Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Cooper, Avi"'
Autor:
Srinivasan, Ravi, Mignacco, Francesca, Sorbaro, Martino, Refinetti, Maria, Cooper, Avi, Kreiman, Gabriel, Dellaferrera, Giorgia
"Forward-only" algorithms, which train neural networks while avoiding a backward pass, have recently gained attention as a way of solving the biologically unrealistic aspects of backpropagation. Here, we first address compelling challenges related to
Externí odkaz:
http://arxiv.org/abs/2302.05440
Autor:
Cooper, Avi, Boix, Xavier, Harari, Daniel, Madan, Spandan, Pfister, Hanspeter, Sasaki, Tomotake, Sinha, Pawan
The capability of Deep Neural Networks (DNNs) to recognize objects in orientations outside the distribution of the training data is not well understood. We present evidence that DNNs are capable of generalizing to objects in novel orientations by dis
Externí odkaz:
http://arxiv.org/abs/2109.13445
Autor:
Srinivasan, Ravi Francesco, Mignacco, Francesca, Sorbaro, Martino, Refinetti, Maria, Cooper, Avi, Kreiman, Gabriel, Dellaferrera, Giorgia
"Forward-only" algorithms, which train neural networks while avoiding a backward pass, have recently gained attention as a way of solving the biologically unrealistic aspects of backpropagation. Here, we first discuss the similarities between two "fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01fe5cb9e58715375c5edb03944d1ec7