Learning from a Complementary-label Source Domain: Theory and Algorithms

4 August 2020

Papers citing "Learning from a Complementary-label Source Domain: Theory and Algorithms"

38 / 38 papers shown

Title
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 298 30,150 0 01 Mar 2022
How does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches? Zhong Li Zhen Fang Feng Liu Jie Lu Bo Yuan Guangquan Zhang 66 55 0 30 Dec 2020
Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation Yiyang Zhang Feng Liu Zhen Fang Bo Yuan Guangquan Zhang Jie Lu 61 31 0 29 Jul 2020
Learning Deep Kernels for Non-Parametric Two-Sample Tests Feng Liu Wenkai Xu Jie Lu Guangquan Zhang Arthur Gretton Danica J. Sutherland 55 187 0 21 Feb 2020
Learning with Multiple Complementary Labels Lei Feng Takuo Kaneko Bo Han Gang Niu Bo An Masashi Sugiyama 75 98 0 30 Dec 2019
Open Set Domain Adaptation: Theoretical Bound and Algorithm Zhen Fang Jie Lu Feng Liu Junyu Xuan Guangquan Zhang 50 154 0 19 Jul 2019
Butterfly: One-step Approach towards Wildly Unsupervised Domain Adaptation Feng Liu Jie Lu Bo Han Gang Niu Guangquan Zhang Masashi Sugiyama 27 23 0 19 May 2019
MixMatch: A Holistic Approach to Semi-Supervised Learning David Berthelot Nicholas Carlini Ian Goodfellow Nicolas Papernot Avital Oliver Colin Raffel 156 3,033 0 06 May 2019
Bridging Theory and Algorithm for Domain Adaptation Yuchen Zhang Tianle Liu Mingsheng Long Michael I. Jordan 85 713 0 11 Apr 2019
Transferring Knowledge Fragments for Learning Distance Metric from A Heterogeneous Domain Yong Luo Yonggang Wen Tongliang Liu Dacheng Tao 58 78 0 08 Apr 2019
Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation Shanshan Zhao Huan Fu Biwei Huang Dacheng Tao MDE 73 174 0 03 Apr 2019
Cluster Alignment with a Teacher for Unsupervised Domain Adaptation Zhijie Deng Yucen Luo Jun Zhu OOD 73 217 0 24 Mar 2019
Complementary-Label Learning for Arbitrary Losses and Models Takashi Ishida Gang Niu A. Menon Masashi Sugiyama VLM 56 113 0 10 Oct 2018
Masking: A New Perspective of Noisy Supervision Bo Han Jiangchao Yao Gang Niu Mingyuan Zhou Ivor Tsang Ya Zhang Masashi Sugiyama NoLa 78 255 0 21 May 2018
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels Bo Han Quanming Yao Xingrui Yu Gang Niu Miao Xu Weihua Hu Ivor Tsang Masashi Sugiyama NoLa 120 2,078 0 18 Apr 2018
A DIRT-T Approach to Unsupervised Domain Adaptation Rui Shu Hung Bui Hirokazu Narui Stefano Ermon 75 625 0 23 Feb 2018
Learning with Biased Complementary Labels Xiyu Yu Tongliang Liu Biwei Huang Dacheng Tao 59 198 0 27 Nov 2017
CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise Kuang-Huei Lee Xiaodong He Lei Zhang Linjun Yang NoLa 76 458 0 20 Nov 2017
Unified Deep Supervised Domain Adaptation and Generalization Saeid Motiian Marco Piccirilli Donald Adjeroh Gianfranco Doretto OOD 96 791 0 28 Sep 2017
Learning from Complementary Labels Takashi Ishida Gang Niu Weihua Hu Masashi Sugiyama 53 168 0 22 May 2017
Generate To Adapt: Aligning Domains using Generative Adversarial Networks S. Sankaranarayanan Yogesh Balaji Carlos D. Castillo Rama Chellappa GAN OOD 119 651 0 06 Apr 2017
Positive-Unlabeled Learning with Non-Negative Risk Estimator Ryuichi Kiryo Gang Niu M. C. D. Plessis Masashi Sugiyama 71 478 0 02 Mar 2017
Generalization and Equilibrium in Generative Adversarial Nets (GANs) Sanjeev Arora Rong Ge Yingyu Liang Tengyu Ma Yi Zhang GAN 54 690 0 02 Mar 2017
Asymmetric Tri-training for Unsupervised Domain Adaptation Kuniaki Saito Yoshitaka Ushiku Tatsuya Harada 115 587 0 27 Feb 2017
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks Konstantinos Bousmalis N. Silberman David Dohan D. Erhan Dilip Krishnan OOD GAN 161 1,537 0 16 Dec 2016
Conditional Image Synthesis With Auxiliary Classifier GANs Augustus Odena C. Olah Jonathon Shlens GAN 438 3,215 0 30 Oct 2016
Deep Transfer Learning with Joint Adaptation Networks Mingsheng Long Hanhua Zhu Jianmin Wang Michael I. Jordan TTA 96 2,460 0 21 May 2016
Theoretical Comparisons of Positive-Unlabeled Learning against Positive-Negative Learning Gang Niu M. C. D. Plessis Tomoya Sakai Yao Ma Masashi Sugiyama 69 128 0 10 Mar 2016
Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization Muhammad Ghifary David Balduzzi W. Kleijn Mengjie Zhang 79 438 0 15 Oct 2015
Simultaneous Deep Transfer Across Domains and Tasks Eric Tzeng Judy Hoffman Trevor Darrell Kate Saenko OOD 85 1,373 0 08 Oct 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 9,515 0 28 May 2015
Learning Transferable Features with Deep Adaptation Networks Mingsheng Long Yue Cao Jianmin Wang Michael I. Jordan OOD 223 5,211 0 10 Feb 2015
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 234 8,348 0 06 Nov 2014
Conditional Generative Adversarial Nets M. Berk Mirza Simon Osindero GAN SyDa AI4CE 262 10,425 0 06 Nov 2014
Unsupervised Domain Adaptation by Backpropagation Yaroslav Ganin Victor Lempitsky OOD 235 6,041 0 26 Sep 2014
LSDA: Large Scale Detection Through Adaptation Judy Hoffman S. Guadarrama Eric Tzeng Ronghang Hu Jeff Donahue Ross B. Girshick Trevor Darrell Kate Saenko ObjD 100 334 0 18 Jul 2014
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 276 12,458 0 24 Jun 2012
Natural Language Processing (almost) from Scratch R. Collobert Jason Weston Léon Bottou Michael Karlen Koray Kavukcuoglu Pavel P. Kuksa 203 7,728 0 02 Mar 2011