Vol. 34 No. 04: AAAI-20 Technical Tracks 4
AAAI Technical Track: Machine Learning
Semi-Supervised Streaming Learning with Emerging New Labels
PDFObserve Before Play: Multi-Armed Bandit with Pre-Observations
PDFSelf-Paced Robust Learning for Leveraging Clean Labels in Noisy Data
PDFLocal Regularizer Improves Generalization
PDFAn Ordinal Data Clustering Algorithm with Automated Distance Learning
PDFJoint Adversarial Learning for Domain Adaptation in Semantic Segmentation
PDFHypergraph Label Propagation Network
PDFOnline Second Price Auction with Semi-Bandit Feedback under the Non-Stationary Setting
PDFBridging Maximum Likelihood and Adversarial Learning via α-Divergence
PDFTowards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent
PDFHearing Lips: Improving Lip Reading by Distilling Speech Recognizers
PDFAn Annotation Sparsification Strategy for 3D Medical Image Segmentation via Representative Selection and Self-Training
PDFA Near-Optimal Change-Detection Based Algorithm for Piecewise-Stationary Combinatorial Semi-Bandits
PDFDeep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization
PDFDGE: Deep Generative Network Embedding Based on Commonality and Individuality
PDFSide Information Dependence as a Regularizer for Analyzing Human Brain Conditions across Cognitive Experiments
PDFMulti-View Spectral Clustering with Optimal Neighborhood Laplacian Matrix
PDFPosterior-Guided Neural Architecture Search
PDFSafe Sample Screening for Robust Support Vector Machine
PDFObject-Oriented Dynamics Learning through Multi-Level Abstraction
PDFA Knowledge-Aware Attentional Reasoning Network for Recommendation
PDFGSSNN: Graph Smoothing Splines Neural Networks
PDFShared Generative Latent Representation Learning for Multi-View Clustering
PDFDivide-and-Conquer Learning with Nyström: Optimal Rate and Algorithm
PDFFragmentation Coagulation Based Mixed Membership Stochastic Blockmodel
PDFTrading-Off Static and Dynamic Regret in Online Least-Squares and Beyond
PDFApprenticeship Learning via Frank-Wolfe
PDFFast Nonparametric Estimation of Class Proportions in the Positive-Unlabeled Classification Setting
PDFTopic Modeling on Document Networks with Adjacent-Encoder
PDFAggregated Gradient Langevin Dynamics
PDFCD-UAP: Class Discriminative Universal Adversarial Perturbation
PDFLearning from Positive and Unlabeled Data without Explicit Estimation of Class Prior
PDFPolicy Search by Target Distribution Learning for Continuous Control
PDFUniversal Value Iteration Networks: When Spatially-Invariant Is Not Universal
PDFSystematically Exploring Associations among Multivariate Data
PDFHigh Performance Depthwise and Pointwise Convolutions on Mobile Devices
PDFVariational Inference for Sparse Gaussian Process Modulated Hawkes Process
PDFAtari-HEAD: Atari Human Eye-Tracking and Demonstration Dataset
PDFOptimal Margin Distribution Learning in Dynamic Environments
PDFAutoShrink: A Topology-Aware NAS for Discovering Efficient Neural Architecture
PDFAdaptive Double-Exploration Tradeoff for Outlier Detection
PDFTapNet: Multivariate Time Series Classification with Attentional Prototypical Network
PDFGenerative-Discriminative Complementary Learning
PDFTo Avoid the Pitfall of Missing Labels in Feature Selection: A Generative Model Gives the Answer
PDFLight Multi-Segment Activation for Model Compression
PDFNot All Attention Is Needed: Gated Attention Network for Sequence Data
PDFOne-Shot Image Classification by Learning to Restore Prototypes
PDFEffective Data Augmentation with Multi-Domain Learning GANs
PDFPartial Label Learning with Batch Label Correction
PDFActive Learning with Query Generation for Cost-Effective Text Classification
PDFTowards Accurate Low Bit-Width Quantization with Multiple Phase Adaptations
PDFVariational Adversarial Kernel Learned Imitation Learning
PDFRevisiting Online Quantum State Learning
PDFBi-Directional Generation for Unsupervised Domain Adaptation
PDFHarmonious Coexistence of Structured Weight Pruning and Ternarization for Deep Neural Networks
PDFDistributed Primal-Dual Optimization for Online Multi-Task Learning
PDFML-LOO: Detecting Adversarial Examples with Feature Attribution
PDFDynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families
PDFGraph Few-Shot Learning via Knowledge Transfer
PDFEfficient Neural Architecture Search via Proximal Iterations
PDFMastering Complex Control in MOBA Games with Deep Reinforcement Learning
PDFA Novel Model for Imbalanced Data Classification
PDFODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems
PDFCharacterizing Membership Privacy in Stochastic Gradient Langevin Dynamics
PDFVector Quantization-Based Regularization for Autoencoders
PDFUnified Graph and Low-Rank Tensor Learning for Multi-View Clustering
PDFEstimating Early Fundraising Performance of Innovations via Graph-Based Market Environment Model
PDFMeta-Amortized Variational Inference and Learning
PDFRegional Tree Regularization for Interpretability in Deep Neural Networks
PDFSK-Net: Deep Learning on Point Cloud via End-to-End Discovery of Spatial Keypoints
PDFMulti-Label Causal Feature Selection
PDFDual Adversarial Co-Learning for Multi-Domain Text Classification
PDFEfficient Projection-Free Online Methods with Stochastic Recursive Gradient
PDFPartial Multi-Label Learning with Noisy Label Identification
PDFInfinite ShapeOdds: Nonparametric Bayesian Models for Shape Representations
PDFLearning Feature Interactions with Lorentzian Factorization Machine
PDFGromov-Wasserstein Factorization Models for Graph Clustering
PDFFederated Patient Hashing
PDFDeep Embedded Complementary and Interactive Information for Multi-View Classification
PDFAdversarial Domain Adaptation with Domain Mixup
PDFPartial Multi-Label Learning with Label Distribution
PDFContextual-Bandit Based Personalized Recommendation with Time-Varying User Interests
PDFReinforcement Learning with Perturbed Rewards
PDFCrowdfunding Dynamics Tracking: A Reinforcement Learning Approach
PDFDifferentially Private Learning with Small Public Data
PDFDual Relation Semi-Supervised Multi-Label Learning
PDFA Knowledge Transfer Framework for Differentially Private Sparse Learning
PDFUnsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling
PDFLearning from Weak-Label Data: A Deep Forest Expedition
PDFIntention Nets: Psychology-Inspired User Choice Behavior Modeling for Next-Basket Prediction
PDFMulti-Component Graph Convolutional Collaborative Filtering
PDFAttention-Guide Walk Model in Heterogeneous Information Network for Multi-Style Recommendation Explanation
PDFFederated Latent Dirichlet Allocation: A Local Differential Privacy Based Framework
PDFTransductive Ensemble Learning for Neural Machine Translation
PDFDynamic Network Pruning with Interpretable Layerwise Channel Selection
PDFAn Objective for Hierarchical Clustering in Euclidean Space and Its Connection to Bisecting K-means
PDFNon-Local U-Nets for Biomedical Image Segmentation
PDFAttention-over-Attention Field-Aware Factorization Machine
PDFTransparent Classification with Multilayer Logical Perceptrons and Random Binarization
PDFLess Is Better: Unweighted Data Subsampling via Influence Function
PDFMulti-View Multiple Clusterings Using Deep Matrix Factorization
PDFTowards Certificated Model Robustness Against Weight Perturbations
PDFOrder-Free Learning Alleviating Exposure Bias in Multi-Label Classification
PDFLearning to Crawl
PDFTransfer Learning for Anomaly Detection through Localized and Unsupervised Instance Selection
PDFMeta-Learning for Generalized Zero-Shot Learning
PDFDeep Conservative Policy Iteration
PDFJustification-Based Reliability in Machine Learning
PDFFast and Efficient Boolean Matrix Factorization by Geometric Segmentation
PDFReinforcement Learning Based Meta-Path Discovery in Large-Scale Heterogeneous Information Networks
PDFRobust Tensor Decomposition via Orientation Invariant Tubal Nuclear Norms
PDFRobust Self-Weighted Multi-View Projection Clustering
PDFLearning General Latent-Variable Graphical Models with Predictive Belief Propagation
PDFSetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback
PDFEstimating Stochastic Linear Combination of Non-Linear Regressions
PDFCompact Autoregressive Network
PDFNeural Cognitive Diagnosis for Intelligent Education Systems
PDFAdapting to Smoothness: A More Universal Algorithm for Online Convex Optimization
PDFRepetitive Reprediction Deep Decipher for Semi-Supervised Learning
PDFIncorporating Label Embedding and Feature Augmentation for Multi-Dimensional Classification
PDFM-NAS: Meta Neural Architecture Search
PDFLogo-2K+: A Large-Scale Logo Dataset for Scalable Logo Classification
PDFNew Interpretations of Normalization Methods in Deep Learning
PDFStealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning
PDFMulti-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labeled Nodes
PDFAttentive Experience Replay
PDFRevisiting Probability Distribution Assumptions for Information Theoretic Feature Selection
PDFAdversarial Transformations for Semi-Supervised Learning
PDFCGD: Multi-View Clustering via Cross-View Graph Diffusion
PDFLabel Enhancement with Sample Correlations via Low-Rank Representation
PDFDiscriminative Adversarial Domain Adaptation
PDFParameterized Indexed Value Function for Efficient Exploration in Reinforcement Learning
PDFJoint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values
PDFBeyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks
PDFReborn Filters: Pruning Convolutional Neural Networks with Limited Data
PDFDiscretizing Continuous Action Space for On-Policy Optimization
PDFBi-Objective Continual Learning: Learning ‘New’ While Consolidating ‘Known’
PDFScalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression
PDFBuilding Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors
PDFNetwork as Regularization for Training Deep Neural Networks: Framework, Model and Performance
PDFSanity Checks for Saliency Metrics
PDFDifferential Equation Units: Learning Functional Forms of Activation Functions from Data
PDFRevisiting Image Aesthetic Assessment via Self-Supervised Feature Learning
PDFGamma-Nets: Generalizing Value Estimation over Timescale
PDFDeep Time-Stream Framework for Click-through Rate Prediction by Tracking Interest Evolution
PDFQuadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization
PDFLoss-Based Attention for Deep Multiple Instance Learning
PDFDeep Message Passing on Sets
PDFBlock Hankel Tensor ARIMA for Multiple Short Time Series Forecasting
PDFMorphism-Based Learning for Structured Data
PDFHierarchically Clustered Representation Learning
PDFHLHLp: Quantized Neural Networks Training for Reaching Flat Minima in Loss Surface
PDFUncertainty-Aware Action Advising for Deep Reinforcement Learning Agents
PDFEfficient Facial Feature Learning with Wide Ensemble-Based Convolutional Neural Networks
PDFAggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers
PDFBivariate Beta-LSTM
PDFMega-Reward: Achieving Human-Level Play without Extrinsic Rewards
PDFInfomax Neural Joint Source-Channel Coding via Adversarial Bit Flip
PDFBenign Examples: Imperceptible Changes Can Enhance Image Translation Performance
PDFScalable Probabilistic Matrix Factorization with Graph-Based Priors
PDFLearning Efficient Representations for Fake Speech Detection
PDFLifelong Spectral Clustering
PDFChained Representation Cycling: Learning to Estimate 3D Human Pose and Shape by Cycling Between Representations
PDFWeakly Supervised Sequence Tagging from Noisy Rules
PDFRandom Intersection Graphs and Missing Data
PDFRank3DGAN: Semantic Mesh Generation Using Relative Attributes
PDFWeighted Sampling for Combined Model Selection and Hyperparameter Tuning
PDFGraph Representation Learning via Ladder Gamma Variational Autoencoders
PDFLearning Counterfactual Representations for Estimating Individual Dose-Response Curves
PDFUncertainty-Aware Deep Classifiers Using Generative Models
PDFEmpirical Bounds on Linear Regions of Deep Rectifier Networks
PDFUniversal Adversarial Training
PDFSequential Mode Estimation with Oracle Queries
PDFOnline Active Learning of Reject Option Classifiers
PDFImproved PAC-Bayesian Bounds for Linear Regression
PDFAdaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs
PDFTransfer Value Iteration Networks
PDFAUC Optimization with a Reject Option
PDFStable Learning via Sample Reweighting
PDFFractional Skipping: Towards Finer-Grained Dynamic CNN Inference
PDFGenerative Continual Concept Learning
PDFLinear Context Transform Block
PDFAchieving Fairness in the Stochastic Multi-Armed Bandit Problem
PDFMotif-Matching Based Subgraph-Level Attentional Convolutional Network for Graph Classification
PDFA Bayesian Approach for Estimating Causal Effects from Observational Data
PDFGeneralized Hidden Parameter MDPs:Transferable Model-Based RL in a Handful of Trials
PDFCAG: A Real-Time Low-Cost Enhanced-Robustness High-Transferability Content-Aware Adversarial Attack Generator
PDFDiversified Bayesian Nonnegative Matrix Factorization
PDFStochastic Approximate Gradient Descent via the Langevin Algorithm
PDFTemporal Network Embedding with High-Order Nonlinear Information
PDFA New Burrows Wheeler Transform Markov Distance
PDFHow Should an Agent Practice?
PDFSynthesizing Action Sequences for Modifying Model Decisions
PDFASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
PDFAbstract Interpretation of Decision Tree Ensemble Classifiers
PDFOptimizing Nondecomposable Data Dependent Regularizers via Lagrangian Reparameterization Offers Significant Performance and Efficiency Gains
PDFDARB: A Density-Adaptive Regular-Block Pruning for Deep Neural Networks
PDFDelay-Adaptive Distributed Stochastic Optimization
PDFFairness for Robust Log Loss Classification
PDFOn the Role of Weight Sharing During Deep Option Learning
PDFEnsembles of Locally Independent Prediction Models
PDFActionable Ethics through Neural Learning
PDFSelf-Supervised Learning for Generalizable Out-of-Distribution Detection
PDFLearning Weighted Model Integration Distributions
PDFAn Intrinsically-Motivated Approach for Learning Highly Exploring and Fast Mixing Policies
PDFEfficiently Enumerating Substrings with Statistically Significant Frequencies of Locally Optimal Occurrences in Gigantic String
PDFPairwise Fairness for Ranking and Regression
PDFBayesian Optimization for Categorical and Category-Specific Continuous Inputs
PDFReliable Multilabel Classification: Prediction with Partial Abstention
PDFOn the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models
PDFBrain-Mediated Transfer Learning of Convolutional Neural Networks
PDFMaximum Likelihood Embedding of Logistic Random Dot Product Graphs
PDFRadial and Directional Posteriors for Bayesian Deep Learning
PDFWeighted Automata Extraction from Recurrent Neural Networks via Regression on State Spaces
PDFCut-Based Graph Learning Networks to Discover Compositional Structure of Sequential Video Data
PDFUncorrected Least-Squares Temporal Difference with Lambda-Return
PDFLinear Bandits with Feature Feedback
PDFOvercoming Catastrophic Forgetting by Neuron-Level Plasticity Control
PDFAdversarial Localized Energy Network for Structured Prediction
PDFScaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks
PDFEvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
PDFUnsupervised Attributed Multiplex Network Embedding
PDFInefficiency of K-FAC for Large Batch Size Training
PDFTemporal Pyramid Recurrent Neural Network
PDFAdversarial Dynamic Shapelet Networks
PDFOnline Planner Selection with Graph Neural Networks and Adaptive Scheduling
PDFThe HSIC Bottleneck: Deep Learning without Back-Propagation
PDFProjective Quadratic Regression for Online Learning
PDFParticle Filter Recurrent Neural Networks
PDFReinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance
PDFPCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices
PDFCount-Based Exploration with the Successor Representation
PDFGraph-Hist: Graph Classification from Latent Feature Histograms with Application to Bot Detection
PDFLearning Agent Communication under Limited Bandwidth by Message Pruning
PDFMulti-Zone Unit for Recurrent Neural Networks
PDFNeural Inheritance Relation Guided One-Shot Layer Assignment Search
PDFRegularized Wasserstein Means for Aligning Distributional Data
PDFDeep Embedded Non-Redundant Clustering
PDFDifferentiable Reasoning on Large Knowledge Bases and Natural Language
PDFImproved Knowledge Distillation via Teacher Assistant
PDFOn Adaptivity in Information-Constrained Online Learning
PDFMetareasoning in Modular Software Systems: On-the-Fly Configuration Using Reinforcement Learning with Rich Contextual Representations
PDFAn ADMM Based Framework for AutoML Pipeline Configuration
PDFLayerwise Sparse Coding for Pruned Deep Neural Networks with Extreme Compression Ratio
PDFWeighted-Sampling Audio Adversarial Example Attack
PDFIndependence Promoted Graph Disentangled Networks
PDFAdaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning
PDFDiversified Interactive Recommendation with Implicit Feedback
PDFIPO: Interior-Point Policy Optimization under Constraints
PDFCollaborative Sampling in Generative Adversarial Networks
PDFUncertainty Aware Graph Gaussian Process for Semi-Supervised Learning
PDFInteractive Rare-Category-of-Interest Mining from Large Datasets
PDFTowards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk
PDFIncentivized Exploration for Multi-Armed Bandits under Reward Drift
PDFStructured Sparsification of Gated Recurrent Neural Networks
PDFCost-Effective Incentive Allocation via Structured Counterfactual Inference
PDFStructured Output Learning with Conditional Generative Flows
PDFEnhancing Nearest Neighbor Based Entropy Estimator for High Dimensional Distributions via Bootstrapping Local Ellipsoid
PDFLearning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks
PDFUnsupervised Domain Adaptation via Discriminative Manifold Embedding and Alignment
PDFFastened CROWN: Tightened Neural Network Robustness Certificates
PDFMemory Augmented Graph Neural Networks for Sequential Recommendation
PDFFlowScope: Spotting Money Laundering Based on Graphs
PDFOn the Learning Property of Logistic and Softmax Losses for Deep Neural Networks
PDFIVFS: Simple and Efficient Feature Selection for High Dimensional Topology Preservation
PDFA Forest from the Trees: Generation through Neighborhoods
PDFEfficient Automatic CASH via Rising Bandits
PDFLearning Signed Network Embedding via Graph Attention
PDFRTN: Reparameterized Ternary Network
PDFLearning to Auto Weight: Entirely Data-Driven and Highly Efficient Weighting Framework
PDFAdaptive Two-Dimensional Embedded Image Clustering
PDFTensor Completion for Weakly-Dependent Data on Graph for Metro Passenger Flow Prediction
PDFLMLFM: Longitudinal Multi-Level Factorization Machine
PDFInstance Enhancement Batch Normalization: An Adaptive Regulator of Batch Noise
PDFDifferentiable Algorithm for Marginalising Changepoints
PDFOOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization
PDFRandom Fourier Features via Fast Surrogate Leverage Weighted Sampling
PDFEC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks
PDFA Cluster-Weighted Kernel K-Means Method for Multi-View Clustering
PDFAttribute Propagation Network for Graph Zero-Shot Learning
PDFAutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates
PDFStochastic Loss Function
PDFURNet: User-Resizable Residual Networks with Conditional Gating Module
PDFSpatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents
PDFRobustness Certificates for Sparse Adversarial Attacks by Randomized Ablation
PDFStochastically Robust Personalized Ranking for LSH Recommendation Retrieval
PDFBeyond Unfolding: Exact Recovery of Latent Convex Tensor Decomposition Under Reshuffling
PDFInfrared-Visible Cross-Modal Person Re-Identification with an X Modality
PDFAutomated Spectral Kernel Learning
PDFGraph Attention Based Proposal 3D ConvNets for Action Detection
PDFSymmetric Metric Learning with Adaptive Margin for Recommendation
PDFPractical Federated Gradient Boosting Decision Trees
PDFNew Efficient Multi-Spike Learning for Fast Processing and Robust Learning
PDFSolving General Elliptical Mixture Models through an Approximate Wasserstein Manifold
PDFCoupled-View Deep Classifier Learning from Multiple Noisy Annotators
PDFStochastic Online Learning with Probabilistic Graph Feedback
PDFRelation Inference among Sensor Time Series in Smart Buildings with Metric Learning
PDFCo-GCN for Multi-View Semi-Supervised Learning
PDFTweedie-Hawkes Processes: Interpreting the Phenomena of Outbreaks
PDFNeural Graph Embedding for Neural Architecture Search
PDFUnderstanding the Disharmony between Weight Normalization Family and Weight Decay
PDFDo Subsampled Newton Methods Work for High-Dimensional Data?
PDFTowards Oracle Knowledge Distillation with Neural Architecture Search
PDFLarge-Scale Multi-View Subspace Clustering in Linear Time
PDFNonlinear System Identification via Tensor Completion
PDFGradient Boosts the Approximate Vanishing Ideal
PDFBeing Optimistic to Be Conservative: Quickly Learning a CVaR Policy
PDFOptions of Interest: Temporal Abstraction with Interest Functions
PDFPlug-in, Trainable Gate for Streamlining Arbitrary Neural Networks
PDFA Unified Framework for Knowledge Intensive Gradient Boosting: Leveraging Human Experts for Noisy Sparse Domains
PDFLearning Student Networks with Few Data
PDFSpecifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes
PDFStable Prediction with Model Misspecification and Agnostic Distribution Shift
PDFLearning MAX-SAT from Contextual Examples for Combinatorial Optimisation
PDFGoogle Research Football: A Novel Reinforcement Learning Environment
PDFCorrecting Predictions for Approximate Bayesian Inference
PDFImproved Subsampled Randomized Hadamard Transform for Linear SVM
PDFA Simple and Efficient Tensor Calculus
PDFProximity Preserving Binary Code Using Signed Graph-Cut
PDFResidual Neural Processes
PDFResidual Continual Learning
PDFMonte-Carlo Tree Search in Continuous Action Spaces with Value Gradients
PDFSemi-Supervised Learning for Maximizing the Partial AUC
PDFCo-Occurrence Estimation from Aggregated Data with Auxiliary Information
PDFClass Prior Estimation with Biased Positives and Unlabeled Examples
PDFMaximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles
PDFInvariant Representations through Adversarial Forgetting
PDFBounding Regret in Empirical Games
PDFAn Efficient Explorative Sampling Considering the Generative Boundaries of Deep Generative Neural Networks
PDFDefogGAN: Predicting Hidden Information in the StarCraft Fog of War with Generative Adversarial Nets
PDFSequential Recommendation with Relation-Aware Kernelized Self-Attention
PDFMaximum Margin Multi-Dimensional Classification
PDFRepresentation Learning with Multiple Lipschitz-Constrained Alignments on Partially-Labeled Cross-Domain Data
PDFAlgorithmic Improvements for Deep Reinforcement Learning Applied to Interactive Fiction
PDFGenerative Exploration and Exploitation
PDFLong Short-Term Sample Distillation
PDFRank Aggregation via Heterogeneous Thurstone Preference Models
PDFGraLSP: Graph Neural Networks with Local Structural Patterns
PDFDynamic Instance Normalization for Arbitrary Style Transfer
PDFInvNet: Encoding Geometric and Statistical Invariances in Deep Generative Models
PDFMore Accurate Learning of k-DNF Reference Classes
PDFAbsum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural Networks
PDFRobust Federated Learning via Collaborative Machine Teaching
PDFInterpretable and Differentially Private Predictions
PDFSNEQ: Semi-Supervised Attributed Network Embedding with Attention-Based Quantisation
PDFHeterogeneous Transfer Learning with Weighted Instance-Correspondence Data
PDFEPOC: Efficient Perception via Optimal Communication
PDFEigenvalue Normalized Recurrent Neural Networks for Short Term Memory
PDFReasoning on Knowledge Graphs with Debate Dynamics
PDFAn Attention-Based Graph Neural Network for Heterogeneous Structural Learning
PDFEnd-to-End Unpaired Image Denoising with Conditional Adversarial Networks
PDFTellTail: Fast Scoring and Detection of Dense Subgraphs
PDFQuery-Driven Multi-Instance Learning
PDFTowards Interpretation of Pairwise Learning
PDFDWM: A Decomposable Winograd Method for Convolution Acceleration
PDFUnsupervised Nonlinear Feature Selection from High-Dimensional Signed Networks
PDFFeature Variance Regularization: A Simple Way to Improve the Generalizability of Neural Networks
PDFMeta-Learning PAC-Bayes Priors in Model Averaging
PDFDIANet: Dense-and-Implicit Attention Network
PDFCollaborative Graph Convolutional Networks: Unsupervised Learning Meets Semi-Supervised Learning
PDFControl Flow Graph Embedding Based on Multi-Instance Decomposition for Bug Localization
PDFWord-Level Contextual Sentiment Analysis with Interpretability
PDFAdaptive Convolutional ReLUs
PDFInfinity Learning: Learning Markov Chains from Aggregate Steady-State Observations
PDFTensor-SVD Based Graph Learning for Multi-View Subspace Clustering
PDFCross-Modal Subspace Clustering via Deep Canonical Correlation Analysis
PDFA Multi-Channel Neural Graphical Event Model with Negative Evidence
PDFRevisiting Bilinear Pooling: A Coding Perspective
PDFImproved Algorithms for Conservative Exploration in Bandits
PDFModeling Dialogues with Hashcode Representations: A Nonparametric Approach
PDFReinforcement Learning with Non-Markovian Rewards
PDFDiachronic Embedding for Temporal Knowledge Graph Completion
PDFAdversarially Robust Distillation
PDFRobust Gradient-Based Markov Subsampling
PDFOnline Metric Learning for Multi-Label Classification
PDFPotential Passenger Flow Prediction: A Novel Study for Urban Transportation Development
PDFAlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows
PDFRobust Stochastic Bandit Algorithms under Probabilistic Unbounded Adversarial Attack
PDFNonlinear Mixup: Out-Of-Manifold Data Augmentation for Text Classification
PDFIWE-Net: Instance Weight Network for Locating Negative Comments and its application to improve Traffic User Experience
PDFAdaFilter: Adaptive Filter Fine-Tuning for Deep Transfer Learning
PDFHigh Tissue Contrast MRI Synthesis Using Multi-Stage Attention-GAN for Segmentation
PDFCapsule Routing via Variational Bayes
PDFSystem Identification with Time-Aware Neural Sequence Models
PDFReinforcing Neural Network Stability with Attractor Dynamics
PDFOptimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework
PDFIntegrating Overlapping Datasets Using Bivariate Causal Discovery
PDFImproving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian Learning
PDFGradient-Aware Model-Based Policy Search
PDFFairness in Network Representation by Latent Structural Heterogeneity in Observational Data
PDFOn the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning
PDFAn Information-Theoretic Quantification of Discrimination with Exempt Features
PDFUnsupervised Metric Learning with Synthetic Examples
PDFPolynomial Matrix Completion for Missing Data Imputation and Transductive Learning
PDFDistributionally Robust Counterfactual Risk Minimization
PDFRegularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness
PDFPrivacy-Preserving Gaussian Process Regression – A Modular Approach to the Application of Homomorphic Encryption
PDFLearning Triple Embeddings from Knowledge Graphs
PDFTraining Decision Trees as Replacement for Convolution Layers
PDFInduction of Subgoal Automata for Reinforcement Learning
PDFFast and Deep Graph Neural Networks
PDFOn the Parameterized Complexity of Clustering Incomplete Data into Subspaces of Small Rank
PDFDistilling Portable Generative Adversarial Networks for Image Translation
PDFTowards Better Forecasting by Fusing Near and Distant Future Visions
PDFSeq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples
PDFAdaptive Factorization Network: Learning Adaptive-Order Feature Interactions
PDFTime2Graph: Revisiting Time Series Modeling with Dynamic Shapelets
PDFSuspicion-Free Adversarial Attacks on Clustering Algorithms
PDFA General Approach to Fairness with Optimal Transport
PDFActive Learning in the Geometric Block Model
PDFDeep Mixed Effect Model Using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare
PDFA Constraint-Based Approach to Learning and Explanation
PDFRepresenting Closed Transformation Paths in Encoded Network Latent Space
PDFForgetting to Learn Logic Programs
PDFExploiting Spatial Invariance for Scalable Unsupervised Object Tracking
PDFLabel Error Correction and Generation through Label Relationships
PDFA Tale of Two-Timescale Reinforcement Learning with the Tightest Finite-Time Bound
PDFExplainable Data Decompositions
PDFA Skip-Connected Evolving Recurrent Neural Network for Data Stream Classification under Label Latency Scenario
PDFDNNs as Layers of Cooperating Classifiers
PDFMaking Existing Clusterings Fairer: Algorithms, Complexity Results and Insights
PDFFixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning
PDFFast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback
PDFVariational Metric Scaling for Metric-Based Meta-Learning
PDFA Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks
PDFWeakly Supervised Disentanglement by Pairwise Similarities
PDFOutlier Detection Ensemble with Embedded Feature Selection
PDFMulti-View Clustering in Latent Embedding Space
PDFAdversarial-Learned Loss for Domain Adaptation
PDFMulti-Range Attentive Bicomponent Graph Convolutional Network for Traffic Forecasting
PDFAutoDAL: Distributed Active Learning with Automatic Hyperparameter Selection
PDFOptimal Attack against Autoregressive Models by Manipulating the Environment
PDFMulti-View Partial Multi-Label Learning with Graph-Based Disambiguation
PDFCompressed Self-Attention for Deep Metric Learning
PDFSemi-Supervised Learning under Class Distribution Mismatch
PDFInstaNAS: Instance-Aware Neural Architecture Search
PDFHoMM: Higher-Order Moment Matching for Unsupervised Domain Adaptation
PDFOnline Knowledge Distillation with Diverse Peers
PDFMeasuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View
PDFECGadv: Generating Adversarial Electrocardiogram to Misguide Arrhythmia Classification System
PDFLS-Tree: Model Interpretation When the Data Are Linguistic
PDFGenerative Adversarial Networks for Video-to-Video Domain Adaptation
PDFEvent-Driven Continuous Time Bayesian Networks
PDFAn Efficient Evolutionary Algorithm for Subset Selection with General Cost Constraints
PDFA Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control
PDFProximal Distilled Evolutionary Reinforcement Learning
PDFEfficient Verification of ReLU-Based Neural Networks via Dependency Analysis
PDFInformation-Theoretic Understanding of Population Risk Improvement with Model Compression
PDFA Multi-Scale Approach for Graph Link Prediction
PDFDeterministic Value-Policy Gradients
PDFPredicting Propositional Satisfiability via End-to-End Learning
PDFActive Ordinal Querying for Tuplewise Similarity Learning
PDFFatigue-Aware Bandits for Dependent Click Models
PDFGeneralization Error Bounds of Gradient Descent for Learning Over-Parameterized Deep ReLU Networks
PDFExponential Family Graph Embeddings
PDFAsking the Right Questions to the Right Users: Active Learning with Imperfect Oracles
PDFLifelong Learning with a Changing Action Set
PDFReinforcement Learning When All Actions Are Not Always Available
PDFA Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models
PDFRobust Data Programming with Precision-guided Labeling Functions
PDFA New Ensemble Adversarial Attack Powered by Long-Term Gradient Memories
PDFToward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control
PDFLearning to Reason: Leveraging Neural Networks for Approximate DNF Counting
PDFQuantized Compressive Sampling of Stochastic Gradients for Efficient Communication in Distributed Deep Learning
PDFIndirect Stochastic Gradient Quantization and Its Application in Distributed Deep Learning
PDFImage-Adaptive GAN Based Reconstruction
PDFDeGAN: Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier
PDFBounds and Complexity Results for Learning Coalition-Based Interaction Functions in Networked Social Systems
PDFLearning Optimal Decision Trees Using Caching Branch-and-Bound Search
PDFDetecting Semantic Anomalies
PDFExact and Efficient Inference for Collective Flow Diffusion Model via Minimum Convex Cost Flow Algorithm
PDFPursuit of Low-Rank Models of Time-Varying Matrices Robust to Sparse and Measurement Noise
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