124 citations · 276 across the 23 of their papers we have counts for
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stat.ML2022★ 11 cited
Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning
Mayee F. Chen, Daniel Y. Fu, Avanika Narayan +4
An ideal learned representation should display transferability and robustness. Supervised contrastive learning (SupCon) is a promising method for training accurate models, but prod…
stat.ML2021★ 5 cited
On Convergence of Federated Averaging Langevin Dynamics
Wei Deng, Qian Zhang, Yi-An Ma +2
We propose a federated averaging Langevin algorithm (FA-LD) for uncertainty quantification and mean predictions with distributed clients. In particular, we generalize beyond normal…