Showing 481–500 of 1,000 results
/ Date/ Name
Feb 16, 2021Joint self-supervised blind denoising and noise estimationFeb 12, 2021Bayesian Neural Network Priors RevisitedFeb 11, 2021Meta-Thompson SamplingFeb 10, 2021On the Existence of Optimal Transport Gradient for Learning Generative ModelsJan 26, 2021Probability distributions for analog-to-target distancesJan 17, 2021Cost-Efficient Online Hyperparameter OptimizationJan 12, 2021Data augmentation and feature selection for automatic model recommendation in computational physicsJan 5, 2021Structured Machine Learning Tools for Modelling Characteristics of Guided WavesDec 31, 2020Explicit regularization and implicit bias in deep network classifiers trained with the square lossDec 28, 2020Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts GeneralizationDec 13, 2020Explanation from SpecificationNov 24, 2020Energy-Based Models for Continual LearningNov 20, 2020Variational Laplace for Bayesian neural networksNov 12, 2020A partition-based similarity for classification distributionsNov 4, 2020On the Convergence of Gradient Descent in GANs: MMD GAN As a Gradient FlowOct 23, 2020Counterfactual Representation Learning with Balancing WeightsOct 19, 2020Robust Optimization as Data Augmentation for Large-scale GraphsOct 14, 2020Theoretical bounds on estimation error for meta-learningOct 14, 2020Function Contrastive Learning of Transferable Meta-RepresentationsOct 5, 2020How Effective is Task-Agnostic Data Augmentation for Pretrained Transformers?