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cs.LG2022
Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization
Zifan Wang, Nan Ding, Tomer Levinboim +2
Recent research in robust optimization has shown an overfitting-like phenomenon in which models trained against adversarial attacks exhibit higher robustness on the training set co…
cs.LG2022★ 1 cited
PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification Tasks
Nan Ding, Xi Chen, Tomer Levinboim +2
With the increasing abundance of pretrained models in recent years, the problem of selecting the best pretrained checkpoint for a particular downstream classification task has been…