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Neural networks
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#	Item
121	Disserta(on Talk: Exploring the Design Space of Deep Convolu(onal Neural Networks at Large Scale Forrest Iandola Add to Reading List Source URL: www.forrestiandola.com - Date: 2016-12-21 17:42:14
122	Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach Giorgio Patrini1,2 , Alessandro Rozza3 , Aditya Krishna Menon2,1 , Richard Nock2,1,4 , Lizhen Qu2,1 1 Australian National University, 2 Data61 Add to Reading List Source URL: giorgiop.github.io - Date: 2018-03-21 18:13:45
123	Constrained Convolutional Neural Networks for Weakly Supervised Segmentation Deepak Pathak Philipp Kr¨ahenb¨uhl Trevor Darrell University of California, Berkeley Add to Reading List Source URL: www.philkr.net - Date: 2017-10-06 12:46:13
124	Latte: A Language, Compiler, and Runtime for Elegant and Efficient Deep Neural Networks Leonard Truong Rajkishore Barik Add to Reading List Source URL: www.thev.net - Date: 2016-07-05 13:12:15
125	Kernel Pooling for Convolutional Neural Networks Yin Cui1,2∗ Feng Zhou3 Jiang Wang4 Xiao Liu3 Yuanqing Lin3 Serge Belongie1,2 1 Department of Computer Science, Cornell University 2 Cornell Tech 3 Baidu Research 4 Googl Add to Reading List Source URL: vision.cornell.edu - Date: 2017-04-11 01:10:09
126	Making deep neural networks robust to label noise: ! a loss correction approach Giorgio Patrini 23 July 2017 CVPR, Honolulu Add to Reading List Source URL: giorgiop.github.io - Date: 2018-03-21 18:13:46
127	Artist Identification with Convolutional Neural Networks Nitin Viswanathan Stanford University Abstract Add to Reading List Source URL: cs231n.stanford.edu - Date: 2017-07-03 02:59:04
128	Code available Local Binary Convolutional Neural Networks Felix Juefei Xu 1, Vishnu Naresh Boddeti 2, Marios Savvides 1 IEEE 2017 Conference on Add to Reading List Source URL: openaccess.thecvf.com - Date: 2018-01-22 22:32:21
129	One-shot Learning with Memory-Augmented Neural Networks Adam Santoro Google DeepMind ADAMSANTORO @ GOOGLE . COM Add to Reading List Source URL: arxiv.org

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