MITCBMM

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Últimos vídeos de MITCBMM

Aligning deep networks with human vision will require novel neural architectures, data diets and ...

The Indoor-Training Effect: Unexpected Gains from Distribution Shifts in the Transition Function

The success of CBMM and the people who made it possible

Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the...

Panel Discussion: Open Questions in Theory of Learning

Normalization models of attention

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The Center for Brains, Minds, and Machines (CBMM) supported by the National Science Foundation (NSF), under a Science and Technology Centers (STCs): Integrative Partnerships award, Grant No. CCF-1231216.

Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

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