Title
Leveraging Unlabeled Data to Predict Out-of-Distribution Performance Saurabh Garg Sivaraman Balakrishnan Zachary Chase Lipton Behnam Neyshabur Hanie Sedghi OODD OOD 50 125 0 11 Jan 2022
Information-Theoretic Bias Reduction via Causal View of Spurious Correlation Seonguk Seo Joon-Young Lee Bohyung Han CML 36 24 0 10 Jan 2022
Improving Out-of-Distribution Robustness via Selective Augmentation Huaxiu Yao Yu-Xiang Wang Sai Li Linjun Zhang Weixin Liang James Zou Chelsea Finn OOD OODD 23 212 0 02 Jan 2022
Improving Baselines in the Wild Kazuki Irie Imanol Schlag Róbert Csordás Jürgen Schmidhuber 22 3 0 31 Dec 2021
MSeg: A Composite Dataset for Multi-domain Semantic Segmentation John Lambert Zhuang Liu Ozan Sener James Hays V. Koltun VLM 31 197 0 27 Dec 2021
Domain-Aware Continual Zero-Shot Learning Kai Yi Paul Janson Wenxuan Zhang Mohamed Elhoseiny 51 4 0 24 Dec 2021
Encoding Hierarchical Information in Neural Networks helps in Subpopulation Shift Amitangshu Mukherjee Isha Garg Kaushik Roy 14 5 0 20 Dec 2021
Rethinking Importance Weighting for Transfer Learning Nan Lu Tianyi Zhang Tongtong Fang Takeshi Teshima Masashi Sugiyama 37 11 0 19 Dec 2021
Automated Domain Discovery from Multiple Sources to Improve Zero-Shot Generalization Kowshik Thopalli Sameeksha Katoch P. Turaga Jayaraman J. Thiagarajan OOD 26 0 0 17 Dec 2021
How to Learn when Data Gradually Reacts to Your Model Zachary Izzo James Zou Lexing Ying OOD 14 24 0 13 Dec 2021
Human Guided Exploitation of Interpretable Attention Patterns in Summarization and Topic Segmentation Raymond Li Wen Xiao Linzi Xing Lanjun Wang Gabriel Murray Giuseppe Carenini ViT 27 7 0 10 Dec 2021
PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures Dan Hendrycks Andy Zou Mantas Mazeika Leonard Tang Bo-wen Li D. Song Jacob Steinhardt UQCV 23 137 0 09 Dec 2021
Burn After Reading: Online Adaptation for Cross-domain Streaming Data Luyu Yang M. Gao Zeyuan Chen Ran Xu Abhinav Shrivastava Chetan Ramaiah 29 4 0 08 Dec 2021
The Effect of Model Size on Worst-Group Generalization Alan Pham Eunice Chan V. Srivatsa Dhruba Ghosh Yaoqing Yang Yaodong Yu Ruiqi Zhong Joseph E. Gonzalez Jacob Steinhardt 23 5 0 08 Dec 2021
OOD-GNN: Out-of-Distribution Generalized Graph Neural Network Haoyang Li Xin Wang Ziwei Zhang Wenwu Zhu OODD OOD 29 97 0 07 Dec 2021
Editing a classifier by rewriting its prediction rules Shibani Santurkar Dimitris Tsipras Mahalaxmi Elango David Bau Antonio Torralba A. Madry KELM 186 89 0 02 Dec 2021
Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark Alexandre Lacoste Evan D. Sherwin Hannah Kerner Hamed Alemohammad Bjorn Lutjens ... Alex Chang Mehmet Gunturkun Alexandre Drouin Pau Rodríguez López David Vazquez AI4Cl AI4CE 22 30 0 01 Dec 2021
A benchmark with decomposed distribution shifts for 360 monocular depth estimation G. Albanis N. Zioulis Petros Drakoulis Federico Álvarez D. Zarpalas P. Daras MDE 40 0 0 01 Dec 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 31 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 39 112 0 27 Nov 2021
Failure Modes of Domain Generalization Algorithms T. Galstyan Hrayr Harutyunyan Hrant Khachatrian Greg Ver Steeg Aram Galstyan OOD 41 10 0 26 Nov 2021
How Well Do Sparse Imagenet Models Transfer? Eugenia Iofinova Alexandra Peste Mark Kurtz Dan Alistarh 27 38 0 26 Nov 2021
Domain Prompt Learning for Efficiently Adapting CLIP to Unseen Domains X. Zhang S. Gu Yutaka Matsuo Yusuke Iwasawa VLM 41 37 0 25 Nov 2021
ReAct: Out-of-distribution Detection With Rectified Activations Yiyou Sun Chuan Guo Yixuan Li OODD 43 456 0 24 Nov 2021
Combining Data-driven Supervision with Human-in-the-loop Feedback for Entity Resolution Wenpeng Yin Shelby Heinecke Jia Li N. Keskar Michael J. Jones Shouzhong Shi Stanislav Georgiev Kurt Milich Joseph Esposito Caiming Xiong 28 2 0 20 Nov 2021
DICE: Leveraging Sparsification for Out-of-Distribution Detection Yiyou Sun Yixuan Li OODD 38 151 0 18 Nov 2021
SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning Christopher Yeh Chenlin Meng Sherrie Wang Anne Driscoll Erik Rozi Patrick Liu Jihyeon Janel Lee Marshall Burke David B. Lobell Stefano Ermon 64 56 0 08 Nov 2021
Evaluating Predictive Uncertainty and Robustness to Distributional Shift Using Real World Data Kumud Lakara Akshat Bhandari Pratinav Seth Ujjwal Verma OOD 21 3 0 08 Nov 2021
Simple data balancing achieves competitive worst-group-accuracy Badr Youbi Idrissi Martín Arjovsky Mohammad Pezeshki David Lopez-Paz 42 173 0 27 Oct 2021
Learning Domain Invariant Representations in Goal-conditioned Block MDPs Beining Han Chongyi Zheng Harris Chan Keiran Paster Michael Ruogu Zhang Jimmy Ba OOD AI4CE 20 13 0 27 Oct 2021
On sensitivity of meta-learning to support data Mayank Agarwal Mikhail Yurochkin Yuekai Sun 22 20 0 26 Oct 2021
Identifying and Benchmarking Natural Out-of-Context Prediction Problems David Madras D. Psaltis CML OOD 32 4 0 25 Oct 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 188 879 0 21 Oct 2021
A Fine-Grained Analysis on Distribution Shift Olivia Wiles Sven Gowal Florian Stimberg Sylvestre-Alvise Rebuffi Ira Ktena Krishnamurthy Dvijotham A. Cemgil OOD 227 203 0 21 Oct 2021
UniFed: A Unified Framework for Federated Learning on Non-IID Image Features Meirui Jiang Xiaoxiao Li Xiaofei Zhang Michael Kamp Qianming Dou FedML OOD 34 0 0 19 Oct 2021
MEMO: Test Time Robustness via Adaptation and Augmentation Marvin Zhang Sergey Levine Chelsea Finn OOD TTA 40 303 0 18 Oct 2021
Focus on the Common Good: Group Distributional Robustness Follows Vihari Piratla Praneeth Netrapalli Sunita Sarawagi OOD 28 25 0 06 Oct 2021
Exploring the Limits of Large Scale Pre-training Samira Abnar Mostafa Dehghani Behnam Neyshabur Hanie Sedghi AI4CE 60 114 0 05 Oct 2021
Swiss-Judgment-Prediction: A Multilingual Legal Judgment Prediction Benchmark Joel Niklaus Ilias Chalkidis Matthias Sturmer ELM AILaw 9 69 0 02 Oct 2021
On the Importance of Gradients for Detecting Distributional Shifts in the Wild Rui Huang Andrew Geng Yixuan Li 195 328 0 01 Oct 2021
FathomNet: A global image database for enabling artificial intelligence in the ocean K. Katija E. Orenstein B. Schlining L. Lundsten K. Barnard ... O. Boulais M. Cromwell Erin R Butler Benjamin Woodward K. L. Bell 12 69 0 29 Sep 2021
Unsolved Problems in ML Safety Dan Hendrycks Nicholas Carlini John Schulman Jacob Steinhardt 186 275 0 28 Sep 2021
Multimodality in Meta-Learning: A Comprehensive Survey Yao Ma Shilin Zhao Weixiao Wang Yaoman Li Irwin King 50 53 0 28 Sep 2021
Robust Generalization of Quadratic Neural Networks via Function Identification Kan Xu Hamsa Bastani Osbert Bastani OOD 34 8 0 22 Sep 2021
SoK: Machine Learning Governance Varun Chandrasekaran Hengrui Jia Anvith Thudi Adelin Travers Mohammad Yaghini Nicolas Papernot 38 16 0 20 Sep 2021
Types of Out-of-Distribution Texts and How to Detect Them Udit Arora William Huang He He OODD 225 97 0 14 Sep 2021
On Language Models for Creoles Heather Lent Emanuele Bugliarello Miryam de Lhoneux Chen Qiu Anders Søgaard 39 20 0 13 Sep 2021
Variational Disentanglement for Domain Generalization Yufei Wang Haoliang Li Hao Cheng Bihan Wen Lap-Pui Chau Alex C. Kot OOD DRL 22 24 0 13 Sep 2021
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization Alexandre Ramé Corentin Dancette Matthieu Cord OOD 40 204 0 07 Sep 2021
NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization Haoyue Bai Fengwei Zhou Lanqing Hong Nanyang Ye Shueng-Han Gary Chan Zhenguo Li OOD UQCV 20 42 0 05 Sep 2021