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20202026
most citedSKDCGN: Source-free Knowledge Distillation of Counterfactual Generative Networks using cGANs

1 citations · 1 across the 9 of their papers we have counts for

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cs.LG2025

Hierarchical Adaptive networks with Task vectors for Test-Time Adaptation

Sameer Ambekar, Marta Hasny, Laura Daza +2

Test-time adaptation allows pretrained models to adjust to incoming data streams, addressing distribution shifts between source and target domains. However, standard methods rely o…

cs.LG2025

GeneralizeFormer: Layer-Adaptive Model Generation across Test-Time Distribution Shifts

Sameer Ambekar, Zehao Xiao, Xiantong Zhen +1

We consider the problem of test-time domain generalization, where a model is trained on several source domains and adjusted on target domains never seen during training. Different…