Measuring Robustness to Natural Distribution Shifts in Image Classification

1 July 2020

Benjamin Recht

Papers citing "Measuring Robustness to Natural Distribution Shifts in Image Classification"

50 / 351 papers shown

Title
Unsupervised Detection of Distribution Shift in Inverse Problems using Diffusion Models Shirin Shoushtari Edward P. Chandler M. Salman Asif Ulugbek S. Kamilov DiffM 14 0 0 16 May 2025
RobustSpring: Benchmarking Robustness to Image Corruptions for Optical Flow, Scene Flow and Stereo Jenny Schmalfuss Victor Oei Lukas Mehl Madlen Bartsch Shashank Agnihotri M. Keuper Andrés Bruhn 31 0 0 14 May 2025
Mice to Machines: Neural Representations from Visual Cortex for Domain Generalization Ahmed Qazi Hamd Jalil Asim Iqbal OOD 33 0 0 11 May 2025
NeuRN: Neuro-inspired Domain Generalization for Image Classification Hamd Jalil Ahmed Qazi Asim Iqbal OOD MedIm 26 0 0 11 May 2025
Using Knowledge Graphs to harvest datasets for efficient CLIP model training Simon Ging Sebastian Walter Jelena Bratulić Johannes Dienert Hannah Bast Thomas Brox CLIP 27 0 0 05 May 2025
DataS^3: Dataset Subset Selection for Specialization Neha Hulkund Alaa Maalouf Levi Cai Daniel Yang Tsun-Hsuan Wang ... Ken Goldberg Hannah Kerner Irene Chen Yogesh A. Girdhar Sara Beery 33 0 0 22 Apr 2025
Intermediate Layer Classifiers for OOD generalization Arnas Uselis Seong Joon Oh OOD 56 0 0 07 Apr 2025
Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies Lucas Heublein N. Raichur Tobias Feigl Tobias Brieger Fin Heuer Lennart Asbach A. Rügamer Felix Ott 49 7 0 31 Mar 2025
Whisper-LM: Improving ASR Models with Language Models for Low-Resource Languages Xabier de Zuazo Eva Navas Ibon Saratxaga Inma Hernáez Rioja 42 0 0 30 Mar 2025
EasyRobust: A Comprehensive and Easy-to-use Toolkit for Robust and Generalized Vision Xiaofeng Mao YueFeng Chen Rong Zhang Hui Xue Zhao Li Hang Su AAML VLM 43 0 0 21 Mar 2025
In Shift and In Variance: Assessing the Robustness of HAR Deep Learning Models against Variability Azhar Ali Khaked Nobuyuki Oishi Daniel Roggen Paula Lago 52 0 0 14 Mar 2025
What's in a Latent? Leveraging Diffusion Latent Space for Domain Generalization Xavier Thomas Deepti Ghadiyaram DiffM 92 0 0 09 Mar 2025
Statistical Deficiency for Task Inclusion Estimation Loïc Fosse Frédéric Béchet Benoit Favre Géraldine Damnati Gwénolé Lecorvé Maxime Darrin Philippe Formont Pablo Piantanida 183 0 0 07 Mar 2025
A Causal Framework for Aligning Image Quality Metrics and Deep Neural Network Robustness Nathan G. Drenkow Mathias Unberath OOD 78 0 0 04 Mar 2025
Parameter Expanded Stochastic Gradient Markov Chain Monte Carlo Hyunsu Kim G. Nam Chulhee Yun Hongseok Yang Juho Lee BDL UQCV 62 0 0 02 Mar 2025
Robustness and Cybersecurity in the EU Artificial Intelligence Act Henrik Nolte Miriam Rateike Michèle Finck 38 1 0 22 Feb 2025
Efficient Learning Under Density Shift in Incremental Settings Using Cramér-Rao-Based Regularization Behraj Khan Behroz Mirza Nouman Durrani T. Syed 60 0 0 18 Feb 2025
Likelihood-Ratio Regularized Quantile Regression: Adapting Conformal Prediction to High-Dimensional Covariate Shifts Sunay Joshi Shayan Kiyani George Pappas Yan Sun Hamed Hassani 75 0 0 18 Feb 2025
On the Promise for Assurance of Differentiable Neurosymbolic Reasoning Paradigms Luke E. Richards Jessie Yaros Jasen Babcock Coung Ly Robin Cosbey Timothy Doster Cynthia Matuszek NAI 66 0 0 13 Feb 2025
Privacy-Preserving Dataset Combination Keren Fuentes Mimee Xu Irene Chen 43 0 0 09 Feb 2025
Towards Understanding Extrapolation: a Causal Lens Lingjing Kong Guangyi Chen P. Stojanov Yiming Li Eric P. Xing Kun Zhang 185 2 0 17 Jan 2025
Federated Learning with MMD-based Early Stopping for Adaptive GNSS Interference Classification Nishant S. Gaikwad Lucas Heublein N. Raichur Tobias Feigl Christopher Mutschler Felix Ott 56 5 0 31 Dec 2024
OODFace: Benchmarking Robustness of Face Recognition under Common Corruptions and Appearance Variations Caixin Kang Yubo Chen Shouwei Ruan Shiji Zhao Ruochen Zhang Jiayi Wang Shan Fu Xingxing Wei CVBM 79 0 0 03 Dec 2024
Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Kaican Li Weiyan Xie Yongxiang Huang Didan Deng Lanqing Hong ZeLin Li Ricardo Silva N. Zhang 74 0 0 29 Nov 2024
Label Distribution Shift-Aware Prediction Refinement for Test-Time Adaptation M-U Jang Hye Won Chung TTA 224 0 0 20 Nov 2024
Improving self-training under distribution shifts via anchored confidence with theoretical guarantees Taejong Joo Diego Klabjan UQCV 49 0 0 01 Nov 2024
Adjusting Pretrained Backbones for Performativity Berker Demirel Lingjing Kong Kun Zhang Theofanis Karaletsos Celestine Mendler-Dünner Francesco Locatello KELM 19 0 0 06 Oct 2024
Toward a Holistic Evaluation of Robustness in CLIP Models Weijie Tu Weijian Deng Tom Gedeon VLM 41 5 0 02 Oct 2024
Calibrating Language Models with Adaptive Temperature Scaling Johnathan Xie Annie S. Chen Yoonho Lee Eric Mitchell Chelsea Finn 20 7 0 29 Sep 2024
CRoP: Context-wise Robust Static Human-Sensing Personalization Sawinder Kaur Avery Gump Yi Xiao Jingyu Xin Harshit Sharma Nina R Benway Jonathan L Preston Asif Salekin 29 0 0 26 Sep 2024
Exploring Fine-grained Retail Product Discrimination with Zero-shot Object Classification Using Vision-Language Models Anil Osman Tur Alessandro Conti Cigdem Beyan Davide Boscaini Roberto Larcher S. Messelodi Fabio Poiesi Elisa Ricci VLM 39 0 0 23 Sep 2024
Evaluating ML Robustness in GNSS Interference Classification, Characterization & Localization Lucas Heublein Tobias Feigl Thorsten Nowak A. Rügamer Christopher Mutschler Felix Ott 34 6 0 23 Sep 2024
Simple Unsupervised Knowledge Distillation With Space Similarity Aditya Singh Haohan Wang 31 1 0 20 Sep 2024
Unsupervised Domain Adaptation Via Data Pruning Andrea Napoli Paul White 36 1 0 18 Sep 2024
Control+Shift: Generating Controllable Distribution Shifts Roy Friedman Rhea Chowers 52 0 0 12 Sep 2024
Bootstrap Segmentation Foundation Model under Distribution Shift via Object-Centric Learning Luyao Tang Yuxuan Yuan Chia-Ju Chen Kunze Huang Xinghao Ding Yue Huang VLM 30 1 0 29 Aug 2024
HiLo: A Learning Framework for Generalized Category Discovery Robust to Domain Shifts Hongjun Wang S. Vaze Kai Han 74 4 0 08 Aug 2024
A Survey and Evaluation of Adversarial Attacks for Object Detection Khoi Nguyen Tiet Nguyen Wenyu Zhang Kangkang Lu Yuhuan Wu Xingjian Zheng Hui Li Tan Liangli Zhen AAML 38 0 0 04 Aug 2024
Assessing Robustness of Machine Learning Models using Covariate Perturbations Arun Prakash A. Bhattacharyya Eric Heim Vijayan N. Nair Model OOD AAML 38 1 0 02 Aug 2024
Interpreting Global Perturbation Robustness of Image Models using Axiomatic Spectral Importance Decomposition Róisín Luo James McDermott C. O'Riordan AAML 42 0 0 02 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 77 7 0 28 Jul 2024
LCA-on-the-Line: Benchmarking Out-of-Distribution Generalization with Class Taxonomies Jia Shi Gautam Gare Jinjin Tian Siqi Chai Zhiqiu Lin Arun Vasudevan Di Feng Francesco Ferroni Shu Kong VLM OODD OOD 58 3 0 22 Jul 2024
TADA: Temporal Adversarial Data Augmentation for Time Series Data Byeong Tak Lee Joon-Myoung Kwon Yong-Yeon Jo TTA 39 0 0 21 Jul 2024
Realistic Evaluation of Test-Time Adaptation Algorithms: Unsupervised Hyperparameter Selection Sebastian Cygert Damian Sójka Tomasz Trzciñski Bartlomiej Twardowski 58 0 0 19 Jul 2024
Understanding the Role of Invariance in Transfer Learning Till Speicher Vedant Nanda Krishna P. Gummadi SSL OOD 48 1 0 05 Jul 2024
Evaluating Model Performance Under Worst-case Subpopulations Mike Li Hongseok Namkoong Shangzhou Xia 48 17 0 01 Jul 2024
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors Peter Lorenz Mario Fernandez Jens Müller Ullrich Kothe AAML 78 1 0 21 Jun 2024
Comparison of fine-tuning strategies for transfer learning in medical image classification Ana Davila Jacinto Colan Yasuhisa Hasegawa 24 17 0 14 Jun 2024
Mutual Information Guided Backdoor Mitigation for Pre-trained Encoders Tingxu Han Weisong Sun Ziqi Ding Chunrong Fang Hanwei Qian Jiaxun Li Zhenyu Chen Xiangyu Zhang AAML 38 7 0 05 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 77 3 0 05 Jun 2024