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
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 J. J. Zhang 65 4 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 24 13 0 03 Jun 2024
Learning Invariant Causal Mechanism from Vision-Language Models Zeen Song Siyu Zhao Xingyu Zhang Jiangmeng Li Changwen Zheng Wenwen Qiang CML BDL VLM 47 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 41 3 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 46 2 0 21 May 2024
Robust Fine-tuning for Pre-trained 3D Point Cloud Models Zhibo Zhang Ximing Yang Weizhong Zhang Cheng Jin 3DPC 41 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 34 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 44 0 0 11 Apr 2024
ImageNot: A contrast with ImageNet preserves model rankings Olawale Salaudeen Moritz Hardt VLM 34 6 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 49 1 0 02 Apr 2024
Can Biases in ImageNet Models Explain Generalization? Paul Gavrikov J. Keuper OOD VLM 34 12 0 01 Apr 2024
Machine Learning Robustness: A Primer Houssem Ben Braiek Foutse Khomh AAML OOD 39 5 0 01 Apr 2024
Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance G. Nam Byeongho Heo Juho Lee VLM 42 6 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 30 0 0 27 Mar 2024
Predictive Inference in Multi-environment Scenarios John C. Duchi Suyash Gupta Kuanhao Jiang Pragya Sur 29 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 47 4 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 45 25 0 19 Mar 2024
Investigating the Benefits of Projection Head for Representation Learning Yihao Xue Eric Gan Jiayi Ni Siddharth Joshi Baharan Mirzasoleiman 49 10 0 18 Mar 2024
Model Reprogramming Outperforms Fine-tuning on Out-of-distribution Data in Text-Image Encoders Andrew Geng Pin-Yu Chen OODD 19 0 0 16 Mar 2024
Benchmarking Zero-Shot Robustness of Multimodal Foundation Models: A Pilot Study Chenguang Wang Ruoxi Jia Xin Liu Dawn Song VLM 29 7 0 15 Mar 2024
(Beyond) Reasonable Doubt: Challenges that Public Defenders Face in Scrutinizing AI in Court Angela Jin Niloufar Salehi ELM 36 2 0 13 Mar 2024
Ask Your Distribution Shift if Pre-Training is Right for You Benjamin Cohen-Wang Joshua Vendrow Aleksander Madry OOD 29 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 39 35 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 52 6 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 20 33 0 12 Feb 2024
Locally-Adaptive Quantization for Streaming Vector Search Cecilia Aguerrebere Mark Hildebrand Ishwar Bhati Ted Willke Mariano Tepper 13 10 0 03 Feb 2024
Mission Critical -- Satellite Data is a Distinct Modality in Machine Learning Esther Rolf Konstantin Klemmer Caleb Robinson Hannah Kerner 36 36 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 52 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 34 22 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 35 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 26 27 0 20 Dec 2023
Robustness of Deep Learning for Accelerated MRI: Benefits of Diverse Training Data Kang Lin Reinhard Heckel OOD 35 5 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 26 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 34 12 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 47 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 23 0 0 09 Dec 2023
TEA: Test-time Energy Adaptation Yige Yuan Bingbing Xu Liang Hou Fei Sun Huawei Shen Xueqi Cheng TTA VLM 34 9 0 24 Nov 2023
Geometric Data Augmentations to Mitigate Distribution Shifts in Pollen Classification from Microscopic Images Nam Cao O. Saukh 29 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 31 3 0 16 Nov 2023
Training CLIP models on Data from Scientific Papers Calvin Metzger VLM CLIP 24 1 0 08 Nov 2023
Detecting Spurious Correlations via Robust Visual Concepts in Real and AI-Generated Image Classification Preetam Prabhu Srikar Dammu Chirag Shah 43 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 52 6 0 02 Nov 2023
Distil-Whisper: Robust Knowledge Distillation via Large-Scale Pseudo Labelling Sanchit Gandhi Patrick von Platen Alexander M. Rush VLM 27 52 0 01 Nov 2023
Addressing Weak Decision Boundaries in Image Classification by Leveraging Web Search and Generative Models Preetam Prabhu Srikar Dammu Yunhe Feng Chirag Shah 22 1 0 30 Oct 2023
Bridging Distributionally Robust Learning and Offline RL: An Approach to Mitigate Distribution Shift and Partial Data Coverage Kishan Panaganti Zaiyan Xu D. Kalathil Mohammad Ghavamzadeh OOD OffRL 34 6 0 27 Oct 2023
Machine Learning and Knowledge: Why Robustness Matters Jonathan Vandenburgh OOD 34 1 0 23 Oct 2023
Semantic and Expressive Variation in Image Captions Across Languages Andre Ye Sebastin Santy Jena D. Hwang Amy X. Zhang Ranjay Krishna VLM 61 3 0 22 Oct 2023
OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift Lin Li Yifei Wang Chawin Sitawarin Michael W. Spratling 28 0 0 19 Oct 2023
Visual Data-Type Understanding does not emerge from Scaling Vision-Language Models Vishaal Udandarao Max F. Burg Samuel Albanie Matthias Bethge VLM 36 9 0 12 Oct 2023
Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models Beier Zhu Kaihua Tang Qianru Sun Hanwang Zhang 30 21 0 12 Oct 2023