neural Embeddings
Algorithms for Estimating Trends in Global Temperature Volatility
Non-Asymptotic Uniform Rates of Consistency for k-NN Regression
Constraint-based Sequential Pattern Mining with Decision Diagrams
A task in a suit and a tie: paraphrase generation with semantic augmentation
Constraint-Based Explanations of Machine Learning Models
Graph based Translation Memory for Neural Machine Translation
Efficiently Combining Human Demonstrations and Interventions for Safe Training of
An Improved Generic Bet-and-Run Strategy with Performance Prediction for Stochastic
Distributional Semantics meets Multi-Label Learning
Orderly Subspace Clustering
Enriching Word Embeddings with a Regressor Instead of Labeled Corpora
Jointly Learning to Label Sentences and Tokens
Fast Iterative Combinatorial Auctions via Bayesian Learning
Updates in Human-AI Teams: Understanding and Addressing the
Concurrency Debugging with Maximum Satisfiability
Machine Learning Methods for Automatic Passive Acoustic Monitoring of the African
Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making
Improved Knowledge Graph Embedding using Background Taxonomic Information
DeepTileBars: Visualizing Term Distribution for Neural Information Retrieval
Towards Non-saturating Recurrent Units for Modelling Long-term Dependencies
An Improved Quasi-Polynomial Algorithm for Approximate Well-Supported Nash
IPOMDP-Net: A Deep Neural Network for Partially Observable Multi-Agent Planning using
Learning from Web Data using Adversarial Discriminative Neural Networks for FineGrained Classification
Dimension-free error bounds from random projections
Distributed PageRank Computation: An Improved Theoretical Study
Adversarial actor-critic method for task and motion planning problems using planning
TransConv: Relationship Embedding in Social Networks
RobustSTL: A Robust Seasonal-Trend Decomposition Procedure for Long Time Series
On Geometric Alignment in Low Doubling Dimension
ACM: Adaptive Cross-Modal Graph Convolutional Neural Networks for RGB-D Scene
PCGAN: Partition-Controlled Human Image Generation
Text Assisted Insight Ranking Using Context-Aware Memory Network
Utilizing Class Information for DNN Representation Shaping
Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games
Uncovering Specific-Shape Graph Anomalies in Attributed Graphs
Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift
QuaRel: A Dataset and Models for Answering Questions about Qualitative Relationships
Oyvind Tafjord (AI2)*; Peter Clark (Allen Institute for AI); Matt Gardner (AI2); Wen-tau Yih (Allen
Institute for Artificial Intelligence (AI2)); Ashish Sabharwal (AI2)
Rigorous Analysis of a Label Propagation Algorithm for Distributed Community Detection
Evolving Solutions to Community-Structured Satisfiability Formulas
A Deep Reinforcement Learning based Multi-Step Coarse to Fine Question Answering
Localizing Natural Language in Videos
MotionTransformer: Transferring Physical Motion Between Domains For Neural Inertial
Reasoning over Knowledge Graph Paths for Recommendation
Spatially Invariant Unsupervised Object Detection with Convolutional Neural Networks
Generation of Policy-Level Explanations for Reinforcement Learning
Adding Constraints to Bayesian Inverse Problems
Adapting Translation Models for Transcript Disfluency Detection
Improving GAN with neighbors embedding and gradient matching
Generalized Planning via Abstraction: Arbitrary Numbers of Objects
Interpretable Predictive Modeling for Climate Variables with Weighted Lasso
RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-based
AffinityNet: Semi-supervised Few-shot Learning for Disease Type Prediction
Spatio-Temporal Graph Routing for Skeleton-based Action Recognition
VistaNet: Visual Aspect Attention Network for Multimodal Sentiment Analysis
Predicting and Analyzing Language Specificity in Social Media Posts
Bidirectional Inference Networks with Application to Health Profiling
Distant Supervision for Relation Extraction with Linear Attenuation Simulation and NonIID Relevance Embedding
Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion
Yi-Qi Hu (Nanjing University)*; Yang Yu (Nanjing University); Wei-Wei Tu (4Paradigm Inc.);
Qiang Yang (Hong Kong UST); Yuqiang Chen (4th Paradigm); Wenyuan Dai (4Paradigm Inc.)
Minimum Intervention Cover of a Causal Graph
Improving Search with Supervised Learning in Trick-Based Card Games
Exploiting Background Knowledge in Compact Answer Generation for Why-questions
Story Ending Generation with Incremental Encoding and Commonsense Knowledge
Composite Binary Decomposition Network
Anchors Bring Ease: An Embarrassingly Simple Approach to Partial Multi-view Clustering
GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition
Character n-gram Embeddings to Improve RNN Language Models
Network Structure and Transfer Behaviors Embedding via Deep Prediction Model
Robust Online Matching with User Arrival Distribution Drift
Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation
A Hierarchical Multi-task Approach for Learning Embeddings from Semantic Tasks
Similarity Preserving Deep Asymmetric Quantization for Image Retrieval
Modelling Autobiographical Memory Loss Across Life Span
Convolutional Spatial Attention Model for Reading Comprehension with Multiple-Choice
Multi-Precision Quantized Neural Networks via Encoding Decomposition of {-1,+1}
Exploiting Class Learnability in Noisy Data
Matthew M Klawonn (1993)*; Eric Heim (AFRL/RI); James Hendler (RPI)
Learning Logistic Circuits
CompareLDA: A Topic Model for Document Comparison
ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning
WK-VQA: World Knowledge-enabled Visual Question Answering
Marginal Inference in Continuous Markov Random Fields using Mixtures
Predicting Argumenthood of English Preposition Phrases
Wasserstein Soft Label Propagation on Hypergraphs: Algorithm and Generalization Error
Low-rank semidefinite programming for the MAX2SAT problem
Unsupervised Bilingual Lexicon Induction from Mono-lingual Multimodal Data
Multi³Net: Segmenting Flooded Buildings via Fusion of Multiresolution, Multisensor, and
Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective
Matrix Completion for Graph-Based Deep Semi-Supervised Learning
Words Can Shift: Dynamically Adjusting Word Representations Using Nonverbal
Biologically Motivated Algorithms for Propagating Local Target Representations
Data Augmentation based on Adversarial Autoencoder Handling Imbalance for Learning
InfoVAE: Balancing Learning and Inference in Variational Autoencoders
Dueling Bandits with Qualitative Feedback
Learning Segmentation Masks with the Independence Prior
Found in Translation: Learning Robust Joint Representations by Cyclic Translations
Ladder Gamma Variational Autoencoders for Graphs
A Model-free Affective Reinforcement Learning Approach to Personalization of a Social
Clairvoyant restarts in branch-and-bound search using online tree size estimation
Tensor Decomposition for Multilayer Networks Clustering
Successor Features Based Multi-Agent RL for Event-Based Decentralized MDPs
A non-convex optimization approach to correlation clustering
A study of Education Data Mining: Evidence from a Thai University
A Deep Sequential Model for Discourse Parsing on Multi-Party Dialogues
Multiagent Decision Making For Maritime Traffic Management
Syntax-aware Neural Semantic Role Labeling
High Dimensional Clustering with $r$-nets
Factorization Machines for Knowledge Tracing
Active Sampling for Open-Set Classification without Initial Annotation
Learning Phenotypes and Dynamic Patient Representations via RNN Regularized
PGANs: Personalized Generative Adversarial Networks for ECG Generation to improve
Multi-Source Neural Variational Inference
Switch-LSTMs for Multi-Criteria Chinese Word Segmentation
Nearest-Neighbour-Induced Isolation Similarity and Its Impact on Density-Based
An Efficient Approach to Informative Feature Extraction from Multimodal Data
Poll-Confident Voters in Iterative Voting
Hierarchical Context enabled Recurrent Neural Network for Recommendation
Axiomatic Characterization of Data-Driven Influence Measures for Classification
Distant Supervision with Adapted Manual Annotations
Session-based Recommendation with Graph Neural Network
Learning Uniform Semantic Features for Natural Language and Programming Language
GlobalTrait: Personality Alignment of Multilingual Word Embeddings
On the Time Complexity of Algorithm Selection Hyper-Heuristics for Multimodal
Towards Automated Semi-Supervised Learning
Technology, Nanjing University); Tong Wei (Nanjing University); Wei-Wei Tu (4Paradigm Inc.)
Bi-Kronecker Functional Diagrams: A Novel Canonical Representation of Boolean
Paraphrase Diversification as Guided Style Transfer
Efficient Quantization for Compact Neural Networks with Binary Weights and Low
Learning Heterogeneous Spatial-Temporal Representation for Bike-sharing Demand
One for All: Neural Joint Modeling of Entities and Events
Randomized Strategies for Robust Combinatorial Optimization
Learning to Address Health Inequality in the United States with a Bayesian Decision
Accurate and Interpretable Factorization Machines
A Robust and Efficient Algorithm for the PnL problem Using Algebraic Distance to
Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint
Revisiting Projection-Free Optimization For Strongly Convex Constraint Sets
Geometric Hawkes Processes with Graph Convolutional Recurrent Neural Networks
Deictic Image Maps: An Abstraction For Learning Pose Invariant Manipulation Policies
Plan-Length Bounds: Beyond 1-way Dependency
{Enhanced Random Forest Algorithms for Partially Monotone Ordinal Classification
Active Generative Adversarial Network for Image Classification Enhancement
Universal Approximation Property and Equivalence of Stochastic Computing-based
Gaussian-Induced Convolution for Graphs
Robust Estimation of Similarity Transformation for Visual Object Tracking
Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying
Can We Obtain Reliable Learning Results for High Stakes Applications?
Satisfiability in Strategy Logic can be Easier than Model Checking
Learning A Key-Value Memory Co-Attention Matching Network for Person ReIdentification
Active Mini-Batch Sampling using Repulsive Point Processes
Hierarchical Reinforcement Learning for Course Recommendation in MOOCs
Modeling Local Dependence in Natural Language with Multi-channel Recurrent Neural
Region-based Message Exploration over Spatio-Temporal Data Streams
Bounding Uncertainty for Active Batch Selection
Direct Training for Spiking Neural Networks: Faster, Larger, Better
Skill-guided Look-ahead Exploration for Reinforcement Learning ofManipulation Policies