No. 9: AAAI-21 Technical Tracks 9
AAAI Technical Track on Machine Learning II
Hypothesis Disparity Regularized Mutual Information Maximization
PDFQuery Training: Learning a Worse Model to Infer Better Marginals in Undirected Graphical Models with Hidden Variables
PDFMetrics and Continuity in Reinforcement Learning
PDFLipschitz Lifelong Reinforcement Learning
PDFNorm-Based Generalisation Bounds for Deep Multi-Class Convolutional Neural Networks
PDFLearnable Dynamic Temporal Pooling for Time Series Classification
PDFInterpretable Embedding Procedure Knowledge Transfer via Stacked Principal Component Analysis and Graph Neural Network
PDFUnsupervised Domain Adaptation for Semantic Segmentation by Content Transfer
PDFMemory and Computation-Efficient Kernel SVM via Binary Embedding and Ternary Model Coefficients
PDFEnhancing Parameter-Free Frank Wolfe with an Extra Subproblem
PDFUnsupervised Active Learning via Subspace Learning
PDFLRSC: Learning Representations for Subspace Clustering
PDFGoT: a Growing Tree Model for Clustering Ensemble
PDFVSQL: Variational Shadow Quantum Learning for Classification
PDFHigh Fidelity GAN Inversion via Prior Multi-Subspace Feature Composition
PDFShapeNet: A Shapelet-Neural Network Approach for Multivariate Time Series Classification
PDFA Bayesian Approach for Subset Selection in Contextual Bandits
PDFSelf-Paced Two-dimensional PCA
PDFLearning Intact Features by Erasing-Inpainting for Few-shot Classification
PDFToken-Aware Virtual Adversarial Training in Natural Language Understanding
PDFLearning Generalized Relational Heuristic Networks for Model-Agnostic Planning
PDFA Recipe for Global Convergence Guarantee in Deep Neural Networks
PDFBayesian Dynamic Mode Decomposition with Variational Matrix Factorization
PDFImproving Fairness and Privacy in Selection Problems
PDFA Flexible Framework for Communication-Efficient Machine Learning
PDFGLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning
PDFUnderstanding Catastrophic Overfitting in Single-step Adversarial Training
PDFCounterfactual Fairness with Disentangled Causal Effect Variational Autoencoder
PDFSplit-and-Bridge: Adaptable Class Incremental Learning within a Single Neural Network
PDFDPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation
PDFKernel-convoluted Deep Neural Networks with Data Augmentation
PDFNeural Sequence-to-grid Module for Learning Symbolic Rules
PDFVisual Concept Reasoning Networks
PDFSparsity Aware Normalization for GANs
PDFHINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference
PDFNearly Linear-Time, Parallelizable Algorithms for Non-Monotone Submodular Maximization
PDFAsynchronous Optimization Methods for Efficient Training of Deep Neural Networks with Guarantees
PDFPositions, Channels, and Layers: Fully Generalized Non-Local Network for Singer Identification
PDFMolGrow: A Graph Normalizing Flow for Hierarchical Molecular Generation
PDFCompressing Deep Convolutional Neural Networks by Stacking Low-dimensional Binary Convolution Filters
PDFAccurate and Robust Feature Importance Estimation under Distribution Shifts
PDFVariance Penalized On-Policy and Off-Policy Actor-Critic
PDFConstructing a Fair Classifier with Generated Fair Data
PDFNeural Utility Functions
PDFIB-GAN: Disentangled Representation Learning with Information Bottleneck Generative Adversarial Networks
PDFActive Bayesian Assessment of Black-Box Classifiers
PDFShow, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching
PDFDynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications
PDFIntrinsic Certified Robustness of Bagging against Data Poisoning Attacks
PDFClustering Ensemble Meets Low-rank Tensor Approximation
PDFAction Candidate Based Clipped Double Q-learning for Discrete and Continuous Action Tasks
PDFLightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification
PDFTemporal-Logic-Based Reward Shaping for Continuing Reinforcement Learning Tasks
PDFPower up! Robust Graph Convolutional Network via Graph Powering
PDFBalanced Open Set Domain Adaptation via Centroid Alignment
PDFLinearly Replaceable Filters for Deep Network Channel Pruning
PDFA Sample-Efficient Algorithm for Episodic Finite-Horizon MDP with Constraints
PDFWinning Lottery Tickets in Deep Generative Models
PDFExploration via State influence Modeling
PDFDeep Probabilistic Canonical Correlation Analysis
PDFTopology Distance: A Topology-Based Approach for Evaluating Generative Adversarial Networks
PDFStorage Fit Learning with Feature Evolvable Streams
PDFReinforcement Learning Based Multi-Agent Resilient Control: From Deep Neural Networks to an Adaptive Law
PDFSlimmable Generative Adversarial Networks
PDFDisentangled Representation Learning in Heterogeneous Information Network for Large-scale Android Malware Detection in the COVID-19 Era and Beyond
PDFGaussian Process Priors for View-Aware Inference
PDFBoosting Multi-task Learning Through Combination of Task Labels – with Applications in ECG Phenotyping
PDFOPQ: Compressing Deep Neural Networks with One-shot Pruning-Quantization
PDFMulti-scale Graph Fusion for Co-saliency Detection
PDFContinual Learning by Using Information of Each Class Holistically
PDFPredictive Adversarial Learning from Positive and Unlabeled Data
PDFMultidimensional Uncertainty-Aware Evidential Neural Networks
PDFAdversarial Defence by Diversified Simultaneous Training of Deep Ensembles
PDFAccelerating Continuous Normalizing Flow with Trajectory Polynomial Regularization
PDFAttributes-Guided and Pure-Visual Attention Alignment for Few-Shot Recognition
PDFLearning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning
PDFACMo: Angle-Calibrated Moment Methods for Stochastic Optimization
PDFPersonalized Cross-Silo Federated Learning on Non-IID Data
PDFReward-Biased Maximum Likelihood Estimation for Linear Stochastic Bandits
PDFLarge Batch Optimization for Deep Learning Using New Complete Layer-Wise Adaptive Rate Scaling
PDFHigh-Dimensional Bayesian Optimization via Tree-Structured Additive Models
PDFExplanation Consistency Training: Facilitating Consistency-Based Semi-Supervised Learning with Interpretability
PDFDeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning
PDFLiquid Time-constant Networks
PDFLearning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs
PDFAnalysing the Noise Model Error for Realistic Noisy Label Data
PDFProvably Good Solutions to the Knapsack Problem via Neural Networks of Bounded Size
PDFScaling-Up Robust Gradient Descent Techniques
PDFLearning Model-Based Privacy Protection under Budget Constraints
PDFGraph Game Embedding
PDFIncreasing Iterate Averaging for Solving Saddle-Point Problems
PDFUncertainty-Aware Multi-View Representation Learning
PDFJusticia: A Stochastic SAT Approach to Formally Verify Fairness
PDFThe Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective
PDFAttribute-Guided Adversarial Training for Robustness to Natural Perturbations
PDFEfficient On-Chip Learning for Optical Neural Networks Through Power-Aware Sparse Zeroth-Order Optimization
PDFAttentive Neural Point Processes for Event Forecasting
PDFRevisiting Iterative Back-Translation from the Perspective of Compositional Generalization
PDFControllable Guarantees for Fair Outcomes via Contrastive Information Estimation
PDFTowards Reusable Network Components by Learning Compatible Representations
PDFHiGAN: Handwriting Imitation Conditioned on Arbitrary-Length Texts and Disentangled Styles
PDFDiffusion Network Inference from Partial Observations
PDFStabilizing Q Learning Via Soft Mellowmax Operator
PDFOn the Convergence of Communication-Efficient Local SGD for Federated Learning
PDFA Trace-restricted Kronecker-Factored Approximation to Natural Gradient
PDFAddressing Domain Gap via Content Invariant Representation for Semantic Segmentation
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