Adaptive Risk Minimization: Learning to Adapt to Domain Shift

6 July 2020

Abhishek Gupta

Papers citing "Adaptive Risk Minimization: Learning to Adapt to Domain Shift"

50 / 54 papers shown

Title
Domain Generalization via Discrete Codebook Learning Shaocong Long Qianyu Zhou Xikun Jiang Chenhao Ying Lizhuang Ma Yuan Luo 49 1 0 09 Apr 2025
Low Saturation Confidence Distribution-based Test-Time Adaptation for Cross-Domain Remote Sensing Image Classification Yu Liang Shilei Cao Juepeng Zheng Jianxi Huang Haohuan Fu Haohuan Fu TTA 63 0 0 29 Aug 2024
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation Cheems Wang Yiqin Lv Yixiu Mao Yun Qu Yi Tian Xu Xiangyang Ji OOD TTA 100 7 0 28 Jul 2024
GM-DF: Generalized Multi-Scenario Deepfake Detection Yingxin Lai Zitong Yu Jing Yang Bin Li Xiangui Kang Linlin Shen 97 9 0 28 Jun 2024
Fine-Grained Domain Generalization with Feature Structuralization Wenlong Yu Dongyue Chen Qilong Wang Qinghua Hu 46 0 0 13 Jun 2024
Feature contamination: Neural networks learn uncorrelated features and fail to generalize Tianren Zhang Chujie Zhao Guanyu Chen Yizhou Jiang Feng Chen OOD MLT OODD 106 3 0 05 Jun 2024
Learning Invariant Causal Mechanism from Vision-Language Models Changwen Zheng Siyu Zhao Xingyu Zhang Jiangmeng Li Changwen Zheng Jingyao Wang CML BDL VLM 52 0 0 24 May 2024
Causally Inspired Regularization Enables Domain General Representations Olawale Salaudeen Oluwasanmi Koyejo OOD CML 30 2 0 25 Apr 2024
Preserving Silent Features for Domain Generalization Chujie Zhao Tianren Zhang Feng Chen 45 0 0 06 Jan 2024
Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization Yanan Wu Zhixiang Chi Yang Wang Konstantinos N. Plataniotis Songhe Feng OOD 34 19 0 15 Dec 2023
Domain Generalization in Computational Pathology: Survey and Guidelines Mostafa Jahanifar M. Raza Kesi Xu T. Vuong R. Jewsbury ... Neda Zamanitajeddin Jin Tae Kwak S. Raza F. Minhas Nasir M. Rajpoot OOD 45 17 0 30 Oct 2023
Multimodal Federated Learning in Healthcare: a Review Jacob Thrasher Alina Devkota Prasiddha Siwakotai Rohit Chivukula Pranav Poudel Chaunbo Hu Binod Bhattarai P. Gyawali 35 8 0 14 Oct 2023
Robustness May be More Brittle than We Think under Different Degrees of Distribution Shifts Kaican Li Yifan Zhang Lanqing Hong Zhenguo Li Nevin L. Zhang OOD 64 0 0 10 Oct 2023
Diverse Target and Contribution Scheduling for Domain Generalization Shaocong Long Qianyu Zhou Soham Dan Lizhuang Ma Yuan Luo 62 8 0 28 Sep 2023
INSURE: An Information Theory Inspired Disentanglement and Purification Model for Domain Generalization Xi Yu Huan-Hsin Tseng Shinjae Yoo Haibin Ling Yuewei Lin OOD 55 10 0 08 Sep 2023
UPFL: Unsupervised Personalized Federated Learning towards New Clients Tiandi Ye Cen Chen Yinggui Wang Xiang Li Ming Gao FedML 37 4 0 29 Jul 2023
Feed-Forward Source-Free Domain Adaptation via Class Prototypes Ondrej Bohdal Da Li Timothy M. Hospedales VLM TTA CLL 26 3 0 20 Jul 2023
Advances and Challenges in Meta-Learning: A Technical Review Anna Vettoruzzo Mohamed-Rafik Bouguelia Joaquin Vanschoren Thorsteinn Rögnvaldsson K. Santosh OffRL 62 71 0 10 Jul 2023
Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization Ramnath Kumar Kushal Majmundar Dheeraj M. Nagaraj A. Suggala ODL 37 6 0 15 Jun 2023
POEM: Polarization of Embeddings for Domain-Invariant Representations Sang-Yeong Jo Sung Whan Yoon 26 10 0 22 May 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu 40 4 0 13 May 2023
Fairness in AI and Its Long-Term Implications on Society Ondrej Bohdal Timothy M. Hospedales Philip Torr Fazl Barez 44 4 0 16 Apr 2023
ERM++: An Improved Baseline for Domain Generalization Piotr Teterwak Kuniaki Saito Theodoros Tsiligkaridis Kate Saenko Bryan A. Plummer OOD 51 9 0 04 Apr 2023
CNNs with Multi-Level Attention for Domain Generalization Aristotelis Ballas Christos Diou OOD 55 6 0 02 Apr 2023
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts Jian Liang Ran He Tien-Ping Tan OOD VLM TTA 62 219 0 27 Mar 2023
TempT: Temporal consistency for Test-time adaptation O. Mutlu Mohammadmahdi Honarmand Saimourya Surabhi Dennis Paul Wall 40 6 0 19 Mar 2023
Decompose, Adjust, Compose: Effective Normalization by Playing with Frequency for Domain Generalization Sangrok Lee Jongseong Bae Ha Young Kim OOD 51 26 0 04 Mar 2023
Learning to Adapt to Online Streams with Distribution Shifts Chenyan Wu Yimu Pan Yandong Li James Z. Wang TTA 35 3 0 02 Mar 2023
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks Samyak Jain Sravanti Addepalli P. Sahu Priyam Dey R. Venkatesh Babu MoMe OOD 61 20 0 28 Feb 2023
Project and Probe: Sample-Efficient Domain Adaptation by Interpolating Orthogonal Features Annie S. Chen Yoonho Lee Amrith Rajagopal Setlur Sergey Levine Chelsea Finn VLM 40 9 0 10 Feb 2023
Aggregation of Disentanglement: Reconsidering Domain Variations in Domain Generalization Daoan Zhang Mingkai Chen Chenming Li Lingyun Huang Jianguo Zhang OOD 40 9 0 05 Feb 2023
Free Lunch for Domain Adversarial Training: Environment Label Smoothing Yifan Zhang Xue Wang Jian Liang Zhang Zhang Liangsheng Wang Rong Jin Tien-Ping Tan 54 40 0 01 Feb 2023
Target Conditioned Representation Independence (TCRI); From Domain-Invariant to Domain-General Representations Olawale Salaudeen Oluwasanmi Koyejo 37 3 0 21 Dec 2022
On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization Shiji Xin Yifei Wang Jingtong Su Yisen Wang OOD 33 7 0 18 Dec 2022
Context-Adaptive Deep Neural Networks via Bridge-Mode Connectivity Nathan G. Drenkow Alvin Tan C. Ashcraft Kiran Karra 23 0 0 28 Nov 2022
HMOE: Hypernetwork-based Mixture of Experts for Domain Generalization Jingang Qu T. Faney Zehao Wang Patrick Gallinari Soleiman Yousef J. D. Hemptinne OOD 56 7 0 15 Nov 2022
Towards Generalization on Real Domain for Single Image Dehazing via Meta-Learning Wenqi Ren Qiyu Sun Chaoqiang Zhao Yang Tang 41 3 0 14 Nov 2022
A Survey on Causal Representation Learning and Future Work for Medical Image Analysis Chang-Tien Lu OOD BDL CML MedIm 40 0 0 28 Oct 2022
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts Yoonho Lee Annie S. Chen Fahim Tajwar Ananya Kumar Huaxiu Yao Percy Liang Chelsea Finn OOD 72 202 0 20 Oct 2022
Towards Understanding GD with Hard and Conjugate Pseudo-labels for Test-Time Adaptation Jun-Kun Wang Andre Wibisono 53 8 0 18 Oct 2022
Constrained Maximum Cross-Domain Likelihood for Domain Generalization Jianxin Lin Yongqiang Tang Junping Wang Wensheng Zhang OOD 37 3 0 09 Oct 2022
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts Tao Zhong Zhixiang Chi Li Gu Yang Wang Yuanhao Yu Jingshan Tang OOD 76 30 0 08 Oct 2022
Improving ProtoNet for Few-Shot Video Object Recognition: Winner of ORBIT Challenge 2022 Liming Gu Zhixiang Chi Huan Liu Yuanhao Yu Yang Wang 52 7 0 01 Oct 2022
Mitigating Both Covariate and Conditional Shift for Domain Generalization Jianxin Lin Yongqiang Tang Junping Wang Wensheng Zhang OOD 58 3 0 17 Sep 2022
Adaptive Domain Generalization via Online Disagreement Minimization Xinyu Zhang Ying-Cong Chen OOD 37 5 0 03 Aug 2022
Gated Domain Units for Multi-source Domain Generalization Simon Foll Alina Dubatovka Eugen Ernst Siu Lun Chau Martin Maritsch Patrik Okanovic Gudrun Thater J. M. Buhmann Felix Wortmann Krikamol Muandet OOD 74 4 0 24 Jun 2022
INDIGO: Intrinsic Multimodality for Domain Generalization Puneet Mangla Shivam Chandhok Milan Aggarwal V. Balasubramanian Balaji Krishnamurthy VLM 46 2 0 13 Jun 2022
Domain Generalization by Mutual-Information Regularization with Pre-trained Models Junbum Cha Kyungjae Lee Sungrae Park Sanghyuk Chun OOD 61 132 0 21 Mar 2022
MEMO: Test Time Robustness via Adaptation and Augmentation Marvin Zhang Sergey Levine Chelsea Finn OOD TTA 71 313 0 18 Oct 2021
ST-MAML: A Stochastic-Task based Method for Task-Heterogeneous Meta-Learning Zhe Wang J. E. Grigsby Arshdeep Sekhon Yanjun Qi 82 5 0 27 Sep 2021