9: CircConv: A Structured Convolution with Low Complexity
40: Deep Single-‐View 3D Object Reconstruction with Visual Hull Embedding
56: On the Optimal Efficiency of Cost-‐Algebraic A*
61: Spatial-‐Temporal Person Re-‐identification
65: Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-‐Age Face Synthesis for Age-‐Invariant Face Recognition
74: Transferable Curriculum for Weakly-‐Supervised Domain Adaptation
76: Differential Networks for Visual Question Answering
81: PhoneMD: Learning to Diagnose Parkinson's Disease from Smartphone Data
83: Fairly Allocating Many Goods with Few Queries
115: Disjunctive Normal Form for Multi-‐Agent Modal Logics Based on Logically Separability
119: Weighted Channel Dropout for Regularization of Deep Convolutional Neural Network
134: Be Inaccurate but don’t be Indecisive: How Error Distribution Can Affect User Experience
135: Evolving Action Abstractionsfor Real-‐Time Planning in Extensive-‐Form Games
136: No-‐reference Image Quality Assessment with Reinforcement Recursive List-‐wise Ranking
141: Zero-‐Shot Object Detection with Textual Descriptions
142: Leveraging Web Semantic Knowledge in Word Representation Learning
143: Pareto Optimal Allocation under Compact Uncertain Preferences
149: FANDA: A Novel Approach to Perform Follow-‐up Query Analysis
166: Mirroring Human Manipulation Actions to Robots with Functional Equivalence
176: Object Detection based on Region Decomposition and Assembly
180: Talking Face Generation by Adversarially Disentangled Audio-‐Visual Representation
183: Weighted abstract dialectical frameworks through the lens of approximation fixpoint
188: Low-‐Distortion Social Welfare Functions
189: MetaStyle: Three-‐Way Trade-‐Off Among Speed, Flexibility and Quality in Neural Style
209: Word Embedding as Maximum A Posteriori Estimation
231: Blameworthiness in Strategic Games
233: Disentangled Variational Representation for Heterogeneous Face Recognition
234: Learning Resolution-‐Invariant Deep Representations for Person Re-‐Identification
235: Sharper Generalization Bound for the Divide-‐and-‐Conquer Ridge Regression
236: CAPNet: Continuous Approximation Projection for 3D Point Cloud Reconstruction Using 2D
246: Single-‐Label Multi-‐Class Image Classification by Deep Logistic Regression
272: Disjoint Label Space Transfer Learning with Common Factorised Space
277: Revisiting Spatial-‐Temporal Similarity: A Deep Learning Framework for Traffic Prediction
289: Improving Hypernymy Prediction via Taxonomy Enhanced Adversarial Learning
298: DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document
305: Deep Recurrent Survival Analysis
314: Safe Partial Diagnosis from Normal Observations
317: Augmenting Markov Decision Processes with Advising
322: Attention-‐based Multi-‐Context Guiding for Few-‐Shot Semantic Segmentation
323: Deep Video Frame Interpolation using Cyclic Frame Generation
325: Multi-‐view Information-‐theoretic Co-‐clustering for Co-‐occurrence Data
328: How Does Knowledge of the AUC Constrain the Set of Possible Ground-‐truth Labelings?
330: Sensitivity Analysis of Deep Neural Networks
332: Migration as Submodular Optimization
333: Scalable Distributed DL Training: Batching Communication and Computation
335: Non-‐Compensatory Psychological Models for Recommender Systems
353: Deep Interest Evolution Network for Click-‐Through Rate Prediction
362: MFBO-‐SSM: Multi-‐Fidelity Bayesian Optimization for Fast Inference in State-‐Space Models
372: FRAME Revisited: An Interpretation View Based on Particle Evolution
395: RR-‐GAN: Single Image Rain Removal Without Paired Information
403: Unsupervised Meta-‐learning of Figure-‐Ground Segmentation via Imitating Visual Effects
410: MEAL: Multi-‐Model Ensemble via Adversarial Learning
428: TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-‐Agents
436: Optimal Surveillance of Covert Networks by Minimizing Inverse Geodesic Length
444: Tracking Logical Difference in Large-‐Scale Ontologies: A Forgetting-‐Based Approach
451: Solving Imperfect-‐Information Games with Discounted Counterfactual Regret Minimization
464: ScalMC: Engineering an Efficient Approximate Model Counter
466: Learning Neural Bag-‐of-‐Matrix-‐Summarization with Riemannian Network
482: Learning Diffusions without Timestamps
487: Adversarial Dropout for Recurrent Neural Networks
503: Convergence of Learning Dynamics in Information Retrieval Games
517: Polynomial-‐time probabilistic reasoning with partial observations via implicit learning in
518: Adaptive Sparse Confidence-‐Weighted Learning for Online Feature Selection
530: Automated Verification of Social Laws for Continuous Time Multi-‐Robot Systems
534: Read, Watch, and Move: Reinforcement Learning for Temporally Grounding Natural
541: A Novel Framework for Robustness Analysis of Visual QA Models
568: Adversarial Learning for Weakly-‐Supervised Social Network Alignment
591: Rotational Diversity in Multi-‐Cycle Assignment Problems
595: TallyQA: Answering Complex Counting Questions
602: Distributionally Adversarial Attack
606: ScisummNet: A Large Annotated Corpus and Content-‐Impact Models for Scientific Paper
607: Object Reachability via Swaps along a Line
610: Recognizing Unseen Attribute-‐Object Pair with Generative Model
620: Deep Bayesian Trust : A Dominant and Fair Incentive Mechanism for Crowd
629: Knowledge-‐Driven Encode, Retrieve, Paraphrase for Medical Image Report Generation
644: Video Imprint Segmentation for Temporal Action Detection in Untrimmed Videos
648: Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks
652: On Testing of Samplers
669: A^2-‐Net: Molecular Structure Estimation for Cryo-‐EM Density Volumes
672: Template-‐Based Math Word Problem Solvers with Recursive Neural Networks
674: Learning to Embed Sentences Using Attentive Recursive Trees
679: On the Hardness of Probabilistic Inference Relaxations
697: Consensus Adversarial Domain Adaptation
700: Towards Optimal Discrete Online Hashing with Balanced Similarity
702: Determinantal reinforcement learning
717: Scene Text Recognition from Two-‐Dimensional Perspective
721: 3D Face Synthesis Driven by Personality Impression
723: Perceptual-‐Sensitive GAN for Generating Adversarial Patches
736: DDFlow: Learning Optical Flow with Unlabeled Data Distillation
750: Incorporating Behavioral Constraints in Online AI Systems
753: A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems
754: Data-‐to-‐Text Generation with Content Selection and Planning
770: How many preference pairs suffice to rank a graph consistently?
777: Allocating Search Effort When Actions Expire
778: Sentence-‐wise Smooth Regularization for Sequence to Sequence Learning
779: Sublinear Time Numerical Linear Algebra for Structured Matrices
782: HSME: Hypersphere Manifold Embedding for Visible Thermal Person Re-‐identification
786: Energy Confused Adversarial Metric Learning for Zero-‐Shot Image Retrieval and Clustering
787: Spectral Clustering in Heterogeneous Information Networks
793: Interaction-‐aware Factorization Machines
817: Residual Attribute Attention Network for Face Image Super-‐Resolution
844: Certifying the True Error: Machine Learning in Coq with Verified Generalization Guarantees
846: Differentially Private Empirical Risk Minimization with Smooth Non-‐convex Loss Functions:
851: Embedding Uncertain Knowledge Graphs
867: Self-‐Paced Active Learning: Query the Right Thing at the Right Time
880: Learning a Deep Convolutional Network for Colorization in Monochrome-‐Color Dual-‐Lens
881: Fully Convolutional Network with Multi-‐Step Reinforcement Learning for Image Processing
887: G2C: A Generator-‐to-‐Classifier Framework Integrating Multi-‐Stained Visual Cues for
913: Robustness Can Be Cheap: A Highly Efficient Approach to Discover Outliers under High
915: Hybrid Attention-‐based Prototypical Networks for Noisy Few-‐Shot Relation Classification
930: TransGate: Knowledge Graph Embedding with Shared Gate Structure
939: Performance Guarantees for Homomorphisms beyond Markov Decision Processes
941: Cross-‐view Local Structure Preserved Diversity and Consensus Learning for Multi-‐view
947: Enriching Non-‐parametric Bidirectional Search Algorithms
956: Cost-‐Sensitive Learning to Rank
957: Primarily About Primaries
971: Optimal Projection Guided Transfer Hashing for Image Retrieval
972: Safeguarded Dynamic Label Regression for Noisy Supervision
974: Neural Attentive Model for Explainable Recommendation by Learning User Dynamic
985: Learning Basis Representation to Refine 3D Human Pose Estimations
994: Efficient and Effective Incomplete Multi-‐view Clustering
1004: Multi-‐Dimensional Classification via kNN Feature Augmentation
1006: Regular Boardgames
1010: Learning to Localize Objects with Noisy Labeled Instances
1020: To Find Where You Talk: Temporal Sentence Localization in Video with Attention Based
1030: One-‐network Adversarial Fairness
1031: Spatiotemporal Multi-‐Graph Convolution Network for Ride-‐hailing Demand Forecasting
1036: Traffic Updates: Saying a Lot While Revealing a Little
1051: Revenue Enhancement Via Asymmetric Signaling in Interdependent-‐Value Auctions
1057: Safe Reinforcement Learning through Barrier Functions for Safety-‐Critical Continuous
1068: Horizontal Pyramid Matching for Person Re-‐identification
1070: STA: Spatial-‐Temporal Attention for Large-‐Scale Video-‐based Person Re-‐Identification
1076: Multi-‐scale 3D Convolution Network for Video Based Person Re-‐Identification
1077: Weakly-‐Supervised Simultaneous Evidence Identification and Segmentation for
1086: Pathological Evidence Exploration in Deep Retinal Image Diagnosis
1097: Cubic LSTMs for Video Prediction
1105: A Deep Cascade Model for Multi-‐Document Reading Comprehension
1108: Amalgamating Knowledge towards Comprehensive Classification
1109: Bounded Suboptimal Search with Learned Heuristics for Multi-‐Agent Systems
1110: Similarity Learning via Kernel Preserving Embedding
1117: Cross-‐domain Visual Representations via Unsupervised Graph Alignment
1121: A Bottom-‐Up Clustering Approach to Unsupervised Person Re-‐identification
1127: Tackling Sparse Rewards in Real-‐Time Games with Statistical Forward Planning Methods
1128: 3D Object Detection Using Scale Invariant and Feature Reweighting Networks
1147: Complexity of Abstract Argumentation Under a Claim-‐centric View
1150: Unified Embedding Alignment with Missing Views Inferring for Incomplete Multi-‐View
1157: A Hierarchical Framework for Relation Extraction with Reinforcement Learning
1158: Modular Materialisation of Datalog Programs
1169: TransNFCM: Translation-‐Based Neural Fashion Compatibility Modeling
1176: Unsupervised Fake News Detection on Social Media: A Generative Approach
1177: Deep Bayesian Optimization on Attributed Graphs
1181: Deep Latent Generative Models For Energy Disaggregation
1183: Selective Refinement Network for High Performance Face Detection
1194: GAMENet: Graph Augmented MEmory Networks for Recommending Medication
1199: The Kelly Growth Optimal Portfolio with Ensemble Learning
1200: Zero-‐Shot Adaptive Transfer for Conversational Language Understanding
1207: ABox Abduction via Forgetting in ALC
1226: Task Transfer by Preference-‐Based Cost Learning
1233: Free VQA Models from Knowledge Inertia by Pairwise Inconformity Learning
1239: Mono3D++: Monocular 3D Vehicle Detection with Two-‐Scale 3D Hypotheses and Task
1240: Video Inpainting by Jointly Learning Temporal Structure and Spatial Details
1245: End-‐to-‐End Knowledge-‐Routed Relational Dialogue System for Automatic Diagnosis
1248: Pareto-‐Optimal Allocation of Indivisible Goods with Connectivity Constraints
1250: Joint Semi-‐supervised Feature Selection and Classification Through Bayesian Approach
1284: RGBD Based Gaze Estimation via Multi-‐task CNN
1292: GeniePath: Graph Neural Networks with Adaptive Receptive Paths
1296: Balanced Linear Contextual Bandits
1303: TopicEq: A Joint Topic and Mathematical Equation Model for Scientific Texts
1304: Induction of Non-‐Monotonic Logic Programs to Explain Boosted Tree Models Using LIME
1312: Balancing Relevance and Diversity in Online Bipartite Matching via Submodularity
1317: Weakly Supervised Scene Parsing with Point-‐based Distance Metric Learning
1319: Combining Axiom Injection and Knowledge Base Completion for Efficient Natural
1320: Tile2Vec: Unsupervised representation learning for spatially distributed data
1321: Spell Once, Summon Anywhere: A Two-‐Level Open-‐Vocabulary Language Model
1332: The Pure Price of Anarchy of Pool Block Withholding Attacks in Bitcoin Mining
1335: Deep Reinforcement Learning for Syntactic Error Repair in Student Programs
1336: Switch-‐based Active Deep Dyna-‐Q: Efficient Adaptive Planning for Task-‐Completion
1346: Recurrent Attention Model for Pedestrian Attribute Recognition
1354: Scaling-‐up Split-‐Merge MCMC with Locality Sensitive Sampling (LSS)
1365: Combo-‐Action: Training Agent For FPS Game with Auxiliary Tasks
1369: Robust Metric Learning on Grassmann Manifolds with Generalization Guarantees
1370: Functional Connectivity Network Analysis with Discriminative Hub Detection for Brain
1384: Exploiting Coarse-‐to-‐Fine Task Transfer for Aspect-‐level Sentiment Classification
1386: Feature Sampling based Unsupervised Semantic Clustering for Real Web Multi-‐view
1395: Virtual-‐Taobao: Virtualizing Real-‐world Online Retail Environment for Reinforcement
1396: Cycle-‐SUM: Cycle-‐consistent Adversarial LSTM Networks for Unsupervised Video
1399: A Dual Attention Network with Semantic Embedding for Few-‐shot Learning
1405: An Axiomatic Approach to Rationality for Reinforcement Learning Agents
1407: Heterogeneous Transfer Learning via Deep Matrix Completion with Adversarial Kernel
1410: Hierarchical Attention Network for Image Captioning
1411: Bootstrap Estimated Uncertainty of the Environment Model for Model-‐based
1437: Real-‐time Planning as Decision-‐making Under Uncertainty
1449: Adversarial Label Learning
1450: Temporal anomaly detection: calibrating the surprise
1456: RSA: Byzantine-‐Robust Stochastic Aggregation Methods for Distributed Learning from
1457: Predicting Hurricane Trajectories using a Recurrent Neural Network
1460: Diverse Exploration via Conjugate Policies for Policy Gradient Methods
1468: The Goldilocks zone: Towards better understanding of neural network loss landscapes
1469: Learning to Compose Topic-‐Aware Mixture of Experts for Zero-‐Shot Video Captioning
1480: Bayesian posterior approximation via greedy particle optimization
1483: ActivityNet-‐QA: A Dataset for Understanding Complex Web Videos via Question
1484: Gaussian Transformer: a Lightweight Approach for Natural Language Inference
1496: Knowledge Distillation with Adversarial Samples Supporting Decision Boundary
1497: Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional
1498: TET-‐GAN: Text Effects Transfer via Stylization and Destylization
1504: Randomized Wagering Mechanisms
1506: Hypergraph Neural Networks
1512: Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons
1534: Cognitive Deficit of Deep Learning in Numerosity
1538: Online Pandora's Boxes and Bandits
1553: Fast Incremental SVDD Learning Algorithm with the Gaussian Kernel
1557: Projection Convolutional Neural Networks
1562: StNet: Local and Global Spatial-‐Temporal Modeling for Action Recognition
1568: Mutigrid Backprojection Super-‐Resolution and Deep Filter Visualization
1575: Capacity Control of ReLU Neural Networks by Basis-‐path Norm
1576: 3D Volumetric Modeling with Introspective Neural Networks
1578: Point Cloud Processing via Recurrent Set Encoding
1604: When Do Envy-‐Free Allocations Exist?
1609: Stochastic Submodular Maximization with Performance-‐Dependent Item Costs
1610: Learning Personalized End-‐to-‐End Goal-‐Oriented Dialog
1614: Adaptive Region Embedding for Text Classification
1620: Soft Facial Landmark Detection by Label Distribution Learning
1627: Constrained Generation via Metropolis-‐Hastings Sampling
1636: LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts
1646: Simulation-‐Based Approach to Efficient Commonsense Reasoning in Very Large
1652: On Fair Cost Sharing Games in Machine Learning
1679: DAN : Deep Attention Neural Network for News Recommendation
1680: Kernelized Hashcode Representations for Biomedical Relation Extraction
1681: TAPAS: Train-‐less Accuracy Predictor forArchitecture Search
1707: Densely Supervised Grasp Detector (DSGD)
1715: Outlier Aware Network Embedding for Attributed Networks
1717: Human Action Transfer Based on 3D Model Reconstruction
1722: Classification with Costly Features using Deep Reinforcement Learning
1723: Scene Text Detection with Supervised Pyramid Context Network
1734: Verifying Robustness of Gradient Boosting Models
1744: On Structural Causal Bandit with Non-‐manipulable Variables
1747: BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual
1748: Gradient Harmonized Single-‐stage Detector
1750: Non-‐Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial
1754: A Two-‐Stream Mutual Attention Network for Semi-‐supervised Biomedical Segmentation
1760: Block Belief Propagation for Parameter Learning in Markov Random Fields
1769: Structured and Sparse Annotations for Image Emotion Distribution Learning
1790: Deep Reinforcement Learning for Green Security Games with Real-‐Time Information
1799: Variance Reduction in Monte Carlo Regret Minimization for Extensive Games using
1802: Model-‐Free IRL using Maximum Likelihood Estimation
1806: Self-‐Supervised Video Representation Learning with Space-‐Time Cubic Puzzles
1830: Partial Awareness
1834: Memory Bounded Open-‐Loop Planning in Large POMDPs using Thompson Sampling
1838: Finding All Bayesian Network Structures within a Factor of Optimal
1852: Verification of RNN-‐Based Neural Agent-‐Environment Systems
1853: ColNet: Embedding the Semantics of Web Tables for Column Type Prediction
1855: Estimating the Causal Effect from Partially Observed Time Series
1858: Understanding Learned Models by Identifying Important Features at the Right Resolution
1863: Graph Convolutional Networks for Text Classification
1871: Distribution Consistency based Covariance Metric Networks for Few Shot Learning
1874: Group Decision Diagram (GDD): A Compact Representation for Permutations
1882: DoPAMINE: Double-‐sided Masked CNN for Pixel Adaptive Multiplicative Noise
1897: Modeling Coherence for Discourse Neural Machine Translation
1902: MR-‐NET: Exploiting Mutual Relation for Visual Relationship Detection
1915: Deeply Fusing Reviews and Contents for Cold Start Users in Cross-‐Domain
1916: Transferable Attention for Domain Adaptation
1919: Selecting Compliant Agents for Opt-‐in Micro-‐Tolling
1924: Non-‐Autoregressive Neural Machine Translation with Enhanced Decoder Input
1925: Towards Sentence-‐Level Brain Decoding with Distributed Representations
1933: A Human-‐like Semantic Cognition Network for Aspect-‐level Sentiment Classification
1935: Synergistic Image and Feature Adaptation: Towards Cross-‐Modality Domain Adaptation
1939: A Unified Approach to Online Matching with Conflict-‐Aware Constraints
1946: A Generic Approach for Accelerating Belief Propagation based DCOP Algorithms via A
1951: Non-‐ergodic Convergence Analysis of Heavy-‐Ball Algorithms
1955: Joint Dynamic Pose Image and Space Time Reversal for Human Action Recognition from
1960: Training Deep Neural Networks in Generations: A More Tolerant Teacher Educates Better
1979: Read + Verify: Machine Reading Comprehension with Unanswerable Questions
1984: Forming Probably Stable Communities with Limited Interactions
1990: From Zero-‐Shot Learning to Cold-‐Start Recommendation
1991: Detect or Track: Towards Cost-‐Effective Video Object Detection/Tracking
1993: Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple
2007: Response Generation by Context-‐aware Prototype Editing
2012: Explicit Interaction Model towards Text Classification
2013: A Theoretically Guaranteed Deep Optimization Framework for Robust Compressive
2022: Dictionary-‐Guided Editing Networks for Paraphrase Generation
2024: Unsupervised Transfer Learning for Spoken Language Understanding in Intelligent Agents
2025: M2Det: A Single-‐Shot Object detector based on Multi-‐Level Feature Pyramid Network
2036: Leveraging observations in bandits: Between risks and benefits
2061: Two-‐Stage Label Embedding via Neural Factorization Machine for MultiLabel
2065: Towards Highly Accurate and Stable Face Alignment for High-‐Resolution Videos
2070: Backbone Can Not be Trained at Once: Rolling Back to Pre-‐trained Network for Person
2071: Super Sparse Convolutional Neural Networks
2080: Discriminative Feature Learning for Unsupervised Video Summarization
2081: SVM-‐based Deep Stacking Networks
2087: View Inter-‐Prediction GAN: Unsupervised Representation Learning for 3D Shapes by
2101: MeshNet: Mesh Neural Network for 3D Shape Representation
2109: Clipped Matrix Completion: a Remedy for Ceiling Effects
2135: Cousin Network Guided Sketch Recognition via Latent Attribute Warehouse
2144: The Complexity of Computing Fair Knapsack
2145: Balanced Sparsity for Efficient DNN Inference on GPU
2158: A Two-‐Individual Based Evolutionary Algorithm for the Flexible Job Shop Scheduling
2159: Re2EMA: Regularized and Reinitialized Exponential Moving Average for Target Model
2170: On Rational Delegations in Liquid Democracy
2186: Probabilistic Model Checking of Robots Deployed in Extreme Environments
2189: Joint Representation Learning for Multi-‐Modal Transportation Recommendation
2190: Active Preference Elicitation based on Generalized Gini Functions: Application to the
2192: Recurrent Stacking of Layers for Compact Neural Machine Translation Models
2198: Dynamic Compositionality in Recursive Neural Networks with Structure-‐aware Tag
2201: Memory-‐Augmented Temporal Dynamic Learning for Action Recognition
2210: Calibrated Stochastic Gradient Descent for Convolutional Neural Networks
2230: Video Object Detection with Locally-‐Weighted Deformable Neighbors
2254: Fair Division with a Secretive Agent
2259: Play As You Like: Timbre-‐Enhanced Multi-‐modal Music Style Transfer
2277: Temporal Deformable Convolutional Encoder-‐Decoder Networks for Video Captioning
2278: Visual-‐semantic Graph Reasoning for Pedestrian Attribute Recognition
2291: Semantic Relationships Guided Representation Learning for Facial Action Unit
2297: Connecting the Digital and Physical World: Improving the Robustness of Adversarial
2298: Abstracting Causal Models
2303: Trainable Undersampling for Class-‐Imbalance Learning
2311: On Limited Conjunctions and Partial Features\\ in Parameter-‐tractable Feature Logics
2326: Scalable and Efficient Pairwise Learning to Achieve Statistical Accuracy
2327: Large-‐scale Interactive Recommendation with Tree-‐structured Policy Gradient
2329: Adversarial Learning of Semantic Relevance in Text to Image Synthesis
2331: Unsupervised Cross-‐spectral Stereo Matching by Learning to Synthesize
2333: Goal-‐oriented Dialogue Policy Learning from Failures
2340: Incorporating Commonsense Knowledge for Story Completion
2344: The SpectACl of Nonconvex Clustering: A Spectral Approach to Density-‐Based Clustering
2345: CNN-‐Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural
2351: Anytime Recursive Best-‐First Search for Bounding Marginal MAP
2359: Policy Optimization with Model-‐based Explorations
2371: Unsupervised learning with contrastive latent variable models
2372: Semi-‐Parametric Sampling for Stochasitc Bandits with Many Arms
2374: Predicting Urban Dispersal Events: A Two-‐Stage Framework through Deep Survival
2375: Combining Deep Learning and Qualitative Spatial Reasoning to Learn Complex Structures
2389: Fully Convolutional Video Captioning with Coarse-‐to-‐Fine and Inherited Attention
2391: Optimal approximation of discrete random variables for estimation of probabilities for
2399: CAFE: Adaptive VDI Workload Prediction with Multi-‐Grained Features
2402: A Better Algorithm for Societal Tradeoffs
2405: Very Hard Electoral Control Problems
2407: How to Combine Tree-‐Search Methods in Reinforcement Learning
2409: What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite
2416: A Unified Framework for Planning in Adversarial and Cooperative Environments
2433: State-‐Augmentation Transformations for Risk-‐Sensitive Reinforcement Learning
2458: Eliminating Latent Discrimination: Train Then Mask
2477: Number Sequence Prediction Problems for Evaluating Computational Powers of Neural
2483: Scalable Robust Kidney Exchange
2485: SepNE: Bringing Separability to Network Embedding
2498: Improving Natural Language Inference Using External Knowledge in the Science
2508: Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing
2511: Evolution of collective fairness in hybrid populations of humans and agents
2522: Knowledge Refinement via Rule Selection
2527: Defending Elections Against Malicious Spread of Misinformation
2545: Learning to Teach in Cooperative Multiagent Reinforcement Learning
2553: Image Block Augmentation for One-‐Shot Learning
2571: Online Embedding Compression for Text Classification using Low Rank Matrix
2579: Robust Anomaly Detection in Videos using Multilevel Representations
2590: Adversarial Training for Community Question Answer Selection Based on Multi-‐scale
2603: Y^2Seq2Seq: Cross-‐Modal Representation Learning for 3D Shape and Text by Joint
2614: Tensorial Change Analysis using Probabilistic Tensor Regression
2638: Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an
2645: Asynchronous Delay-‐Aware Accelerated Proximal Coordinate Descent for Nonconvex
2649: Sparse Adversarial Perturbations for Videos
2650: CISI-‐net: Explicit latent content inference and imitated style rendering for image
2651: EA Reader: Enhance Attentive Reader for Cloze-‐Style Question Answering via Multi-‐Space
2665: Almost Unsupervised Learning for Dense Crowd Counting
2673: Subspace Selection via DR-‐Submodular Maximization on Lattices
2680: Distribution-‐based Semi-‐Supervised Learning for Activity Recognition
2683: A distillation approach to data efficient individual treatment effect estimation
2685: Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph
2686: An Efficient Compressive Convolutional Network for Unified Object Detection and Image
2689: Multi-‐View Anomaly Detection: Neighborhood in Locality Matters
2690: Attention Based Spatial-‐Temporal Graph Convolutional Networks for Traffic Flow
2699: A SAT+CAS Approach to Finding Good Matrices: New Examples and Counterexamples
2706: Depthwise Convolution is All You Need for Learning Multiple Visual Domains
2717: Deriving Subgoals Autonomously to Accelerate Learning in Sparse Reward Domains
2721: Election with Bribed Voter Uncertainty: Hardness and Approximation Algorithm
2722: Human motion prediction via learning local structure representations and temporal
2732: Motion Guided Spatial Attention for Video Captioning
2735: Solving Large Extensive-‐Form Games with Strategy Constraints
2742: Orthogonality-‐Promoting Dictionary Learning via Bayesian Inference
2744: Re-‐evaluating ADEM: A Deeper Look at Scoring Dialogue Responses
2749: Learning Adaptive Random Features
2760: MVPNet: Multi-‐View Point Regression Networks for 3D Object Reconstruction from A
2770: Melding the Data-‐Decisions Pipeline: Decision-‐Focused Learning for Combinatorial
2772: Multi-‐Winner Contests for Strategic Diffusion in Social Networks
2784: Difficulty-‐Aware Attention Network with Confidence Learning for Medical Image
2786: B\´ezier Simplex Fitting: Describing Pareto Fronts of Simplicial Problems with Small
2789: Show, attend and read: a simple and strong baseline for recognising irregular text
2793: Unsupervised Domain Adaptation by Matching Distributions based on the Maximum
2795: Discrete Social Recommendation
2804: Diversity-‐Driven Extensible Hierarchical Reinforcement Learning
2813: Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep
2815: Spatial Mixture Models with Learnable Deep Priors for Perceptual Grouping
2831: Practical Approximate Second-‐Order Method for Training Fully-‐Connected Neural
2836: Fuzzy-‐Classification Assisted Solution Preselection in Evolutionary Optimization
2841: Compressing Recurrent Neural Networks with Tensor Ring Decomposition for Action
2849: Dependency or Span, End-‐to-‐End Uniform Semantic Role Labeling
2855: Cross-‐relation Cross-‐bag Attention for Distantly-‐supervised Relation Extraction
2858: Bias-‐Variance Trade-‐Off in Hierarchical Probabilistic Models Using Higher-‐Order Feature
2866: Semantic Adversarial Network with Multi-‐scale Pyramid Attention for Video Classification
2870: Residual Invertible Spatio-‐Temporal Network For Video Super-‐Resolution
2874: Partial Multi-‐Label Learning via Credible Label Elicitation
2886: Extension Removal in Abstract Argumentation -‐-‐ An Axiomatic Approach
2901: Deep neural networks constrained by decision rules
2924: Non-‐Autoregressive Machine Translation with Auxiliary Regularization
2929: Self-‐Supervised Mixture-‐of-‐Experts by Uncertainty Estimation
2930: Addressing the Under-‐translation Problem from the Entropy Perspective
2934: Cogra: Concept-‐drift-‐aware Stochastic Gradient Descent for Time-‐series Forecasting
2939: MLVCNN: Multi-‐Loop-‐View Convolutional Neural Network for 3D Shape Retrieval
2943: SpHMC: Spectral Hamiltonian Monte Carlo
2960: Hierarchical Attention Networks for Sentence Ordering
2972: Who Blames Whom in a Crisis? Detecting Blame Ties from News Articles Using Neural
2973: Improving Domain-‐Specific Classification by Collaborative Learning with Adaptation
2990: Learning to Align Question and Answer Utterances in Customer Service Conversation with
2997: Popularity Prediction on Online Articles with Deep Fusion of Temporal Process and
2998: An Abstraction-‐based Method for Verifying Strategic Properties in Multi-‐agent Systems
3002: Emergency Department Online Patient-‐Caregiver Scheduling
3008: Safe Policy Improvement with Baseline Bootstrapping in Factored Environments
3009: Residual Compensation Networks for Heterogeneous Face Recognition
3014: MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object Localization
3018: General Robustness Evaluation of Incentive Mechanism Against Bounded Rationality
3027: DeRPN: Taking a further step toward more general object detection
3035: Deep Neural Network Quantization via Layer-‐Wise Optimization using Limited Training
3036: Dirichlet Multinomial Mixture with Variational Manifold Regularization: Topic Modeling
3040: AFS: An Attention-‐based mechanism for Supervised Feature Selection
3045: Dual Semi-‐Supervised Learning for Facial Action Unit Recognition
3050: Do Not Vote If You Are Not Motivated
3052: Fine-‐grained search space classification for hard enumeration variants of subset problems
3053: Learning Personalized Attribute Preference via Multi-‐task AUC Optimization
3088: On-‐Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters
3090: Reasoning over Assumption-‐Based Argumentation Frameworks via Direct Answer Set
3093: Data Augmentation for Spoken Language Understanding via Joint Variational Generation
3101: Hierarchical Photo-‐Scene Encoder for Album Storytelling
3107: Computing the Yolk in Spatial Voting Games without Computing Median Lines
3115: Granger-‐causal Attentive Mixtures of Experts: Learning Important Features with Neural
3116: CAMO: A Collaborative Ranking Method for Content Based Recommendation
3123: Geometry-‐Aware Face Completion and Editing
3124: Neural Speech Synthesis with Transformer Network
3125: Incorporating Network Embedding into Markov Random Field for Better Community
3131: Turbo Learning Framework for Human-‐Object Interactions Recognition and Human Pose
3133: Semantic Sentence Matching with Densely-‐connected Recurrent and Co-‐attentive
3134: Abstractive Text Summarization by Incorporating Reader Comments
3137: I Know the Relationships: Zero-‐Shot Action Recognition via Two-‐Stream Graph
3139: Semantic Proposal for Activity Localization in Videos via Sentence Query
3144: Qualitative Spatial Logic over 2D Euclidean Spaces is Not Finitely Axiomatisable
3154: SCFont: Structure-‐guided Chinese Font Generation via Deep Stacked Networks
3156: On Resolving Ambiguous Anaphoric Expressions in Imperative Discourse
3157: Hyperprior Induced Unsupervised Disentanglement of Latent Representations
3164: Holographic Factorization Machines for Recommendation
3173: Coreset Stochastic Variance-‐Reduced Gradient with Application to Optimal Margin
3179: Long Short-‐Term Memory with Dynamic Skip Connections
3183: Generating Distractors for Reading Comprehension Questions from Real Examinations
3186: On Completing Sparse Knowledge Graph with Transitive Relation Embedding
3191: UGSD: User Generated Sentiment Dictionaries from Online Customer Reviews
3193: Unsupervised Domain Adaptation Based on Source-‐guided Discrepancy
3205: Hierarchical Encoder with Auxiliary Supervision for Table-‐to-‐text Generation: Learning
3207: SAM-‐Net: Integrating Event-‐Level and Chain-‐Level Attentions to Predict What Happens
3210: Title-‐Guided Encoding for Keyphrase Generation
3218: Argumentation for Explainable Scheduling
3228: Trust Region Evolution Strategies
3231: Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning
3233: Theoretical Analysis of Label Distribution Learning
3237: Human-‐in-‐the-‐Loop Feature Selection
3241: A Framework to Coordinate Segmentation and Recognition
3243: Multi-‐labeled Relation Extraction with Attentive Capsule Network
3249: Efficient Gaussian Process Classification Using Polya-‐Gamma Data Augmentation
3255: Hierarchical Classification based on Label Distribution Learning
3268: Reverse-‐Engineering Satire, or "Paper on Computational Humor Criticized for Making
3271: Refining Abstraction Heuristics During Real-‐Time Planning
3275: A Generalized Language Model in Tensor Space
3278: Learning Disentangled Representation with Pairwise Independence
3283: Cooperative Multimodal Approach to Depression Detection in Twitter
3288: Greedy maximization of functions with bounded curvature under partition matroid
3295: Preference-‐aware Task Assignment in Spatial Crowdsourcing
3300: Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient
3315: EnsNet: Ensconce Text in the Wild
3316: A Framework for Approval-‐based Budgeting Methods
3325: Data-‐Adaptive Metric Learning with Scale Alignment
3329: Solving Concurrent Multiagent Planning using Classical Planning
3343: Iterative Classroom Teaching
3347: ReAl-‐LiFE: Accelerating the discovery of individualized brain connectomes on GPUs
3350: A Powerful Global Test Statistic for Functional Statistical Inference
3351: Approximation and Hardness of Shift-‐Bribery
3362: Learning Attribute-‐Specific Representations for Visual Tracking
3367: Multi-‐Interactive Memory Network for Aspect Based Multimodal Sentiment Analysis
3375: Learning Non-‐Uniform Hypergraph for Multi-‐Object Tracking
3384: A Multi-‐Agent Communication Framework for Question-‐Worthy Phrase Extraction and
3393: Dependency Grammar Induction with a Neural Variational Transition-‐Based Parser
3395: How Similar Are Two Elections?
3401: Exploiting Sentence Embedding for Medical Question Answering
3404: Temporal Bilinear Networks for Video Action Recognition
3408: Exploring Lexical Knowledge in an Interpretable Composed Approach for Text Entailment
3417: Learning the Optimal Strategy to Commit to
3427: INTERPRETATION OF NEURAL NETWORKS IS FRAGILE
3441: Meta-‐descent for online, continual prediction
3444: Recurrent Poisson Process Unit for Speech Recognition
3447: Lifted Proximal Operator Machine
3453: Hotels-‐50K: A Global Hotel Recognition Dataset
3455: Submodular Optimization Over Streams with Inhomogeneous Decays
3463: Weisfeiler and Leman Go Neural: Higher-‐order Graph Neural Networks
3467: Bayesian Deep Collaborative Matrix Factorization
3468: Learning Object Context for Dense Captioning
3483: Preference-‐Aware Task Assignment in On-‐demand Taxi Dispatching: An Online Stable
3489: Deep Cascade Multi-‐task Learning for Slot Filling in Online Shopping Assistant
3490: A Grammar-‐Based Structural CNN Decoder for Code Generation
3497: Building Causal Graphs from Medical Literature and Electronic Medical Records
3507: Generating Live Soccer-‐Match Commentary from Play Data
3515: Communication Efficient Stochastic Gradient MCMC for Neural Networks
3526: Multi-‐order Attentive Ranking Model for Sequential Recommendation
3529: Training Complex Models with Multi-‐Task Weak Supervision
3538: Learning a Visual Tracker from a Single Movie without Annotation
3540: Attentive Temporal Pyramid Network for Dynamic Scene Classification
3542: Learning Resource Allocation and Pricing for Cloud Profit Maximization
3543: SDRL: Interpretable and Data-‐efficient Deep Reinforcement Learning Leveraging Symbolic
3549: Exploring Human Reading Cognition for Abstractive Text Summarization
3561: Block-‐Dropout: Efficient Training Method for Multi-‐Agent Deep Reinforcement Learning
3574: Image Saliency Prediction in Transformed Domain: A Deep Complex Neural Network
3580: Detecting Incongruity Between News Headline and Body Text via a Deep Hierarchical
3583: Multi-‐Matching Network for Multiple Choice Reading Comprehension
3586: Blameworthiness in Multi-‐Agent Settings
3606: A Comparative Analysis of Expected and Distributional Reinforcement Learning
3610: Dynamic Capsule Attention for Visual Question Answering
3612: State Abstraction as Compression in Apprenticeship Learning
3616: Model-‐Based Diagnosis for Cyber-‐Physical Production Systems based on Machine
3619: Depth prediction without the sensors: Leveraging structure for unsupervised learning
3622: Deep Convolutional Sum-‐Product Networks
3625: Deep Metric Learning by Online Soft Mining and Class-‐Aware Attention
3626: Learning Competitive and Discriminative Reconstructions for Anomaly Detection
3627: Adversarial Unsupervised Representation Learning for Activity Time-‐Series
3632: Deep Transformation Method for Discriminant Feature Extraction from Multi-‐Channel
3633: Generalized Batch Normalization
3637: Efficient Concept Induction for Description Logics
3640: Learning Set Functions with Limited Complementarity
3648: COALA: A Neural Coverage-‐Based Approach for Long Answer Selection with Small Data
3659: Interactive Semantic Parsing for If-‐Then Recipes via Hierarchical Reinforcement Learning
3663: Group Fairness for Indivisible Goods Allocation
3665: Towards Better Interpretability in Deep Q-‐Networks
3669: CycleEmotionGAN: Emotional Semantic Consistency Preserved CycleGAN for Adapting
3671: An Equivalence Between Wagering and Fair-‐Division Mechanisms
3682: Toward Fast, Automatic, Privacy-‐Preserving Learning of Optimal Network Resource
3690: Automated Rule Base Completion as Bayesian Concept Induction
3692: Which Factorization Machine Modeling is Better: A Theoretical Answer with Optimal
3695: Theory of Minds: Understanding Behavior in Groups Through Inverse Planning
3696: Bias Reduction via End-‐to-‐End Shift Learning: Application to Citizen Science
3698: Self-‐Adversarially Learned Bayesian Sampling
3701: Learning to Communicate and Solve Visual Blocks-‐World Tasks
3706: Beyond Speech: Generalizing D-‐Vectors for Biometric Verification
3717: Mechanism Design for Multi-‐type Housing Markets with Acceptable Bundles
3720: Active Learning of Multi-‐class Classification Models from Ordered Class Sets
3722: Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications
3724: Interpreting Deep Models for Text Analysis via Optimization and Regularization Methods
3732: Inverse Abstraction of Neural Networks Using Symbolic Interpolation
3739: Hybrid Reinforcement Learning with Expert State Sequences
3752: Explicitly Imposing Constraints in Deep Networks Via Conditional Gradients Gives
3753: On-‐line Adaptative Curriculum Learning for GANs
3767: When do Words Matter? Understanding the Impact of Lexical Choice on Audience
3768: Running Time Analysis of MOEA/D with Crossover on Discrete Optimization Problem
3771: Neural Machine Translation with Adequacy-‐Oriented Learning
3773: Multistream Classification with Relative Density Ratio Estimation
3779: SAT-‐based Explicit LTLf Satisfiability Checking
3782: Bayesian functional optimisation with shape prior
3783: From Recommendation Systems to Facility Location Games
3789: A PAC Framework for Aggregating Agents' Judgments
3790: ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation
3795: Violence Rating Prediction from Movie Scripts
3797: Task Embedded Coordinate Update: A Realizable Framework for Multivariate Non-‐convex
3805: "Reverse Gerrymandering": Manipulation in Multi-‐Group Decision Making
3818: Understanding Story Characters, Movie Actors and Their Versatility with Gaussian
3823: A Recursive Algorithm for Projected Model Counting
3824: Algorithms for Average Regret Minimization
3826: A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in
3830: Adjusting Reviewer Scores in Conference Reviewing
3855: Regularizing Neural Machine Translation by Target-‐bidirectional Agreement
3858: Multi-‐Agent Path Finding for Large Agents
3868: Dynamic Layer Aggregation for Neural Machine Translation
3873: Natural Option Critic
3875: Random Feature Maps for Itemset Kernel
3877: Symmetry Breaking Constraints for Grid-‐based Multi-‐Agent Path Finding
3886: Fair and Efficient Memory Sharing: Confronting Free Riders
3900: Network Recasting: A Universal Method for Network Architecture Transformation
3904: Dynamic Spatial-‐Temporal Graph Convolutional Neural Networks for Traffic Forecasting
3912: Deep Robust Unsupervised Multi-‐Modal Network
3914: Interleave Variational Optimization with Monte Carlo Sampling: A Tale of Two
3916: Declarative Question Answering over Knowledge Bases containing Natural Language Text
3922: Probabilistic Logic Programming with Beta-‐Distributed Random Variables
3927: Embedding-‐based Complex Feature Value Coupling Learning for Detecting Outliers in
3929: LabelForest: Non-‐Parametric Semi-‐Supervised Learning for Activity Recognition
3931: Learning Dynamic Generator Model by Alternating Back-‐Propagation
3934: Connecting Language to Images: A Progressive Attention-‐Guided Network for
3940: Multi-‐Level Deep Cascade Trees for Conversion Rate Prediction in Recommendation
3958: Congestion Graphs for Automated Time Predictions
3970: A Topic-‐Aware Reinforced Model for Weakly Supervised Stance Detection
3975: Heuristic Search Algorithm for Dimensionality Reduction Optimally Combining Feature
3978: DeepCF: A Unified Framework of Representation Learning and Matching Function
3999: Random Dictators with a Random Referee: Constant Sample Complexity Mechanisms for
4013: Answer Identification from Product Reviews for User Questions by Multi-‐task Attentive
4020: Exploiting Local Feature Patterns for Unsupervised Domain Adaptation
4024: Weakly-‐Supervised Hierarchical Text Classification
4025: Convex Formulations for Fair Principal Component Analysis
4026: Acting and Planning Using Operational Models
4029: Learning Transferable Self-‐attentive Representations for Action Recognition in
4035: Compiling Bayesian Network Classifiers into Decision Graphs
4039: ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search
4041: Partial Label Learning via Label Enhancement
4044: DialogueRNN: An Attentive RNN for Emotion Detection in Conversations
4047: Learning Fully Dense Neural Networks for Image Semantic Segmentation
4048: Robust Deep Co-‐Saliency Detection with Group Semantic
4049: QUOTA: The Quantile Option Architecture for Reinforcement Learning
4053: Smooth Deep Image Generator from Noises
4059: Attentive Tensor Product Learning
4066: Complex Moment-‐Based Supervised Eigenmap for Dimensionality Reduction
4068: Task-‐Driven Common Representation Learning via Bridge Neural Network
4074: HAS-‐QA: Hierarchical Answer Spans Model for Open-‐domain Question Answering
4077: Efficient Data Point Pruning for One-‐Class SVM
4078: R\(\textrm{S}^3\)CIS: Robust Single-‐Step Spectral Clustering with Intrinsic Subspace
4082: Hierarchically Structured Reinforcement Learning for Topically Coherent Visual Story
4096: Online Convex Optimization for Sequential Decision Processes and Extensive-‐Form Games
4105: Dual-‐view Ranking with Hardness Assessment for Zero-‐shot Learning
4114: Generating Character Descriptions for Automatic Summarization of Fiction
4115: Image Aesthetic Assessment Assisted by Attributes through Adversarial Learning
4120: Hashtag Recommendation for Photo Sharing Services
4121: Spatial and Temporal Mutual Promotion for Video-‐based Person Re-‐identification
4124: Joint Extraction of Entities and Overlapping Relations using Position-‐Attentive Sequence
4137: Generating Multiple Diverse Responses for Short-‐Text Conversation
4162: Asynchronous Proximal Stochastic Gradient Algorithm for Composition Optimization
4175: What If We Simply Swap the Two Text Fragments? A Straightforward yet Effective Way to
4176: f-‐Similarity Preservation Loss for Soft Labels: A Demonstration on Cross-‐Corpus Speech
4180: A Domain Generalization Perspective on Listwise Context Modeling
4189: On Sampling Complexity of the Semidefinite Affine Rank Feasibility Problem
4198: Angular Triplet-‐Center Loss for Multi-‐view 3D Shape Retrieval
4206: Neural Collective Graphical Models for Estimating Spatio-‐temporal Population Flow from
4208: Automatic Construction of Parallel Portfolios via Explicit Instance Grouping
4211: Understanding VAEs in Fisher-‐Shannon Plane
4235: Latent Dirichlet Allocation for Internet Price War
4239: Multiple Saliency and Channel Sensitivity Network for Aggregated Convolutional Feature
4240: Precision-‐Recall versus Accuracy and the Role of Large Data Sets
4246: Exploiting the Ground-‐Truth: An Adversarial Imitation Based Knowledge Distillation
4250: DeepETA: A Spatial-‐temporal Sequential Neural Network Model for Estimating Time of
4251: Deep Short Text Classification with Knowledge Powered Attention
4252: LENA: Locality-‐Expanded Neural Embedding for Knowledge Base Completion
4257: Optimizing Discount & Reputation Trade-‐offs in E-‐commerce Systems: Characterization
4267: DeepDPM: Dynamic Population Mapping via Deep Neural Network
4268: Community Focusing: Yet Another Query-‐Dependent Community Detection
4277: Weighted Oblique Decision Trees
4293: Counterfactual Randomization: Rescuing Experimental Studies from Obscured
4296: A Layer Decomposition-‐Recomposition Framework for Neuron Pruning towards Accurate
4297: FLEX: Faithful Linguistic Explanations for Neural Net based Model Decisions
4306: Markov Random Field meets Graph Convolutional Network: End-‐to-‐End Learning for
4307: Antonym-‐Synonym Classification based on New Sub-‐space Embeddings
4315: Large-‐Scale Heterogeneous Feature Embedding
4320: Curse of Concentration in Robust Learning: Evasion and Poisoning Attacks from
4329: Incorporating Semantic Similarity with Geographic Correlation for Query-‐POI Relevance
4335: Multi-‐CGN: Graph Convolutional Networks for Multi-‐View Networks, with Applications to
4342: On Reinforcement Learning for Full-‐length Game of StarCraft
4350: Quantifying Uncertainties in Natural Language Processing Tasks
4359: MFPCA: Multiscale Functional Principal Component Analysis
4364: Visual Place Recognition via Simultaneously Minimizing and Maximizing p-‐Order L2-‐Norm
4365: Data-‐Distortion Guided Self-‐Distillation for Deep Neural Networks
4374: Covariate Shift Adaptation on Learning from Positive and Unlabeled Data
4375: Comparative Summarisation of Document Collections
4379: Understanding Persuasion Cascades in Online Product Rating Systems
4382: Generating Chinese Ci with Designated Metrical Structure
4385: Distributed Representation of Words in Cause and Effect Spaces
4389: ClusterGAN : Latent Space Clustering in Generative Adversarial Networks
4400: Unknown Agents in Friends Oriented Hedonic Games: Stability and Complexity
4402: Domain Agnostic Real-‐Valued Specificity Prediction
4404: Biomedical Image Segmentation via Representative Annotation
4410: BiHMP-‐GAN: Bidirectional 3D Human Motion Prediction GAN
4416: Robust Multi-‐Agent Reinforcement Learning via Minimax Deep Deterministic Policy
4423: Insufficient Data Can Also Rock！Learning to Converse Using Smaller Data with
4430: Approximate Inference of Outcomes in Probabilistic Elections
4433: The Utility of Sparse Representations for Control in Reinforcement Learning
4435: Learning to Write Creative Stories with Thematic Consistency
4444: Few-‐Shot Image and Sentence Matching via Gated Visual-‐Semantic Embedding
4454: Pareto Optimization for Subset Selection with Dynamic Cost Constraints
4455: Modelling of Bi-‐directional Spatio-‐Temporal Dependence and Users' Dynamic Preferences
4461: Implicit Argument Prediction as Reading Comprehension
4465: Searching with Consistent Prioritization for Multi-‐Agent Path Finding
4477: Self-‐Ensembling Attention Networks: Addressing Domain Shift for Semantic
4478: Recursively Learning Causal Structures Using Regression-‐based Conditional Independence
4483: Approximate Kernel Selection with Strong Approximate Consistency
4495: RecurJac : An Efficient Recursive Algorithm for Bounding Jacobian Matrix of General
4498: Frame and Feature-‐Context Video Super-‐Resolution
4499: Improving Optimization Bounds using Machine Learning: Decision Diagrams meet Deep
4500: Crawling the Community Structure of Multiplex Networks
4517: Robust Ordinal Embedding from Contaminated Relative Comparisons
4518: Learning Compact Model for Large-‐Scale Multi-‐Label Data
4528: Efficient Identification of Approximate Best Configuration of Training in Large Datasets
4533: Unsupervised Controllable Text Formalization
4542: Model-‐based Diagnosis of Hybrid Systems using Satisfiability Modulo Theory
4550: Supervised User Ranking in Signed Social Networks
4557: Devil in the Details: Towards Accurate Single and Multiple Human Parsing
4561: What and Where the Themes Dominate in Image
4562: One-‐Pass Incomplete Multi-‐view Clustering
4563: Linear Kernel Tests via Empirical Likelihood for High Dimensional Data
4569: Exploring Answer Stance Detection with Recurrent Conditional Attention
4575: Refining Coarse-‐grained Spatial Data using Auxiliary Spatial Data Sets with Various
4578: Separator-‐based Pruned Dynamic Programming for Steiner Tree
4583: Dynamic Learning of Sequential Choice Bandit Problem under Marketing Fatigue
4589: Context-‐Aware Self-‐Attention Networks
4591: MRes-‐RGNN: A Novel Deep Learning based Framework for Traffic Prediction
4595: Querying Attributed DL-‐Lite Ontologies using Provenance Semirings
4601: Belief Change and Non-‐monotonic Reasoning sans Compactness
4605: Translating with Bilingual Topic Knowledge for Neural Machine Translation
4607: DeepCCFV: Camera Constraint-‐Free Multi-‐View Convolutional Neural Network for 3D
4622: Counting and Sampling from Markov Equivalent DAGs Using Clique Trees
4631: DTMT: A Novel Deep Transition Architecture for Neural Machine Translation
4632: Stepping Stones to Inductive Synthesis of Low-‐Level Looping Programs
4653: Deep Hierarchical Graph Convolution for Election Prediction from Geospatial Census Data
4661: Multi-‐Task Learning with Multi-‐View Attention for Answer Selection and Knowledge Base
4677: Validation of Growing Knowledge Graphs by Abductive Text Evidences
4685: Computing a Quasi-‐Perfect Stackelberg Equilibrium
4711: Differentiated Distribution Recovery for Neural Text Generation
4720: X-‐DMM: Fast and Scalable Model Based Text Clustering
4724: Structured Two-‐stream Attention Network for Video Question Answering
4736: Hierarchical Macro Strategy Model for MOBA Game AI
4737: Personalized Question Routing via Heterogeneous Network Embedding
4743: Better Fine-‐tuning via Instance Weighting for Text Classification
4746: Towards Personalized Review Summarization via User-‐aware Sequence Network
4747: Coupled CycleGAN: Unsupervised Hashing Network for Cross-‐Modal Retrieval
4773: Surveys without Questions: A Reinforcement Learning Approach
4783: Partial Multi-‐Label Learning by Low-‐Rank and Sparse Decomposition
4788: Learning Semantic Representations for Novel Words: Leveraging Both Form and Context
4799: Aligning Domain-‐specific Distribution and Classifier for Cross-‐domain Classification from
4802: Lattice CNNs for Matching Based Chinese Question Answering
4808: Efficient Image Retrieval via Decoupling Diffusion into Online and Offline Processing
4810: Unsupervised Feature Selection by Pareto Optimization
4816: Oversampling for Imbalanced Data via Optimal Transport
4820: Collaborative, Dynamic and Diversified User Profiling
4836: Variational Autoencoder with Implicit Optimal Priors
4838: Document Informed Neural Autoregressive Topic Models with Distributional Prior
4841: Learning (from) Deep Hierarchical Structure among Features
4852: Improving Domain-‐independent Planning via Critical Section Macro-‐Operators
4853: On the Complexity of the Inverse Semivalue Problem for Weighted Voting Games
4855: Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival
4865: Probabilistic Alternating-‐Time Mu-‐Calculus
4880: SADIH: Semantic-‐Aware DIscrete Hashing
4891: Sparse Reject Option Classifier using Successive Linear Programming
4898: Walrasian Dynamics in Multi-‐unit Markets
4902: Random Walk Decay Centrality
4905: Neural Relation Extraction Within and Across Sentence Boundaries
4907: Partial Verification as a Substitute for Money
4912: Meimei: An Efficient Probabilistic Approach for Semantically Annotating Tables
4918: A Sequential Set Generation Method for Predicting Set-‐Valued Outputs
4932: Inter-‐Class Angular Loss for Convolutional Neural Networks
4938: Meta Learning for Image Captioning
4947: TableSense: Mask R-‐CNN for Spreadsheet Table Detection
4963: Multi-‐agent Discussion Mechanism for Natural Language Generation
4964: HyperAdam: A Learnable Task-‐Adaptive Adam for Network Training
4966: Evolutionarily Learning Multi-‐aspect Interactions and Influences from Network Structure
4980: Unsupervised Neural Machine Translation with SMT as Posterior Regularization
4989: Action Knowledge Transfer for Action Prediction with Partial Videos
5002: Entity Alignment between Knowledge Graphs Using Attribute Embeddings
5010: Operator Mutexes and Symmetries for Simplifying Planning Tasks
5020: A Neural Multi-‐Task Learning Framework to Jointly Model Medical Named Entity
5021: Bringing Order to Chaos -‐ A Compact Representation of Partial Order in SAT-‐based HTN
5022: Red-‐Black Heuristics for Planning Tasks with Conditional Effects
5023: Forbidden Nodes Aware Community Search
5030: Beyond RNNs: Positional Self-‐Attention with Co-‐Attention for Video Question Answering
5048: Aging Evolution for Image Classifier Architecture Search
5056: Learning Incremental Triplet Margin for Person Re-‐identification
5058: An Integral Tag Recommendation Model for Textual Content
5069: Mixture of Expert/Imitator Network: Scalable Semi-‐supervised Learning Framework
5082: Exact and Approximate Weighted Model Integration with Probability Density Functions
5084: Community Detection in Social Networks Considering Topic Correlations
5092: A Unified Model for Opinion Target Extraction and Target Sentiment Classification
5097: Deep Learning for Cost-‐Optimal Planning: Task-‐Dependent Planner Selection
5118: A Memetic Approach for Sequential Security Games on a Plane with Moving Targets
5120: Unseen Word Representation by Aligning Heterogeneous Lexical Semantic Spaces
5123: Improving Image Captioning with Conditional Generative Adversarial Nets
5134: Ranking-‐based Deep Cross-‐modal Hashing
5147: DRr-‐Net: Dynamic Re-‐read Network for Sentence Semantic Matching
5150: Optimal Interdiction of Urban Criminals with the Aid of Real-‐Time Information
5163: Cash-‐out User Detection based on Attributed Heterogeneous Information Network with a
5171: Relation Structure-‐Aware Heterogeneous Information Network Embedding
5172: Where to Go Next: A Spatio-‐Temporal Gated Network for Next POI Recommendation
5189: Multi-‐View Multi-‐Instance Multi-‐Label Learning based on Confederate Matrix
5195: Multi-‐Attribute Transfer via Disentangled Representation
5204: Learning to Solve NP-‐Complete Problems -‐-‐ A Graph Neural Network for the Decision TSP
5211: Sign-‐Full Random Projections
5216: Transferable Interactive Memory Network for Domain Adaptation in Fine-‐grained
5218: Multiple Independent Subspace Clusterings
5221: Online Active Learning cross Multiple Tasks
5225: Solving Integer Quadratic Programming via Explicit and Structural Restrictions
5238: Explainable Recommendation Through Attentive Multi-‐View Learning
5255: Predicting Concrete and Abstract Entities in Modern Poetry
5266: Perceptual Pyramid Adversarial Networks for Text-‐to-‐Image Synthesis
5274: MPD-‐AL: An Efficient Membrane Potential Driven Aggregate-‐Label Learning Algorithm for
5279: Unsupervised Learning helps Supervised Neural Word Segmentation
5286: Relaxing and Restraining Queries for OBDA
5293: Sequential Scene Composition
5295: Human-‐like Delicate Region Erasing Strategy for Weakly Supervised Detection
5296: An Exponential Tail Bound for the Deleted Estimate
5298: Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective
5312: Optimal Dynamic Auctions are Virtual Welfare Maximizers
5320: GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named
5321: Partial Label Learning with Self-‐Guided Retraining
5324: Scale Invariant Fully Convolutional Network: Detecting Hands Efficiently
5325: Mode Variational LSTM Robust to Unseen Modes of Variation: Application to Facial
5329: Faster Gradient-‐Free Proximal Stochastic Methods for Nonconvex Nonsmooth
5331: SEGAN: Structure-‐Enhanced Generative Adversarial Network for Compressed Sensing
5339: Collaboration based Multi-‐Label Learning
5345: SuperVAE: Superpixelwise Variational Autoencoder for Salient Object Detection
5358: PVRNet: Point-‐View Relation Neural Network for 3D Shape Recognition
5370: Hypergraph Optimization for Multi-‐structural Geometric Model Fitting
5383: Label Embedding with Partial Heterogeneous Contexts
5388: Temporal Planning with Temporal Metric Trajectory Constraints
5390: Deliberate Residual based Attention Network for Image Captioning
5391: Understanding Pictograph with Facial Features: End-‐to-‐End Sentence-‐level Lip Reading of
5396: The Adversarial Attack and Detection under the Fisher Information Metric
5415: Scalable Recollections for Continual Lifelong Learning
5422: Moral Permissibility of Action Plans
5438: Personalized Robot Tutoring using the Assistive Tutor POMDP (AT-‐POMDP)
5441: A Radical-‐aware Attention-‐based Model for Chinese Text Classification
5442: Private Model Compression via Knowledge Distillation
5448: Unbounded Orchestrations of Transducers for Manufacturing
5450: A Generative Model for Dynamic Networks with Applications
5454: Jointly Extracting Multi-‐triplets via Ranking with Translation Mechanism
5456: Using Benson's Algorithm for Regularization Parameter Tracking
5461: Deep Embedding Features for Salient Object Detection
5465: Path-‐specific Counterfactual Fairness
5474: Composable Modular Reinforcement Learning
5482: Adaptive Proximal Average based Variance Reducing Stochastic Methods for
5484: Chinese NER with Height-‐Limited Constituent Parsing
5487: Understanding Dropouts in MOOCs
5490: Enhancing Lazy Grounding with Lazy Normalization in Answer-‐Set Programming
5491: Efficient Counterfactual Learning from Bandit Feedback
5492: Hyperbolic Heterogeneous Information Network Embedding
5530: RLTM: An Efficient Neural IR Framework for Long Documents
5540: Attention-‐aware Sampling via Deep Reinforcement Learning for Action Recognition
5556: Online Multi-‐Agent Pathfinding
5560: Bayesian Fairness
5570: Transductive Bounds for the Multi-‐class Majority Vote Classifier
5576: Gated Interleaved Multi-‐Task Composite State Sequencing: Learning to Daisy-‐Chain the
5579: Efficient and Scalable Multi-‐task Regression on Massive Number of Tasks
5583: Interactive Attention Transfer Network for Cross-‐domain Sentiment Classification
5593: Exploiting synthetically generated data with semi-‐supervised learning for small and
5596: Improving One-‐Class Collaborative Filtering via Ranking-‐based Implicit Regularizer
5611: Coverage Centrality Maximization in Undirected Networks
5622: Adversarial Binary Collaborative Filtering For Implicit Feedback
5624: DeepSTN+: Context-‐aware Spatial Temporal Neural Network for Crowd Flow Prediction in
5625: Lipper: Synthesizing Thy Speech using Multi-‐View Lipreading
5626: Deep Reactive Policies for Planning in Stochastic Nonlinear Domains
5628: Approximate Stream Reasoning with Metric Temporal Logic under Uncertainty
5630: From Independent Prediction to Re-‐ordered Prediction: Integrating Relative Position and
5633: MixUp as Locally Linear Out-‐Of-‐Manifold Regularization
5656: Sliding Window Temporal Graph Coloring
5658: Plan-‐And-‐Write: Towards Better Automatic Storytelling
5666: Multi-‐task Deep Reinforcement Learning with PopArt
5671: Cooperation Enforcement and Collusion Resistance in Repeated Public Goods Games
5676: Exploiting the Contagious Effect for Employee Turnover Prediction
5679: On the Inducibility of Stackelberg Equilibrium in Security Games
5688: Tied Transformers: Neural Machine Translation with Shared Encoder and Decoder
5691: Automatic Code Review by Learning the Revision of Source Code
5695: Learning Features and Abstract Actions for Computing Generalized Plans
5699: Solving Partially Observable Stochastic Games with Public Observations
5709: Find Me If You Can: Deep Software Clone Detection by Exploiting the Contest between
5713: Deception in Finitely Repeated Security Games
5715: SCNN: A General Distribution based Statistical Convolutional Neural Network with
5717: AI-‐Sketcher : A Deep Generative Model for Generating High Quality Sketches
5723: Unsupervised Stylish Image Description Generation via Domain Layer Norm
5729: Bidirectional Transition-‐Based Dependency Parsing
5745: Distributionally Robust Semi-‐supervised Learning for People-‐centric Sensing
5754: Unsupervised Post-‐processing of Word Vectors via Conceptor Negation
5756: Implanting Rational Knowledge into Distributed Representation at Morpheme Level
5758: An Innovative Genetic Algorithm for the Quantum Circuit Compilation Problem
5765: Counting and Sampling Markov Equivalent Directed Acyclic Graphs
5766: A Neural Network Approach to Verb Phrase Ellipsis Resolution
5768: Instance-‐level Facial Attributes Transfer with Geometry-‐aware Flow
5773: Graph CNNs with Motif and Variable Temporal Block for Skeleton-‐based Action
5790: Subtask Gated Networks for Non-‐Intrusive Load Monitoring
5793: Guiding the One-‐to-‐one Mapping in CycleGAN via Optimal Transport
5807: Strong Equivalence for Epistemic Logic Programs Made Easy
5809: Communication-‐optimal distributed dynamic graph clustering
5812: Efficient Temporal Planning Using Metastates
5820: Challenges in the Automatic Analysis of Students' Diagnostic Reasoning
5828: Efficiently Reasoning with Interval Constraints in Forward Search Planning
5833: A Nonconvex Projection Method for Robust PCA
5839: Automatic Bayesian Density Analysis
5846: A Pattern-‐based Approach to Recognizing Time Expressions
5853: Complex Unitary Recurrent Neural Networks using Scaled Cayley Transform
5855: Collective Online Learning of Gaussian Processes in Massive Multi-‐Agent Systems
5873: Skeleton-‐based Gesture Recognition Using Several Fully Connected Layers with Path
5882: A Generalized Idiom Usage Recognition Model based on Semantic Compatibility
5886: A Probabilistic Derivation of LASSO and L12-‐Norm Feature Selections
5893: Designing Deep Generative Models for Molecular Graphs
5894: What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP
5898: On Strength Adjustment for MCTS-‐Based Programs
5901: From Horn-‐SRIQ to Datalog: A Data-‐Independent Transformation that Preserves Assertion
5910: Evolutionary Manytasking Optimization Based on Symbiosis in Biocoenosis
5917: That's Mine! Learning Ownership Relations and Norms for Robots
5921: Mining Entity Synonyms with Efficient Neural Set Generation
5925: Character-‐Level Language Modeling with Deeper Self-‐Attention
5928: Ontology-‐Based Query Answering for Probabilistic Temporal Data
5931: On Structured Argumentation with Conditional Preferences
5934: Making Money from What You Know -‐ How to Sell Information?
5951: HireNet: a Hierarchical Attention Model for the Automatic Analysis of Asynchronous
5952: Fast Relational Probabilistic Inference and Learning: Approximate Counting via
5965: A Reinforcement Learning Based Broker Agent for a Power Trading Competition: Design
5968: Bayesian Graph Convolutional Neural Networks for Semi-‐supervised Classification
5970: Crash to Not Crash: Learn to Identify Dangerous Vehicles using a Simulator
5972: Granularity-‐Agnostic Sense Model for Word Sense Induction
5974: End-‐to-‐end Structure-‐Aware Convolutional Networks for Knowledge Base Completion
5977: Lifted Hinge-‐Loss Markov Random Field
5978: Multi-‐unit Bilateral Trade
5988: Robustness Guarantees for Bayesian Inference with Gaussian Processes
5994: Robust Optimization over Multiple Domains
6001: PerformanceNet: Score-‐to-‐Audio Music Generation with Multi-‐Band Convolutional
6002: How Well Do Machines Perform on IQ tests: a Comparison Study on a Large-‐Scale Dataset
6007: Allocating Interventions Based on Predicted Outcomes: A Case Study on Homelessness
6029: An Open-‐World Extension to Knowledge Graph Completion Models
6031: Interpretable preference learning: a game theoretic framework for large margin on-‐line
6035: Lifelong Path Planning with Kinematic Constraints for Multi-‐Agent Pickup and Delivery
6038: Exploiting Time-‐Series Image-‐to-‐Image Translation to Simulate Home Range Estimators in
6049: Reasoning over Streaming Data in Metric Temporal Datalog
6057: Building Temporal Word Embeddings with a Compass
6066: A Bridge between Liquid and Social Welfare in Combinatorial Auctions with Submodular
6074: Forgetting in Modular Answer Set Programming
6080: Heuristic Voting as Ordinal Dominance Strategies
6090: DeepFuzz: Automatic Generation of Syntax Valid C Programs for Fuzz Testing
6091: Learning Models of Sequential Decision-‐Making with Partial Specification of Agent
6095: You Get What You Share: Incentives for a Sharing Economy
6098: Large-‐Scale Visual Relationship Understanding
6105: Learning Diverse Bayesian Networks
6120: Practical Algorithms for Multi-‐stage Voting Rules with Parallel Universes Tiebreaking
6136: Attacking Data Transforming Learners at Training Time
6140: Analyzing Compositionality-‐Sensitivity of NLI Models
6141: On the True Number of Clusters in a Dataset
6148: Multi-‐context System For Optimization Problems
6155: On the Proximity of Markets with Integral Equilibria
6156: MNCN: A Multilingual Ngram-‐based Convolutional Network for Aspect Category
6166: Ontology-‐Mediated Query Answering over Log-‐Linear Probabilistic Data
6180: A Bandit Approach to Maximum Inner Product Search
6192: Combining Fact Extraction and Verification with Neural Semantic Matching Networks
6193: Measurement Maximizing Adaptive Sampling With Risk Bounding Functions
6196: Near Neighbor Approach for Learning Random Preference
6198: Multi-‐Perspective Relevance Matching with Hierarchical ConvNets for Social Media
6208: Generalized Distance Bribery
6217: Learning Plackett-‐Luce Mixtures from Partial Preferences
6221: Representing and Learning Grammars in Answer Set Programming
6224: Resisting Adversarial Attacks using Gaussian Mixture Variational Autoencoders
6229: Evaluating Recommender System Stability with Influence-‐Guided Fuzzing
6263: Iterated Belief Base Change: a Dynamic Epistemic Logic approach
6273: Learning to Adaptively Scale Recurrent Neural Networks
6276: Learning Vine Copula Models For Synthetic Data Generation
6279: Human-‐like Sketch Object Recognition via Analogical Learning
6285: Robustness Envelopes for Temporal Plans
6288: Non-‐Parametric Transformation Networks
6296: Guided Dropout: A Strength Based Neuron Dropping Approach to Improve Generalization
6316: Data Fine-‐tuning
6318: Multi-‐task architecture learning
6329: A PSPACE Subclass of Dependency Quantified Boolean Formulas and Its Effective Solving
6338: Multilevel Language and Vision Integration for Text-‐to-‐Clip Retrieval
6354: Fast PMI-‐Based Word Embedding with Efficient Use of Unobserved Patterns
6365: Learning optimal classification trees using a binary linear program formulation
6381: Manifold-‐valued Image Generation with Wasserstein Generative Adversarial Nets
6382: Zero-‐shot Neural Transfer for Cross-‐lingual Entity Linking
6390: Consensus in Opinion Formation Processes in Fully Evolving Environments
6399: Learning Multi-‐task Communication with Message Passing for Sequence Learning
6403: Learning Deviation Payoffs in Simulation-‐Based Games
6405: Learning How to Ground a Plan -‐ Partial Grounding in Classical Planning
6406: Triple Classification Using Regions And Fine-‐Grained Entity Typing
6411: Fast, Memory-‐Efficient and Simple Mixture of Softmaxes with BPE and Hybrid-‐LightRNN
6418: Transfer Learning Only Using the Source Model and the Target Data for Sequence
6420: Near-‐lossless Binarization of Word Embeddings
6432: Gradient-‐based Inference for Networks with Output Constraints
6442: Analysis of Joint Multilingual Sentence Representations and Semantic K-‐Nearest Neighbor
6445: Incomplete Label Multi-‐task Deep Learning for Spatio-‐temporal Event Subtype
6451: Improving Neural Question Generation using Answer Separation
6455: A New Ensemble Learning Framework for 3D Biomedical Image Segmentation
6461: Identification of Causal Effects in the Presence of Selection Bias
6465: On the Parameters and Caveats of Mixture Models for Quantification
6485: Contextualized Non-‐local Neural Networks for Sequence Learning
6491: Robust Negative Sampling for Network Embedding
6494: SNR: Sub-‐Network Routing for Flexible Parameter Sharing in Multi-‐task Learning
6498: Bayesian Execution Skill Estimation
6509: Efficient Online Learning For Mapping Kernels On Linguistic Structures
6510: Improving Distantly Supervised Relation Extraction with Neural Noise Converter and
6523: Dynamic Contracting under Positive Commitment
6525: SAFE: A Neural Survival Analysis Model for Fraud Early Detection
6531: Counting Complexity for Reasoning in Abstract Argumentation
6536: One-‐Class Adversarial Nets for Fraud Detection
6537: CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert
6539: Online Learning with Feature Space Adaptive Constraints
6540: Structured Bayesian Networks: From Inference to Learning with Routes
6541: Pareto Efficient Auctions with Interest Rates
6544: Learning Triggers for Heterogeneous Treatment Effects
6558: ``Bilingual Expert" Can Find Translation Errors
6560: Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference
6574: Combined Reinforcement Learning via Abstract Representations
6587: On Lifted Inference using Neural Embeddings
6593: Algorithms for Estimating Trends in Global Temperature Volatility
6594: Non-‐Asymptotic Uniform Rates of Consistency for k-‐NN Regression
6595: Constraint-‐based Sequential Pattern Mining with Decision Diagrams
6597: A task in a suit and a tie: paraphrase generation with semantic augmentation
6600: Constraint-‐Based Explanations of Machine Learning Models
6611: Graph based Translation Memory for Neural Machine Translation
6613: Efficiently Combining Human Demonstrations and Interventions for Safe Training of
6617: An Improved Generic Bet-‐and-‐Run Strategy with Performance Prediction for Stochastic
6621: Distributional Semantics meets Multi-‐Label Learning
6632: Orderly Subspace Clustering
6635: Enriching Word Embeddings with a Regressor Instead of Labeled Corpora
6649: Jointly Learning to Label Sentences and Tokens
6663: Fast Iterative Combinatorial Auctions via Bayesian Learning
6668: Updates in Human-‐AI Teams: Understanding and Addressing the
6669: Concurrency Debugging with Maximum Satisfiability
6672: Machine Learning Methods for Automatic Passive Acoustic Monitoring of the African
6708: Learning Optimal and Fair Decision Trees for Non-‐Discriminative Decision-‐Making
6710: Improved Knowledge Graph Embedding using Background Taxonomic Information
6719: DeepTileBars: Visualizing Term Distribution for Neural Information Retrieval
6721: Towards Non-‐saturating Recurrent Units for Modelling Long-‐term Dependencies
6725: An Improved Quasi-‐Polynomial Algorithm for Approximate Well-‐Supported Nash
6736: IPOMDP-‐Net: A Deep Neural Network for Partially Observable Multi-‐Agent Planning using
6747: Dimension-‐free error bounds from random projections
6748: Distributed PageRank Computation: An Improved Theoretical Study
6751: Adversarial actor-‐critic method for task and motion planning problems using planning
6773: TransConv: Relationship Embedding in Social Networks
6777: RobustSTL: A Robust Seasonal-‐Trend Decomposition Procedure for Long Time Series
6781: On Geometric Alignment in Low Doubling Dimension
6788: ACM: Adaptive Cross-‐Modal Graph Convolutional Neural Networks for RGB-‐D Scene
6793: PCGAN: Partition-‐Controlled Human Image Generation
6798: Text Assisted Insight Ranking Using Context-‐Aware Memory Network
6818: Utilizing Class Information for DNN Representation Shaping
6839: Large Scale Learning of Agent Rationality in Two-‐Player Zero-‐Sum Games
6844: Uncovering Specific-‐Shape Graph Anomalies in Attributed Graphs
6845: Off-‐Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift
6869: QuaRel: A Dataset and Models for Answering Questions about Qualitative Relationships
6880: Rigorous Analysis of a Label Propagation Algorithm for Distributed Community Detection
6881: Evolving Solutions to Community-‐Structured Satisfiability Formulas
6886: A Deep Reinforcement Learning based Multi-‐Step Coarse to Fine Question Answering
6893: Localizing Natural Language in Videos
6894: MotionTransformer: Transferring Physical Motion Between Domains For Neural Inertial
6897: Reasoning over Knowledge Graph Paths for Recommendation
6907: Spatially Invariant Unsupervised Object Detection with Convolutional Neural Networks
6915: Generation of Policy-‐Level Explanations for Reinforcement Learning
6921: Adding Constraints to Bayesian Inverse Problems
6940: Adapting Translation Models for Transcript Disfluency Detection
6951: Improving GAN with neighbors embedding and gradient matching
6962: Generalized Planning via Abstraction: Arbitrary Numbers of Objects
6971: Interpretable Predictive Modeling for Climate Variables with Weighted Lasso
6974: RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-‐based
6975: AffinityNet: Semi-‐supervised Few-‐shot Learning for Disease Type Prediction
6992: Spatio-‐Temporal Graph Routing for Skeleton-‐based Action Recognition
7005: VistaNet: Visual Aspect Attention Network for Multimodal Sentiment Analysis
7009: Predicting and Analyzing Language Specificity in Social Media Posts
7013: Bidirectional Inference Networks with Application to Health Profiling
7015: Multi-‐Fidelity Automatic Hyper-‐Parameter Tuning via Transfer Series Expansion
7022: Minimum Intervention Cover of a Causal Graph
7023: Improving Search with Supervised Learning in Trick-‐Based Card Games
7028: Exploiting Background Knowledge in Compact Answer Generation for Why-‐questions
7061: Story Ending Generation with Incremental Encoding and Commonsense Knowledge
7063: Composite Binary Decomposition Network
7085: Anchors Bring Ease: An Embarrassingly Simple Approach to Partial Multi-‐view Clustering
7092: GaitSet: Regarding Gait as a Set for Cross-‐View Gait Recognition
7094: Character n-‐gram Embeddings to Improve RNN Language Models
7117: Network Structure and Transfer Behaviors Embedding via Deep Prediction Model
7122: Robust Online Matching with User Arrival Distribution Drift
7133: Controllable Image-‐to-‐Video Translation: A Case Study on Facial Expression Generation
7138: A Hierarchical Multi-‐task Approach for Learning Embeddings from Semantic Tasks
7147: Similarity Preserving Deep Asymmetric Quantization for Image Retrieval
7159: Modelling Autobiographical Memory Loss Across Life Span
7164: Convolutional Spatial Attention Model for Reading Comprehension with Multiple-‐Choice
7182: Multi-‐Precision Quantized Neural Networks via Encoding Decomposition of {-‐1,+1}
7188: Exploiting Class Learnability in Noisy Data
7194: Learning Logistic Circuits
7195: CompareLDA: A Topic Model for Document Comparison
7196: ATOMIC: An Atlas of Machine Commonsense for If-‐Then Reasoning
7214: WK-‐VQA: World Knowledge-‐enabled Visual Question Answering
7217: Marginal Inference in Continuous Markov Random Fields using Mixtures
7220: Predicting Argumenthood of English Preposition Phrases
7221: Wasserstein Soft Label Propagation on Hypergraphs: Algorithm and Generalization Error
7225: Low-‐rank semidefinite programming for the MAX2SAT problem
7226: Unsupervised Bilingual Lexicon Induction from Mono-‐lingual Multimodal Data
7233: Multi³Net: Segmenting Flooded Buildings via Fusion of Multiresolution, Multisensor, and
7236: Revisiting LSTM Networks for Semi-‐Supervised Text Classification via Mixed Objective
7240: Matrix Completion for Graph-‐Based Deep Semi-‐Supervised Learning
7242: Words Can Shift: Dynamically Adjusting Word Representations Using Nonverbal
7259: Biologically Motivated Algorithms for Propagating Local Target Representations
7261: Data Augmentation based on Adversarial Autoencoder Handling Imbalance for Learning
7290: InfoVAE: Balancing Learning and Inference in Variational Autoencoders
7292: Dueling Bandits with Qualitative Feedback
7332: Learning Segmentation Masks with the Independence Prior
7354: Found in Translation: Learning Robust Joint Representations by Cyclic Translations
7394: Ladder Gamma Variational Autoencoders for Graphs
7397: A Model-‐free Affective Reinforcement Learning Approach to Personalization of a Social
7399: Clairvoyant restarts in branch-‐and-‐bound search using online tree size estimation
7403: Tensor Decomposition for Multilayer Networks Clustering
7418: Successor Features Based Multi-‐Agent RL for Event-‐Based Decentralized MDPs
7422: A non-‐convex optimization approach to correlation clustering
7437: A study of Education Data Mining: Evidence from a Thai University
7440: A Deep Sequential Model for Discourse Parsing on Multi-‐Party Dialogues
7447: Multiagent Decision Making For Maritime Traffic Management
7468: Syntax-‐aware Neural Semantic Role Labeling
7476: High Dimensional Clustering with $r$-‐nets
7479: Factorization Machines for Knowledge Tracing
7498: Active Sampling for Open-‐Set Classification without Initial Annotation
7499: Learning Phenotypes and Dynamic Patient Representations via RNN Regularized
7512: PGANs: Personalized Generative Adversarial Networks for ECG Generation to improve
7543: Multi-‐Source Neural Variational Inference
7545: Switch-‐LSTMs for Multi-‐Criteria Chinese Word Segmentation
7564: Nearest-‐Neighbour-‐Induced Isolation Similarity and Its Impact on Density-‐Based
7577: An Efficient Approach to Informative Feature Extraction from Multimodal Data
7591: Poll-‐Confident Voters in Iterative Voting
7598: Hierarchical Context enabled Recurrent Neural Network for Recommendation
7605: Axiomatic Characterization of Data-‐Driven Influence Measures for Classification
7608: Distant Supervision with Adapted Manual Annotations
7635: Session-‐based Recommendation with Graph Neural Network
7647: Learning Uniform Semantic Features for Natural Language and Programming Language
7656: GlobalTrait: Personality Alignment of Multilingual Word Embeddings
7667: On the Time Complexity of Algorithm Selection Hyper-‐Heuristics for Multimodal
7688: Towards Automated Semi-‐Supervised Learning
7692: Bi-‐Kronecker Functional Diagrams: A Novel Canonical Representation of Boolean
7703: Paraphrase Diversification as Guided Style Transfer
7713: Efficient Quantization for Compact Neural Networks with Binary Weights and Low
7721: Learning Heterogeneous Spatial-‐Temporal Representation for Bike-‐sharing Demand
7770: One for All: Neural Joint Modeling of Entities and Events
7772: Randomized Strategies for Robust Combinatorial Optimization
7815: Learning to Address Health Inequality in the United States with a Bayesian Decision
7833: Accurate and Interpretable Factorization Machines
7837: A Robust and Efficient Algorithm for the PnL problem Using Algebraic Distance to
7839: Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint
7860: Revisiting Projection-‐Free Optimization For Strongly Convex Constraint Sets
7866: Geometric Hawkes Processes with Graph Convolutional Recurrent Neural Networks
7891: Deictic Image Maps: An Abstraction For Learning Pose Invariant Manipulation Policies
7899: Plan-‐Length Bounds: Beyond 1-‐way Dependency
7938: {Enhanced Random Forest Algorithms for Partially Monotone Ordinal Classification
7946: Active Generative Adversarial Network for Image Classification Enhancement
7954: Universal Approximation Property and Equivalence of Stochastic Computing-‐based
7955: Gaussian-‐Induced Convolution for Graphs
7976: Robust Estimation of Similarity Transformation for Visual Object Tracking
7996: Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying
8001: Can We Obtain Reliable Learning Results for High Stakes Applications?
8010: Satisfiability in Strategy Logic can be Easier than Model Checking
8021: Active Mini-‐Batch Sampling using Repulsive Point Processes
8023: Hierarchical Reinforcement Learning for Course Recommendation in MOOCs
8047: Modeling Local Dependence in Natural Language with Multi-‐channel Recurrent Neural
8049: Region-‐based Message Exploration over Spatio-‐Temporal Data Streams
8103: Bounding Uncertainty for Active Batch Selection
8106: Direct Training for Spiking Neural Networks: Faster, Larger, Better
8110: Skill-‐guided Look-‐ahead Exploration for Reinforcement Learning ofManipulation Policies
