4 citations · 8 across the 4 of their papers we have counts for
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cs.LG2021★ 2 cited
Pretrained Encoders are All You Need
Mina Khan, P Srivatsa, Advait Rane +4
Data-efficiency and generalization are key challenges in deep learning and deep reinforcement learning as many models are trained on large-scale, domain-specific, and expensive-to-…
cs.CV2021★ 1 cited
Personalizing Pre-trained Models
Mina Khan, P Srivatsa, Advait Rane +3
Self-supervised or weakly supervised models trained on large-scale datasets have shown sample-efficient transfer to diverse datasets in few-shot settings. We consider how upstream…