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generalization gap

59 papers

Papers

On the Generalization Properties of Diffusion Models NeurIPS 2023 Toward Better PAC-Bayes Bounds for Uniformly Stable Algorithms NeurIPS 2023 Towards Understanding Generalization of Graph Neural Networks ICML 2023 A Unified View on PAC-Bayes Bounds for Meta-Learning ICML 2022 Generalization Gap in Amortized Inference NeurIPS 2022 Neuron with Steady Response Leads to Better Generalization NeurIPS 2022 PACm-Bayes: Narrowing the Empirical Risk Gap in the Misspecified Bayesian Regime AISTATS 2022 RelaxLoss: Defending Membership Inference Attacks without Losing Utility ICLR 2022 What Do We Mean by Generalization in Federated Learning? ICLR 2022 An Information-Geometric Distance on the Space of Tasks ICML 2021 ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks ICML 2021 Formalizing Generalization and Adversarial Robustness of Neural Networks to Weight Perturbations NeurIPS 2021 For self-supervised learning, Rationality implies generalization, provably ICLR 2021 Low Curvature Activations Reduce Overfitting in Adversarial Training ICCV 2021 Predicting Deep Neural Network Generalization with Perturbation Response Curves NeurIPS 2021 Rate-Distortion Analysis of Minimum Excess Risk in Bayesian Learning ICML 2021 SWAD: Domain Generalization by Seeking Flat Minima NeurIPS 2021 A Statistical Mechanics Framework for Task-Agnostic Sample Design in Machine Learning NeurIPS 2020 Extrapolation for Large-batch Training in Deep Learning ICML 2020 Interference and Generalization in Temporal Difference Learning ICML 2020 Learning Optimal Representations with the Decodable Information Bottleneck NeurIPS 2020 More Data Can Expand The Generalization Gap Between Adversarially Robust and Standard Models ICML 2020 On the interplay between noise and curvature and its effect on optimization and generalization AISTATS 2020 Towards Theoretically Understanding Why Sgd Generalizes Better Than Adam in Deep Learning NeurIPS 2020 UNAS: Differentiable Architecture Search Meets Reinforcement Learning CVPR 2020