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cs.CV2020★ 4 cited
Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning
Iro Laina, Ruth C. Fong, Andrea Vedaldi
The increasing impact of black box models, and particularly of unsupervised ones, comes with an increasing interest in tools to understand and interpret them. In this paper, we con…
cs.CV2020
On Compositions of Transformations in Contrastive Self-Supervised Learning
Mandela Patrick, Yuki M. Asano, Polina Kuznetsova +4
In the image domain, excellent representations can be learned by inducing invariance to content-preserving transformations via noise contrastive learning. In this paper, we general…