most citedInducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network?

21 citations · 27 across the 3 of their papers we have counts for

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cs.RO2022

Learning A Simulation-based Visual Policy for Real-world Peg In Unseen Holes

Liang Xie, Hongxiang Yu, Kechun Xu +5

This paper proposes a learning-based visual peg-in-hole that enables training with several shapes in simulation, and adapting to arbitrary unseen shapes in real world with minimal…