Representation Transfer by Optimal Transport

13 July 2020

Papers citing "Representation Transfer by Optimal Transport"

28 / 28 papers shown

Title
The State of Knowledge Distillation for Classification Fabian Ruffy K. Chahal 60 20 0 20 Dec 2019
Contrastive Representation Distillation Yonglong Tian Dilip Krishnan Phillip Isola 137 1,044 0 23 Oct 2019
Model Fusion via Optimal Transport Sidak Pal Singh Martin Jaggi MoMe FedML 92 232 0 12 Oct 2019
Similarity-Preserving Knowledge Distillation Frederick Tung Greg Mori 110 970 0 23 Jul 2019
Similarity of Neural Network Representations Revisited Simon Kornblith Mohammad Norouzi Honglak Lee Geoffrey E. Hinton 136 1,408 0 01 May 2019
Variational Information Distillation for Knowledge Transfer SungSoo Ahn S. Hu Andreas C. Damianou Neil D. Lawrence Zhenwen Dai 87 616 0 11 Apr 2019
Relational Knowledge Distillation Wonpyo Park Dongju Kim Yan Lu Minsu Cho 63 1,405 0 10 Apr 2019
DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks Xingjian Li Haoyi Xiong Hanchao Wang Yuxuan Rao Liping Liu Zeyu Chen Jun Huan 51 172 0 26 Jan 2019
Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation Liwei Wang Lunjia Hu Jiayuan Gu Y. Wu Zhiqiang Hu Kun He John E. Hopcroft SSL 57 116 0 28 Oct 2018
Insights on representational similarity in neural networks with canonical correlation Ari S. Morcos M. Raghu Samy Bengio DRL 52 445 0 14 Jun 2018
Computational Optimal Transport Gabriel Peyré Marco Cuturi OT 180 2,143 0 01 Mar 2018
Optimal Transport: Fast Probabilistic Approximation with Exact Solvers Max Sommerfeld Jörn Schrieber Y. Zemel Axel Munk OT 31 53 0 14 Feb 2018
Explicit Inductive Bias for Transfer Learning with Convolutional Networks Xuhong Li Yves Grandvalet Franck Davoine SSL 74 354 0 05 Feb 2018
Learning Generative Models with Sinkhorn Divergences Aude Genevay Gabriel Peyré Marco Cuturi OT 140 626 0 01 Jun 2017
Wide-Slice Residual Networks for Food Recognition N. Martinel G. Foresti C. Micheloni 95 201 0 20 Dec 2016
Learning without Forgetting Zhizhong Li Derek Hoiem CLL OOD SSL 277 4,391 0 29 Jun 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 299 7,971 0 23 May 2016
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 324 10,172 0 16 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.8K 193,426 0 10 Dec 2015
Convergent Learning: Do different neural networks learn the same representations? Yixuan Li J. Yosinski Jeff Clune Hod Lipson John E. Hopcroft SSL 81 368 0 24 Nov 2015
Simultaneous Deep Transfer Across Domains and Tasks Eric Tzeng Judy Hoffman Trevor Darrell Kate Saenko OOD 77 1,367 0 08 Oct 2015
Optimal Transport for Domain Adaptation Nicolas Courty Rémi Flamary D. Tuia A. Rakotomamonjy OT OOD 108 1,117 0 02 Jul 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 300 19,580 0 09 Mar 2015
Learning Transferable Features with Deep Adaptation Networks Mingsheng Long Yue Cao Jianmin Wang Michael I. Jordan OOD 213 5,189 0 10 Feb 2015
FitNets: Hints for Thin Deep Nets Adriana Romero Nicolas Ballas Samira Ebrahimi Kahou Antoine Chassang C. Gatta Yoshua Bengio FedML 266 3,870 0 19 Dec 2014
Deep Domain Confusion: Maximizing for Domain Invariance Eric Tzeng Judy Hoffman Ning Zhang Kate Saenko Trevor Darrell OOD 165 2,598 0 10 Dec 2014
Fine-Grained Visual Classification of Aircraft Subhransu Maji Esa Rahtu Arno Solin Matthew Blaschko Andrea Vedaldi 107 2,252 0 21 Jun 2013
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances Marco Cuturi OT 178 4,251 0 04 Jun 2013