No. 11: AAAI-21 Technical Tracks 11
AAAI Technical Track on Machine Learning IV
Adaptive Verifiable Training Using Pairwise Class Similarity
PDFAdaptive Algorithms for Multi-armed Bandit with Composite and Anonymous Feedback
PDFHarmonized Dense Knowledge Distillation Training for Multi-Exit Architectures
PDFTied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters
PDFDeep Recurrent Belief Propagation Network for POMDPs
PDFData-Free Knowledge Distillation with Soft Targeted Transfer Set Synthesis
PDFIncremental Embedding Learning via Zero-Shot Translation
PDFGene Regulatory Network Inference as Relaxed Graph Matching
PDFUnified Tensor Framework for Incomplete Multi-view Clustering and Missing-view Inferring
PDFGraphMix: Improved Training of GNNs for Semi-Supervised Learning
PDFPID-Based Approach to Adversarial Attacks
PDFNearest Neighbor Classifier Embedded Network for Active Learning
PDFContrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning
PDFApproximate Multiplication of Sparse Matrices with Limited Space
PDFProjection-free Online Learning in Dynamic Environments
PDFProjection-free Online Learning over Strongly Convex Sets
PDFMulti-View Information-Bottleneck Representation Learning
PDFSemi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks
PDFQuantum Exploration Algorithms for Multi-Armed Bandits
PDFLearning from Noisy Labels with Complementary Loss Functions
PDFDebiasing Evaluations That Are Biased by Evaluations
PDFEnhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion
PDFConsistency Regularization with High-dimensional Non-adversarial Source-guided Perturbation for Unsupervised Domain Adaptation in Segmentation
PDFEmbedding Heterogeneous Networks into Hyperbolic Space Without Meta-path
PDFAdversarial Linear Contextual Bandits with Graph-Structured Side Observations
PDFAddressing Class Imbalance in Federated Learning
PDFContrastive Transformation for Self-supervised Correspondence Learning
PDFTackling Instance-Dependent Label Noise via a Universal Probabilistic Model
PDFLearning with Group Noise
PDFMeta Learning for Causal Direction
PDFLearning Compositional Sparse Gaussian Processes with a Shrinkage Prior
PDFCharacterizing Deep Gaussian Processes via Nonlinear Recurrence Systems
PDFIterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods
PDFDifferentially Private and Fair Deep Learning: A Lagrangian Dual Approach
PDFLearning Adjustment Sets from Observational and Limited Experimental Data
PDF*-CFQ: Analyzing the Scalability of Machine Learning on a Compositional Task
PDFToward Robust Long Range Policy Transfer
PDFAvoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks
PDFDeep Fusion Clustering Network
PDFESCAPED: Efficient Secure and Private Dot Product Framework for Kernel-based Machine Learning Algorithms with Applications in Healthcare
PDFExpected Eligibility Traces
PDFContinual General Chunking Problem and SyncMap
PDFGated Linear Networks
PDFGradient Descent Averaging and Primal-dual Averaging for Strongly Convex Optimization
PDFEvolutionary Approach for AutoAugment Using the Thermodynamical Genetic Algorithm
PDFSemi-Supervised Knowledge Amalgamation for Sequence Classification
PDFOnline Non-Monotone DR-Submodular Maximization
PDFDetecting Adversarial Examples from Sensitivity Inconsistency of Spatial-Transform Domain
PDFTowards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration
PDFDIBS: Diversity Inducing Information Bottleneck in Model Ensembles
PDFDifferential Spectral Normalization (DSN) for PDE Discovery
PDFUNIPoint: Universally Approximating Point Processes Intensities
PDFSolving Common-Payoff Games with Approximate Policy Iteration
PDFImproving Gradient Flow with Unrolled Highway Expectation Maximization
PDFImplicit Kernel Attention
PDFError-Correcting Output Codes with Ensemble Diversity for Robust Learning in Neural Networks
PDFHierarchical Relational Inference
PDF‘Less Than One’-Shot Learning: Learning N Classes From M < N Samples
PDFHiABP: Hierarchical Initialized ABP for Unsupervised Representation Learning
PDFStability and Generalization of Decentralized Stochastic Gradient Descent
PDFTempLe: Learning Template of Transitions for Sample Efficient Multi-task RL
PDFPAC Learning of Causal Trees with Latent Variables
PDFLearning Dynamics Models with Stable Invariant Sets
PDFNear-Optimal Regret Bounds for Contextual Combinatorial Semi-Bandits with Linear Payoff Functions
PDFExplicitly Modeled Attention Maps for Image Classification
PDFProxy Graph Matching with Proximal Matching Networks
PDFStrategy and Benchmark for Converting Deep Q-Networks to Event-Driven Spiking Neural Networks
PDFEmpowering Adaptive Early-Exit Inference with Latency Awareness
PDFForesee then Evaluate: Decomposing Value Estimation with Latent Future Prediction
PDFAdvantageNAS: Efficient Neural Architecture Search with Credit Assignment
PDFActive Feature Selection for the Mutual Information Criterion
PDFLearning Precise Temporal Point Event Detection with Misaligned Labels
PDFMulti-type Disentanglement without Adversarial Training
PDFUncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks
PDFRight for Better Reasons: Training Differentiable Models by Constraining their Influence Functions
PDFMeta-Learning Effective Exploration Strategies for Contextual Bandits
PDFMembership Privacy for Machine Learning Models Through Knowledge Transfer
PDFTheoretically Principled Deep RL Acceleration via Nearest Neighbor Function Approximation
PDFTime Series Anomaly Detection with Multiresolution Ensemble Decoding
PDFSTL-SGD: Speeding Up Local SGD with Stagewise Communication Period
PDFPDO-eS2CNNs: Partial Differential Operator Based Equivariant Spherical CNNs
PDFPartial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning
PDFFederated Multi-Armed Bandits
PDFRaven’s Progressive Matrices Completion with Latent Gaussian Process Priors
PDFImproved Penalty Method via Doubly Stochastic Gradients for Bilevel Hyperparameter Optimization
PDFOnline Class-Incremental Continual Learning with Adversarial Shapley Value
PDFScalable Affinity Propagation for Massive Datasets
PDFInterpretable Sequence Classification via Discrete Optimization
PDFTowards Domain Invariant Single Image Dehazing
PDFAutoDropout: Learning Dropout Patterns to Regularize Deep Networks
PDFFast Multi-view Discrete Clustering with Anchor Graphs
PDFRelation-aware Graph Attention Model with Adaptive Self-adversarial Training
PDFUncertainty-Aware Policy Optimization: A Robust, Adaptive Trust Region Approach
PDFClassifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection
PDFOnline DR-Submodular Maximization: Minimizing Regret and Constraint Violation
PDFImproving Generative Moment Matching Networks with Distribution Partition
PDFMultiple Kernel Clustering with Kernel k-Means Coupled Graph Tensor Learning
PDFRobust Fairness Under Covariate Shift
PDFShuffling Recurrent Neural Networks
PDFWhy Adversarial Interaction Creates Non-Homogeneous Patterns: A Pseudo-Reaction-Diffusion Model for Turing Instability
PDFAdversarial Permutation Guided Node Representations for Link Prediction
PDFVisual Transfer For Reinforcement Learning Via Wasserstein Domain Confusion
PDFAnytime Inference with Distilled Hierarchical Neural Ensembles
PDFInverse Reinforcement Learning with Explicit Policy Estimates
PDFA Deeper Look at the Hessian Eigenspectrum of Deep Neural Networks and its Applications to Regularization
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