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A Language Anchor-Guided Method for Robust Noisy Domain Generalization

21 March 2025

Papers citing "A Language Anchor-Guided Method for Robust Noisy Domain Generalization"

50 / 51 papers shown

Title
Reducing Spurious Correlation for Federated Domain Generalization Shuran Ma Weiying Xie Daixun Li Haowei Li Yunsong Li OOD FedML 76 1 0 27 Jul 2024
Revisiting Spurious Correlation in Domain Generalization Bin Qin Jiangmeng Li Yi Li Xuesong Wu Yupeng Wang Jingyao Wang Jianwen Cao CML 78 1 0 17 Jun 2024
Evaluating the External and Parametric Knowledge Fusion of Large Language Models Hao Zhang Yuyang Zhang Xiaoguang Li Wenxuan Shi Haonan Xu ... Yasheng Wang Lifeng Shang Qun Liu Yong Liu Ruiming Tang KELM 81 5 0 29 May 2024
Knowledge-guided Machine Learning: Current Trends and Future Prospects Anuj Karpatne X. Jia Vipin Kumar 84 11 0 24 Mar 2024
Understanding Domain Generalization: A Noise Robustness Perspective Rui Qiao K. H. Low OOD 70 6 0 26 Jan 2024
Learning Generalizable Models via Disentangling Spurious and Enhancing Potential Correlations Na Wang Lei Qi Jintao Guo Yinghuan Shi Yang Gao OOD 86 4 0 11 Jan 2024
Towards Causal Deep Learning for Vulnerability Detection Md. Mahbubur Rahman Ira Ceka Chengzhi Mao Saikat Chakraborty Baishakhi Ray Wei Le 47 12 0 12 Oct 2023
Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks Hao Chen Jindong Wang Ankit Shah Ran Tao Hongxin Wei Berfin cSimcsek Masashi Sugiyama Bhiksha Raj 76 29 0 29 Sep 2023
TDG: Text-guided Domain Generalization Geng-Ming Liu Yuxi Wang OOD 76 2 0 19 Aug 2023
Discover and Cure: Concept-aware Mitigation of Spurious Correlation Shirley Wu Mert Yuksekgonul Linjun Zhang James Zou 135 62 0 01 May 2023
Target Conditioned Representation Independence (TCRI); From Domain-Invariant to Domain-General Representations Olawale Salaudeen Oluwasanmi Koyejo 65 3 0 21 Dec 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 102 171 0 27 Mar 2022
A Review of Some Techniques for Inclusion of Domain-Knowledge into Deep Neural Networks T. Dash Sharad Chitlangia Aditya Ahuja A. Srinivasan 63 133 0 21 Jul 2021
Domain Generalization: A Survey Kaiyang Zhou Ziwei Liu Yu Qiao Tao Xiang Chen Change Loy OOD AI4CE 246 1,018 0 03 Mar 2021
Augmentation Strategies for Learning with Noisy Labels Kento Nishi Yi Ding Alex Rich Tobias Höllerer NoLa 56 118 0 03 Mar 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization Jindong Wang Cuiling Lan Chang-Shu Liu Yidong Ouyang Tao Qin Wang Lu Yiqiang Chen Wenjun Zeng Philip S. Yu OOD 217 1,228 0 02 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 967 29,731 0 26 Feb 2021
Representation Learning via Invariant Causal Mechanisms Jovana Mitrović Brian McWilliams Jacob Walker Lars Buesing Charles Blundell CML OOD SSL 63 249 0 15 Oct 2020
Learning from Noisy Labels with Deep Neural Networks: A Survey Hwanjun Song Minseok Kim Dongmin Park Yooju Shin Jae-Gil Lee NoLa 111 987 0 16 Jul 2020
In Search of Lost Domain Generalization Ishaan Gulrajani David Lopez-Paz OOD 79 1,149 0 02 Jul 2020
Domain Adaptive Ensemble Learning Kaiyang Zhou Yongxin Yang Yu Qiao Tao Xiang OOD 199 280 0 16 Mar 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 307 938 0 02 Mar 2020
DivideMix: Learning with Noisy Labels as Semi-supervised Learning Junnan Li R. Socher Guosheng Lin NoLa 107 1,030 0 18 Feb 2020
SVIRO: Synthetic Vehicle Interior Rear Seat Occupancy Dataset and Benchmark S. Cruz Oliver Wasenmüller H. Beise Thomas Stifter D. Stricker 125 43 0 10 Jan 2020
Improve Unsupervised Domain Adaptation with Mixup Training Shen Yan Huan Song Nanxiang Li Lincan Zou Liu Ren 89 234 0 03 Jan 2020
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization Shiori Sagawa Pang Wei Koh Tatsunori B. Hashimoto Percy Liang OOD 108 1,243 0 20 Nov 2019
Domain Generalization via Model-Agnostic Learning of Semantic Features Qi Dou Daniel Coelho De Castro Konstantinos Kamnitsas Ben Glocker OOD 110 698 0 29 Oct 2019
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks Jiasen Lu Dhruv Batra Devi Parikh Stefan Lee SSL VLM 231 3,693 0 06 Aug 2019
Invariant Risk Minimization Martín Arjovsky Léon Bottou Ishaan Gulrajani David Lopez-Paz OOD 192 2,241 0 05 Jul 2019
Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems Laura von Rueden S. Mayer Katharina Beckh B. Georgiev Sven Giesselbach ... Rajkumar Ramamurthy Michal Walczak Jochen Garcke Christian Bauckhage Jannis Schuecker 77 641 0 29 Mar 2019
Domain Generalization by Solving Jigsaw Puzzles Fabio Maria Carlucci A. DÍnnocente S. Bucci Barbara Caputo Tatiana Tommasi SSL 69 814 0 16 Mar 2019
Moment Matching for Multi-Source Domain Adaptation Xingchao Peng Qinxun Bai Xide Xia Zijun Huang Kate Saenko Bo Wang OOD 137 1,809 0 04 Dec 2018
Domain Generalization with Domain-Specific Aggregation Modules A. DÍnnocente Barbara Caputo OOD 59 139 0 28 Sep 2018
Recognition in Terra Incognita Sara Beery Grant Van Horn Pietro Perona 92 851 0 13 Jul 2018
Generalizing to Unseen Domains via Adversarial Data Augmentation Riccardo Volpi Hongseok Namkoong Ozan Sener John C. Duchi Vittorio Murino Silvio Savarese OOD 119 784 0 30 May 2018
Generalizing Across Domains via Cross-Gradient Training Shiv Shankar Vihari Piratla Soumen Chakrabarti S. Chaudhuri Preethi Jyothi Sunita Sarawagi OOD 71 516 0 28 Apr 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 113 2,078 0 18 Apr 2018
Joint Optimization Framework for Learning with Noisy Labels Daiki Tanaka Daiki Ikami T. Yamasaki Kiyoharu Aizawa NoLa 74 712 0 30 Mar 2018
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels Lu Jiang Zhengyuan Zhou Thomas Leung Li Li Li Fei-Fei NoLa 104 1,456 0 14 Dec 2017
Learning Independent Causal Mechanisms Giambattista Parascandolo Niki Kilbertus Mateo Rojas-Carulla Bernhard Schölkopf CML OOD DRL 52 182 0 04 Dec 2017
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 280 9,797 0 25 Oct 2017
Learning to Generalize: Meta-Learning for Domain Generalization Da Li Yongxin Yang Yi-Zhe Song Timothy M. Hospedales OOD 102 1,426 0 10 Oct 2017
Deeper, Broader and Artier Domain Generalization Da Li Yongxin Yang Yi-Zhe Song Timothy M. Hospedales OOD 124 1,446 0 09 Oct 2017
Deep Hashing Network for Unsupervised Domain Adaptation Hemanth Venkateswara José Eusébio Shayok Chakraborty S. Panchanathan OOD 147 2,047 0 22 Jun 2017
Learning From Noisy Large-Scale Datasets With Minimal Supervision Andreas Veit N. Alldrin Gal Chechik Ivan Krasin Abhinav Gupta Serge J. Belongie 136 479 0 06 Jan 2017
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,322 0 10 Dec 2015
Domain Generalization for Object Recognition with Multi-task Autoencoders Muhammad Ghifary W. Kleijn Mengjie Zhang David Balduzzi ViT OOD 76 660 0 31 Aug 2015
Training Deep Neural Networks on Noisy Labels with Bootstrapping Scott E. Reed Honglak Lee Dragomir Anguelov Christian Szegedy D. Erhan Andrew Rabinovich NoLa 113 1,023 0 20 Dec 2014
From Captions to Visual Concepts and Back Hao Fang Saurabh Gupta F. Iandola R. Srivastava Li Deng ... Xiaodong He Margaret Mitchell John C. Platt C. L. Zitnick Geoffrey Zweig VLM 110 1,312 0 18 Nov 2014
Unsupervised Domain Adaptation by Backpropagation Yaroslav Ganin Victor Lempitsky OOD 233 6,030 0 26 Sep 2014