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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 / 355 papers shown

Title
Understanding the Role of Invariance in Transfer Learning Till Speicher Vedant Nanda Krishna P. Gummadi SSL OOD 87 1 0 05 Jul 2024
Evaluating Model Performance Under Worst-case Subpopulations Mike Li Hongseok Namkoong Shangzhou Xia 104 18 0 01 Jul 2024
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors Peter Lorenz Mario Fernandez Jens Müller Ullrich Kothe AAML 254 1 0 21 Jun 2024
Comparison of fine-tuning strategies for transfer learning in medical image classification Ana Davila Jacinto Colan Yasuhisa Hasegawa 84 24 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 100 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 183 6 0 05 Jun 2024
M3DM-NR: RGB-3D Noisy-Resistant Industrial Anomaly Detection via Multimodal Denoising Chengjie Wang Haokun Zhu Jinlong Peng Yue Wang Ran Yi Yunsheng Wu Lizhuang Ma Jiangning Zhang 136 6 0 04 Jun 2024
Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization Function Keyon Vafa Ashesh Rambachan S. Mullainathan ELM ALM 85 17 0 03 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 144 0 0 24 May 2024
What Variables Affect Out-Of-Distribution Generalization in Pretrained Models? Md Yousuf Harun Kyungbok Lee Jhair Gallardo Giri Krishnan Christopher Kanan 114 6 0 23 May 2024
Transparency Distortion Robustness for SOTA Image Segmentation Tasks Volker Knauthe Arne Rak Tristan Wirth Thomas Pollabauer Simon Metzler Arjan Kuijper Dieter W. Fellner 83 2 0 21 May 2024
Robust Fine-tuning for Pre-trained 3D Point Cloud Models Zhibo Zhang Ximing Yang Weizhong Zhang Cheng Jin 3DPC 109 1 0 25 Apr 2024
Scaling (Down) CLIP: A Comprehensive Analysis of Data, Architecture, and Training Strategies Zichao Li Cihang Xie E. D. Cubuk CLIP 81 9 0 12 Apr 2024
Persistent Classification: A New Approach to Stability of Data and Adversarial Examples Brian Bell Michael Geyer David Glickenstein Keaton Hamm C. Scheidegger Amanda S. Fernandez Juston Moore AAML 89 1 0 11 Apr 2024
ImageNot: A contrast with ImageNet preserves model rankings Olawale Salaudeen Moritz Hardt VLM 56 7 0 02 Apr 2024
Predicting the Performance of Foundation Models via Agreement-on-the-Line Aman Mehra Rahul Saxena Taeyoun Kim Christina Baek Zico Kolter Aditi Raghunathan UQCV 90 2 0 02 Apr 2024
Can Biases in ImageNet Models Explain Generalization? Paul Gavrikov J. Keuper OOD VLM 67 15 0 01 Apr 2024
Machine Learning Robustness: A Primer Houssem Ben Braiek Foutse Khomh AAML OOD 106 8 0 01 Apr 2024
Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance G. Nam Byeongho Heo Juho Lee VLM 78 7 0 01 Apr 2024
Language Plays a Pivotal Role in the Object-Attribute Compositional Generalization of CLIP Reza Abbasi Mohammad Samiei M. Rohban M. Baghshah VLM CoGe 72 0 0 27 Mar 2024
Predictive Inference in Multi-environment Scenarios John C. Duchi Suyash Gupta Kuanhao Jiang Pragya Sur 66 6 0 25 Mar 2024
Controlled Training Data Generation with Diffusion Models Teresa Yeo Andrei Atanov Harold Benoit Aleksandr Alekseev Ruchira Ray Pooya Esmaeil Akhoondi Amir Zamir 114 6 0 22 Mar 2024
Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images Chaoqin Huang Aofan Jiang Jinghao Feng Ya Zhang Xinchao Wang Yanfeng Wang MedIm 87 36 0 19 Mar 2024
Investigating the Benefits of Projection Head for Representation Learning Yihao Xue Eric Gan Jiayi Ni Siddharth Joshi Baharan Mirzasoleiman 94 14 0 18 Mar 2024
Model Reprogramming Outperforms Fine-tuning on Out-of-distribution Data in Text-Image Encoders Andrew Geng Pin-Yu Chen OODD 87 1 0 16 Mar 2024
Benchmarking Zero-Shot Robustness of Multimodal Foundation Models: A Pilot Study Chenguang Wang Ruoxi Jia Xin Liu Dawn Song VLM 85 8 0 15 Mar 2024
(Beyond) Reasonable Doubt: Challenges that Public Defenders Face in Scrutinizing AI in Court Angela Jin Niloufar Salehi ELM 78 2 0 13 Mar 2024
Ask Your Distribution Shift if Pre-Training is Right for You Benjamin Cohen-Wang Joshua Vendrow Aleksander Madry OOD 102 3 0 29 Feb 2024
Lifelong Benchmarks: Efficient Model Evaluation in an Era of Rapid Progress Ameya Prabhu Vishaal Udandarao Philip Torr Matthias Bethge Adel Bibi Samuel Albanie 99 3 0 29 Feb 2024
Spurious Correlations in Machine Learning: A Survey Wenqian Ye Guangtao Zheng Xu Cao Yunsheng Ma Aidong Zhang OOD AAML CML 131 44 0 20 Feb 2024
Improving Black-box Robustness with In-Context Rewriting Kyle O'Brien Nathan Ng Isha Puri Jorge Mendez Hamid Palangi Yoon Kim Marzyeh Ghassemi Tom Hartvigsen 110 7 0 13 Feb 2024
A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP) Weijie Tu Weijian Deng Tom Gedeon UQCV VLM 78 35 0 12 Feb 2024
Locally-Adaptive Quantization for Streaming Vector Search Cecilia Aguerrebere Mark Hildebrand Ishwar Bhati Ted Willke Mariano Tepper 94 12 0 03 Feb 2024
Mission Critical -- Satellite Data is a Distinct Modality in Machine Learning Esther Rolf Konstantin Klemmer Caleb Robinson Hannah Kerner 86 41 0 02 Feb 2024
AutoFT: Learning an Objective for Robust Fine-Tuning Caroline Choi Yoonho Lee Annie S. Chen Allan Zhou Aditi Raghunathan Chelsea Finn OOD 115 0 0 18 Jan 2024
Effective pruning of web-scale datasets based on complexity of concept clusters Amro Abbas E. Rusak Kushal Tirumala Wieland Brendel Kamalika Chaudhuri Ari S. Morcos VLM CLIP 86 23 0 09 Jan 2024
LIP-Loc: LiDAR Image Pretraining for Cross-Modal Localization Sai Shubodh Puligilla Mohammad Omama Husain Zaidi Udit Singh Parihar Madhava Krishna 85 14 0 27 Dec 2023
A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models Julio Silva-Rodríguez Sina Hajimiri Ismail Ben Ayed Jose Dolz VLM 71 34 0 20 Dec 2023
Robustness of Deep Learning for Accelerated MRI: Benefits of Diverse Training Data Kang Lin Reinhard Heckel OOD 74 6 0 16 Dec 2023
SeiT++: Masked Token Modeling Improves Storage-efficient Training Min-Seob Lee Song Park Byeongho Heo Dongyoon Han Hyunjung Shim MQ VLM 78 1 0 15 Dec 2023
Reliability in Semantic Segmentation: Can We Use Synthetic Data? Thibaut Loiseau Tuan-Hung Vu Mickaël Chen Patrick Pérez Matthieu Cord UQCV 89 15 0 14 Dec 2023
On a Foundation Model for Operating Systems Divyanshu Saxena Nihal Sharma Donghyun Kim Rohit Dwivedula Jiayi Chen ... Alex Dimakis P. B. Godfrey Daehyeok Kim Chris Rossbach Gang Wang 66 2 0 13 Dec 2023
Enhancing Robustness of Foundation Model Representations under Provenance-related Distribution Shifts Xiruo Ding Zhecheng Sheng Brian Hur Feng Chen Serguei V. S. Pakhomov Trevor Cohen OOD 50 0 0 09 Dec 2023
TEA: Test-time Energy Adaptation Yige Yuan Bingbing Xu Liang Hou Fei Sun Huawei Shen Xueqi Cheng TTA VLM 85 11 0 24 Nov 2023
Geometric Data Augmentations to Mitigate Distribution Shifts in Pollen Classification from Microscopic Images Nam Cao O. Saukh 83 2 0 18 Nov 2023
Whispers of Doubt Amidst Echoes of Triumph in NLP Robustness Ashim Gupta Rishanth Rajendhran Nathan Stringham Vivek Srikumar Ana Marasović AAML 90 3 0 16 Nov 2023
Training CLIP models on Data from Scientific Papers Calvin Metzger VLM CLIP 49 2 0 08 Nov 2023
Detecting Spurious Correlations via Robust Visual Concepts in Real and AI-Generated Image Classification Preetam Prabhu Srikar Dammu Chirag Shah 81 2 0 03 Nov 2023
Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models Andy Zhou Jindong Wang Yu-Xiong Wang Haohan Wang VLM 105 6 0 02 Nov 2023
Distil-Whisper: Robust Knowledge Distillation via Large-Scale Pseudo Labelling Sanchit Gandhi Patrick von Platen Alexander M. Rush VLM 100 64 0 01 Nov 2023