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20202023
most citedVoucher Abuse Detection with Prompt-based Fine-tuning on Graph Neural Networks

6 citations · 9 across the 3 of their papers we have counts for

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cs.LG2023

Two Heads are Actually Better than One: Towards Better Adversarial Robustness via Transduction and Rejection

Nils Palumbo, Yang Guo, Xi Wu +3

Both transduction and rejection have emerged as important techniques for defending against adversarial perturbations. A recent work by Goldwasser et al. showed that rejection combi…

cs.LG2021★ 2 cited

Towards Adversarial Robustness via Transductive Learning

Jiefeng Chen, Yang Guo, Xi Wu +4

There has been emerging interest to use transductive learning for adversarial robustness (Goldwasser et al., NeurIPS 2020; Wu et al., ICML 2020). Compared to traditional "test-time…

cs.LG2020

Representation Bayesian Risk Decompositions and Multi-Source Domain Adaptation

Xi Wu, Yang Guo, Jiefeng Chen +3

We consider representation learning (hypothesis class ) where training and test distributions can be different. Recent studies provide hi…