83 citations · 222 across the 15 of their papers we have counts for
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cs.CV2023★ 1 cited
Scaling may be all you need for achieving human-level object recognition capacity with human-like visual experience
A. Emin Orhan
This paper asks whether current self-supervised learning methods, if sufficiently scaled up, would be able to reach human-level visual object recognition capabilities with the same…
cs.CV2023★ 4 cited
Learning high-level visual representations from a child's perspective without strong inductive biases
A. Emin Orhan, Brenden M. Lake
Young children develop sophisticated internal models of the world based on their visual experience. Can such models be learned from a child's visual experience without strong induc…
cs.CL2023★ 1 cited
Recognition, recall, and retention of few-shot memories in large language models
A. Emin Orhan
The training of modern large language models (LLMs) takes place in a regime where most training examples are seen only a few times by the model during the course of training. What…