No. 12: AAAI-21 Technical Tracks 12
AAAI Technical Track on Machine Learning V
Multi-task Learning by Leveraging the Semantic Information
PDFMetaAugment: Sample-Aware Data Augmentation Policy Learning
PDFInformer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
PDFInverse Reinforcement Learning with Natural Language Goals
PDFTri-level Robust Clustering Ensemble with Multiple Graph Learning
PDFFairness in Forecasting and Learning Linear Dynamical Systems
PDFTemporal-Coded Deep Spiking Neural Network with Easy Training and Robust Performance
PDFLocal Differential Privacy for Bayesian Optimization
PDFA Primal-Dual Online Algorithm for Online Matching Problem in Dynamic Environments
PDFGraph Neural Networks with Heterophily
PDFBias and Variance of Post-processing in Differential Privacy
PDFSelf-correcting Q-learning
PDFAn Efficient Algorithm for Deep Stochastic Contextual Bandits
PDFVariational Fair Clustering
PDFLearning Task-Distribution Reward Shaping with Meta-Learning
PDFDeep Wasserstein Graph Discriminant Learning for Graph Classification
PDFTreatment Effect Estimation with Disentangled Latent Factors
PDFRegret Bounds for Online Kernel Selection in Continuous Kernel Space
PDFThe Sample Complexity of Teaching by Reinforcement on Q-Learning
PDFPartial-Label and Structure-constrained Deep Coupled Factorization Network
PDFMemory-Gated Recurrent Networks
PDFTowards Enabling Learnware to Handle Unseen Jobs
PDFExploiting Unlabeled Data via Partial Label Assignment for Multi-Class Semi-Supervised Learning
PDFLooking Wider for Better Adaptive Representation in Few-Shot Learning
PDFDistilling Localization for Self-Supervised Representation Learning
PDFExploratory Machine Learning with Unknown Unknowns
PDFEfficient Classification with Adaptive KNN
PDFData Augmentation for Graph Neural Networks
PDFAugmenting Policy Learning with Routines Discovered from a Single Demonstration
PDFImproved Consistency Regularization for GANs
PDFFlow-based Generative Models for Learning Manifold to Manifold Mappings
PDFMeta Label Correction for Noisy Label Learning
PDFGoing Deeper With Directly-Trained Larger Spiking Neural Networks
PDFFully-Connected Tensor Network Decomposition and Its Application to Higher-Order Tensor Completion
PDFHow Does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches?
PDFIdentity-aware Graph Neural Networks
PDFHow Does Data Augmentation Affect Privacy in Machine Learning?
PDFDAST: Unsupervised Domain Adaptation in Semantic Segmentation Based on Discriminator Attention and Self-Training
PDFAny-Precision Deep Neural Networks
PDFPersonalized Adaptive Meta Learning for Cold-start User Preference Prediction
PDFMeasuring Dependence with Matrix-based Entropy Functional
PDFLearning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis
PDFKnowledge-Guided Object Discovery with Acquired Deep Impressions
PDFCurse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning
PDFAre Adversarial Examples Created Equal? A Learnable Weighted Minimax Risk for Robustness under Non-uniform Attacks
PDFContrastive Self-supervised Learning for Graph Classification
PDFData-driven Competitive Algorithms for Online Knapsack and Set Cover
PDFA Hybrid Stochastic Gradient Hamiltonian Monte Carlo Method
PDFCloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream Forecasting
PDFExploration by Maximizing Renyi Entropy for Reward-Free RL Framework
PDFEfficient Folded Attention for Medical Image Reconstruction and Segmentation
PDFInterpreting Multivariate Shapley Interactions in DNNs
PDFSample Efficient Reinforcement Learning with REINFORCE
PDFSecure Bilevel Asynchronous Vertical Federated Learning with Backward Updating
PDFMean-Variance Policy Iteration for Risk-Averse Reinforcement Learning
PDFToward Understanding the Influence of Individual Clients in Federated Learning
PDFAdversarial Partial Multi-Label Learning with Label Disambiguation
PDFNear Lossless Transfer Learning for Spiking Neural Networks
PDFDeHiB: Deep Hidden Backdoor Attack on Semi-supervised Learning via Adversarial Perturbation
PDFRobust Bandit Learning with Imperfect Context
PDFHierarchical Graph Capsule Network
PDFFracBits: Mixed Precision Quantization via Fractional Bit-Widths
PDFOn Convergence of Gradient Expected Sarsa(λ)
PDFSample Complexity of Policy Gradient Finding Second-Order Stationary Points
PDFWCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning
PDFCharacterizing the Evasion Attackability of Multi-label Classifiers
PDFSeCo: Exploring Sequence Supervision for Unsupervised Representation Learning
PDFADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
PDFImproving Sample Efficiency in Model-Free Reinforcement Learning from Images
PDFTask Cooperation for Semi-Supervised Few-Shot Learning
PDFAmata: An Annealing Mechanism for Adversarial Training Acceleration
PDFSequential Generative Exploration Model for Partially Observable Reinforcement Learning
PDFEnhanced Audio Tagging via Multi- to Single-Modal Teacher-Student Mutual Learning
PDFImage-to-Image Retrieval by Learning Similarity between Scene Graphs
PDFLearning Interpretable Models for Coupled Networks Under Domain Constraints
PDFNeural Architecture Search as Sparse Supernet
PDFLearning to Purify Noisy Labels via Meta Soft Label Corrector
PDFNear-Optimal MNL Bandits Under Risk Criteria
PDFCommunication-Efficient Frank-Wolfe Algorithm for Nonconvex Decentralized Distributed Learning
PDFPhysics-constrained Automatic Feature Engineering for Predictive Modeling in Materials Science
PDFDistant Transfer Learning via Deep Random Walk
PDFLearning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation
PDFLearning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler
PDFDomain Adaptation In Reinforcement Learning Via Latent Unified State Representation
PDFNon-asymptotic Convergence of Adam-type Reinforcement Learning Algorithms under Markovian Sampling
PDFVariational Disentanglement for Rare Event Modeling
PDFStep-Ahead Error Feedback for Distributed Training with Compressed Gradient
PDFIsolation Graph Kernel
PDFMulti-Task Recurrent Modular Networks
PDFLearning Graphons via Structured Gromov-Wasserstein Barycenters
PDFTowards Generalized Implementation of Wasserstein Distance in GANs
PDFTowards Feature Space Adversarial Attack by Style Perturbation
PDFMUFASA: Multimodal Fusion Architecture Search for Electronic Health Records
PDFDeep Frequency Principle Towards Understanding Why Deeper Learning Is Faster
PDFRethinking Bi-Level Optimization in Neural Architecture Search: A Gibbs Sampling Perspective
PDFLearning Set Functions that are Sparse in Non-Orthogonal Fourier Bases
PDFBANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search
PDFPeer Collaborative Learning for Online Knowledge Distillation
PDFSelf-Supervised Attention-Aware Reinforcement Learning
PDFTraining Spiking Neural Networks with Accumulated Spiking Flow
PDFFast and Scalable Adversarial Training of Kernel SVM via Doubly Stochastic Gradients
PDFFine-grained Generalization Analysis of Vector-Valued Learning
PDFFrugal Optimization for Cost-related Hyperparameters
PDFFederated Block Coordinate Descent Scheme for Learning Global and Personalized Models
PDFCurriculum-Meta Learning for Order-Robust Continual Relation Extraction
PDFFractal Autoencoders for Feature Selection
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