Trading robust representations for sample complexity through self-supervised visual experience

Andrea Tacchetti, Stephen Voinea, Georgios Evangelopoulos

Neural Information Processing Systems 

Transformation invariance and learning in small sample regimes are among the most remarkable abilities of the human perceptual system, and arguably the ones that have proven most difficult to replicate in artificial systems.

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