Title
Benchmarking Low-Shot Robustness to Natural Distribution Shifts Aaditya K. Singh Kartik Sarangmath Prithvijit Chattopadhyay Judy Hoffman OOD 90 1 0 21 Apr 2023
A Domain-Region Based Evaluation of ML Performance Robustness to Covariate Shift Firas Bayram Bestoun S. Ahmed OOD 55 4 0 18 Apr 2023
Leveraging sparse and shared feature activations for disentangled representation learning Marco Fumero F. Wenzel Luca Zancato Alessandro Achille Emanuele Rodolà Stefano Soatto Bernhard Schölkopf Francesco Locatello OOD DRL 95 25 0 17 Apr 2023
Unified Out-Of-Distribution Detection: A Model-Specific Perspective Reza Averly Wei-Lun Chao OODD 82 14 0 13 Apr 2023
Reliable learning in challenging environments Maria-Florina Balcan Steve Hanneke Rattana Pukdee Dravyansh Sharma OOD 80 6 0 06 Apr 2023
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck Jongheon Jeong Sihyun Yu Hankook Lee Jinwoo Shin AAML 80 0 0 24 Mar 2023
A Closer Look at Model Adaptation using Feature Distortion and Simplicity Bias Puja Trivedi Danai Koutra Jayaraman J. Thiagarajan AAML 72 18 0 23 Mar 2023
Explanation Shift: How Did the Distribution Shift Impact the Model? Carlos Mougan Klaus Broelemann David Masip Gjergji Kasneci Thanassis Thiropanis Steffen Staab FAtt 81 2 0 14 Mar 2023
Masked Images Are Counterfactual Samples for Robust Fine-tuning Yao Xiao Ziyi Tang Pengxu Wei Cong Liu Liang Lin 131 19 0 06 Mar 2023
Diagnosing Model Performance Under Distribution Shift Tiffany Cai Hongseok Namkoong Steve Yadlowsky 132 36 0 03 Mar 2023
Edit at your own risk: evaluating the robustness of edited models to distribution shifts Davis Brown Charles Godfrey Cody Nizinski Jonathan Tu Henry Kvinge KELM 85 8 0 28 Feb 2023
The Role of Pre-training Data in Transfer Learning R. Entezari Mitchell Wortsman O. Saukh M. Shariatnia Hanie Sedghi Ludwig Schmidt 98 23 0 27 Feb 2023
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective Jindong Wang Xixu Hu Wenxin Hou Hao Chen Runkai Zheng ... Weirong Ye Xiubo Geng Binxing Jiao Yue Zhang Xingxu Xie AI4MH 160 240 0 22 Feb 2023
DC4L: Distribution Shift Recovery via Data-Driven Control for Deep Learning Models Vivian Lin Kuk Jin Jang Souradeep Dutta Michele Caprio O. Sokolsky Insup Lee OOD 80 6 0 20 Feb 2023
On the Stability and Generalization of Triplet Learning Jun Chen Hao Chen Xue Jiang Bin Gu Weifu Li Tieliang Gong Feng Zheng 54 4 0 20 Feb 2023
Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation Joshua Vendrow Saachi Jain Logan Engstrom Aleksander Madry OOD 85 35 0 15 Feb 2023
RLSbench: Domain Adaptation Under Relaxed Label Shift Saurabh Garg Nick Erickson James Sharpnack Alexander J. Smola Sivaraman Balakrishnan Zachary Chase Lipton VLM 104 33 0 06 Feb 2023
Leaving Reality to Imagination: Robust Classification via Generated Datasets Hritik Bansal Aditya Grover OOD 117 94 0 05 Feb 2023
Effective Robustness against Natural Distribution Shifts for Models with Different Training Data Zhouxing Shi Nicholas Carlini Ananth Balashankar Ludwig Schmidt Cho-Jui Hsieh Alex Beutel Yao Qin OOD 64 10 0 02 Feb 2023
Confidence and Dispersity Speak: Characterising Prediction Matrix for Unsupervised Accuracy Estimation Weijian Deng Yumin Suh Stephen Gould Liang Zheng UQCV 81 13 0 02 Feb 2023
CLIPood: Generalizing CLIP to Out-of-Distributions Yang Shu Xingzhuo Guo Jialong Wu Ximei Wang Jianmin Wang Mingsheng Long OODD VLM 149 79 0 02 Feb 2023
Model Monitoring and Robustness of In-Use Machine Learning Models: Quantifying Data Distribution Shifts Using Population Stability Index A. Khademi M. Hopka Devesh Upadhyay OOD 73 3 0 01 Feb 2023
Pathologies of Predictive Diversity in Deep Ensembles Taiga Abe E. Kelly Buchanan Geoff Pleiss John P. Cunningham UQCV 147 14 0 01 Feb 2023
Demystifying Disagreement-on-the-Line in High Dimensions Dong-Hwan Lee Behrad Moniri Xinmeng Huang Yan Sun Hamed Hassani 77 9 0 31 Jan 2023
Generalization on the Unseen, Logic Reasoning and Degree Curriculum Emmanuel Abbe Samy Bengio Aryo Lotfi Kevin Rizk LRM 97 55 0 30 Jan 2023
Does progress on ImageNet transfer to real-world datasets? Alex Fang Simon Kornblith Ludwig Schmidt VLM 87 38 0 11 Jan 2023
"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice Giovanni Apruzzese Hyrum S. Anderson Savino Dambra D. Freeman Fabio Pierazzi Kevin A. Roundy AAML 105 81 0 29 Dec 2022
A System-Level View on Out-of-Distribution Data in Robotics Rohan Sinha Apoorva Sharma Somrita Banerjee T. Lew Rachel Luo Spencer M. Richards Yixiao Sun Edward Schmerling Marco Pavone UQCV 97 26 0 28 Dec 2022
Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization Alexandre Ramé Kartik Ahuja Jianyu Zhang Matthieu Cord Léon Bottou David Lopez-Paz MoMe OODD 124 86 0 20 Dec 2022
Reproducible scaling laws for contrastive language-image learning Mehdi Cherti Romain Beaumont Ross Wightman Mitchell Wortsman Gabriel Ilharco Cade Gordon Christoph Schuhmann Ludwig Schmidt J. Jitsev VLM CLIP 139 824 0 14 Dec 2022
Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases Mazda Moayeri Wenxiao Wang Sahil Singla Soheil Feizi 167 16 0 05 Dec 2022
Finetune like you pretrain: Improved finetuning of zero-shot vision models Sachin Goyal Ananya Kumar Sankalp Garg Zico Kolter Aditi Raghunathan CLIP VLM 129 156 0 01 Dec 2022
Context-Aware Robust Fine-Tuning Xiaofeng Mao YueFeng Chen Xiaojun Jia Rong Zhang Hui Xue Zhao Li VLM CLIP 83 26 0 29 Nov 2022
Subgroup Robustness Grows On Trees: An Empirical Baseline Investigation Josh Gardner Zoran Popovic Ludwig Schmidt OOD 103 23 0 23 Nov 2022
Path Independent Equilibrium Models Can Better Exploit Test-Time Computation Cem Anil Ashwini Pokle Kaiqu Liang Johannes Treutlein Yuhuai Wu Shaojie Bai Zico Kolter Roger C. Grosse 60 17 0 18 Nov 2022
Online Distribution Shift Detection via Recency Prediction Rachel Luo Rohan Sinha Yixiao Sun Ali Hindy Shengjia Zhao Silvio Savarese Edward Schmerling Marco Pavone 91 10 0 17 Nov 2022
Active Learning with Expected Error Reduction Stephen Mussmann Julia Reisler Daniel Tsai Ehsan Mousavi S. O'Brien M. Goldszmidt UQCV BDL 87 11 0 17 Nov 2022
Empirical Study on Optimizer Selection for Out-of-Distribution Generalization Hiroki Naganuma Kartik Ahuja S. Takagi Tetsuya Motokawa Rio Yokota Kohta Ishikawa I. Sato Ioannis Mitliagkas OOD 93 7 0 15 Nov 2022
Towards Better Out-of-Distribution Generalization of Neural Algorithmic Reasoning Tasks Sadegh Mahdavi Kevin Swersky Thomas Kipf Milad Hashemi Christos Thrampoulidis Renjie Liao LRM OOD NAI 104 26 0 01 Nov 2022
Generalization Differences between End-to-End and Neuro-Symbolic Vision-Language Reasoning Systems Wang Zhu Jesse Thomason Robin Jia VLM OOD NAI LRM 53 6 0 26 Oct 2022
OOD-DiskANN: Efficient and Scalable Graph ANNS for Out-of-Distribution Queries Shikhar Jaiswal Ravishankar Krishnaswamy Ankit Garg H. Simhadri Sheshansh Agrawal 82 26 0 22 Oct 2022
Exploring The Landscape of Distributional Robustness for Question Answering Models Anas Awadalla Mitchell Wortsman Gabriel Ilharco Sewon Min Ian H. Magnusson Hannaneh Hajishirzi Ludwig Schmidt ELM OOD KELM 116 21 0 22 Oct 2022
Monotonic Risk Relationships under Distribution Shifts for Regularized Risk Minimization Daniel LeJeune Jiayu Liu Reinhard Heckel 63 1 0 20 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 137 214 0 20 Oct 2022
On Feature Learning in the Presence of Spurious Correlations Pavel Izmailov Polina Kirichenko Nate Gruver A. Wilson 127 129 0 20 Oct 2022
A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities Andrea Tocchetti Lorenzo Corti Agathe Balayn Mireia Yurrita Philip Lippmann Marco Brambilla Jie Yang 84 14 0 17 Oct 2022
Caption supervision enables robust learners Ben Feuer Ameya Joshi Chinmay Hegde SSL CLIP VLM 76 2 0 13 Oct 2022
Benchmarking Long-tail Generalization with Likelihood Splits Ameya Godbole Robin Jia ALM 79 9 0 13 Oct 2022
DIAGNOSE: Avoiding Out-of-distribution Data using Submodular Information Measures Suraj Kothawade Akshit Shrivastava V. Iyer Ganesh Ramakrishnan Rishabh K. Iyer 43 1 0 04 Oct 2022
Transfer Learning with Pretrained Remote Sensing Transformers A. Fuller K. Millard J.R. Green 70 11 0 28 Sep 2022