Contrastive Learning for Lifted Networks

7 May 2019

Papers citing "Contrastive Learning for Lifted Networks"

14 / 14 papers shown

Title
Fenchel Lifted Networks: A Lagrange Relaxation of Neural Network Training Fangda Gu Armin Askari L. Ghaoui 40 39 0 20 Nov 2018
Lifted Proximal Operator Machines Jia Li Cong Fang Zhouchen Lin ODL 26 36 0 05 Nov 2018
Beyond Backprop: Online Alternating Minimization with Auxiliary Variables A. Choromańska Benjamin Cowen Yara Rizk Ronny Luss Mattia Rigotti ... Brian Kingsbury Paolo Diachille V. Gurev Ravi Tejwani Djallel Bouneffouf 36 53 0 24 Jun 2018
Lifted Neural Networks Armin Askari Geoffrey Negiar Rajiv Sambharya L. Ghaoui 81 37 0 03 May 2018
A Proximal Block Coordinate Descent Algorithm for Deep Neural Network Training Tim Tsz-Kit Lau Jinshan Zeng Baoyuan Wu Yuan Yao ODL 28 33 0 24 Mar 2018
Convergent Block Coordinate Descent for Training Tikhonov Regularized Deep Neural Networks Ziming Zhang M. Brand 35 70 0 20 Nov 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 127 8,807 0 25 Aug 2017
Proximal Backpropagation Thomas Frerix Thomas Möllenhoff Michael Möller Daniel Cremers 40 31 0 14 Jun 2017
Trusting SVM for Piecewise Linear CNNs Leonard Berrada Andrew Zisserman M. P. Kumar 36 11 0 07 Nov 2016
Decoupled Neural Interfaces using Synthetic Gradients Max Jaderberg Wojciech M. Czarnecki Simon Osindero Oriol Vinyals Alex Graves David Silver Koray Kavukcuoglu 60 356 0 18 Aug 2016
Training Neural Networks Without Gradients: A Scalable ADMM Approach Gavin Taylor R. Burmeister Zheng Xu Bharat Singh Ankit B. Patel Tom Goldstein ODL 42 274 0 06 May 2016
Equilibrium Propagation: Bridging the Gap Between Energy-Based Models and Backpropagation B. Scellier Yoshua Bengio 58 483 0 16 Feb 2016
Difference Target Propagation Dong-Hyun Lee Saizheng Zhang Asja Fischer Yoshua Bengio AAML 46 346 0 23 Dec 2014
Distributed optimization of deeply nested systems M. A. Carreira-Perpiñán Weiran Wang 61 193 0 24 Dec 2012