No. 8: AAAI-21 Technical Tracks 8
AAAI Technical Track on Machine Learning I
Deep Graph Spectral Evolution Networks for Graph Topological Evolution
PDFAdversarial Training and Provable Robustness: A Tale of Two Objectives
PDFLearning a Gradient-free Riemannian Optimizer on Tangent Spaces
PDFLearning to Reweight with Deep Interactions
PDFDeep Switching Auto-Regressive Factorization: Application to Time Series Forecasting
PDFUAG: Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks
PDFSHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations
PDFLearning to Augment for Data-scarce Domain BERT Knowledge Distillation
PDFCollaborative Group Learning
PDFPractical and Rigorous Uncertainty Bounds for Gaussian Process Regression
PDFFew-Shot One-Class Classification via Meta-Learning
PDFTowards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning
PDFAgreement-Discrepancy-Selection: Active Learning with Progressive Distribution Alignment
PDFGeneralize a Small Pre-trained Model to Arbitrarily Large TSP Instances
PDFGeneralized Adversarially Learned Inference
PDFSample-Efficient L0-L2 Constrained Structure Learning of Sparse Ising Models
PDFLearning with Retrospection
PDFMercer Features for Efficient Combinatorial Bayesian Optimization
PDFDifferentially Private and Communication Efficient Collaborative Learning
PDFKnowledge Refinery: Learning from Decoupled Label
PDFSemi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization
PDFResidual Shuffle-Exchange Networks for Fast Processing of Long Sequences
PDFA One-Size-Fits-All Solution to Conservative Bandit Problems
PDFCombinatorial Pure Exploration with Full-Bandit or Partial Linear Feedback
PDFKnowledge Refactoring for Inductive Program Synthesis
PDFSemi-Supervised Metric Learning: A Deep Resurrection
PDFReinforcement Learning with Trajectory Feedback
PDFThe Parameterized Complexity of Clustering Incomplete Data
PDFLearning Prediction Intervals for Model Performance
PDFAdaptive Gradient Methods for Constrained Convex Optimization and Variational Inequalities
PDFProjection-Free Bandit Optimization with Privacy Guarantees
PDFLearning to Cascade: Confidence Calibration for Improving the Accuracy and Computational Cost of Cascade Inference Systems
PDFRegret Bounds for Batched Bandits
PDFAlmost Linear Time Density Level Set Estimation via DBSCAN
PDFScalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning
PDFAddressing Action Oscillations through Learning Policy Inertia
PDFCross-Layer Distillation with Semantic Calibration
PDFDistributed Ranking with Communications: Approximation Analysis and Applications
PDFTHOR, Trace-based Hardware-driven Layer-Oriented Natural Gradient Descent Computation
PDFNeural Relational Inference with Efficient Message Passing Mechanisms
PDFFitting the Search Space of Weight-sharing NAS with Graph Convolutional Networks
PDFDeep Spiking Neural Network with Neural Oscillation and Spike-Phase Information
PDFHyDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks
PDFNASGEM: Neural Architecture Search via Graph Embedding Method
PDFNeighborhood Consensus Networks for Unsupervised Multi-view Outlier Detection
PDFSelf-Progressing Robust Training
PDFContinuous-Time Attention for Sequential Learning
PDFTransfer Learning for Efficient Iterative Safety Validation
PDFComputationally Tractable Riemannian Manifolds for Graph Embeddings
PDFCost-aware Graph Generation: A Deep Bayesian Optimization Approach
PDFType-augmented Relation Prediction in Knowledge Graphs
PDFThe Value-Improvement Path: Towards Better Representations for Reinforcement Learning
PDFLoop Estimator for Discounted Values in Markov Reward Processes
PDFDifferentially Private Stochastic Coordinate Descent
PDFImproving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness
PDFCascade Size Distributions: Why They Matter and How to Compute Them Efficiently
PDFExploiting Diverse Characteristics and Adversarial Ambivalence for Domain Adaptive Segmentation
PDFTime Series Domain Adaptation via Sparse Associative Structure Alignment
PDFA Blind Block Term Decomposition of High Order Tensors
PDFOpen-Set Recognition with Gaussian Mixture Variational Autoencoders
PDFProvably Secure Federated Learning against Malicious Clients
PDFDual Quaternion Knowledge Graph Embeddings
PDFCounterfactual Explanations for Oblique Decision Trees:Exact, Efficient Algorithms
PDFCurriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning
PDFFrivolous Units: Wider Networks Are Not Really That Wide
PDFAutomated Clustering of High-dimensional Data with a Feature Weighted Mean Shift Algorithm
PDFHigh-Confidence Off-Policy (or Counterfactual) Variance Estimation
PDFA Multi-step-ahead Markov Conditional Forward Model with Cube Perturbations for Extreme Weather Forecasting
PDFExtending Multi-Sense Word Embedding to Phrases and Sentences for Unsupervised Semantic Applications
PDFOn Online Optimization: Dynamic Regret Analysis of Strongly Convex and Smooth Problems
PDFProvable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks
PDFDifferentially Private Decomposable Submodular Maximization
PDFUsing Hindsight to Anchor Past Knowledge in Continual Learning
PDFDeep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models
PDFAn Enhanced Advising Model in Teacher-Student Framework using State Categorization
PDFOn Lipschitz Regularization of Convolutional Layers using Toeplitz Matrix Theory
PDFThe Tractability of SHAP-Score-Based Explanations for Classification over Deterministic and Decomposable Boolean Circuits
PDFTabNet: Attentive Interpretable Tabular Learning
PDFRobust Model Compression Using Deep Hypotheses
PDFDeep Radial-Basis Value Functions for Continuous Control
PDFDecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation
PDFCorrelative Channel-Aware Fusion for Multi-View Time Series Classification
PDFDeterministic Mini-batch Sequencing for Training Deep Neural Networks
PDFRelative Variational Intrinsic Control
PDFA Theory of Independent Mechanisms for Extrapolation in Generative Models
PDFExGAN: Adversarial Generation of Extreme Samples
PDFOrdinal Historical Dependence in Graphical Event Models with Tree Representations
PDFCharacterizing the Loss Landscape in Non-Negative Matrix Factorization
PDFUnderstanding Decoupled and Early Weight Decay
PDFCommunication-Aware Collaborative Learning
PDFStochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks
PDFFast Training of Provably Robust Neural Networks by SingleProp
PDFSample-Specific Output Constraints for Neural Networks
PDFFairness, Semi-Supervised Learning, and More: A General Framework for Clustering with Stochastic Pairwise Constraints
PDFSWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors
PDFDART: Adaptive Accept Reject Algorithm for Non-Linear Combinatorial Bandits
PDFImproved Worst-Case Regret Bounds for Randomized Least-Squares Value Iteration
PDFSemi-supervised Sequence Classification through Change Point Detection
PDFLearning Invariant Representations using Inverse Contrastive Loss
PDFLearned Bi-Resolution Image Coding using Generalized Octave Convolutions
PDFDeep Bayesian Quadrature Policy Optimization
PDFeTREE: Learning Tree-structured Embeddings
PDFDoes Explainable Artificial Intelligence Improve Human Decision-Making?
PDFDecentralized Multi-Agent Linear Bandits with Safety Constraints
PDFComputing an Efficient Exploration Basis for Learning with Univariate Polynomial Features
PDFNoise Estimation Using Density Estimation for Self-Supervised Multimodal Learning
PDF