On the need for a language describing distribution shifts: Illustrations on tabular datasets

J Liu, T Wang, P Cui… - Advances in Neural …, 2024 - proceedings.neurips.cc
Different distribution shifts require different algorithmic and operational interventions.
Methodological research must be grounded by the specific shifts they address. Although …

Nico++: Towards better benchmarking for domain generalization

X Zhang, Y He, R Xu, H Yu… - Proceedings of the …, 2023 - openaccess.thecvf.com
Despite the remarkable performance that modern deep neural networks have achieved on
independent and identically distributed (IID) data, they can crash under distribution shifts …