Hypothesis Disparity Regularized Mutual Information Maximization

15 December 2020

Papers citing "Hypothesis Disparity Regularized Mutual Information Maximization"

34 / 34 papers shown

Title
Proxy Denoising for Source-Free Domain Adaptation Song Tang Wenxin Su Mao Ye Jianwei Zhang Xiatian Zhu Xiatian Zhu 119 1 0 03 Jun 2024
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation Jian Liang Dapeng Hu Jiashi Feng 93 1,238 0 20 Feb 2020
Deep Ensembles: A Loss Landscape Perspective Stanislav Fort Huiyi Hu Balaji Lakshminarayanan OOD UQCV 101 627 0 05 Dec 2019
A Comprehensive Survey on Transfer Learning Fuzhen Zhuang Zhiyuan Qi Keyu Duan Dongbo Xi Yongchun Zhu Hengshu Zhu Hui Xiong Qing He 175 4,428 0 07 Nov 2019
Contrastive Multiview Coding Yonglong Tian Dilip Krishnan Phillip Isola SSL 151 2,395 0 13 Jun 2019
Learning Representations by Maximizing Mutual Information Across Views Philip Bachman R. Devon Hjelm William Buchwalter SSL 187 1,467 0 03 Jun 2019
Semi-supervised Domain Adaptation via Minimax Entropy Kuniaki Saito Donghyun Kim Stan Sclaroff Trevor Darrell Kate Saenko 68 620 0 13 Apr 2019
Bridging Theory and Algorithm for Domain Adaptation Yuchen Zhang Tianle Liu Mingsheng Long Michael I. Jordan 73 710 0 11 Apr 2019
Cluster Alignment with a Teacher for Unsupervised Domain Adaptation Zhijie Deng Yucen Luo Jun Zhu OOD 63 217 0 24 Mar 2019
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation Chen-Yu Lee Tanmay Batra M. H. Baig Daniel Ulbricht 119 541 0 10 Mar 2019
Moment Matching for Multi-Source Domain Adaptation Xingchao Peng Qinxun Bai Xide Xia Zijun Huang Kate Saenko Bo Wang OOD 128 1,788 0 04 Dec 2018
Co-regularized Alignment for Unsupervised Domain Adaptation Abhishek Kumar P. Sattigeri Kahini Wadhawan Leonid Karlinsky Rogerio Feris William T. Freeman G. Wornell OOD 51 158 0 13 Nov 2018
Learning deep representations by mutual information estimation and maximization R. Devon Hjelm A. Fedorov Samuel Lavoie-Marchildon Karan Grewal Phil Bachman Adam Trischler Yoshua Bengio SSL DRL 286 2,661 0 20 Aug 2018
Representation Learning with Contrastive Predictive Coding Aaron van den Oord Yazhe Li Oriol Vinyals DRL SSL 282 10,253 0 10 Jul 2018
A DIRT-T Approach to Unsupervised Domain Adaptation Rui Shu Hung Bui Hirokazu Narui Stefano Ermon 72 621 0 23 Feb 2018
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation Kuniaki Saito Kohei Watanabe Yoshitaka Ushiku Tatsuya Harada 92 1,786 0 07 Dec 2017
Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation Pietro Morerio Jacopo Cavazza Vittorio Murino OOD 67 157 0 28 Nov 2017
CyCADA: Cycle-Consistent Adversarial Domain Adaptation Judy Hoffman Eric Tzeng Taesung Park Jun-Yan Zhu Phillip Isola Kate Saenko Alexei A. Efros Trevor Darrell 134 3,000 0 08 Nov 2017
Adversarial Dropout Regularization Kuniaki Saito Yoshitaka Ushiku Tatsuya Harada Kate Saenko GAN 69 284 0 05 Nov 2017
Deep Hashing Network for Unsupervised Domain Adaptation Hemanth Venkateswara José Eusébio Shayok Chakraborty S. Panchanathan OOD 129 2,039 0 22 Jun 2017
An Overview of Multi-Task Learning in Deep Neural Networks Sebastian Ruder CVBM 120 2,826 0 15 Jun 2017
Ensemble Adversarial Training: Attacks and Defenses Florian Tramèr Alexey Kurakin Nicolas Papernot Ian Goodfellow Dan Boneh Patrick McDaniel AAML 177 2,720 0 19 May 2017
Generate To Adapt: Aligning Domains using Generative Adversarial Networks S. Sankaranarayanan Yogesh Balaji Carlos D. Castillo Rama Chellappa GAN OOD 103 651 0 06 Apr 2017
Learning Discrete Representations via Information Maximizing Self-Augmented Training Weihua Hu Takeru Miyato Seiya Tokui Eiichi Matsumoto Masashi Sugiyama 76 449 0 28 Feb 2017
Adversarial Discriminative Domain Adaptation Eric Tzeng Judy Hoffman Kate Saenko Trevor Darrell GAN OOD 257 4,653 0 17 Feb 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 656 5,798 0 05 Dec 2016
Hypothesis Transfer Learning via Transformation Functions S. Du Jayanth Koushik Aarti Singh Barnabás Póczós 51 58 0 03 Dec 2016
Deep Transfer Learning with Joint Adaptation Networks Mingsheng Long Hanhua Zhu Jianmin Wang Michael I. Jordan TTA 88 2,455 0 21 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.9K 193,426 0 10 Dec 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 642 9,290 0 06 Jun 2015
Learning Transferable Features with Deep Adaptation Networks Mingsheng Long Yue Cao Jianmin Wang Michael I. Jordan OOD 215 5,189 0 10 Feb 2015
Fast Rates by Transferring from Auxiliary Hypotheses Ilja Kuzborskij Francesco Orabona 52 64 0 04 Dec 2014
Unsupervised Domain Adaptation by Backpropagation Yaroslav Ganin Victor Lempitsky OOD 231 6,012 0 26 Sep 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.4K 39,472 0 01 Sep 2014