aaai 2018 论文列表
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, (AAAI-18), the 30th innovative Applications of Artificial Intelligence (IAAI-18), and the 8th AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018.
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MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence.
Learning an Image-based Obstacle Detector With Automatic Acquisition of Training Data.
Democratization of Deep Learning Using DARVIZ.
BaitBuster: A Clickbait Identification Framework.
PegasusN: A Scalable and Versatile Graph Mining System.
Dataset Evolver: An Interactive Feature Engineering Notebook.
Agent Assist: Automating Enterprise IT Support Help Desks.
Perception-Action-Learning System for Mobile Social-Service Robots Using Deep Learning.
A Cognitive Assistant for Visualizing and Analyzing Exoplanets.
Constructing Domain-Specific Search Engines With No Programming.
Vertical Domain Text Classification: Towards Understanding IT Tickets Using Deep Neural Networks.
A Unified Implicit Dialog Framework for Conversational Commerce.
Water Advisor - A Data-Driven, Multi-Modal, Contextual Assistant to Help With Water Usage Decisions.
Lookine: Let the Blind Hear a Smile.
Interactive Machine Learning at Scale With CHISSL.
Generative Adversarial Networks and Probabilistic Graph Models for Hyperspectral Image Classification.
Joint Learning of Evolving Links for Dynamic Network Embedding.
Variance Reduced K-Means Clustering.
A Semi-Supervised Network Embedding Model for Protein Complexes Detection.
Bayesian Network Structure Learning: The Two-Step Clustering-Based Algorithm.
Learning Attention Model From Human for Visuomotor Tasks.
Path-Based Attention Neural Model for Fine-Grained Entity Typing.
Discriminative Semi-Supervised Feature Selection via Rescaled Least Squares Regression-Supplement.
Fast Approximate Nearest Neighbor Search via k-Diverse Nearest Neighbor Graph.
Deep Embedding for Determining the Number of Clusters.
Exploring Relevance Judgement Inspired by Quantum Weak Measurement.
A New Benchmark and Evaluation Schema for Chinese Typo Detection and Correction.
Uncovering Scene Context for Predicting Privacy of Online Shared Images.
Label Space Driven Heterogeneous Transfer Learning With Web Induced Alignment.
Dialogue Generation With GAN.
Different Cycle, Different Assignment: Diversity in Assignment Problems With Multiple Cycles.
Explainable Cross-Domain Recommendations Through Relational Learning.
Efficient Support Vector Machine Training Algorithm on GPUs.
Towards Better Variational Encoder-Decoders in Seq2Seq Tasks.
Solving Generalized Column Subset Selection With Heuristic Search.
Relating Children's Automatically Detected Facial Expressions to Their Behavior in RoboTutor.
Indirect Reciprocity and Costly Assessment in Multiagent Systems.
Predicting Depression Severity by Multi-Modal Feature Engineering and Fusion.
Lifelong Learning Networks: Beyond Single Agent Lifelong Learning.
Personalized Human Activity Recognition Using Convolutional Neural Networks.
Rating Super-Resolution Microscopy Images With Deep Learning.
Influence Maximization for Social Network Based Substance Abuse Prevention.
Adversary Is the Best Teacher: Towards Extremely Compact Neural Networks.
Comparing Reward Shaping, Visual Hints, and Curriculum Learning.
Memory Management With Explicit Time in Resource-Bounded Agents.
Automated Question Answering System for Community-Based Questions.
Playing SNES Games With NeuroEvolution of Augmenting Topologies.
Goal Recognition in Incomplete Domain Models.
Constructing Hierarchical Bayesian Networks With Pooling.
Exploring the Use of Shatter for AllSAT Through Ramsey-Type Problems.
Towards Neural Speaker Modeling in Multi-Party Conversation: The Task, Dataset, and Models.
Balancing Lexicographic Fairness and a Utilitarian Objective With Application to Kidney Exchange.
Decision Making Over Combinatorially-Structured Domains.
Semantic Understanding for Contextual In-Video Advertising.
Imitation Upper Confidence Bound for Bandits on a Graph.
A Novel Embedding Method for News Diffusion Prediction.
Generative Adversarial Network for Abstractive Text Summarization.
NuMWVC: A Novel Local Search for Minimum Weighted Vertex Cover Problem.
Sentiment Lexicon Enhanced Attention-Based LSTM for Sentiment Classification.
Consonant-Vowel Sequences as Subword Units for Code-Mixed Languages.
Skyline Computation for Low-Latency Image-Activated Cell Identification.
Identifying Emotional Support in Online Health Communities.
Learning Abduction Under Partial Observability.
Contextual Collaborative Filtering for Student Response Prediction in Mixed-Format Tests.
Generating Image Captions in Arabic Using Root-Word Based Recurrent Neural Networks and Deep Neural Networks.
StackReader: An RNN-Free Reading Comprehension Model.
Dynamic Detection of Communities and Their Evolutions in Temporal Social Networks.
Towards Experienced Anomaly Detector Through Reinforcement Learning.
Bayesian Optimization Meets Search Based Optimization: A Hybrid Approach for Multi-Fidelity Optimization.
Enhancing RNN Based OCR by Transductive Transfer Learning From Text to Images.
AdGAP: Advanced Global Average Pooling.
A Framework for Evaluating Barriers to the Democratization of Artificial Intelligence.
Learning Feature Representations for Keyphrase Extraction.
Deep Modeling of Social Relations for Recommendation.
Adversarial Goal Generation for Intrinsic Motivation.
Multi-Label Community-Based Question Classification via Personalized Sequence Memory Network Learning.
Preliminary Results on Exploration-Driven Satisfiability Solving.
"Did I Say Something Wrong?": Towards a Safe Collaborative Chatbot.
Visual Recognition in Very Low-Quality Settings: Delving Into the Power of Pre-Training.
Negative-Aware Influence Maximization on Social Networks.
Selecting Proper Multi-Class SVM Training Methods.
A Stratified Feature Ranking Method for Supervised Feature Selection.
FR-ANet: A Face Recognition Guided Facial Attribute Classification Network.
Conditional Linear Regression.
Proposition Entailment in Educational Applications Using Deep Neural Networks.
Learning to Detect Pointing Gestures From Wearable IMUs.
Training Autoencoders in Sparse Domain.
Plan-Based Intention Revision.
Building More Explainable Artificial Intelligence With Argumentation.
Enhancing Machine Learning Classification for Electrical Time Series Applications.
Identifying Private Content for Online Image Sharing.
Efficiency and Safety in Autonomous Vehicles Through Planning With Uncertainty.
Hierarchical Methods for a Unified Approach to Discourse, Domain, and Style in Neural Conversational Models.
Game-Theoretic Threat Screening and Deceptive Techniques for Cyber Defense.
Cross-Lingual Learning With Distributed Representations.
Reading With Robots: Towards a Human-Robot Book Discussion System for Elderly Adults.
Constraint Satisfaction Techniques for Combinatorial Problems.
Complexity of Optimally Defending and Attacking a Network.
Adaptive and Dynamic Team Formation for Strategic and Tactical Planning.
Sequential Decision Making in Artificial Musical Intelligence.
Guaranteed Plans for Multi-Robot Systems via Optimization Modulo Theories.
Probabilistic Planning With Influence Diagrams.
Decomposition-Based Solving Approaches for Stochastic Constraint Optimisation.
Reasonableness Monitors.
Spatio-Temporal Model for Wildlife Poaching Prediction Evaluated Through a Controlled Field Test in Uganda.
Abstraction Sampling in Graphical Models.
FgER: Fine-Grained Entity Recognition.
A Brief History and Recent Achievements in Bidirectional Search.
Engineering Pro-Sociality With Autonomous Agents.
Imagination Machines: A New Challenge for Artificial Intelligence.
Learning Fast and Slow: Levels of Learning in General Autonomous Intelligent Agents.
AI Meets Chemistry.
Computational Social Choice and Computational Complexity: BFFs?
Learning Constraints From Examples.
Clustering - What Both Theoreticians and Practitioners Are Doing Wrong.
Model AI Assignments 2018.
Introducing AI to Undergraduate Students via Computer Vision Projects.
A Driving License for Intelligent Systems.
Mighty Thymio for University-Level Educational Robotics.
Introducing Machine Learning Concepts by Training a Neural Network to Recognize Hand Gestures.
Addressing the Technical, Philosophical, and Ethical Issues of Artificial Intelligence Through Active Learning Class Assignments.
On the Importance of a Research Data Archive.
Predictive Modeling of Learning Continuation in Preschool Education Using Temporal Patterns of Development Tests.
An E-Learning Recommender That Helps Learners Find the Right Materials.
Diagnosing University Student Subject Proficiency and Predicting Degree Completion in Vector Space.
Investigating Active Learning for Concept Prerequisite Learning.
Dropout Model Evaluation in MOOCs.
Introducing Ethical Thinking About Autonomous Vehicles Into an AI Course.
Gesturing and Embodiment in Teaching: Investigating the Nonverbal Behavior of Teachers in a Virtual Rehearsal Environment .
Data Analysis Competition Platform for Educational Purposes: Lessons Learned and Future Challenges.
AI Challenges in Synthetic Biology Engineering.
Batting Order Setup in One Day International Cricket.
Is a Picture Worth a Thousand Words? A Deep Multi-Modal Architecture for Product Classification in E-Commerce.
Deep Mars: CNN Classification of Mars Imagery for the PDS Imaging Atlas.
Mars Target Encyclopedia: Rock and Soil Composition Extracted From the Literature.
Gesture Annotation With a Visual Search Engine for Multimodal Communication Research.
DarkEmbed: Exploit Prediction With Neural Language Models.
VoC-DL: Revisiting Voice Of Customer Using Deep Learning.
Aida: Intelligent Image Analysis to Automatically Detect Poems in Digital Archives of Historic Newspapers.
Adapting to Concept Drift in Credit Card Transaction Data Streams Using Contextual Bandits and Decision Trees.
TipMaster: A Knowledge Base of Authoritative Local News Sources on Social Media.
A Water Demand Prediction Model for Central Indiana.
Computer-Assisted Authoring for Natural Language Story Scripts.
Learning to Become an Expert: Deep Networks Applied to Super-Resolution Microscopy.
Investigating the Role of Ensemble Learning in High-Value Wine Identification.
Multi-Task Deep Learning for Predicting Poverty From Satellite Images.
Mobile Network Failure Event Detection and Forecasting With Multiple User Activity Data Sets.
Upping the Game of Taxi Driving in the Age of Uber.
Discovering Program Topoi Through Clustering.
Optimal Pricing for Distance-Based Transit Fares.
Classification of Malware by Using Structural Entropy on Convolutional Neural Networks.
Assessing National Development Plans for Alignment With Sustainable Development Goals via Semantic Search.
InspireMe: Learning Sequence Models for Stories.
SPOT Poachers in Action: Augmenting Conservation Drones With Automatic Detection in Near Real Time.
Novel Exploration Techniques (NETs) for Malaria Policy Interventions.
CRM Sales Prediction Using Continuous Time-Evolving Classification.
Death vs. Data Science: Predicting End of Life.
Bandit-Based Solar Panel Control.
SmartHS: An AI Platform for Improving Government Service Provision.
Sentient Ascend: AI-Based Massively Multivariate Conversion Rate Optimization.
Hi, How Can I Help You?: Automating Enterprise IT Support Help Desks.
Horizontal Scaling With a Framework for Providing AI Solutions Within a Game Company.
An Automated Employee Timetabling System for Small Businesses.
Sketch Worksheets in STEM Classrooms: Two Deployments.
Secure and Automated Enterprise Revenue Forecasting.
Understanding Human Behaviors in Crowds by Imitating the Decision-Making Process.
3D Box Proposals From a Single Monocular Image of an Indoor Scene.
HCVRD: A Benchmark for Large-Scale Human-Centered Visual Relationship Detection.
Deep Structured Learning for Visual Relationship Detection.
Learning Adversarial 3D Model Generation With 2D Image Enhancer.
Progressive Cognitive Human Parsing.
Graph Correspondence Transfer for Person Re-Identification.
Towards Automatic Learning of Procedures From Web Instructional Videos.
Deep Reinforcement Learning for Unsupervised Video Summarization With Diversity-Representativeness Reward.
FLIC: Fast Linear Iterative Clustering With Active Search.
Accelerated Training for Massive Classification via Dynamic Class Selection.
Face Sketch Synthesis From Coarse to Fine.
Kill Two Birds With One Stone: Weakly-Supervised Neural Network for Image Annotation and Tag Refinement.
Audio Visual Attribute Discovery for Fine-Grained Object Recognition.
Mix-and-Match Tuning for Self-Supervised Semantic Segmentation.
A Deep Ranking Model for Spatio-Temporal Highlight Detection From a 360◦ Video.
Deep Stereo Matching With Explicit Cost Aggregation Sub-Architecture.
Co-Saliency Detection Within a Single Image.
Hierarchical Discriminative Learning for Visible Thermal Person Re-Identification.
Unsupervised Learning of Geometry From Videos With Edge-Aware Depth-Normal Consistency.
Towards Perceptual Image Dehazing by Physics-Based Disentanglement and Adversarial Training.
Exploring Temporal Preservation Networks for Precise Temporal Action Localization.
Understanding Image Impressiveness Inspired by Instantaneous Human Perceptual Cues.
Multi-Scale Bidirectional FCN for Object Skeleton Extraction.
Domain-Shared Group-Sparse Dictionary Learning for Unsupervised Domain Adaptation.
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition.
Unsupervised Part-Based Weighting Aggregation of Deep Convolutional Features for Image Retrieval.
Emphasizing 3D Properties in Recurrent Multi-View Aggregation for 3D Shape Retrieval.
Transferable Semi-Supervised Semantic Segmentation.
Temporal-Enhanced Convolutional Network for Person Re-Identification.
Cooperative Training of Deep Aggregation Networks for RGB-D Action Recognition.
Show, Reward and Tell: Automatic Generation of Narrative Paragraph From Photo Stream by Adversarial Training.
Supervised Deep Hashing for Hierarchical Labeled Data.
Movie Question Answering: Remembering the Textual Cues for Layered Visual Contents.
Diverse Beam Search for Improved Description of Complex Scenes.
Learning Binary Residual Representations for Domain-Specific Video Streaming.
Adversarial Discriminative Heterogeneous Face Recognition.
Region-Based Quality Estimation Network for Large-Scale Person Re-Identification.
DLPaper2Code: Auto-Generation of Code From Deep Learning Research Papers.
Game of Sketches: Deep Recurrent Models of Pictionary-Style Word Guessing.
Top-Down Feedback for Crowd Counting Convolutional Neural Network.
Extreme Low Resolution Activity Recognition With Multi-Siamese Embedding Learning.
RAN4IQA: Restorative Adversarial Nets for No-Reference Image Quality Assessment.
Exploring Human-Like Attention Supervision in Visual Question Answering.
Scene-Centric Joint Parsing of Cross-View Videos.
Adaptive Feature Abstraction for Translating Video to Text.
Spatial as Deep: Spatial CNN for Traffic Scene Understanding.
Asking Friendly Strangers: Non-Semantic Attribute Transfer.
Weakly Supervised Collective Feature Learning From Curated Media.
UnFlow: Unsupervised Learning of Optical Flow With a Bidirectional Census Loss.
Multi-Channel Pyramid Person Matching Network for Person Re-Identification.
Curve-Structure Segmentation From Depth Maps: A CNN-Based Approach and Its Application to Exploring Cultural Heritage Objects.
Unsupervised Articulated Skeleton Extraction From Point Set Sequences Captured by a Single Depth Camera.
Co-Attending Free-Form Regions and Detections With Multi-Modal Multiplicative Feature Embedding for Visual Question Answering.
Towards Affordable Semantic Searching: Zero-Shot Retrieval via Dominant Attributes.
Multimodal Keyless Attention Fusion for Video Classification.
SqueezedText: A Real-Time Scene Text Recognition by Binary Convolutional Encoder-Decoder Network.
PoseHD: Boosting Human Detectors Using Human Pose Information.
Dictionary Learning Inspired Deep Network for Scene Recognition.
A Cascaded Inception of Inception Network With Attention Modulated Feature Fusion for Human Pose Estimation.
Semi-Supervised Bayesian Attribute Learning for Person Re-Identification.
Char-Net: A Character-Aware Neural Network for Distorted Scene Text Recognition.
Cross-Domain Human Parsing via Adversarial Feature and Label Adaptation.
T-C3D: Temporal Convolutional 3D Network for Real-Time Action Recognition.
Action Recognition With Coarse-to-Fine Deep Feature Integration and Asynchronous Fusion.
Multi-Scale Face Restoration With Sequential Gating Ensemble Network.
Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction.
Tracking Occluded Objects and Recovering Incomplete Trajectories by Reasoning About Containment Relations and Human Actions.
Visual Relationship Detection With Deep Structural Ranking.
Cross-View Person Identification by Matching Human Poses Estimated With Confidence on Each Body Joint.
Multi-Rate Gated Recurrent Convolutional Networks for Video-Based Pedestrian Re-Identification.
R-FCN++: Towards Accurate Region-Based Fully Convolutional Networks for Object Detection.
Video Generation From Text.
Anti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face Verification.
Deep Semantic Structural Constraints for Zero-Shot Learning.
DF2Net: Discriminative Feature Learning and Fusion Network for RGB-D Indoor Scene Classification.
Brute-Force Facial Landmark Analysis With a 140, 000-Way Classifier.
Weakly Supervised Salient Object Detection Using Image Labels.
End-to-End United Video Dehazing and Detection.
Robust Collaborative Discriminative Learning for RGB-Infrared Tracking.
Action Prediction From Videos via Memorizing Hard-to-Predict Samples.
Generating Triples With Adversarial Networks for Scene Graph Construction.
Multispectral Transfer Network: Unsupervised Depth Estimation for All-Day Vision.
Co-Domain Embedding Using Deep Quadruplet Networks for Unseen Traffic Sign Recognition.
Deep Low-Resolution Person Re-Identification.
Learning to Guide Decoding for Image Captioning.
SAP: Self-Adaptive Proposal Model for Temporal Action Detection Based on Reinforcement Learning.
Recurrently Aggregating Deep Features for Salient Object Detection.
Learning Adaptive Hidden Layers for Mobile Gesture Recognition.
Facial Landmarks Detection by Self-Iterative Regression Based Landmarks-Attention Network.
Dual-Reference Face Retrieval.
Unsupervised Deep Learning of Mid-Level Video Representation for Action Recognition.
Merge or Not? Learning to Group Faces via Imitation Learning.
Integrating Both Visual and Audio Cues for Enhanced Video Caption.
CMCGAN: A Uniform Framework for Cross-Modal Visual-Audio Mutual Generation.
Doing the Best We Can With What We Have: Multi-Label Balancing With Selective Learning for Attribute Prediction.
Zero-Shot Learning With Attribute Selection.
Residual Encoder Decoder Network and Adaptive Prior for Face Parsing.
Learning Coarse-to-Fine Structured Feature Embedding for Vehicle Re-Identification.
Hierarchical LSTM for Sign Language Translation.
Stack-Captioning: Coarse-to-Fine Learning for Image Captioning.
Unravelling Robustness of Deep Learning Based Face Recognition Against Adversarial Attacks.
Learning Pose Grammar to Encode Human Body Configuration for 3D Pose Estimation.
Self-Reinforced Cascaded Regression for Face Alignment.
Hierarchical Nonlinear Orthogonal Adaptive-Subspace Self-Organizing Map Based Feature Extraction for Human Action Recognition.
Auto-Balanced Filter Pruning for Efficient Convolutional Neural Networks.
A Deep Cascade Network for Unaligned Face Attribute Classification.
ExprGAN: Facial Expression Editing With Controllable Expression Intensity.
PixelLink: Detecting Scene Text via Instance Segmentation.
Acquiring Common Sense Spatial Knowledge Through Implicit Spatial Templates.
Using Syntax to Ground Referring Expressions in Natural Images.
Self-View Grounding Given a Narrated 360° Video.
MixedPeds: Pedestrian Detection in Unannotated Videos Using Synthetically Generated Human-Agents for Training.
Recurrent Attentional Reinforcement Learning for Multi-Label Image Recognition.
Learning a Wavelet-Like Auto-Encoder to Accelerate Deep Neural Networks.
Order-Free RNN With Visual Attention for Multi-Label Classification.
Temporal-Difference Learning With Sampling Baseline for Image Captioning.
Transfer Adversarial Hashing for Hamming Space Retrieval.
Lateral Inhibition-Inspired Convolutional Neural Network for Visual Attention and Saliency Detection.
Asymmetric Joint Learning for Heterogeneous Face Recognition.
SEE: Towards Semi-Supervised End-to-End Scene Text Recognition.
Learning Spatio-Temporal Features With Partial Expression Sequences for On-the-Fly Prediction.
Learning Robust Search Strategies Using a Bandit-Based Approach.
Enhancing Constraint-Based Multi-Objective Combinatorial Optimization.
On Cryptographic Attacks Using Backdoors for SAT.
Premise Set Caching for Enumerating Minimal Correction Subsets.
Parallel Algorithms for Operations on Multi-Valued Decision Diagrams.
Verifying Properties of Binarized Deep Neural Networks.
Towards Generalization in QBF Solving via Machine Learning.
Schur Number Five.
Community-Based Trip Sharing for Urban Commuting.
Exact MAP-Inference by Confining Combinatorial Search With LP Relaxation.
A SAT+CAS Method for Enumerating Williamson Matrices of Even Order.
MaxSAT Resolution With the Dual Rail Encoding.
Sweep-Based Propagation for String Constraint Solving.
Safe Exploration and Optimization of Constrained MDPs Using Gaussian Processes.
Phase-Parametric Policies for Reinforcement Learning in Cyclic Environments.
Building Continuous Occupancy Maps With Moving Robots.
From Virtual Demonstration to Real-World Manipulation Using LSTM and MDN.
Unsupervised Selection of Negative Examples for Grounded Language Learning.
Guiding Search in Continuous State-Action Spaces by Learning an Action Sampler From Off-Target Search Experience.
Learning Integrated Holism-Landmark Representations for Long-Term Loop Closure Detection.
Iterative Continuous Convolution for 3D Template Matching and Global Localization.
Safe Reinforcement Learning via Formal Methods: Toward Safe Control Through Proof and Learning.
Improved Results for Minimum Constraint Removal.
IONet: Learning to Cure the Curse of Drift in Inertial Odometry.
Towards Training Probabilistic Topic Models on Neuromorphic Multi-Chip Systems.
Risk-Sensitive Submodular Optimization.
Information Acquisition Under Resource Limitations in a Noisy Environment.
Conditional PSDDs: Modeling and Learning With Modular Knowledge.
Hawkes Process Inference With Missing Data.
Efficient-UCBV: An Almost Optimal Algorithm Using Variance Estimates.
Learning Robust Options.
A Neural Stochastic Volatility Model.
Anytime Anyspace AND/OR Best-First Search for Bounding Marginal MAP.
Relational Marginal Problems: Theory and Estimation.
Approximate Inference via Weighted Rademacher Complexity.
RelNN: A Deep Neural Model for Relational Learning.
Learning Mixtures of MLNs.
Lifted Generalized Dual Decomposition.
Armstrong's Axioms and Navigation Strategies.
Generalized Adjustment Under Confounding and Selection Biases.
Optimal Approximation of Random Variables for Estimating the Probability of Meeting a Plan Deadline.
An Experimental Study of Advice in Sequential Decision-Making Under Uncertainty.
Combining Experts' Causal Judgments.
Learning Conditional Generative Models for Temporal Point Processes.
Action Schema Networks: Generalised Policies With Deep Learning.
Stackelberg Planning: Towards Effective Leader-Follower State Space Search.
Risk-Aware Proactive Scheduling via Conditional Value-at-Risk.
Knowledge-Based Policies for Qualitative Decentralized POMDPs.
Sensor-Based Activity Recognition via Learning From Distributions.
Linear and Integer Programming-Based Heuristics for Cost-Optimal Numeric Planning.
Generalized Value Iteration Networks: Life Beyond Lattices.
On the Relationship Between State-Dependent Action Costs and Conditional Effects in Planning.
Load Scheduling of Simple Temporal Networks Under Dynamic Resource Pricing.
Multiagent Simple Temporal Problem: The Arc-Consistency Approach.
Semi-Black Box: Rapid Development of Planning Based Solutions.
Plan Recognition in Continuous Domains.
A Recursive Algorithm to Generate Balanced Weekend Tournaments.
Planning and Learning for Decentralized MDPs With Event Driven Rewards.
Expressive Real-Time Intersection Scheduling.
Meta-Search Through the Space of Representations and Heuristics on a Problem by Problem Basis.
Synthesis of Orchestrations of Transducers for Manufacturing.
Finite Sample Analyses for TD(0) With Function Approximation.
Fat- and Heavy-Tailed Behavior in Satisficing Planning.
Scheduling in Visual Fog Computing: NP-Completeness and Practical Efficient Solutions.
Sublinear Search Spaces for Shortest Path Planning in Grid and Road Networks.
totSAT - Totally-Ordered Hierarchical Planning Through SAT.
Planning With Pixels in (Almost) Real Time.
Classical Planning in Deep Latent Space: Bridging the Subsymbolic-Symbolic Boundary.
Resource-Constrained Scheduling for Maritime Traffic Management.
Hierarchical Attention Flow for Multiple-Choice Reading Comprehension.
Variational Reasoning for Question Answering With Knowledge Graph.
Duplicate Question Identification by Integrating FrameNet With Neural Networks.
Learning Structured Representation for Text Classification via Reinforcement Learning.
Scale Up Event Extraction Learning via Automatic Training Data Generation.
OTyper: A Neural Architecture for Open Named Entity Typing.
Multi-Entity Aspect-Based Sentiment Analysis With Context, Entity and Aspect Memory.
Assertion-Based QA With Question-Aware Open Information Extraction.
Dual Attention Network for Product Compatibility and Function Satisfiability Analysis.
Diagnosing and Improving Topic Models by Analyzing Posterior Variability.
Improving Neural Fine-Grained Entity Typing With Knowledge Attention.
Improving Review Representations With User Attention and Product Attention for Sentiment Classification.
R3: Reinforced Ranker-Reader for Open-Domain Question Answering.
Learning Multimodal Word Representation via Dynamic Fusion Methods.
Investigating Inner Properties of Multimodal Representation and Semantic Compositionality With Brain-Based Componential Semantics.
Learning to Attend via Word-Aspect Associative Fusion for Aspect-Based Sentiment Analysis.
SkipFlow: Incorporating Neural Coherence Features for End-to-End Automatic Text Scoring.
S-Net: From Answer Extraction to Answer Synthesis for Machine Reading Comprehension.
Towards a Neural Conversation Model With Diversity Net Using Determinantal Point Processes.
Content and Context: Two-Pronged Bootstrapped Learning for Regex-Formatted Entity Extraction.
Jointly Extracting Event Triggers and Arguments by Dependency-Bridge RNN and Tensor-Based Argument Interaction.
Mention and Entity Description Co-Attention for Entity Disambiguation.
Graph Convolutional Networks With Argument-Aware Pooling for Event Detection.
Argument Mining for Improving the Automated Scoring of Persuasive Essays.
Cognition-Cognizant Sentiment Analysis With Multitask Subjectivity Summarization Based on Annotators' Gaze Behavior.
Targeted Aspect-Based Sentiment Analysis via Embedding Commonsense Knowledge into an Attentive LSTM.
Multi-Task Medical Concept Normalization Using Multi-View Convolutional Neural Network.
Dynamic User Profiling for Streams of Short Texts.
Hierarchical Attention Transfer Network for Cross-Domain Sentiment Classification.
Inference on Syntactic and Semantic Structures for Machine Comprehension.
Training and Evaluating Improved Dependency-Based Word Embeddings.
A Question-Focused Multi-Factor Attention Network for Question Answering.
Byte-Level Machine Reading Across Morphologically Varied Languages.
Task-Specific Representation Learning for Web-Scale Entity Disambiguation.
Semi-Distantly Supervised Neural Model for Generating Compact Answers to Open-Domain Why Questions.
SEE: Syntax-Aware Entity Embedding for Neural Relation Extraction.
Twitter Summarization Based on Social Network and Sparse Reconstruction.
Reinforcement Learning for Relation Classification From Noisy Data.
Cross-Lingual Propagation for Deep Sentiment Analysis.
Weakly Supervised Induction of Affective Events by Optimizing Semantic Consistency.
A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction.
Generative Adversarial Network Based Heterogeneous Bibliographic Network Representation for Personalized Citation Recommendation.
RNN-Based Sequence-Preserved Attention for Dependency Parsing.
Elastic Responding Machine for Dialog Generation with Dynamically Mechanism Selecting.
Tree-Structured Neural Machine for Linguistics-Aware Sentence Generation.
CoLink: An Unsupervised Framework for User Identity Linkage.
Medical Exam Question Answering with Large-scale Reading Comprehension.
Asynchronous Bidirectional Decoding for Neural Machine Translation.
Addressee and Response Selection in Multi-Party Conversations With Speaker Interaction RNNs.
Neural Networks Incorporating Dictionaries for Chinese Word Segmentation.
Adaptive Co-attention Network for Named Entity Recognition in Tweets.
End-to-End Quantum-like Language Models with Application to Question Answering.
Large Scaled Relation Extraction With Reinforcement Learning.
Chinese LIWC Lexicon Expansion via Hierarchical Classification of Word Embeddings with Sememe Attention.
Multi-attention Recurrent Network for Human Communication Comprehension.
Memory Fusion Network for Multi-view Sequential Learning.
Learning Multi-Modal Word Representation Grounded in Visual Context.
How Images Inspire Poems: Generating Classical Chinese Poetry from Images with Memory Networks.
Hierarchical Recurrent Attention Network for Response Generation.
Learning to Extract Coherent Summary via Deep Reinforcement Learning.
Neural Response Generation With Dynamic Vocabularies.
Knowledge Enhanced Hybrid Neural Network for Text Matching.
Word Attention for Sequence to Sequence Text Understanding.
StarSpace: Embed All The Things!
A Neural Transition-Based Approach for Semantic Dependency Graph Parsing.
Dual Transfer Learning for Neural Machine Translation with Marginal Distribution Regularization.
MathDQN: Solving Arithmetic Word Problems via Deep Reinforcement Learning.
Learning Latent Opinions for Aspect-level Sentiment Classification.
Learning Better Name Translation for Cross-Lingual Wikification.
Guiding Exploratory Behaviors for Multi-Modal Grounding of Linguistic Descriptions.
Cross Temporal Recurrent Networks for Ranking Question Answer Pairs.
Source-Target Inference Models for Spatial Instruction Understanding.
Incorporating Discriminator in Sentence Generation: a Gibbs Sampling Method.
Variational Recurrent Neural Machine Translation.
Spectral Word Embedding with Negative Sampling.
Unity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive Summarization.
Neural Cross-Lingual Entity Linking.
Improving Variational Encoder-Decoders in Dialogue Generation.
DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding.
Deconvolutional Latent-Variable Model for Text Sequence Matching.
Generating Sentences Using a Dynamic Canvas.
A Multi-View Fusion Neural Network for Answer Selection.
Order-Planning Neural Text Generation From Structured Data.
DeepType: Multilingual Entity Linking by Neural Type System Evolution.
Bayesian Verb Sense Clustering.
Multi-Task Learning For Parsing The Alexa Meaning Representation Language.
Attention-based Belief or Disbelief Feature Extraction for Dependency Parsing.
Two Knowledge-based Methods for High-Performance Sense Distribution Learning.
Exploring the Terrain of Metaphor Novelty: A Regression-Based Approach for Automatically Scoring Metaphors.
Canonical Correlation Inference for Mapping Abstract Scenes to Text.
Question-Answering with Grammatically-Interpretable Representations.
Few Shot Transfer Learning BetweenWord Relatedness and Similarity Tasks Using A Gated Recurrent Siamese Network.
Controlling Global Statistics in Recurrent Neural Network Text Generation.
Context Aware Conversational Understanding for Intelligent Agents With a Screen.
Personalizing a Dialogue System With Transfer Reinforcement Learning.
Fact Checking in Community Forums.
CoChat: Enabling Bot and Human Collaboration for Task Completion.
Eliciting Positive Emotion through Affect-Sensitive Dialogue Response Generation: A Neural Network Approach.
Sentence Ordering and Coherence Modeling using Recurrent Neural Networks.
Improving Language Modelling with Noise Contrastive Estimation.
Improved Text Matching by Enhancing Mutual Information.
Semantic Structure-Based Word Embedding by Incorporating Concept Convergence and Word Divergence.
Empower Sequence Labeling with Task-Aware Neural Language Model.
Customized Nonlinear Bandits for Online Response Selection in Neural Conversation Models.
BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for Task-Oriented Dialogue Systems.
Automatic Generation of Text Descriptive Comments for Code Blocks.
Slim Embedding Layers for Recurrent Neural Language Models.
Conversational Model Adaptation via KL Divergence Regularization.
Neural Character-level Dependency Parsing for Chinese.
Efficient Large-Scale Multi-Modal Classification.
SciTaiL: A Textual Entailment Dataset from Science Question Answering.
An Interpretable Generative Adversarial Approach to Classification of Latent Entity Relations in Unstructured Sentences.
Persuasive Influence Detection: The Role of Argument Sequencing.
Jointly Parse and Fragment Ungrammatical Sentences.
Placing Objects in Gesture Space: Toward Incremental Interpretation of Multimodal Spatial Descriptions.
A Deep Generative Framework for Paraphrase Generation.
Long Text Generation via Adversarial Training with Leaked Information.
Search Engine Guided Neural Machine Translation.
Neural Machine Translation with Gumbel-Greedy Decoding.
Learning to Predict Readability Using Eye-Movement Data From Natives and Learners.
A Knowledge-Grounded Neural Conversation Model.
Geometric Relationship between Word and Context Representations.
Learning to Compose Task-Specific Tree Structures.
Zero-Resource Neural Machine Translation with Multi-Agent Communication Game.
IMS-DTM: Incremental Multi-Scale Dynamic Topic Models.
Meta Multi-Task Learning for Sequence Modeling.
Knowledge-based Word Sense Disambiguation using Topic Models.
cw2vec: Learning Chinese Word Embeddings with Stroke n-gram Information.
Proposition Entailment in Educational Applications using Deep Neural Networks.
Using k-Way Co-Occurrences for Learning Word Embeddings.
Learning Interpretable Spatial Operations in a Rich 3D Blocks World.
Table-to-Text: Describing Table Region With Natural Language.
Generalizing and Improving Bilingual Word Embedding Mappings with a Multi-Step Framework of Linear Transformations.
Leveraging Lexical Substitutes for Unsupervised Word Sense Induction.
Lattice Recurrent Unit: Improving Convergence and Statistical Efficiency for Sequence Modeling.
Sequential Copying Networks.
An Unsupervised Model With Attention Autoencoders for Question Retrieval.
Augmenting End-to-End Dialogue Systems With Commonsense Knowledge.
Multi-Channel Encoder for Neural Machine Translation.
Does William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning With Confidence.
Event Representations With Tensor-Based Compositions.
Translating Pro-Drop Languages With Reconstruction Models.
Deep Semantic Role Labeling With Self-Attention.
SPINE: SParse Interpretable Neural Embeddings.
Recognizing and Justifying Text Entailment Through Distributional Navigation on Definition Graphs.
Early Syntactic Bootstrapping in an Incremental Memory-Limited Word Learner.
AMR Parsing With Cache Transition Systems.
Never Retreat, Never Retract: Argumentation Analysis for Political Speeches.
Table-to-Text Generation by Structure-Aware Seq2seq Learning.
Improving Sequence-to-Sequence Constituency Parsing.
Event Detection via Gated Multilingual Attention Mechanism.
Actionable Email Intent Modeling With Reparametrized RNNs.
Linguistic Properties Matter for Implicit Discourse Relation Recognition: Combining Semantic Interaction, Topic Continuity and Attribution.
FEEL: Featured Event Embedding Learning.
Neural Knowledge Acquisition via Mutual Attention Between Knowledge Graph and Text.
280 Birds With One Stone: Inducing Multilingual Taxonomies From Wikipedia Using Character-Level Classification.
Knowledge Graph Embedding With Iterative Guidance From Soft Rules.
Learning Sentiment-Specific Word Embedding via Global Sentiment Representation.
A Semantic QA-Based Approach for Text Summarization Evaluation.
Syntax-Directed Attention for Neural Machine Translation.
Faithful to the Original: Fact Aware Neural Abstractive Summarization.
Effective Broad-Coverage Deep Parsing.
HogRider: Champion Agent of Microsoft Malmo Collaborative AI Challenge.
Privacy-Preserving Policy Iteration for Decentralized POMDPs.
Integrated Cooperation and Competition in Multi-Agent Decision-Making.
Maximizing Influence in an Unknown Social Network.
Multiagent Connected Path Planning: PSPACE-Completeness and How to Deal With It.
Social Norms of Cooperation With Costly Reputation Building.
Dynamic Pricing for Reusable Resources in Competitive Market With Stochastic Demand.
The Role of Data-Driven Priors in Multi-Agent Crowd Trajectory Estimation.
Strategic Coalitions With Perfect Recall.
Dilated FCN for Multi-Agent 2D/3D Medical Image Registration.
Decentralised Learning in Systems With Many, Many Strategic Agents.
Control Argumentation Frameworks.
Manipulative Elicitation - A New Attack on Elections with Incomplete Preferences.
Preallocation and Planning Under Stochastic Resource Constraints.
An Ant-Based Algorithm to Solve Distributed Constraint Optimization Problems.
POMDP-Based Decision Making for Fast Event Handling in VANETs.
Knowledge, Fairness, and Social Constraints.
Learning the Behavior of a Dynamical System Via a "20 Questions" Approach.
Weighted Multi-View Spectral Clustering Based on Spectral Perturbation.
A Spherical Hidden Markov Model for Semantics-Rich Human Mobility Modeling.
Non-Parametric Outliers Detection in Multiple Time Series A Case Study: Power Grid Data Analysis.
Adaptive Quantization for Deep Neural Network.
SC2Net: Sparse LSTMs for Sparse Coding.
Rocket Launching: A Universal and Efficient Framework for Training Well-Performing Light Net.
Budget-Constrained Multi-Armed Bandits With Multiple Plays.
ATRank: An Attention-Based User Behavior Modeling Framework for Recommendation.
Label Distribution Learning by Exploiting Sample Correlations Locally.
Learning Graph-Structured Sum-Product Networks for Probabilistic Semantic Maps.
Direct Hashing Without Pseudo-Labels.
Learning Mixtures of Random Utility Models.
Hypergraph Learning With Cost Interval Optimization.
Substructure Assembling Network for Graph Classification.
Label Distribution Learning by Optimal Transport.
Distant-Supervision of Heterogeneous Multitask Learning for Social Event Forecasting With Multilingual Indicators.
EMD Metric Learning.
Training Set Debugging Using Trusted Items.
Optimal Margin Distribution Clustering.
Examining CNN Representations With Respect to Dataset Bias.
Interpreting CNN Knowledge via an Explanatory Graph.
Feature-Induced Labeling Information Enrichment for Multi-Label Learning.
An End-to-End Deep Learning Architecture for Graph Classification.
Beyond Link Prediction: Predicting Hyperlinks in Adjacency Space.
ROAR: Robust Label Ranking for Social Emotion Mining.
Latent Semantic Aware Multi-View Multi-Label Classification.
Multi-Layer Multi-View Classification for Alzheimer's Disease Diagnosis.
Tau-FPL: Tolerance-Constrained Learning in Linear Time.
Learning With Single-Teacher Multi-Student.
Efficient K-Shot Learning With Regularized Deep Networks.
New l2, 1-Norm Relaxation of Multi-Way Graph Cut for Clustering.
A Poisson Gamma Probabilistic Model for Latent Node-Group Memberships in Dynamic Networks.
Automatic Model Selection in Subspace Clustering via Triplet Relationships.
Dictionary Learning in Optimal Metric Space.
Informed Non-Convex Robust Principal Component Analysis With Features.
Deep Neural Network Compression With Single and Multiple Level Quantization.
HodgeRank With Information Maximization for Crowdsourced Pairwise Ranking Aggregation.
Perception Coordination Network: A Framework for Online Multi-Modal Concept Acquisition and Binding.
Semi-Supervised AUC Optimization Without Guessing Labels of Unlabeled Data.
Partial Multi-Label Learning.
Cooperative Learning of Energy-Based Model and Latent Variable Model via MCMC Teaching.
Decoupled Convolutions for CNNs.
MERCS: Multi-Directional Ensembles of Regression and Classification Trees.
Orthant-Wise Passive Descent Algorithms for Training L1-Regularized Models.
Adversarial Learning of Portable Student Networks.
High Rank Matrix Completion With Side Information.
On the ERM Principle With Networked Data.
Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework.
On Multi-Relational Link Prediction With Bilinear Models.
Sparse Gaussian Conditional Random Fields on Top of Recurrent Neural Networks.
Zero-Shot Learning via Class-Conditioned Deep Generative Models.
Information-Theoretic Domain Adaptation Under Severe Noise Conditions.
Learning Transferable Subspace for Human Motion Segmentation.
Efficient Test-Time Predictor Learning With Group-Based Budget.
Kernel Cross-Correlator.
Bayesian Functional Optimization.
Sum-Product Autoencoding: Encoding and Decoding Representations Using Sum-Product Networks.
Fourier Feature Approximations for Periodic Kernels in Time-Series Modelling.
Selective Verification Strategy for Learning From Crowds.
Detecting Adversarial Examples Through Image Transformation.
Action Branching Architectures for Deep Reinforcement Learning.
Reliable Multi-View Clustering.
Leaf-Smoothed Hierarchical Softmax for Ordinal Prediction.
Active Lifelong Learning With "Watchdog".
Reinforcement Learning in POMDPs With Memoryless Options and Option-Observation Initiation Sets.
Attend and Diagnose: Clinical Time Series Analysis Using Attention Models.
Learning to Interact With Learning Agents.
Dynamic Optimization of Neural Network Structures Using Probabilistic Modeling.
Compact Multi-Label Learning.
Wasserstein Distance Guided Representation Learning for Domain Adaptation.
Reduced-Rank Linear Dynamical Systems.
No Modes Left Behind: Capturing the Data Distribution Effectively Using GANs.
Labeled Memory Networks for Online Model Adaptation.
On Data-Dependent Random Features for Improved Generalization in Supervised Learning.
From Monte Carlo to Las Vegas: Improving Restricted Boltzmann Machine Training Through Stopping Sets.
Regularizing Deep Networks Using Efficient Layerwise Adversarial Training.
Learning Vector Autoregressive Models With Latent Processes.
Word Co-Occurrence Regularized Non-Negative Matrix Tri-Factorization for Text Data Co-Clustering.
Hypergraph p-Laplacian: A Differential Geometry View.
Interpretable Graph-Based Semi-Supervised Learning via Flows.
Joint Learning of Set Cardinality and State Distribution.
Randomized Clustered Nystrom for Large-Scale Kernel Machines.
Source Traces for Temporal Difference Learning.
FiLM: Visual Reasoning with a General Conditioning Layer.
Multi-Adversarial Domain Adaptation.
Alternating Optimisation and Quadrature for Robust Control.
Adversarial Dropout for Supervised and Semi-Supervised Learning.
Quantized Memory-Augmented Neural Networks.
SAGA: A Submodular Greedy Algorithm for Group Recommendation.
Sparse Modeling-Based Sequential Ensemble Learning for Effective Outlier Detection in High-Dimensional Numeric Data.
Training CNNs With Normalized Kernels.
Gaussian Process Decentralized Data Fusion Meets Transfer Learning in Large-Scale Distributed Cooperative Perception.
Dynamic Determinantal Point Processes.
Hierarchical Policy Search via Return-Weighted Density Estimation.
A Provable Approach for Double-Sparse Coding.
Overlap-Robust Decision Boundary Learning for Within-Network Classification.
Alternating Circulant Random Features for Semigroup Kernels.
Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains.
Core Dependency Networks.
Bernoulli Embeddings for Graphs.
Proper Loss Functions for Nonlinear Hawkes Processes.
Personalized Privacy-Preserving Social Recommendation.
Exploiting Emotion on Reviews for Recommender Systems.
Subgraph Pattern Neural Networks for High-Order Graph Evolution Prediction.
Learning Multi-Way Relations via Tensor Decomposition With Neural Networks.
Belief Reward Shaping in Reinforcement Learning.
Data-Dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion.
MDP-Based Cost Sensitive Classification Using Decision Trees.
Stochastic Non-Convex Ordinal Embedding With Stabilized Barzilai-Borwein Step Size.
Consistent and Specific Multi-View Subspace Clustering.
Matrix Variate Gaussian Mixture Distribution Steered Robust Metric Learning.
Nonconvex Sparse Spectral Clustering by Alternating Direction Method of Multipliers and Its Convergence Analysis.
A Parallelizable Acceleration Framework for Packing Linear Programs.
Variational Probability Flow for Biologically Plausible Training of Deep Neural Networks.
Euler Sparse Representation for Image Classification.
Doubly Approximate Nearest Neighbor Classification.
Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-Offs by Selective Execution.
A Batch Learning Framework for Scalable Personalized Ranking.
Nonlinear Pairwise Layer and Its Training for Kernel Learning.
A Change-Detection Based Framework for Piecewise-Stationary Multi-Armed Bandit Problem.
Information Directed Sampling for Stochastic Bandits With Graph Feedback.
Dual Set Multi-Label Learning.
Riemannian Stein Variational Gradient Descent for Bayesian Inference.
Transferable Contextual Bandit for Cross-Domain Recommendation.
CoDiNMF: Co-Clustering of Directed Graphs via NMF.
Robust Formulation for PCA: Avoiding Mean Calculation With L2, p-norm Maximization.
Balanced Clustering via Exclusive Lasso: A Pragmatic Approach.
Learning With Incomplete Labels.
Domain Generalization via Conditional Invariant Representations.
Statistical Inference Using SGD.
An Optimal Online Method of Selecting Source Policies for Reinforcement Learning.
Online Clustering of Contextual Cascading Bandits.
Adaptive Graph Convolutional Neural Networks.
Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning.
Deep Learning for Case-Based Reasoning Through Prototypes: A Neural Network That Explains Its Predictions.
Latent Discriminant Subspace Representations for Multi-View Outlier Detection.
Unsupervised Personalized Feature Selection.
Predictive Coding Machine for Compressed Sensing and Image Denoising.
A Probabilistic Hierarchical Model for Multi-View and Multi-Feature Classification.
Learning to Generalize: Meta-Learning for Domain Generalization.
Spatio-Temporal Graph Convolution for Skeleton Based Action Recognition.
Deterministic Policy Optimization by Combining Pathwise and Score Function Estimators for Discrete Action Spaces.
Extremely Low Bit Neural Network: Squeeze the Last Bit Out With ADMM.
On Value Function Representation of Long Horizon Problems.
gOCCF: Graph-Theoretic One-Class Collaborative Filtering Based on Uninteresting Items.
Dialogue Act Sequence Labeling Using Hierarchical Encoder With CRF.
Joint Dictionaries for Zero-Shot Learning.
On the Optimal Bit Complexity of Circulant Binary Embedding.
Imitation Learning via Kernel Mean Embedding.
Feature Engineering for Predictive Modeling Using Reinforcement Learning.
Approximate Vanishing Ideal via Data Knotting.
Measuring Catastrophic Forgetting in Neural Networks.
Deep Semi-Random Features for Nonlinear Function Approximation.
Batchwise Patching of Classifiers.
Unified Spectral Clustering With Optimal Graph.
Less-Forgetful Learning for Domain Expansion in Deep Neural Networks.
On Controlling the Size of Clusters in Probabilistic Clustering.
Asymmetric Deep Supervised Hashing.
PAC Reinforcement Learning With an Imperfect Model.
Efficient Multi-Dimensional Tensor Sparse Coding Using t-Linear Combination.
Metric-Based Auto-Instructor for Learning Mixed Data Representation.
Label Distribution Learning by Exploiting Label Correlations.
Selective Experience Replay for Lifelong Learning.
Product Quantized Translation for Fast Nearest Neighbor Search.
Accelerated Method for Stochastic Composition Optimization With Nonsmooth Regularization.
Building Deep Networks on Grassmann Manifolds.
Orthogonal Weight Normalization: Solution to Optimization Over Multiple Dependent Stiefel Manifolds in Deep Neural Networks.
On Convergence of Epanechnikov Mean Shift.
SNNN: Promoting Word Sentiment and Negation in Neural Sentiment Classification.
From Hashing to CNNs: Training Binary Weight Networks via Hashing.
A Deep Model With Local Surrogate Loss for General Cost-Sensitive Multi-Label Learning.
Decentralized High-Dimensional Bayesian Optimization With Factor Graphs.
Deep Q-learning From Demonstrations.
Rainbow: Combining Improvements in Deep Reinforcement Learning.
Deep Reinforcement Learning That Matters.
OptionGAN: Learning Joint Reward-Policy Options Using Generative Adversarial Inverse Reinforcement Learning.
An Efficient, Expressive and Local Minima-Free Method for Learning Controlled Dynamical Systems.
Reinforced Multi-Label Image Classification by Exploring Curriculum.
Learning With Options That Terminate Off-Policy.
When Waiting Is Not an Option: Learning Options With a Deliberation Cost.
Approximate and Exact Enumeration of Rule Models.
A Framework for Multistream Regression With Direct Density Ratio Estimation.
Learning Across Scales - Multiscale Methods for Convolution Neural Networks.
Double Forward Propagation for Memorized Batch Normalization.
A General Formulation for Safely Exploiting Weakly Supervised Data.
Nonparametric Stochastic Contextual Bandits.
Who Said What: Modeling Individual Labelers Improves Classification.
An Euclidean Distance Based on Tensor Product Graph Diffusion Related Attribute Value Embedding for Nominal Data Clustering.
Inexact Proximal Gradient Methods for Non-Convex and Non-Smooth Optimization.
Asynchronous Doubly Stochastic Sparse Kernel Learning.
Boosted Generative Models.
Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models.
Learning Predictive State Representations From Non-Uniform Sampling.
Human Guided Linear Regression With Feature-Level Constraints.
A Continuous Relaxation of Beam Search for End-to-End Training of Neural Sequence Models.
Margin Based PU Learning.
Non-Discriminatory Machine Learning Through Convex Fairness Criteria.
Topic Modeling on Health Journals With Regularized Variational Inference.
Characterization of the Convex Łukasiewicz Fragment for Learning From Constraints.
Learning Combinatory Categorial Grammars for Plan Recognition.
Incomplete Label Multi-Task Ordinal Regression for Spatial Event Scale Forecasting.
DID: Distributed Incremental Block Coordinate Descent for Nonnegative Matrix Factorization.
Lagrangian Constrained Community Detection.
Counterfactual Multi-Agent Policy Gradients.
AutoEncoder by Forest.
Learning Lexicographic Preference Trees From Positive Examples.
Learning to Rank Based on Analogical Reasoning.
Constructive Preference Elicitation Over Hybrid Combinatorial Spaces.
Decomposition Strategies for Constructive Preference Elicitation.
Learning From Semi-Supervised Weak-Label Data.
Coupled Poisson Factorization Integrated With User/Item Metadata for Modeling Popular and Sparse Ratings in Scalable Recommendation.
Randomized Kernel Selection With Spectra of Multilevel Circulant Matrices.
Multi-Step Reinforcement Learning: A Unifying Algorithm.
Distributional Reinforcement Learning With Quantile Regression.
Clustering Small Samples With Quality Guarantees: Adaptivity With One2all PPS.
Diverse Exploration for Fast and Safe Policy Improvement.
Expected Policy Gradients.
Automatic Parameter Tying: A New Approach for Regularized Parameter Learning in Markov Networks.
DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer.
Automatic Segmentation of Data Sequences.
LSTD: A Low-Shot Transfer Detector for Object Detection.
AdaComp : Adaptive Residual Gradient Compression for Data-Parallel Distributed Training.
Gated-Attention Architectures for Task-Oriented Language Grounding.
Reversible Architectures for Arbitrarily Deep Residual Neural Networks.
Link Prediction via Subgraph Embedding-Based Convex Matrix Completion.
Unsupervised Domain Adaptation With Distribution Matching Machines.
Efficient Architecture Search by Network Transformation.
Mining Heavy Temporal Subgraphs: Fast Algorithms and Applications.
Graph Scan Statistics With Uncertainty.
Teaching a Machine to Read Maps With Deep Reinforcement Learning.
Efficient Probabilistic Performance Bounds for Inverse Reinforcement Learning.
Trace Ratio Optimization With Feature Correlation Mining for Multiclass Discriminant Analysis.
Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure.
Algorithms for Generalized Topic Modeling.
Long-Term Image Boundary Prediction.
Estimating the Class Prior in Positive and Unlabeled Data Through Decision Tree Induction.
ARC: Adversarial Robust Cuts for Semi-Supervised and Multi-Label Classification.
Online Learning for Structured Loss Spaces.
Learning to Attack: Adversarial Transformation Networks.
Sample-Efficient Learning of Mixtures.
Safe Reinforcement Learning via Shielding.
Parameter-Free Centralized Multi-Task Learning for Characterizing Developmental Sex Differences in Resting State Functional Connectivity.
SFCN-OPI: Detection and Fine-Grained Classification of Nuclei Using Sibling FCN With Objectness Prior Interaction.
Unsupervised Representation Learning With Long-Term Dynamics for Skeleton Based Action Recognition.
An Adversarial Hierarchical Hidden Markov Model for Human Pose Modeling and Generation.
Data Poisoning Attacks on Multi-Task Relationship Learning.
COSINE: Community-Preserving Social Network Embedding From Information Diffusion Cascades.
Feature Enhancement Network: A Refined Scene Text Detector.
Sequence-to-Point Learning With Neural Networks for Non-Intrusive Load Monitoring.
WalkRanker: A Unified Pairwise Ranking Model With Multiple Relations for Item Recommendation.
Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction.
Learning Generative Neural Networks for 3D Colorization.
Measuring the Popularity of Job Skills in Recruitment Market: A Multi-Criteria Approach.
Modeling Attention and Memory for Auditory Selection in a Cocktail Party Environment.
Hybrid Attentive Answer Selection in CQA With Deep Users Modelling.
Directional Label Rectification in Adaptive Graph.
Fully Convolutional Network Based Skeletonization for Handwritten Chinese Characters.
Attention-Based Transactional Context Embedding for Next-Item Recommendation.
AJILE Movement Prediction: Multimodal Deep Learning for Natural Human Neural Recordings and Video.
Collaborative Filtering With Social Exposure: A Modular Approach to Social Recommendation.
GraphGAN: Graph Representation Learning With Generative Adversarial Nets.
When Will You Arrive? Estimating Travel Time Based on Deep Neural Networks.
Multimodal Poisson Gamma Belief Network.
Model-Free Iterative Temporal Appliance Discovery for Unsupervised Electricity Disaggregation.
Adversarial Zero-shot Learning With Semantic Augmentation.
Differential Performance Debugging With Discriminant Regression Trees.
Maximum-Variance Total Variation Denoising for Interpretable Spatial Smoothing.
Mesh-Based Autoencoders for Localized Deformation Component Analysis.
Compressed Sensing MRI Using a Recursive Dilated Network.
Exercise-Enhanced Sequential Modeling for Student Performance Prediction.
r-BTN: Cross-Domain Face Composite and Synthesis From Limited Facial Patches.
Nonlocal Patch Based t-SVD for Image Inpainting: Algorithm and Error Analysis.
Neural Ideal Point Estimation Network.
Compatibility Family Learning for Item Recommendation and Generation.
Sequence-to-Sequence Learning via Shared Latent Representation.
Hierarchical Video Generation From Orthogonal Information: Optical Flow and Texture.
A Combinatorial-Bandit Algorithm for the Online Joint Bid/Budget Optimization of Pay-per-Click Advertising Campaigns.
Probabilistic Ensemble of Collaborative Filters.
Semi-Supervised Biomedical Translation With Cycle Wasserstein Regression GANs.
Distance-Aware DAG Embedding for Proximity Search on Heterogeneous Graphs.
Multi-Modal Multi-Task Learning for Automatic Dietary Assessment.
Unified Locally Linear Classifiers With Diversity-Promoting Anchor Points.
Discriminative Semi-Coupled Projective Dictionary Learning for Low-Resolution Person Re-Identification.
DeepRebirth: Accelerating Deep Neural Network Execution on Mobile Devices.
DeepHit: A Deep Learning Approach to Survival Analysis With Competing Risks.
Context-Aware Symptom Checking for Disease Diagnosis Using Hierarchical Reinforcement Learning.
Task-Aware Compressed Sensing With Generative Adversarial Networks.
Link Prediction With Personalized Social Influence.
Generating Music Medleys via Playing Music Puzzle Games.
Video-Based Person Re-Identification via Self Paced Weighting.
Energy-Efficient Automatic Train Driving by Learning Driving Patterns.
Video-Based Sign Language Recognition Without Temporal Segmentation.
Learning User Preferences to Incentivize Exploration in the Sharing Economy.
On Trivial Solution and High Correlation Problems in Deep Supervised Hashing.
Dependence Guided Unsupervised Feature Selection.
Group-Pair Convolutional Neural Networks for Multi-View Based 3D Object Retrieval.
The Geometric Block Model.
Discriminant Projection Representation-Based Classification for Vision Recognition.
Search Action Sequence Modeling With Long Short-Term Memory for Search Task Success Evaluation.
Multi-Step Time Series Generator for Molecular Dynamics.
The Shape of Art History in the Eyes of the Machine.
Collaborative Filtering With User-Item Co-Autoregressive Models.
Adversarial Network Embedding.
Modeling Temporal Tonal Relations in Polyphonic Music Through Deep Networks With a Novel Image-Based Representation.
A Neural Attention Model for Urban Air Quality Inference: Learning the Weights of Monitoring Stations.
Learning Datum-Wise Sampling Frequency for Energy-Efficient Human Activity Recognition.
Latent Sparse Modeling of Longitudinal Multi-Dimensional Data.
HARP: Hierarchical Representation Learning for Networks.
Tap and Shoot Segmentation.
Modeling Scientific Influence for Research Trending Topic Prediction.
Dress Fashionably: Learn Fashion Collocation With Deep Mixed-Category Metric Learning.
Multi-Level Variational Autoencoder: Learning Disentangled Representations From Grouped Observations.
CSWA: Aggregation-Free Spatial-Temporal Community Sensing.
DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction.
Deep-Treat: Learning Optimal Personalized Treatments From Observational Data Using Neural Networks.
Predicting Vehicular Travel Times by Modeling Heterogeneous Influences Between Arterial Roads.
On the Satisfiability Problem of Patterns in SPARQL 1.1.
Embedding of Hierarchically Typed Knowledge Bases.
Fairness in Decision-Making - The Causal Explanation Formula.
Measuring Conditional Independence by Independent Residuals: Theoretical Results and Application in Causal Discovery.
Machine-Translated Knowledge Transfer for Commonsense Causal Reasoning.
Forgetting and Unfolding for Existential Rules.
Incorporating GAN for Negative Sampling in Knowledge Representation Learning.
Splitting an LPMLN Program.
Measuring Strong Inconsistency.
Repairing Ontologies via Axiom Weakening.
A Framework and Positive Results for IAR-answering.
Visual Explanation by High-Level Abduction: On Answer-Set Programming Driven Reasoning About Moving Objects.
Open-World Knowledge Graph Completion.
On Consensus in Belief Merging.
Stream Reasoning in Temporal Datalog.
Fair Inference on Outcomes.
Maximum A Posteriori Inference in Sum-Product Networks.
In Praise of Belief Bases: Doing Epistemic Logic Without Possible Worlds.
Question Answering as Global Reasoning Over Semantic Abstractions.
Probabilistic Inference Over Repeated Insertion Models.
Learning Abduction Using Partial Observability.
Qualitative Reasoning About Cardinal Directions Using Answer Set Programming.
Optimised Maintenance of Datalog Materialisations.
Behavior Is Everything: Towards Representing Concepts with Sensorimotor Contingencies.
Towards Formal Definitions of Blameworthiness, Intention, and Moral Responsibility.
Answering Regular Path Queries over SQ Ontologies.
Dependence in Propositional Logic: Formula-Formula Dependence and Formula Forgetting - Application to Belief Update and Conservative Extension.
Rational Inference Patterns Based on Conditional Logic.
TorusE: Knowledge Graph Embedding on a Lie Group.
Convolutional 2D Knowledge Graph Embeddings.
Towards a Unified Framework for Syntactic Inconsistency Measures.
SenticNet 5: Discovering Conceptual Primitives for Sentiment Analysis by Means of Context Embeddings.
SELF: Structural Equational Likelihood Framework for Causal Discovery.
Weighted Abstract Dialectical Frameworks.
LTLf/LDLf Non-Markovian Rewards.
Goal-Driven Query Answering for Existential Rules With Equality.
Complexity of Verification in Incomplete Argumentation Frameworks.
Situation Calculus Semantics for Actual Causality.
How Many Properties Do We Need for Gradual Argumentation?
Combining Rules and Ontologies into Clopen Knowledge Bases.
Externally Supported Models for Efficient Computation of Paracoherent Answer Sets.
WiFi-Based Human Identification via Convex Tensor Shapelet Learning.
Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer Interface.
Deception Detection in Videos.
A Low-Cost Ethics Shaping Approach for Designing Reinforcement Learning Agents.
Coupled Deep Learning for Heterogeneous Face Recognition.
Beyond Sparsity: Tree Regularization of Deep Models for Interpretability.
Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing Their Input Gradients.
Towards Imperceptible and Robust Adversarial Example Attacks Against Neural Networks.
State of the Art: Reproducibility in Artificial Intelligence.
Adapting a Kidney Exchange Algorithm to Align With Human Values.
Adversarial Learning for Chinese NER From Crowd Annotations.
AdaFlock: Adaptive Feature Discovery for Human-in-the-loop Predictive Modeling.
Deep Learning from Crowds.
Information Gathering With Peers: Submodular Optimization With Peer-Prediction Constraints.
Partial Truthfulness in Minimal Peer Prediction Mechanisms With Limited Knowledge.
A Voting-Based System for Ethical Decision Making.
Understanding Social Interpersonal Interaction via Synchronization Templates of Facial Events.
Understanding Over Participation in Simple Contests.
Sentiment Analysis via Deep Hybrid Textual-Crowd Learning Model.
Semi-Supervised Learning From Crowds Using Deep Generative Models.
Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces.
Optimizing Interventions via Offline Policy Evaluation: Studies in Citizen Science.
Anchors: High-Precision Model-Agnostic Explanations.
How AI Wins Friends and Influences People in Repeated Games With Cheap Talk.
An Interpretable Joint Graphical Model for Fact-Checking From Crowds.
Human-in-the-Loop SLAM.
Emergence of Grounded Compositional Language in Multi-Agent Populations.
Interactively Learning a Blend of Goal-Based and Procedural Tasks.
An Interactive Multi-Label Consensus Labeling Model for Multiple Labeler Judgments.
Toward Deep Reinforcement Learning Without a Simulator: An Autonomous Steering Example.
A Coverage-Based Utility Model for Identifying Unknown Unknowns.
Memory-Augmented Monte Carlo Tree Search.
Noisy Derivative-Free Optimization With Value Suppression.
Large Scale Constrained Linear Regression Revisited: Faster Algorithms via Preconditioning.
Counting Linear Extensions in Practice: MCMC Versus Exponential Monte Carlo.
Submodular Function Maximization Over Graphs via Zero-Suppressed Binary Decision Diagrams.
Accelerated Best-First Search With Upper-Bound Computation for Submodular Function Maximization.
Disjunctive Program Synthesis: A Robust Approach to Programming by Example.
On Multiset Selection With Size Constraints.
Exact Clustering via Integer Programming and Maximum Satisfiability.
Streaming Non-Monotone Submodular Maximization: Personalized Video Summarization on the Fly.
Proximal Alternating Direction Network: A Globally Converged Deep Unrolling Framework.
On the Time and Space Complexity of Genetic Programming for Evolving Boolean Conjunctions.
Warmstarting of Model-Based Algorithm Configuration.
Revisiting Immediate Duplicate Detection in External Memory Search.
A Two-Stage MaxSAT Reasoning Approach for the Maximum Weight Clique Problem.
Locality Preserving Projection Based on F-norm.
A Recursive Scenario Decomposition Algorithm for Combinatorial Multistage Stochastic Optimisation Problems.
Efficiently Monitoring Small Data Modification Effect for Large-Scale Learning in Changing Environment.
Avoiding Dead Ends in Real-Time Heuristic Search.
Average-Case Approximation Ratio of Scheduling Without Payments.
Strategic Coordination of Human Patrollers and Mobile Sensors With Signaling for Security Games.
Incentive-Compatible Forecasting Competitions.
Equilibrium Computation and Robust Optimization in Zero Sum Games With Submodular Structure.
A Regression Approach for Modeling Games With Many Symmetric Players.
An Axiomatization of the Eigenvector and Katz Centralities.
It Takes (Only) Two: Adversarial Generator-Encoder Networks.
Rich Coalitional Resource Games.
Modelling Iterative Judgment Aggregation.
Non-Exploitable Protocols for Repeated Cake Cutting.
Axioms for Distance-Based Centralities.
Coalition Manipulation of Gale-Shapley Algorithm.
Traffic Optimization for a Mixture of Self-Interested and Compliant Agents.
MUDA: A Truthful Multi-Unit Double-Auction Mechanism.
Approximation-Variance Tradeoffs in Facility Location Games.
Fair Rent Division on a Budget.
Single-Peakedness and Total Unimodularity: New Polynomial-Time Algorithms for Multi-Winner Elections.
Balancing Lexicographic Fairness and a Utilitarian Objective With Application to Kidney Exchange.
On the Approximation of Nash Equilibria in Sparse Win-Lose Games.
Incentivizing High Quality User Contributions: New Arm Generation in Bandit Learning.
The Conference Paper Assignment Problem: Using Order Weighted Averages to Assign Indivisible Goods.
Robust Stackelberg Equilibria in Extensive-Form Games and Extension to Limited Lookahead.
Approximating Bribery in Scoring Rules.
Approximately Stable Matchings With Budget Constraints.
Policy Learning for Continuous Space Security Games Using Neural Networks.
Liquid Democracy: An Algorithmic Perspective.
Ranking Wily People Who Rank Each Other.
On Recognising Nearly Single-Crossing Preferences.
Committee Selection with Intraclass and Interclass Synergies.
Cooperative Games With Bounded Dependency Degree.
Weighted Voting Via No-Regret Learning.
The Complexity of Bribery in Network-Based Rating Systems.
Facility Location Games With Fractional Preferences.
On Social Envy-Freeness in Multi-Unit Markets.
Effective Heuristics for Committee Scoring Rules.
Tool Auctions.
Allocation Problems in Ride-Sharing Platforms: Online Matching With Offline Reusable Resources.
Resource Allocation Polytope Games: Uniqueness of Equilibrium, Price of Stability, and Price of Anarchy.
Computing the Strategy to Commit to in Polymatrix Games.
Disarmament Games With Resource.
On the Distortion of Voting With Multiple Representative Candidates.
Computational Results for Extensive-Form Adversarial Team Games.
Reinforcement Mechanism Design for Fraudulent Behaviour in e-Commerce.
AIVAT: A New Variance Reduction Technique for Agent Evaluation in Imperfect Information Games.
A Bayesian Clearing Mechanism for Combinatorial Auctions.
Multiwinner Elections With Diversity Constraints.
Truthful and Near-Optimal Mechanisms for Welfare Maximization in Multi-Winner Elections.
Groupwise Maximin Fair Allocation of Indivisible Goods.
Rank Maximal Equal Contribution: A Probabilistic Social Choice Function.
On the Complexity of Extended and Proportional Justified Representation.
Utilitarians Without Utilities: Maximizing Social Welfare for Graph Problems Using Only Ordinal Preferences.
PVL: A Framework for Navigating the Precision-Variety Trade-Off in Automated Animation of Smiles.
Asymmetric Action Abstractions for Multi-Unit Control in Adversarial Real-Time Games.
Event Representations for Automated Story Generation with Deep Neural Nets.
Minesweeper with Limited Moves.
Efficiently Approximating the Pareto Frontier: Hydropower Dam Placement in the Amazon Basin.
Preventing Infectious Disease in Dynamic Populations Under Uncertainty.
Optimal Spot-Checking for Improving Evaluation Accuracy of Peer Grading Systems.
Multi-Entity Dependence Learning With Rich Context via Conditional Variational Auto-Encoder.
Computation Error Analysis of Block Floating Point Arithmetic Oriented Convolution Neural Network Accelerator Design.
Predicting Links in Plant-Pollinator Interaction Networks Using Latent Factor Models With Implicit Feedback.
Group Sparse Bayesian Learning for Active Surveillance on Epidemic Dynamics.
Variational BOLT: Approximate Learning in Factorial Hidden Markov Models With Application to Energy Disaggregation.
DeepUrbanMomentum: An Online Deep-Learning System for Short-Term Urban Mobility Prediction.
Dispatch Guided Allocation Optimization for Effective Emergency Response.
Cellular Network Traffic Scheduling With Deep Reinforcement Learning.
DyETC: Dynamic Electronic Toll Collection for Traffic Congestion Alleviation.
Scalable Relaxations of Sparse Packing Constraints: Optimal Biocontrol in Predator-Prey Networks.
Transferring Decomposed Tensors for Scalable Energy Breakdown Across Regions.
Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory.
RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain Dialog Systems.
The Structural Affinity Method for Solving the Raven's Progressive Matrices Test for Intelligence.
Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph.
Towards Building Large Scale Multimodal Domain-Aware Conversation Systems.
Expected Utility with Relative Loss Reduction: A Unifying Decision Model for Resolving Four Well-Known Paradoxes.
Maximizing Activity in Ising Networks via the TAP Approximation.
HAN: Hierarchical Association Network for Computing Semantic Relatedness.
Style Transfer in Text: Exploration and Evaluation.
Learning From Unannotated QA Pairs to Analogically Disambiguate and Answer Questions.
Glass-Box Program Synthesis: A Machine Learning Approach.
Action Recognition From Skeleton Data via Analogical Generalization Over Qualitative Representations.
Explicit Reasoning over End-to-End Neural Architectures for Visual Question Answering.
A Plasticity-Centric Approach to Train the Non-Differential Spiking Neural Networks.
Thinking in PolAR Pictures: Using Rotation-Friendly Mental Images to Solve Leiter-R Form Completion.
A Unified Model for Document-Based Question Answering Based on Human-Like Reading Strategy.
Perceiving, Learning, and Recognizing 3D Objects: An Approach to Cognitive Service Robots.
Learning Nonlinear Dynamics in Efficient, Balanced Spiking Networks Using Local Plasticity Rules.
Inferring Emotion from Conversational Voice Data: A Semi-Supervised Multi-Path Generative Neural Network Approach.
Dynamic Network Embedding by Modeling Triadic Closure Process.
Attention-via-Attention Neural Machine Translation.
Joint Training for Neural Machine Translation Models with Monolingual Data.
Exploring Implicit Feedback for Open Domain Conversation Generation.
Unsupervised Generative Adversarial Cross-Modal Hashing.
Spatiotemporal Activity Modeling Under Data Scarcity: A Graph-Regularized Cross-Modal Embedding Approach.
Discovering and Distinguishing Multiple Visual Senses for Polysemous Words.
From Common to Special: When Multi-Attribute Learning Meets Personalized Opinions.
Urban Dreams of Migrants: A Case Study of Migrant Integration in Shanghai.
Multi-Facet Network Embedding: Beyond the General Solution of Detection and Representation.
Retrieving and Classifying Affective Images via Deep Metric Learning.
Contrastive Training for Models of Information Cascades.
RSDNE: Exploring Relaxed Similarity and Dissimilarity from Completely-Imbalanced Labels for Network Embedding.
Telepath: Understanding Users from a Human Vision Perspective in Large-Scale Recommender Systems.
Personalized Time-Aware Tag Recommendation.
A Multi-Task Learning Approach for Improving Product Title Compression with User Search Log Data.
Deep Asymmetric Transfer Network for Unbalanced Domain Adaptation.
Confidence-Aware Matrix Factorization for Recommender Systems.
Structural Deep Embedding for Hyper-Networks.
Towards Efficient Detection of Overlapping Communities in Massive Networks.
Improved English to Russian Translation by Neural Suffix Prediction.
Deep Region Hashing for Generic Instance Search from Images.
Binary Generative Adversarial Networks for Image Retrieval.
Location-Sensitive User Profiling Using Crowdsourced Labels.
Listening to the World Improves Speech Command Recognition.
DepthLGP: Learning Embeddings of Out-of-Sample Nodes in Dynamic Networks.
Cross-Lingual Entity Linking for Web Tables.
Early Detection of Fake News on Social Media Through Propagation Path Classification with Recurrent and Convolutional Networks.
Social Recommendation with an Essential Preference Space.
Community Detection in Attributed Graphs: An Embedding Approach.
FILE: A Novel Framework for Predicting Social Status in Signed Networks.
On Validation and Predictability of Digital Badges' Influence on Individual Users.
Robust Detection of Link Communities in Large Social Networks by Exploiting Link Semantics.
A Network-Specific Markov Random Field Approach to Community Detection.
Partial Multi-View Outlier Detection Based on Collective Learning.
VSE-ens: Visual-Semantic Embeddings with Efficient Negative Sampling.
Representation Learning for Scale-Free Networks.
Dual Deep Neural Networks Cross-Modal Hashing.
CA-RNN: Using Context-Aligned Recurrent Neural Networks for Modeling Sentence Similarity.
Privacy Preserving Point-of-Interest Recommendation Using Decentralized Matrix Factorization.
Neural Link Prediction over Aligned Networks.
Mitigating Overexposure in Viral Marketing.
Ranking Users in Social Networks With Higher-Order Structures.
TIMERS: Error-Bounded SVD Restart on Dynamic Networks.
Video Summarization via Semantic Attended Networks.
Catching Captain Jack: Efficient Time and Space Dependent Patrols to Combat Oil-Siphoning in International Waters.
Geographic Differential Privacy for Mobile Crowd Coverage Maximization.
CD-CNN: A Partially Supervised Cross-Domain Deep Learning Model for Urban Resident Recognition.
Synthesis of Programs from Multimodal Datasets.
When Social Advertising Meets Viral Marketing: Sequencing Social Advertisements for Influence Maximization.
Automated Segmentation of Overlapping Cytoplasm in Cervical Smear Images via Contour Fragments.
An AI Planning Solution to Scenario Generation for Enterprise Risk Management.
On Organizing Online Soirees with Live Multi-Streaming.
Generating an Event Timeline About Daily Activities From a Semantic Concept Stream.
Learning the Probability of Activation in the Presence of Latent Spreaders.
Uplink Communication Efficient Differentially Private Sparse Optimization With Feature-Wise Distributed Data.
Multi-View Multi-Graph Embedding for Brain Network Clustering Analysis.
Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction.
Early Prediction of Diabetes Complications from Electronic Health Records: A Multi-Task Survival Analysis Approach.
Deep Representation-Decoupling Neural Networks for Monaural Music Mixture Separation.
Norm Conflict Resolution in Stochastic Domains.
Predicting Aesthetic Score Distribution Through Cumulative Jensen-Shannon Divergence.
Tensorized Projection for High-Dimensional Binary Embedding.
Distributed Composite Quantization.
Beyond Distributive Fairness in Algorithmic Decision Making: Feature Selection for Procedurally Fair Learning.
Picasso, Matisse, or a Fake? Automated Analysis of Drawings at the Stroke Level for Attribution and Authentication.
MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment.
Comparing Population Means Under Local Differential Privacy: With Significance and Power.
Learning Differences Between Visual Scanning Patterns Can Disambiguate Bipolar and Unipolar Patients.
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples.
Algorithms for Trip-Vehicle Assignment in Ride-Sharing.
