Model Patching: Closing the Subgroup Performance Gap with Data Augmentation

15 August 2020

Papers citing "Model Patching: Closing the Subgroup Performance Gap with Data Augmentation"

50 / 141 papers shown

Title
What You See is What You Get: Principled Deep Learning via Distributional GeneralizationNeural Information Processing Systems (NeurIPS), 2022 B. Kulynych Yao-Yuan Yang Yaodong Yu Jarosław Błasiok Preetum Nakkiran OOD 206 11 0 07 Apr 2022
Representation Bias in Data: A Survey on Identification and Resolution TechniquesACM Computing Surveys (ACM CSUR), 2022 N. Shahbazi Yin Lin Abolfazl Asudeh H. V. Jagadish 160 103 0 22 Mar 2022
Are Vision Transformers Robust to Spurious Correlations?International Journal of Computer Vision (IJCV), 2022 Soumya Suvra Ghosal Yifei Ming Shouqing Yang ViT 132 41 0 17 Mar 2022
Adversarial Counterfactual Augmentation: Application in Alzheimer's Disease ClassificationFrontiers in Radiology (Front. Radiol.), 2022 Tian Xia Pedro Sanchez C. Qin Sotirios A. Tsaftaris OOD MedIm 147 13 0 15 Mar 2022
DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery -- A Focus on Affinity Prediction Problems with Noise Annotations Yuanfeng Ji Jun Liu Jiaxiang Wu Bing Wu Long-Kai Huang ... Ping Luo Shuigeng Zhou Junzhou Huang Peilin Zhao Yatao Bian OOD 174 84 0 24 Jan 2022
Improving Out-of-Distribution Robustness via Selective AugmentationInternational Conference on Machine Learning (ICML), 2022 Huaxiu Yao Yu Wang Sai Li Linjun Zhang Weixin Liang James Zou Chelsea Finn OOD OODD 252 249 0 02 Jan 2022
BARACK: Partially Supervised Group Robustness With Guarantees N. Sohoni Maziar Sanjabi Nicolas Ballas Aditya Grover Shaoliang Nie Hamed Firooz Christopher Ré OOD 190 28 0 31 Dec 2021
Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective Steven Euijong Whang Yuji Roh Hwanjun Song Jae-Gil Lee 148 419 0 13 Dec 2021
The Effect of Model Size on Worst-Group Generalization Alan Pham Eunice Chan V. Srivatsa Dhruba Ghosh Yaoqing Yang Yaodong Yu Ruiqi Zhong Joseph E. Gonzalez Jacob Steinhardt 110 5 0 08 Dec 2021
Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models Guilherme Pombo Robert J. Gray M. Jorge Cardoso Sebastien Ourselin G. Rees John Ashburner P. Nachev 132 39 0 29 Nov 2021
Combating Unknown Bias with Effective Bias-Conflicting Scoring and Gradient Alignment Bowen Zhao Chen Chen Qian-Wei Wang Anfeng He Shutao Xia 98 10 0 25 Nov 2021
Combining Data-driven Supervision with Human-in-the-loop Feedback for Entity Resolution Wenpeng Yin Shelby Heinecke Jia Li N. Keskar Michael J. Jones Shouzhong Shi Stanislav Georgiev Kurt Milich Joseph Esposito Caiming Xiong 75 2 0 20 Nov 2021
A Fine-Grained Analysis on Distribution ShiftInternational Conference on Learning Representations (ICLR), 2021 Olivia Wiles Sven Gowal Florian Stimberg Sylvestre-Alvise Rebuffi Ira Ktena Krishnamurthy Dvijotham A. Cemgil OOD 447 236 0 21 Oct 2021
Focus on the Common Good: Group Distributional Robustness Follows Vihari Piratla Praneeth Netrapalli Sunita Sarawagi OOD 143 29 0 06 Oct 2021
Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training DebiasingInternational Conference on Information and Knowledge Management (CIKM), 2021 Sindhu C. M. Gowda Shalmali Joshi Haoran Zhang Marzyeh Ghassemi CML 126 8 0 27 Aug 2021
BiaSwap: Removing dataset bias with bias-tailored swapping augmentationIEEE International Conference on Computer Vision (ICCV), 2021 Eungyeup Kim Jihyeon Janel Lee Jaegul Choo 130 96 0 23 Aug 2021
Managing ML Pipelines: Feature Stores and the Coming Wave of Embedding EcosystemsProceedings of the VLDB Endowment (PVLDB), 2021 Laurel J. Orr Atindriyo Sanyal Xiao Ling Karan Goel Megan Leszczynski 99 20 0 11 Aug 2021
Just Train Twice: Improving Group Robustness without Training Group InformationInternational Conference on Machine Learning (ICML), 2021 Emmy Liu Behzad Haghgoo Annie S. Chen Aditi Raghunathan Pang Wei Koh Shiori Sagawa Abigail Z. Jacobs Chelsea Finn OOD 211 622 0 19 Jul 2021
Out-of-distribution Generalization in the Presence of Nuisance-Induced Spurious CorrelationsInternational Conference on Learning Representations (ICLR), 2021 A. Puli Lily H. Zhang Eric K. Oermann Rajesh Ranganath OOD OODD 138 51 0 29 Jun 2021
Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions Xuefeng Du Tian Bian Yu Rong Bo Han Tongliang Liu Qifeng Bai Wenbing Huang Shouqing Yang Junzhou Huang NoLa 141 19 0 14 Jun 2021
Robust Representation Learning via Perceptual Similarity MetricsInternational Conference on Machine Learning (ICML), 2021 Saeid Asgari Taghanaki Kristy Choi Amir Khasahmadi Anirudh Goyal SSL 108 29 0 11 Jun 2021
Learning Domain Invariant Representations by Joint Wasserstein Distance MinimizationNeural Networks (NN), 2021 Léo Andéol Yusei Kawakami Yuichiro Wada Takafumi Kanamori K. Müller G. Montavon OOD 158 8 0 09 Jun 2021
Finding and Fixing Spurious Patterns with Explanations Gregory Plumb Marco Tulio Ribeiro Ameet Talwalkar 245 44 0 03 Jun 2021
WILDS: A Benchmark of in-the-Wild Distribution ShiftsInternational Conference on Machine Learning (ICML), 2020 Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Abigail Z. Jacobs OOD 522 1,592 0 14 Dec 2020
Differences between human and machine perception in medical diagnosisScientific Reports (Sci Rep), 2020 Taro Makino Stanislaw Jastrzebski Witold Oleszkiewicz Celin Chacko Robin Ehrenpreis ... D. Sodickson Laura Heacock Linda Moy Kyunghyun Cho Krzysztof J. Geras AAML 118 29 0 28 Nov 2020
Latent Adversarial Debiasing: Mitigating Collider Bias in Deep Neural Networks L. N. Darlow Stanisław Jastrzębski Amos Storkey 160 25 0 19 Nov 2020
Achieving Robustness in the Wild via Adversarial Mixing with Disentangled RepresentationsComputer Vision and Pattern Recognition (CVPR), 2019 Sven Gowal Chongli Qin Po-Sen Huang taylan. cemgil Krishnamurthy Dvijotham Timothy A. Mann Pushmeet Kohli AAML OOD 178 59 0 06 Dec 2019
AugMix: A Simple Data Processing Method to Improve Robustness and UncertaintyInternational Conference on Learning Representations (ICLR), 2019 Dan Hendrycks Norman Mu E. D. Cubuk Barret Zoph Justin Gilmer Balaji Lakshminarayanan OOD UQCV 483 1,447 0 05 Dec 2019
StarGAN v2: Diverse Image Synthesis for Multiple DomainsComputer Vision and Pattern Recognition (CVPR), 2019 Yunjey Choi Youngjung Uh Jaejun Yoo Jung-Woo Ha 3DH 436 1,897 0 04 Dec 2019
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization Shiori Sagawa Pang Wei Koh Tatsunori B. Hashimoto Abigail Z. Jacobs OOD 181 1,396 0 20 Nov 2019
Learning Data Manipulation for Augmentation and WeightingNeural Information Processing Systems (NeurIPS), 2019 Zhiting Hu Bowen Tan Ruslan Salakhutdinov Tom Michael Mitchell Eric Xing 124 124 0 28 Oct 2019
Interpretations are useful: penalizing explanations to align neural networks with prior knowledgeInternational Conference on Machine Learning (ICML), 2019 Laura Rieger Chandan Singh W. James Murdoch Bin Yu FAtt 200 234 0 30 Sep 2019
Adversarial Learning of General Transformations for Data Augmentation Saypraseuth Mounsaveng David Vazquez Ismail Ben Ayed M. Pedersoli 74 11 0 21 Sep 2019
Invariant Risk Minimization Martín Arjovsky Léon Bottou Ishaan Gulrajani David Lopez-Paz OOD 607 2,456 0 05 Jul 2019
Learning Data Augmentation Strategies for Object DetectionEuropean Conference on Computer Vision (ECCV), 2019 Barret Zoph E. D. Cubuk Golnaz Ghiasi Nayeon Lee Jonathon Shlens Quoc V. Le 148 570 0 26 Jun 2019
SemanticAdv: Generating Adversarial Examples via Attribute-conditional Image EditingEuropean Conference on Computer Vision (ECCV), 2019 Haonan Qiu Chaowei Xiao Lei Yang Xinchen Yan Honglak Lee Yue Liu AAML 211 189 0 19 Jun 2019
MNIST-C: A Robustness Benchmark for Computer Vision Norman Mu Justin Gilmer 128 229 0 05 Jun 2019
Population Based Augmentation: Efficient Learning of Augmentation Policy SchedulesInternational Conference on Machine Learning (ICML), 2019 Daniel Ho Eric Liang Ion Stoica Pieter Abbeel Xi Chen 147 426 0 14 May 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable FeaturesIEEE International Conference on Computer Vision (ICCV), 2019 Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 1.3K 5,352 0 13 May 2019
MixMatch: A Holistic Approach to Semi-Supervised LearningNeural Information Processing Systems (NeurIPS), 2019 David Berthelot Nicholas Carlini Ian Goodfellow Nicolas Papernot Avital Oliver Colin Raffel 358 3,280 0 06 May 2019
Fast AutoAugmentNeural Information Processing Systems (NeurIPS), 2019 Sungbin Lim Ildoo Kim Taesup Kim Chiheon Kim Sungwoong Kim 252 641 0 01 May 2019
Unsupervised Data Augmentation for Consistency TrainingNeural Information Processing Systems (NeurIPS), 2019 Qizhe Xie Zihang Dai Eduard H. Hovy Minh-Thang Luong Quoc V. Le 451 2,491 0 29 Apr 2019
(De)Constructing Bias on Skin Lesion Datasets Alceu Bissoto Michel Fornaciali Eduardo Valle Sandra Avila 118 78 0 18 Apr 2019
Synthetic Examples Improve Generalization for Rare Classes Sara Beery Yang Liu Dan Morris Jim Piavis Ashish Kapoor M. Meister Neel Joshi Pietro Perona 169 103 0 11 Apr 2019
Generative Models For Deep Learning with Very Scarce DataIberoamerican Congress on Pattern Recognition (CIARP), 2018 J. Molano Roberto Paredes Palacios D. Ramos-Castro 69 6 0 21 Mar 2019
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification TasksConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 Jason W. Wei Kai Zou 518 2,119 0 31 Jan 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 1.3K 11,701 0 12 Dec 2018
Robustness via curvature regularization, and vice versaComputer Vision and Pattern Recognition (CVPR), 2018 Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi J. Uesato P. Frossard AAML 166 324 0 23 Nov 2018
GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks Christopher Bowles Liang Chen Ricardo Guerrero P. Bentley R. Gunn A. Hammers D. A. Dickie M. V. Valdés Hernández Joanna M. Wardlaw Daniel Rueckert GAN MedIm 150 457 0 25 Oct 2018
On the Importance of Visual Context for Data Augmentation in Scene Understanding Nikita Dvornik Julien Mairal Cordelia Schmid 140 89 0 06 Sep 2018