A Fine-Grained Analysis on Distribution Shift

21 October 2021

Olivia Wiles

Sven Gowal

Florian Stimberg

Sylvestre-Alvise Rebuffi

Ira Ktena

Krishnamurthy Dvijotham

A. Cemgil

OOD

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Papers citing "A Fine-Grained Analysis on Distribution Shift"

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Title
Generalizable Image Repair for Robust Visual Autonomous Racing Carson Sobolewski Zhenjiang Mao Kshitij Vejre Ivan Ruchkin 52 0 0 07 Mar 2025
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
Fast Training Data Acquisition for Object Detection and Segmentation using Black Screen Luminance Keying Thomas Pollabauer Volker Knauthe André Boller Arjan Kuijper Dieter W. Fellner 35 3 0 13 May 2024
HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain Generalization Guanglin Zhou Zhongyi Han Shiming Chen Biwei Huang Liming Zhu Tongliang Liu Lina Yao Kun Zhang 32 3 0 18 Jan 2024
Revisiting Knowledge Distillation under Distribution Shift Songming Zhang Ziyu Lyu Xiaofeng Chen 26 1 0 25 Dec 2023
No Representation Rules Them All in Category Discovery S. Vaze Andrea Vedaldi Andrew Zisserman OOD 34 31 0 28 Nov 2023
Gradual Domain Adaptation: Theory and Algorithms Yifei He Haoxiang Wang Bo Li Han Zhao CLL 49 5 0 20 Oct 2023
Improving Lens Flare Removal with General Purpose Pipeline and Multiple Light Sources Recovery Yuyan Zhou Dong Liang Songcan Chen Shengjian Huang Shuo Yang Chongyi Li 30 13 0 31 Aug 2023
Large Language Models and Foundation Models in Smart Agriculture: Basics, Opportunities, and Challenges Jiajia Li Mingle Xu Lirong Xiang Dong Chen Weichao Zhuang Xunyuan Yin Zhao Li 25 3 0 13 Aug 2023
Unraveling the Interconnected Axes of Heterogeneity in Machine Learning for Democratic and Inclusive Advancements Maryam Molamohammadi Afaf Taik Nicolas Le Roux G. Farnadi 29 1 0 11 Jun 2023
Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach Zhimeng Jiang Xiaotian Han Hongye Jin Guanchu Wang Rui Chen Na Zou Xia Hu 12 13 0 06 Mar 2023
Adaptive Sampling for Probabilistic Forecasting under Distribution Shift Luca Masserano Syama Sundar Rangapuram Shubham Kapoor Rajbir-Singh Nirwan Youngsuk Park Michael Bohlke-Schneider TTA AI4TS 26 2 0 23 Feb 2023
Beyond Distribution Shift: Spurious Features Through the Lens of Training Dynamics Nihal Murali A. Puli Ke Yu Rajesh Ranganath Kayhan Batmanghelich AAML 37 7 0 18 Feb 2023
Generalization on the Unseen, Logic Reasoning and Degree Curriculum Emmanuel Abbe Samy Bengio Aryo Lotfi Kevin Rizk LRM 33 48 0 30 Jan 2023
Benchmarking Robustness to Adversarial Image Obfuscations Florian Stimberg Ayan Chakrabarti Chun-Ta Lu Hussein Hazimeh Otilia Stretcu ... Merve Kaya Cyrus Rashtchian Ariel Fuxman Mehmet Tek Sven Gowal AAML 24 10 0 30 Jan 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey Guanglin Zhou Shaoan Xie Guang-Yuan Hao Shiming Chen Biwei Huang Xiwei Xu Chen Wang Liming Zhu Lina Yao Kun Zhang AI4CE 50 11 0 29 Jan 2023
Improving group robustness under noisy labels using predictive uncertainty Dongpin Oh Dae Lee Jeunghyun Byun Bonggun Shin UQCV 18 3 0 14 Dec 2022
Addressing Distribution Shift at Test Time in Pre-trained Language Models Ayush Singh J. Ortega VLM 16 4 0 05 Dec 2022
Task Discovery: Finding the Tasks that Neural Networks Generalize on Andrei Atanov Andrei Filatov Teresa Yeo Ajay Sohmshetty Amir Zamir OOD 40 10 0 01 Dec 2022
Beyond Ensemble Averages: Leveraging Climate Model Ensembles for Subseasonal Forecasting Elena Orlova Haokun Liu Raphael Rossellini B. Cash Rebecca Willett 24 3 0 29 Nov 2022
A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification Paul F. Jaeger Carsten T. Lüth Lukas Klein Till J. Bungert UQCV 26 35 0 28 Nov 2022
Deep Learning-Based Prediction of Molecular Tumor Biomarkers from H&E: A Practical Review Heather D. Couture 37 20 0 27 Nov 2022
ActMAD: Activation Matching to Align Distributions for Test-Time-Training M. Jehanzeb Mirza Pol Jané Soneira W. Lin Mateusz Koziñski Horst Possegger Horst Bischof VLM TTA 31 24 0 23 Nov 2022
Okapi: Generalising Better by Making Statistical Matches Match Myles Bartlett Sara Romiti V. Sharmanska Novi Quadrianto 37 3 0 07 Nov 2022
COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning Yue Yu Chenyan Xiong Si Sun Chao Zhang Arnold Overwijk VLM OOD 45 22 0 27 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 51 197 0 20 Oct 2022
Operationalizing Machine Learning: An Interview Study Shreya Shankar Rolando Garcia J. M. Hellerstein Aditya G. Parameswaran 65 51 0 16 Sep 2022
Task-Agnostic Learning to Accomplish New Tasks Xianqi Zhang Xingtao Wang Xu Liu Wenrui Wang Xiaopeng Fan Debin Zhao OffRL 85 0 0 09 Sep 2022
Shortcut Learning of Large Language Models in Natural Language Understanding Mengnan Du Fengxiang He Na Zou Dacheng Tao Xia Hu KELM OffRL 28 83 0 25 Aug 2022
Equivariant Disentangled Transformation for Domain Generalization under Combination Shift Yivan Zhang Jindong Wang Xingxu Xie Masashi Sugiyama OOD 39 1 0 03 Aug 2022
Assaying Out-Of-Distribution Generalization in Transfer Learning F. Wenzel Andrea Dittadi Peter V. Gehler Carl-Johann Simon-Gabriel Max Horn ... Chris Russell Thomas Brox Bernt Schiele Bernhard Schölkopf Francesco Locatello OOD OODD AAML 51 71 0 19 Jul 2022
Vector Quantisation for Robust Segmentation Ainkaran Santhirasekaram Avinash Kori Mathias Winkler A. Rockall Ben Glocker OOD 19 9 0 05 Jul 2022
Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN Kuan Li Yang Liu Xiang Ao Jianfeng Chi Jinghua Feng Hao Yang Qing He AAML 38 63 0 30 Jun 2022
When Does Group Invariant Learning Survive Spurious Correlations? Yimeng Chen Ruibin Xiong Zhiming Ma Yanyan Lan OOD CML 19 20 0 29 Jun 2022
Online Learning with Bounded Recall Jon Schneider Kiran Vodrahalli 15 1 0 28 May 2022
A benchmark with decomposed distribution shifts for 360 monocular depth estimation G. Albanis N. Zioulis Petros Drakoulis Federico Álvarez D. Zarpalas P. Daras MDE 32 0 0 01 Dec 2021
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization Nanyang Ye Kaican Li Haoyue Bai Runpeng Yu Lanqing Hong Fengwei Zhou Zhenguo Li Jun Zhu CML OOD 37 106 0 07 Jun 2021
Domain adaptation under structural causal models Yuansi Chen Peter Buhlmann CML OOD AI4CE 31 38 0 29 Oct 2020
Deep Domain-Adversarial Image Generation for Domain Generalisation Kaiyang Zhou Yongxin Yang Timothy M. Hospedales Tao Xiang OOD 215 404 0 12 Mar 2020
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 178 313 0 07 Feb 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 320 4,203 0 23 Aug 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 276 10,348 0 12 Dec 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 311 11,681 0 09 Mar 2017