Co-occurring keywords · papers mentioning both
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