Hierarchical Modular Optimization of Convolutional Networks Achieves Representations Similar to Macaque IT and Human Ventral Stream

Daniel Yamins, Ha Hong, Charles F. Cadieu, James J. DiCarlo. Hierarchical Modular Optimization of Convolutional Networks Achieves Representations Similar to Macaque IT and Human Ventral Stream. In Christopher J. C. Burges, Léon Bottou, Zoubin Ghahramani, Kilian Q. Weinberger, 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. [doi]

@inproceedings{YaminsHCD13,
  title = {Hierarchical Modular Optimization of Convolutional Networks Achieves Representations Similar to Macaque IT and Human Ventral Stream},
  author = {Daniel Yamins and Ha Hong and Charles F. Cadieu and James J. DiCarlo},
  year = {2013},
  url = {http://papers.nips.cc/paper/4991-hierarchical-modular-optimization-of-convolutional-networks-achieves-representations-similar-to-macaque-it-and-human-ventral-stream},
  researchr = {https://researchr.org/publication/YaminsHCD13},
  cites = {0},
  citedby = {0},
  pages = {3093-3101},
  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},
  editor = {Christopher J. C. Burges and Léon Bottou and Zoubin Ghahramani and Kilian Q. Weinberger},
}