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Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals

24 March 2022

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Papers citing "Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals"

33 / 33 papers shown

Title
Faithful Counterfactual Visual Explanations (FCVE) Bismillah Khan Syed Ali Tariq Tehseen Zia Muhammad Ahsan David Windridge 72 1 0 12 Jan 2025
Improving Users' Mental Model with Attention-directed Counterfactual Edits Kamran Alipour Arijit Ray Xiaoyu Lin Michael Cogswell J. Schulze Yi Yao Giedrius Burachas OOD 61 9 0 13 Oct 2021
Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations Wouter Van Gansbeke Simon Vandenhende Stamatios Georgoulis Luc Van Gool SSL 106 65 0 10 Jun 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 711 6,127 0 29 Apr 2021
Explaining in Style: Training a GAN to explain a classifier in StyleSpace Oran Lang Yossi Gandelsman Michal Yarom Yoav Wald G. Elidan ... William T. Freeman Phillip Isola Amir Globerson Michal Irani Inbar Mosseri GAN 112 154 0 27 Apr 2021
Benchmarking Representation Learning for Natural World Image Collections Grant Van Horn Elijah Cole Sara Beery Kimberly Wilber Serge J. Belongie Oisin Mac Aodha SSL VLM 74 177 0 30 Mar 2021
Explaining the Black-box Smoothly- A Counterfactual Approach Junyu Chen Yong Du Yufan He W. Paul Segars Ye Li MedIm FAtt 110 101 0 11 Jan 2021
Who Left the Dogs Out? 3D Animal Reconstruction with Expectation Maximization in the Loop Benjamin Biggs Oliver Boyne James Charles Andrew Fitzgibbon R. Cipolla 3DV 3DH 85 104 0 21 Jul 2020
Concept Bottleneck Models Pang Wei Koh Thao Nguyen Y. S. Tang Stephen Mussmann Emma Pierson Been Kim Percy Liang 99 833 0 09 Jul 2020
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin OCL SSL 261 4,098 0 17 Jun 2020
SCAN: Learning to Classify Images without Labels Wouter Van Gansbeke Simon Vandenhende Stamatios Georgoulis Marc Proesmans Luc Van Gool VLM SSL 113 540 0 25 May 2020
SCOUT: Self-aware Discriminant Counterfactual Explanations Pei Wang Nuno Vasconcelos FAtt 50 82 0 16 Apr 2020
There and Back Again: Revisiting Backpropagation Saliency Methods Sylvestre-Alvise Rebuffi Ruth C. Fong Xu Ji Andrea Vedaldi FAtt XAI 68 113 0 06 Apr 2020
Analyzing and Improving the Image Quality of StyleGAN Tero Karras S. Laine M. Aittala Janne Hellsten J. Lehtinen Timo Aila GAN 314 5,828 0 03 Dec 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 213 12,124 0 13 Nov 2019
Self-labelling via simultaneous clustering and representation learning Yuki M. Asano Christian Rupprecht Andrea Vedaldi SSL 123 777 0 13 Nov 2019
Fooling LIME and SHAP: Adversarial Attacks on Post hoc Explanation Methods Dylan Slack Sophie Hilgard Emily Jia Sameer Singh Himabindu Lakkaraju FAtt AAML MLAU 79 821 0 06 Nov 2019
Counterfactual Visual Explanations Yash Goyal Ziyan Wu Jan Ernst Dhruv Batra Devi Parikh Stefan Lee CML 80 512 0 16 Apr 2019
Sanity Checks for Saliency Maps Julius Adebayo Justin Gilmer M. Muelly Ian Goodfellow Moritz Hardt Been Kim FAtt AAML XAI 148 1,969 0 08 Oct 2018
RISE: Randomized Input Sampling for Explanation of Black-box Models Vitali Petsiuk Abir Das Kate Saenko FAtt 181 1,176 0 19 Jun 2018
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination Zhirong Wu Yuanjun Xiong Stella X. Yu Dahua Lin SSL 182 3,466 0 05 May 2018
Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives Amit Dhurandhar Pin-Yu Chen Ronny Luss Chun-Chen Tu Pai-Shun Ting Karthikeyan Shanmugam Payel Das FAtt 124 591 0 21 Feb 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 227 1,850 0 30 Nov 2017
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR Sandra Wachter Brent Mittelstadt Chris Russell MLAU 129 2,361 0 01 Nov 2017
Explanation in Artificial Intelligence: Insights from the Social Sciences Tim Miller XAI 250 4,273 0 22 Jun 2017
Real Time Image Saliency for Black Box Classifiers P. Dabkowski Y. Gal 70 592 0 22 May 2017
Interpretable Explanations of Black Boxes by Meaningful Perturbation Ruth C. Fong Andrea Vedaldi FAtt AAML 76 1,525 0 11 Apr 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 193 6,018 0 04 Mar 2017
Not Just a Black Box: Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Shcherbina A. Kundaje FAtt 85 791 0 05 May 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 17,033 0 16 Feb 2016
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 253 9,338 0 14 Dec 2015
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 314 7,316 0 20 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 595 15,902 0 12 Nov 2013