Hierarchical Modular Optimization of Convolutional Networks Achieves Representations Similar to Macaque IT and Human Ventral Stream. Yamins, D., Hong, H., Cadieu, C. F, & DiCarlo, J. J In Burges, C. J C, Bottou, L., Ghahramani, Z., & Weinberger, K. Q, editors, Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013, Lake Tahoe, Nevada, United States., pages 3093–3101, 2013.
Paper bibtex @inproceedings{Yamins:2013vu,
author = {Yamins, Daniel and Hong, Ha and Cadieu, Charles F and DiCarlo, James J},
title = {{Hierarchical Modular Optimization of Convolutional Networks Achieves Representations Similar to Macaque IT and Human Ventral Stream}},
booktitle = {Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013, Lake Tahoe, Nevada, United States.},
year = {2013},
editor = {Burges, Christopher J C and Bottou, L{\'e}on and Ghahramani, Zoubin and Weinberger, Kilian Q},
pages = {3093--3101},
annote = {somehow papers would fail for this paper's pdf... weird.
the PNAS 2014 paper is an extended version.},
keywords = {deep learning, ensemble, IT cortex},
rating = {0},
date-added = {2017-10-11T18:52:52GMT},
date-modified = {2017-10-11T19:49:18GMT},
url = {http://papers.nips.cc/paper/4991-hierarchical-modular-optimization-of-convolutional-networks-achieves-representations-similar-to-macaque-it-and-human-ventral-stream},
uri = {\url{papers3://publication/uuid/0CE823AA-F40E-447B-954C-F045E0F37BC5}}
}
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