AAAI-19录用论文清单
2024-04-25 05:23:08
AAAI-19于1月27日在夏威夷召开，今年是33届会议。
会议录用论文清单, workshop16个，tutorials24个。
标题的词云分析：
作者单位词云(按作者人数计算/一篇文章可能有多个作者)：
picture from lonelyplanet.com
下面给出接收论文的列表：
第一个数字表示投稿的序号&内容可能有缺失
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 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