Identifying Spurious Correlations using Counterfactual Alignment

1 December 2023

Papers citing "Identifying Spurious Correlations using Counterfactual Alignment"

33 / 33 papers shown

Title
FLAC: Fairness-Aware Representation Learning by Suppressing Attribute-Class Associations Ioannis Sarridis C. Koutlis Symeon Papadopoulos Christos Diou 56 9 0 27 Apr 2023
RoentGen: Vision-Language Foundation Model for Chest X-ray Generation Pierre J. Chambon Christian Blüthgen Jean-Benoit Delbrouck Rogier van der Sluijs M. Polacin Juan Manuel Zambrano Chaves Tanishq Mathew Abraham Shivanshu Purohit C. Langlotz Akshay S. Chaudhari LM&MA DiffM MedIm 54 102 0 23 Nov 2022
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time Mitchell Wortsman Gabriel Ilharco S. Gadre Rebecca Roelofs Raphael Gontijo-Lopes ... Hongseok Namkoong Ali Farhadi Y. Carmon Simon Kornblith Ludwig Schmidt MoMe 108 953 1 10 Mar 2022
Just Train Twice: Improving Group Robustness without Training Group Information Emmy Liu Behzad Haghgoo Annie S. Chen Aditi Raghunathan Pang Wei Koh Shiori Sagawa Percy Liang Chelsea Finn OOD 77 553 0 19 Jul 2021
Matched sample selection with GANs for mitigating attribute confounding Chandan Singh Guha Balakrishnan Pietro Perona GAN 27 6 0 24 Mar 2021
Using StyleGAN for Visual Interpretability of Deep Learning Models on Medical Images K. Schutte O. Moindrot P. Hérent Jean-Baptiste Schiratti S. Jégou FAtt MedIm 105 61 0 19 Jan 2021
Explaining the Black-box Smoothly- A Counterfactual Approach Junyu Chen Yong Du Yufan He W. Paul Segars Ye Li MedIm FAtt 92 101 0 11 Jan 2021
Taming Transformers for High-Resolution Image Synthesis Patrick Esser Robin Rombach Bjorn Ommer ViT 97 2,890 0 17 Dec 2020
Latent-CF: A Simple Baseline for Reverse Counterfactual Explanations R. Balasubramanian Samuel Sharpe Brian Barr J. Wittenbach C. Bayan Bruss BDL 14 18 0 16 Dec 2020
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review Sahil Verma Varich Boonsanong Minh Hoang Keegan E. Hines John P. Dickerson Chirag Shah CML 56 169 0 20 Oct 2020
Captum: A unified and generic model interpretability library for PyTorch Narine Kokhlikyan Vivek Miglani Miguel Martin Edward Wang B. Alsallakh ... Alexander Melnikov Natalia Kliushkina Carlos Araya Siqi Yan Orion Reblitz-Richardson FAtt 116 829 0 16 Sep 2020
Towards causal benchmarking of bias in face analysis algorithms Guha Balakrishnan Yuanjun Xiong Wei Xia Pietro Perona CVBM 47 90 0 13 Jul 2020
Shortcut Learning in Deep Neural Networks Robert Geirhos J. Jacobsen Claudio Michaelis R. Zemel Wieland Brendel Matthias Bethge Felix Wichmann 184 2,023 0 16 Apr 2020
Plausible Counterfactuals: Auditing Deep Learning Classifiers with Realistic Adversarial Examples Alejandro Barredo Arrieta Javier Del Ser AAML 78 22 0 25 Mar 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 284 921 0 02 Mar 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 274 42,038 0 03 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 Percy Liang OOD 62 1,229 0 20 Nov 2019
Interpretations are useful: penalizing explanations to align neural networks with prior knowledge Laura Rieger Chandan Singh W. James Murdoch Bin Yu FAtt 68 213 0 30 Sep 2019
Branched Multi-Task Networks: Deciding What Layers To Share Simon Vandenhende Stamatios Georgoulis Bert De Brabandere Luc Van Gool 54 145 0 05 Apr 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 508 10,500 0 12 Dec 2018
Recognition in Terra Incognita Sara Beery Grant Van Horn Pietro Perona 68 835 0 13 Jul 2018
xGEMs: Generating Examplars to Explain Black-Box Models Shalmali Joshi Oluwasanmi Koyejo Been Kim Joydeep Ghosh MLAU 42 40 0 22 Jun 2018
Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV) Been Kim Martin Wattenberg Justin Gilmer Carrie J. Cai James Wexler F. Viégas Rory Sayres FAtt 164 1,828 0 30 Nov 2017
Visual Feature Attribution using Wasserstein GANs Christian F. Baumgartner Lisa M. Koch K. Tezcan Jia Xi Ang E. Konukoglu GAN MedIm 70 145 0 24 Nov 2017
Progressive Growing of GANs for Improved Quality, Stability, and Variation Tero Karras Timo Aila S. Laine J. Lehtinen GAN 105 7,318 0 27 Oct 2017
Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations A. Ross M. C. Hughes Finale Doshi-Velez FAtt 108 585 0 10 Mar 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 122 5,920 0 04 Mar 2017
Understanding intermediate layers using linear classifier probes Guillaume Alain Yoshua Bengio FAtt 94 923 0 05 Oct 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 587 16,828 0 16 Feb 2016
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 181 4,653 0 21 Dec 2014
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 212 8,351 0 28 Nov 2014
Conditional Generative Adversarial Nets M. Berk Mirza Simon Osindero GAN SyDa AI4CE 210 10,365 0 06 Nov 2014
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 194 7,252 0 20 Dec 2013