Rethinking Bias-Variance Trade-off for Generalization of Neural Networks
Bias and Generalization in Deep Generative Models: An Empirical Study
Generalizing to Unseen Domains: A Survey on Domain Generalization
Towards a Theoretical Framework of Out-of-Distribution Generalization
OoD-Bench: Benchmarking and Understanding Out-of-Distribution Generalization Datasets and Algorithms
More at https://sites.google.com/site/irinarish/ood_generalization (a subset to be selected)
Also:
https://arxiv.org/abs/2109.03795
https://arxiv.org/abs/2007.01434
https://arxiv.org/abs/2102.1143
https://arxiv.org/abs/2107.12580
https://arxiv.org/abs/2108.12284?context=cs.AI
http://proceedings.mlr.press/v119/sastry20a.htmlhttp://arxiv.org/abs/2106.03721
https://arxiv.org/abs/2108.13624