In Search of Lost Domain Generalization

2 July 2020

Papers citing "In Search of Lost Domain Generalization"

50 / 226 papers shown

Title
Bayesian Active Learning for Scanning Probe Microscopy: from Gaussian Processes to Hypothesis Learning M. Ziatdinov Yongtao Liu K. Kelley Rama K Vasudevan Sergei V. Kalinin AI4CE 39 49 0 30 May 2022
PAC Generalization via Invariant Representations Advait Parulekar Karthikeyan Shanmugam Sanjay Shakkottai 35 3 0 30 May 2022
The Missing Invariance Principle Found -- the Reciprocal Twin of Invariant Risk Minimization Dongsung Huh A. Baidya OOD 22 8 0 29 May 2022
Dynamic Domain Generalization Zhishu Sun Zhifeng Shen Luojun Lin Yuanlong Yu Zhifeng Yang Shicai Yang Weijie Chen OOD 21 18 0 27 May 2022
Looking for Out-of-Distribution Environments in Multi-center Critical Care Data Dimitris Spathis Stephanie L. Hyland OOD CML 24 4 0 26 May 2022
Not to Overfit or Underfit the Source Domains? An Empirical Study of Domain Generalization in Question Answering Md Arafat Sultan Avirup Sil Radu Florian OOD 24 6 0 15 May 2022
ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models Chunyuan Li Haotian Liu Liunian Harold Li Pengchuan Zhang J. Aneja ... Ping Jin Houdong Hu Zicheng Liu Yong Jae Lee Jianfeng Gao 24 144 0 19 Apr 2022
The Two Dimensions of Worst-case Training and the Integrated Effect for Out-of-domain Generalization Zeyi Huang Haohan Wang Dong Huang Yong Jae Lee Eric P. Xing 11 22 0 09 Apr 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations Polina Kirichenko Pavel Izmailov A. Wilson OOD 34 314 0 06 Apr 2022
On the Road to Online Adaptation for Semantic Image Segmentation Riccardo Volpi Pau de Jorge Diane Larlus G. Csurka OffRL 25 25 0 30 Mar 2022
Invariance Learning based on Label Hierarchy S. Toyota Kenji Fukumizu OOD 17 1 0 29 Mar 2022
Domain Generalization by Mutual-Information Regularization with Pre-trained Models Junbum Cha Kyungjae Lee Sungrae Park Sanghyuk Chun OOD 26 131 0 21 Mar 2022
Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization Yabin Zhang Minghan Li Ruihuang Li K. Jia Lei Zhang OOD 22 161 0 15 Mar 2022
Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness Tejas Gokhale Swaroop Mishra Man Luo Bhavdeep Singh Sachdeva Chitta Baral 42 29 0 15 Mar 2022
MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts Weixin Liang James Y. Zou OOD 35 81 0 14 Feb 2022
Transferability in Deep Learning: A Survey Junguang Jiang Yang Shu Jianmin Wang Mingsheng Long OOD 25 101 0 15 Jan 2022
Towards Group Robustness in the presence of Partial Group Labels Vishnu Suresh Lokhande Kihyuk Sohn Jinsung Yoon Madeleine Udell Chen-Yu Lee Tomas Pfister OOD 24 11 0 10 Jan 2022
Optimal Representations for Covariate Shift Yangjun Ruan Yann Dubois Chris J. Maddison OOD 20 68 0 31 Dec 2021
Domain-Aware Continual Zero-Shot Learning Kai Yi Paul Janson Wenxuan Zhang Mohamed Elhoseiny 37 4 0 24 Dec 2021
Balancing Fairness and Robustness via Partial Invariance Moulik Choraria Ibtihal Ferwana Ankur Mani L. Varshney OOD 20 1 0 17 Dec 2021
Measure and Improve Robustness in NLP Models: A Survey Xuezhi Wang Haohan Wang Diyi Yang 139 130 0 15 Dec 2021
Seeing Objects in dark with Continual Contrastive Learning U. Dutta ObjD 25 3 0 06 Dec 2021
Learning Invariant Representations with Missing Data Mark Goldstein J. Jacobsen O. Chau A. Saporta A. Puli Rajesh Ranganath Andrew C. Miller OOD 12 5 0 01 Dec 2021
Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective Yuejiang Liu Riccardo Cadei Jonas Schweizer Sherwin Bahmani Alexandre Alahi OOD TTA 28 51 0 29 Nov 2021
OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images Bingchen Zhao Shaozuo Yu Wufei Ma M. Yu Shenxiao Mei Angtian Wang Ju He Alan Yuille Adam Kortylewski 21 53 0 29 Nov 2021
Towards Principled Disentanglement for Domain Generalization Hanlin Zhang Yi-Fan Zhang Weiyang Liu Adrian Weller Bernhard Schölkopf Eric P. Xing OOD 23 112 0 27 Nov 2021
Domain Prompt Learning for Efficiently Adapting CLIP to Unseen Domains X. Zhang S. Gu Yutaka Matsuo Yusuke Iwasawa VLM 30 36 0 25 Nov 2021
Multi-label Iterated Learning for Image Classification with Label Ambiguity Sai Rajeswar Pau Rodríguez López Soumye Singhal David Vazquez Aaron C. Courville VLM 11 30 0 23 Nov 2021
Federated Learning with Domain Generalization Liling Zhang Xinyu Lei Yichun Shi Hongyu Huang Chao Chen FedML OOD 22 54 0 20 Nov 2021
Simple data balancing achieves competitive worst-group-accuracy Badr Youbi Idrissi Martín Arjovsky Mohammad Pezeshki David Lopez-Paz 28 173 0 27 Oct 2021
MEMO: Test Time Robustness via Adaptation and Augmentation Marvin Zhang Sergey Levine Chelsea Finn OOD TTA 11 299 0 18 Oct 2021
Exploiting Domain-Specific Features to Enhance Domain Generalization Manh-Ha Bui Toan M. Tran Anh Tran D.Q. Phung OOD 26 125 0 18 Oct 2021
Natural Attribute-based Shift Detection Jeonghoon Park Jimin Hong Radhika Dua Daehoon Gwak Yixuan Li Jaegul Choo E. Choi OOD 25 3 0 18 Oct 2021
Dynamically Decoding Source Domain Knowledge for Domain Generalization Cuicui Kang Karthik Nandakumar OOD ViT 24 1 0 06 Oct 2021
Test-time Batch Statistics Calibration for Covariate Shift Fuming You Jingjing Li Zhou Zhao OOD 15 54 0 06 Oct 2021
Shape-Biased Domain Generalization via Shock Graph Embeddings M. Narayanan Vickram Rajendran Benjamin Kimia 9 14 0 13 Sep 2021
On the Impact of Spurious Correlation for Out-of-distribution Detection Yifei Ming Hang Yin Yixuan Li OODD 151 74 0 12 Sep 2021
Discovery of New Multi-Level Features for Domain Generalization via Knowledge Corruption A. Frikha Denis Krompass Volker Tresp OOD 30 1 0 09 Sep 2021
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization Alexandre Ramé Corentin Dancette Matthieu Cord OOD 38 204 0 07 Sep 2021
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond Amir Feder Katherine A. Keith Emaad A. Manzoor Reid Pryzant Dhanya Sridhar ... Roi Reichart Margaret E. Roberts Brandon M Stewart Victor Veitch Diyi Yang CML 30 234 0 02 Sep 2021
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 29 515 0 31 Aug 2021
A comparison of approaches to improve worst-case predictive model performance over patient subpopulations Stephen R. Pfohl Haoran Zhang Yizhe Xu Agata Foryciarz Marzyeh Ghassemi N. Shah OOD 21 22 0 27 Aug 2021
Domain Generalization via Gradient Surgery Lucas Mansilla Rodrigo Echeveste Diego H. Milone Enzo Ferrante OOD 14 78 0 03 Aug 2021
A Channel Coding Benchmark for Meta-Learning Rui Li Ondrej Bohdal Rajesh K. Mishra Hyeji Kim Da Li Nicholas D. Lane Timothy M. Hospedales 20 9 0 15 Jul 2021
Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration Cian Eastwood I. Mason Christopher K. I. Williams Bernhard Schölkopf TTA 8 50 0 12 Jul 2021
Iterative Feature Matching: Toward Provable Domain Generalization with Logarithmic Environments Yining Chen Elan Rosenfeld Mark Sellke Tengyu Ma Andrej Risteski OOD 26 32 0 18 Jun 2021
Learning Stable Classifiers by Transferring Unstable Features Yujia Bao Shiyu Chang Regina Barzilay OOD 11 8 0 15 Jun 2021
Invariant Information Bottleneck for Domain Generalization Bo-wen Li Yifei Shen Yezhen Wang Wenzhen Zhu Colorado Reed Jun Zhang Dongsheng Li Kurt Keutzer Han Zhao OOD 26 105 0 11 Jun 2021
An Information-theoretic Approach to Distribution Shifts Marco Federici Ryota Tomioka Patrick Forré OOD 24 17 0 07 Jun 2021
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization Nanyang Ye Kaican Li Haoyue Bai Runpeng Yu Lanqing Hong Fengwei Zhou Zhenguo Li Jun Zhu CML OOD 32 106 0 07 Jun 2021