no code implementations • 2 Jun 2021 • Mina Khan, P Srivatsa, Advait Rane, Shriram Chenniappa, Asadali Hazariwala, Pattie Maes
Self-supervised or weakly supervised models trained on large-scale datasets have shown sample-efficient transfer to diverse datasets in few-shot settings.
1 code implementation • ICML Workshop URL 2021 • Mina Khan, P Srivatsa, Advait Rane, Shriram Chenniappa, Rishabh Anand, Sherjil Ozair, Pattie Maes
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-label datasets.