Target Aware Network Adaptation for Efficient Representation Learning

Target Aware Network Adaptation for Efficient Representation Learning

2 October 2018

Papers citing "Target Aware Network Adaptation for Efficient Representation Learning"

12 / 12 papers shown

Title
ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression Jian-Hao Luo Jianxin Wu Weiyao Lin 52 1,760 0 20 Jul 2017
Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning Weifeng Ge Yizhou Yu 129 233 0 28 Feb 2017
Pruning Filters for Efficient ConvNets Hao Li Asim Kadav Igor Durdanovic H. Samet H. Graf 3DPC 188 3,693 0 31 Aug 2016
Learning Structured Sparsity in Deep Neural Networks W. Wen Chunpeng Wu Yandan Wang Yiran Chen Hai Helen Li 166 2,337 0 12 Aug 2016
Learning without Forgetting Zhizhong Li Derek Hoiem CLL OOD SSL 282 4,391 0 29 Jun 2016
Simultaneous Deep Transfer Across Domains and Tasks Eric Tzeng Judy Hoffman Trevor Darrell Kate Saenko OOD 77 1,367 0 08 Oct 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 243 8,821 0 01 Oct 2015
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 298 6,660 0 08 Jun 2015
Learning Transferable Features with Deep Adaptation Networks Mingsheng Long Yue Cao Jianmin Wang Michael I. Jordan OOD 215 5,194 0 10 Feb 2015
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 208 8,321 0 06 Nov 2014
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 541 15,861 0 12 Nov 2013
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition Jeff Donahue Yangqing Jia Oriol Vinyals Judy Hoffman Ning Zhang Eric Tzeng Trevor Darrell VLM ObjD 176 4,948 0 06 Oct 2013