236 citations · 468 across the 20 of their papers we have counts for
4 papers · 1 filter
NICO++: Towards Better Benchmarking for Domain Generalization
Xingxuan Zhang, Yue He, Renzhe Xu +3
Despite the remarkable performance that modern deep neural networks have achieved on independent and identically distributed (I.I.D.) data, they can crash under distribution shifts…
Towards Unsupervised Domain Generalization
Xingxuan Zhang, Linjun Zhou, Renzhe Xu +3
Domain generalization (DG) aims to help models trained on a set of source domains generalize better on unseen target domains. The performances of current DG methods largely rely on…
Towards Non-I.I.D. Image Classification: A Dataset and Baselines
Yue He, Zheyan Shen, Peng Cui
I.I.D. hypothesis between training and testing data is the basis of numerous image classification methods. Such property can hardly be guaranteed in practice where the Non-IIDness…
Causally Regularized Learning with Agnostic Data Selection Bias
Zheyan Shen, Peng Cui, Kun Kuang +2
Most of previous machine learning algorithms are proposed based on the i.i.d. hypothesis. However, this ideal assumption is often violated in real applications, where selection bia…