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Modularizing Deep Learning via Pairwise Learning With Kernels

12 May 2020

Papers citing "Modularizing Deep Learning via Pairwise Learning With Kernels"

30 / 30 papers shown

Title
An Information-Theoretic Approach to Transferability in Task Transfer Learning Yajie Bao Yongni Li Shao-Lun Huang Lin Zhang Lizhong Zheng Amir Zamir Leonidas Guibas 76 122 0 20 Dec 2022
Kernelized information bottleneck leads to biologically plausible 3-factor Hebbian learning in deep networks Roman Pogodin P. Latham 140 35 0 12 Jun 2020
Neural Kernels Without Tangents Vaishaal Shankar Alex Fang Wenshuo Guo Sara Fridovich-Keil Ludwig Schmidt Jonathan Ragan-Kelley Benjamin Recht 54 91 0 04 Mar 2020
LEEP: A New Measure to Evaluate Transferability of Learned Representations Cuong V Nguyen Tal Hassner Matthias Seeger Cédric Archambeau 85 220 0 27 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 390 18,897 0 13 Feb 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence Kihyuk Sohn David Berthelot Chun-Liang Li Zizhao Zhang Nicholas Carlini E. D. Cubuk Alexey Kurakin Han Zhang Colin Raffel AAML 163 3,578 0 21 Jan 2020
Enhanced Convolutional Neural Tangent Kernels Zhiyuan Li Ruosong Wang Dingli Yu S. Du Wei Hu Ruslan Salakhutdinov Sanjeev Arora 68 133 0 03 Nov 2019
Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks Sanjeev Arora S. Du Zhiyuan Li Ruslan Salakhutdinov Ruosong Wang Dingli Yu AAML 78 162 0 03 Oct 2019
Transferability and Hardness of Supervised Classification Tasks Anh Tran Cuong V Nguyen Tal Hassner 177 168 0 21 Aug 2019
Putting An End to End-to-End: Gradient-Isolated Learning of Representations Sindy Löwe Peter O'Connor Bastiaan S. Veeling SSL 121 144 0 28 May 2019
On Exact Computation with an Infinitely Wide Neural Net Sanjeev Arora S. Du Wei Hu Zhiyuan Li Ruslan Salakhutdinov Ruosong Wang 241 928 0 26 Apr 2019
A Theoretical Analysis of Contrastive Unsupervised Representation Learning Sanjeev Arora H. Khandeparkar M. Khodak Orestis Plevrakis Nikunj Saunshi SSL 109 784 0 25 Feb 2019
Task2Vec: Task Embedding for Meta-Learning Alessandro Achille Michael Lam Rahul Tewari Avinash Ravichandran Subhransu Maji Charless C. Fowlkes Stefano Soatto Pietro Perona SSL 80 315 0 10 Feb 2019
Neural Tangent Kernel: Convergence and Generalization in Neural Networks Arthur Jacot Franck Gabriel Clément Hongler 275 3,223 0 20 Jun 2018
Wasserstein regularization for sparse multi-task regression H. Janati Marco Cuturi Alexandre Gramfort 140 50 0 20 May 2018
Taskonomy: Disentangling Task Transfer Learning Amir Zamir Alexander Sax Bokui (William) Shen Leonidas Guibas Jitendra Malik Silvio Savarese 126 1,222 0 23 Apr 2018
On Kernel Method-Based Connectionist Models and Supervised Deep Learning Without Backpropagation Shiyu Duan Shujian Yu Yunmei Chen José C. Príncipe 36 16 0 11 Feb 2018
Deep Neural Networks as Gaussian Processes Jaehoon Lee Yasaman Bahri Roman Novak S. Schoenholz Jeffrey Pennington Jascha Narain Sohl-Dickstein UQCV BDL 137 1,100 0 01 Nov 2017
Adversarial Multi-task Learning for Text Classification Pengfei Liu Xipeng Qiu Xuanjing Huang 140 612 0 19 Apr 2017
Modular Representation of Layered Neural Networks C. Watanabe Kaoru Hiramatsu K. Kashino AI4TS 64 56 0 01 Mar 2017
Deep Forest Zhi Zhou Ji Feng 99 1,014 0 28 Feb 2017
Decoupled Neural Interfaces using Synthetic Gradients Max Jaderberg Wojciech M. Czarnecki Simon Osindero Oriol Vinyals Alex Graves David Silver Koray Kavukcuoglu 90 358 0 18 Aug 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,510 0 10 Dec 2015
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 390 9,524 0 28 May 2015
Difference Target Propagation Dong-Hyun Lee Saizheng Zhang Asja Fischer Yoshua Bengio AAML 122 353 0 23 Dec 2014
Kickback cuts Backprop's red-tape: Biologically plausible credit assignment in neural networks David Balduzzi Hastagiri P. Vanchinathan J. M. Buhmann FAtt 81 71 0 23 Nov 2014
How Auto-Encoders Could Provide Credit Assignment in Deep Networks via Target Propagation Yoshua Bengio 121 185 0 29 Jul 2014
Convolutional Kernel Networks Julien Mairal Piotr Koniusz Zaïd Harchaoui Cordelia Schmid 113 380 0 12 Jun 2014
Distributed optimization of deeply nested systems M. A. Carreira-Perpiñán Weiran Wang 109 196 0 24 Dec 2012
The evolutionary origins of modularity Jeff Clune Jean-Baptiste Mouret Hod Lipson 111 583 0 11 Jul 2012