• Multiple Descent: Design Your Own Generalization Curve

• Rethinking Bias-Variance Trade-off for Generalization of Neural Networks

• Generalization bounds for deep learning

• Bias and Generalization in Deep Generative Models: An Empirical Study

• Deep Double Descent: Where Bigger Models and More Data Hurt 

• Towards Out-Of-Distribution Generalization: A Survey 

• Domain generalization: A survey

• 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