Understanding Self-Training for Gradual Domain Adaptation

26 February 2020

Papers citing "Understanding Self-Training for Gradual Domain Adaptation"

50 / 132 papers shown

Title
Robust Test-Time Adaptation in Dynamic Scenarios Longhui Yuan Binhui Xie Shuangliang Li TTA 27 109 0 24 Mar 2023
Unbiased Multiple Instance Learning for Weakly Supervised Video Anomaly Detection Hui Lv Zhongqi Yue Qianru Sun Bin Luo Zhen Cui Hanwang Zhang WSOD 19 64 0 22 Mar 2023
Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Regularized Self-Training Yongyi Su Xun Xu Tianrui Li K. Jia OOD TTA 32 14 0 20 Mar 2023
Data Selection for Language Models via Importance Resampling Sang Michael Xie Shibani Santurkar Tengyu Ma Percy Liang 30 170 0 06 Feb 2023
RLSbench: Domain Adaptation Under Relaxed Label Shift Saurabh Garg Nick Erickson James Sharpnack Alexander J. Smola Sivaraman Balakrishnan Zachary Chase Lipton VLM 28 31 0 06 Feb 2023
Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation Zihao Xu Guang-Yuan Hao Hao He Hao Wang 30 18 0 06 Feb 2023
Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-stationary Environment Qiuhao Zeng W. Wang Fan Zhou Charles X. Ling Boyu Wang OOD ViT 17 15 0 19 Jan 2023
Robust Mean Teacher for Continual and Gradual Test-Time Adaptation Mario Döbler Robert A. Marsden Bin Yang OOD TTA 19 81 0 23 Nov 2022
On the Domain Adaptation and Generalization of Pretrained Language Models: A Survey Xu Guo Han Yu LM&MA VLM 23 29 0 06 Nov 2022
Learning to Infer from Unlabeled Data: A Semi-supervised Learning Approach for Robust Natural Language Inference Mobashir Sadat Cornelia Caragea 13 2 0 05 Nov 2022
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation Peide Huang Mengdi Xu Jiacheng Zhu Laixi Shi Fei Fang Ding Zhao CLL 33 24 0 18 Oct 2022
Towards Understanding GD with Hard and Conjugate Pseudo-labels for Test-Time Adaptation Jun-Kun Wang Andre Wibisono 27 7 0 18 Oct 2022
Focused Adaptation of Dynamics Models for Deformable Object Manipulation Peter Mitrano A. LaGrassa Oliver Kroemer Dmitry Berenson AI4CE 29 11 0 28 Sep 2022
Data Feedback Loops: Model-driven Amplification of Dataset Biases Rohan Taori Tatsunori B. Hashimoto 64 43 0 08 Sep 2022
Autonomous Cross Domain Adaptation under Extreme Label Scarcity Weiwei Weng Mahardhika Pratama Choiru Za’in Marcus Vinícius de Carvalho Appan Rakaraddi Andri Ashfahani E. Yapp 11 7 0 04 Sep 2022
Future Gradient Descent for Adapting the Temporal Shifting Data Distribution in Online Recommendation Systems Mao Ye Ruichen Jiang Haoxiang Wang Dhruv Choudhary Xiaocong Du Bhargav Bhushanam Aryan Mokhtari A. Kejariwal Qiang Liu TTA OOD AI4TS 34 8 0 02 Sep 2022
Data Isotopes for Data Provenance in DNNs Emily Wenger Xiuyu Li Ben Y. Zhao Vitaly Shmatikov 16 12 0 29 Aug 2022
Introducing Intermediate Domains for Effective Self-Training during Test-Time Robert A. Marsden Mario Döbler Bin Yang TTA OOD 27 8 0 16 Aug 2022
Test-Time Adaptation via Conjugate Pseudo-labels Sachin Goyal Mingjie Sun Aditi Raghunathan Zico Kolter OOD 20 95 0 20 Jul 2022
Gradual Domain Adaptation without Indexed Intermediate Domains Hong-You Chen Wei-Lun Chao CLL 51 39 0 11 Jul 2022
Dual-Correction Adaptation Network for Noisy Knowledge Transfer Yunyun Wang Weiwen Zheng Songcan Chen 9 1 0 10 Jul 2022
Back to the Source: Diffusion-Driven Test-Time Adaptation Jin Gao Jialing Zhang Xihui Liu Trevor Darrell Evan Shelhamer Dequan Wang TTA 11 50 0 07 Jul 2022
A Unified Meta-Learning Framework for Dynamic Transfer Learning Jun Wu Jingrui He CLL 27 7 0 05 Jul 2022
Transferring Fairness under Distribution Shifts via Fair Consistency Regularization Bang An Zora Che Mucong Ding Furong Huang 14 31 0 26 Jun 2022
A Multi-stage Framework with Mean Subspace Computation and Recursive Feedback for Online Unsupervised Domain Adaptation Ji-Sun Moon Debasmit Das C. S. George Lee 25 6 0 24 Jun 2022
Gradual Domain Adaptation via Normalizing Flows Shogo Sagawa H. Hino CLL OOD 22 9 0 23 Jun 2022
Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation Joonho Jang Byeonghu Na DongHyeok Shin Mingi Ji Kyungwoo Song Il-Chul Moon 17 34 0 15 Jun 2022
Test-Time Adaptation for Visual Document Understanding Sayna Ebrahimi Sercan Ö. Arik Tomas Pfister OOD 31 6 0 15 Jun 2022
On the Permanence of Backdoors in Evolving Models Huiying Li A. Bhagoji Yuxin Chen Haitao Zheng Ben Y. Zhao AAML 18 2 0 08 Jun 2022
Evolving Domain Generalization Wei Wang Gezheng Xu Ruizhi Pu Jiaqi Li Fan Zhou Changjian Shui Charles X. Ling Christian Gagné Boyu Wang OOD 27 3 0 31 May 2022
Understanding new tasks through the lens of training data via exponential tilting Subha Maity Mikhail Yurochkin Moulinath Banerjee Yuekai Sun 29 10 0 26 May 2022
Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder Tiexin Qin Shiqi Wang Haoliang Li CML BDL 10 22 0 16 May 2022
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning Yidong Wang Hao Chen Qiang Heng Wenxin Hou Yue Fan ... Marios Savvides T. Shinozaki Bhiksha Raj Bernt Schiele Xing Xie 185 258 0 15 May 2022
Modular Domain Adaptation Junshen K. Chen Dallas Card Dan Jurafsky 17 1 0 26 Apr 2022
Algorithms and Theory for Supervised Gradual Domain Adaptation Jing Dong Shiji Zhou Baoxiang Wang H. Zhao OOD 21 7 0 25 Apr 2022
Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond Haoxiang Wang Bo-wen Li Han Zhao OOD CLL 17 37 0 18 Apr 2022
Beyond Separability: Analyzing the Linear Transferability of Contrastive Representations to Related Subpopulations Jeff Z. HaoChen Colin Wei Ananya Kumar Tengyu Ma 25 37 0 06 Apr 2022
Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation Kendrick Shen Robbie Jones Ananya Kumar Sang Michael Xie Jeff Z. HaoChen Tengyu Ma Percy Liang SSL 26 85 0 01 Apr 2022
SuperAnimal pretrained pose estimation models for behavioral analysis Shaokai Ye Anastasiia Filippova Jessy Lauer Steffen Schneider Maxime Vidal Tian Qiu Alexander Mathis Mackenzie W. Mathis 28 26 0 14 Mar 2022
Self-Training: A Survey Massih-Reza Amini Vasilii Feofanov Loïc Pauletto Lies Hadjadj Emilie Devijver Yury Maximov SSL 26 102 0 24 Feb 2022
Cost-effective Framework for Gradual Domain Adaptation with Multifidelity Shogo Sagawa H. Hino CLL 27 6 0 09 Feb 2022
LST: Lexicon-Guided Self-Training for Few-Shot Text Classification Hazel Kim Jaeman Son Yo-Sub Han 11 3 0 05 Feb 2022
Semi-supervised 3D Object Detection via Temporal Graph Neural Networks Jianren Wang Haiming Gang Siddarth Ancha Yi-Ting Chen David Held 3DPC 46 11 0 01 Feb 2022
Encoding Hierarchical Information in Neural Networks helps in Subpopulation Shift Amitangshu Mukherjee Isha Garg Kaushik Roy 6 5 0 20 Dec 2021
Rethinking Importance Weighting for Transfer Learning Nan Lu Tianyi Zhang Tongtong Fang Takeshi Teshima Masashi Sugiyama 30 11 0 19 Dec 2021
Editing a classifier by rewriting its prediction rules Shibani Santurkar Dimitris Tsipras Mahalaxmi Elango David Bau Antonio Torralba A. Madry KELM 175 89 0 02 Dec 2021
RADU: Ray-Aligned Depth Update Convolutions for ToF Data Denoising Michael Schelling Pedro Hermosilla Timo Ropinski 3DPC 17 11 0 30 Nov 2021
Combining Diverse Feature Priors Saachi Jain Dimitris Tsipras A. Madry 56 14 0 15 Oct 2021
Assessing Machine Learning Approaches to Address IoT Sensor Drift Haining Zheng António R. C. Paiva 12 0 0 02 Sep 2021
A Framework for Supervised Heterogeneous Transfer Learning using Dynamic Distribution Adaptation and Manifold Regularization Md. Geaur Rahman M. Islam 23 1 0 27 Aug 2021