Order-preserving Consistency Regularization for Domain Adaptation and Generalization

23 September 2023

Papers citing "Order-preserving Consistency Regularization for Domain Adaptation and Generalization"

50 / 61 papers shown

Title
Variational Model Perturbation for Source-Free Domain Adaptation Mengmeng Jing Xiantong Zhen Jingjing Li Cees G. M. Snoek 63 26 0 19 Oct 2022
A Closer Look at Smoothness in Domain Adversarial Training Harsh Rangwani Sumukh K Aithal Mayank Mishra Arihant Jain R. Venkatesh Babu 78 121 0 16 Jun 2022
Contrastive Test-Time Adaptation Dian Chen Dequan Wang Trevor Darrell Sayna Ebrahimi TTA 35 261 0 21 Apr 2022
Causality Inspired Representation Learning for Domain Generalization Fangrui Lv Jian Liang Shuang Li Bin Zang Chi Harold Liu Ziteng Wang Di Liu CML OOD 51 168 0 27 Mar 2022
Continual Test-Time Domain Adaptation Qin Wang Olga Fink Luc Van Gool Dengxin Dai OOD TTA 79 412 0 25 Mar 2022
Learning to Generalize across Domains on Single Test Samples Zehao Xiao Xiantong Zhen Ling Shao Cees G. M. Snoek OOD 37 31 0 16 Feb 2022
A Fine-Grained Analysis on Distribution Shift Olivia Wiles Sven Gowal Florian Stimberg Sylvestre-Alvise Rebuffi Ira Ktena Krishnamurthy Dvijotham A. Cemgil OOD 274 211 0 21 Oct 2021
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation Shiqi Yang Yaxing Wang Joost van de Weijer Luis Herranz Shangling Jui TTA 88 244 0 08 Oct 2021
Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data Jiaxing Huang Dayan Guan Aoran Xiao Shijian Lu 182 218 0 07 Oct 2021
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data Ashraful Islam Chun-Fu Chen Yikang Shen Leonid Karlinsky Rogerio Feris Richard J. Radke 78 84 0 14 Jun 2021
Invariant Information Bottleneck for Domain Generalization Yue Liu Yifei Shen Yezhen Wang Wenzhen Zhu Colorado Reed Jun Zhang Dongsheng Li Kurt Keutzer Han Zhao OOD 48 112 0 11 Jun 2021
Spectral Unsupervised Domain Adaptation for Visual Recognition Jingyi Zhang Jiaxing Huang Zichen Tian Shijian Lu 40 67 0 11 Jun 2021
SelfReg: Self-supervised Contrastive Regularization for Domain Generalization Daehee Kim Seunghyun Park Jinkyu Kim Jaekoo Lee OOD SSL 104 266 0 20 Apr 2021
Domain Generalization with MixStyle Kaiyang Zhou Yongxin Yang Yu Qiao Tao Xiang 99 753 0 05 Apr 2021
RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening Sungha Choi Sanghun Jung Huiwon Yun J. Kim Seungryong Kim Jaegul Choo 78 280 0 29 Mar 2021
Domain Adaptation for Medical Image Analysis: A Survey Hao Guan Mingxia Liu OOD 59 540 0 18 Feb 2021
SWAD: Domain Generalization by Seeking Flat Minima Junbum Cha Sanghyuk Chun Kyungjae Lee Han-Cheol Cho Seunghyun Park Yunsung Lee Sungrae Park MoMe 259 438 0 17 Feb 2021
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer Jian Liang Dapeng Hu Yunbo Wang Ran He Jiashi Feng 173 253 0 14 Dec 2020
Exploring Simple Siamese Representation Learning Xinlei Chen Kaiming He SSL 151 3,992 0 20 Nov 2020
Learning to Generate Novel Domains for Domain Generalization Kaiyang Zhou Yongxin Yang Timothy M. Hospedales Tao Xiang OOD 84 450 0 07 Jul 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 235 6,718 0 13 Jun 2020
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation Jian Liang Dapeng Hu Jiashi Feng 59 1,225 0 20 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 146 18,523 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 120 3,508 0 21 Jan 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 113 42,038 0 03 Dec 2019
A Fourier Perspective on Model Robustness in Computer Vision Dong Yin Raphael Gontijo-Lopes Jonathon Shlens E. D. Cubuk Justin Gilmer OOD 48 494 0 21 Jun 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 553 4,735 0 13 May 2019
MixMatch: A Holistic Approach to Semi-Supervised Learning David Berthelot Nicholas Carlini Ian Goodfellow Nicolas Papernot Avital Oliver Colin Raffel 114 3,009 0 06 May 2019
Unsupervised Data Augmentation for Consistency Training Qizhe Xie Zihang Dai Eduard H. Hovy Minh-Thang Luong Quoc V. Le 88 2,306 0 29 Apr 2019
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations Dan Hendrycks Thomas G. Dietterich OOD VLM 72 3,399 0 28 Mar 2019
Domain Generalization by Solving Jigsaw Puzzles Fabio Maria Carlucci A. DÍnnocente S. Bucci Barbara Caputo Tatiana Tommasi SSL 52 810 0 16 Mar 2019
DLOW: Domain Flow for Adaptation and Generalization R. Gong Wen Li Yuhua Chen Luc Van Gool OOD AI4CE 58 351 0 13 Dec 2018
DropBlock: A regularization method for convolutional networks Golnaz Ghiasi Nayeon Lee Quoc V. Le 79 911 0 30 Oct 2018
Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net Xingang Pan Ping Luo Jianping Shi Xiaoou Tang OOD 40 758 0 25 Jul 2018
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning Feng Yu Haofeng Chen Xin Wang Wenqi Xian Yingying Chen Fangchen Liu Vashisht Madhavan Trevor Darrell VLM 96 2,112 0 12 May 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation Liang-Chieh Chen Yukun Zhu George Papandreou Florian Schroff Hartwig Adam SSeg 87 13,005 0 07 Feb 2018
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation Kuniaki Saito Kohei Watanabe Yoshitaka Ushiku Tatsuya Harada 57 1,781 0 07 Dec 2017
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 212 9,687 0 25 Oct 2017
Deeper, Broader and Artier Domain Generalization Da Li Yongxin Yang Yi-Zhe Song Timothy M. Hospedales OOD 79 1,427 0 09 Oct 2017
Unified Deep Supervised Domain Adaptation and Generalization Saeid Motiian Marco Piccirilli Donald Adjeroh Gianfranco Doretto OOD 66 782 0 28 Sep 2017
Semantic Foggy Scene Understanding with Synthetic Data Daniel Gehrig Dengxin Dai Luc Van Gool 65 1,094 0 25 Aug 2017
Improved Regularization of Convolutional Neural Networks with Cutout Terrance Devries Graham W. Taylor 63 3,739 0 15 Aug 2017
Deep Hashing Network for Unsupervised Domain Adaptation Hemanth Venkateswara José Eusébio Shayok Chakraborty S. Panchanathan OOD 78 2,023 0 22 Jun 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 188 11,962 0 19 Jun 2017
Emergence of Invariance and Disentanglement in Deep Representations Alessandro Achille Stefano Soatto OOD DRL 55 473 0 05 Jun 2017
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning Takeru Miyato S. Maeda Masanori Koyama S. Ishii GAN 102 2,724 0 13 Apr 2017
Adversarial Discriminative Domain Adaptation Eric Tzeng Judy Hoffman Kate Saenko Trevor Darrell GAN OOD 158 4,638 0 17 Feb 2017
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 437 3,124 0 04 Nov 2016
Temporal Ensembling for Semi-Supervised Learning S. Laine Timo Aila UQCV 147 2,543 0 07 Oct 2016
Playing for Data: Ground Truth from Computer Games Stephan R. Richter Vibhav Vineet Stefan Roth V. Koltun VLM 90 1,998 0 07 Aug 2016