24 citations · 37 across the 21 of their papers we have counts for
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cs.LG2023
Generator Born from Classifier
Runpeng Yu, Xinchao Wang
In this paper, we make a bold attempt toward an ambitious task: given a pre-trained classifier, we aim to reconstruct an image generator, without relying on any data samples. From…
cs.LG2023
Robust Long-Tailed Learning via Label-Aware Bounded CVaR
Hong Zhu, Runpeng Yu, Xing Tang +3
Data in the real-world classification problems are always imbalanced or long-tailed, wherein the majority classes have the most of the samples that dominate the model training. In…
cs.LG2023★ 2 cited
Distribution Shift Inversion for Out-of-Distribution Prediction
Runpeng Yu, Songhua Liu, Xingyi Yang +1
Machine learning society has witnessed the emergence of a myriad of Out-of-Distribution (OoD) algorithms, which address the distribution shift between the training and the testing…