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Global Counterfactual Directions

18 April 2024

Papers citing "Global Counterfactual Directions"

50 / 75 papers shown

Title
Discovering Concept Directions from Diffusion-based Counterfactuals via Latent Clustering Payal Varshney Adriano Lucieri Christoph Balada Andreas Dengel Sheraz Ahmed DiffM 139 0 0 11 May 2025
Unifying Image Counterfactuals and Feature Attributions with Latent-Space Adversarial Attacks Jeremy Goldwasser Giles Hooker AAML 80 0 0 21 Apr 2025
DiffEx: Explaining a Classifier with Diffusion Models to Identify Microscopic Cellular Variations Anis Bourou Saranga Kingkor Mahanta Thomas Boyer Valérie Mezger Auguste Genovesio MedIm 63 0 0 12 Feb 2025
GIFT: A Framework for Global Interpretable Faithful Textual Explanations of Vision Classifiers Éloi Zablocki Valentin Gerard Amaia Cardiel Eric Gaussier Matthieu Cord Eduardo Valle 114 0 0 23 Nov 2024
Rethinking Visual Counterfactual Explanations Through Region Constraint Bartlomiej Sobieski Jakub Grzywaczewski Bartlomiej Sadlej Matthew Tivnan P. Biecek CML 62 1 0 16 Oct 2024
Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation Nina Weng Paraskevas Pegios Eike Petersen Aasa Feragen Siavash Bigdeli MedIm CML 47 10 0 21 Dec 2023
Be Careful When Evaluating Explanations Regarding Ground Truth Hubert Baniecki Maciej Chrabaszcz Andreas Holzinger Bastian Pfeifer Anna Saranti P. Biecek FAtt AAML 68 3 0 08 Nov 2023
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions Luca Longo Mario Brcic Federico Cabitza Jaesik Choi Roberto Confalonieri ... Andrés Páez Wojciech Samek Johannes Schneider Timo Speith Simone Stumpf 105 215 0 30 Oct 2023
Latent Diffusion Counterfactual Explanations Karim Farid Simon Schrodi Max Argus Thomas Brox DiffM 81 14 0 10 Oct 2023
Text-to-Image Models for Counterfactual Explanations: a Black-Box Approach Guillaume Jeanneret Loïc Simon Frédéric Jurie DiffM 70 12 0 14 Sep 2023
Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry Yong-Hyun Park Mingi Kwon J. Choi Junghyo Jo Youngjung Uh DiffM 98 68 0 24 Jul 2023
Llama 2: Open Foundation and Fine-Tuned Chat Models Hugo Touvron Louis Martin Kevin R. Stone Peter Albert Amjad Almahairi ... Sharan Narang Aurelien Rodriguez Robert Stojnic Sergey Edunov Thomas Scialom AI4MH ALM 305 11,894 0 18 Jul 2023
LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images Viraj Prabhu Sriram Yenamandra Prithvijit Chattopadhyay Judy Hoffman 64 41 0 30 May 2023
Segment Anything Model for Medical Image Analysis: an Experimental Study Maciej A. Mazurowski Haoyu Dong Han Gu Jichen Yang Nicholas Konz Yixin Zhang MedIm VLM 100 479 0 20 Apr 2023
Training-free Content Injection using h-space in Diffusion Models Jaeseok Jeong Mingi Kwon Youngjung Uh DiffM 74 28 0 27 Mar 2023
Discovering Interpretable Directions in the Semantic Latent Space of Diffusion Models René Haas Inbar Huberman-Spiegelglas Rotem Mulayoff Stella Graßhof Sami S. Brandt T. Michaeli DiffM 65 43 0 20 Mar 2023
Adversarial Counterfactual Visual Explanations Guillaume Jeanneret Loïc Simon F. Jurie DiffM 77 27 0 17 Mar 2023
Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation Joshua Vendrow Saachi Jain Logan Engstrom Aleksander Madry OOD 60 35 0 15 Feb 2023
Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting Viraj Prabhu David Acuna Andy Liao Rafid Mahmood M. Law Judy Hoffman Sanja Fidler James Lucas 50 11 0 09 Feb 2023
Concept Algebra for (Score-Based) Text-Controlled Generative Models Zihao Wang Lin Gui Jeffrey Negrea Victor Veitch CoGe DiffM 67 40 0 07 Feb 2023
Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models Qiucheng Wu Yujian Liu Handong Zhao Ajinkya Kale T. Bui Tong Yu Zhe Lin Yang Zhang Shiyu Chang DiffM CoGe 54 101 0 16 Dec 2022
Diffusion Visual Counterfactual Explanations Maximilian Augustin Valentyn Boreiko Francesco Croce Matthias Hein DiffM BDL 78 72 0 21 Oct 2022
Diffusion Models already have a Semantic Latent Space Mingi Kwon Jaeseok Jeong Youngjung Uh 68 257 0 20 Oct 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Tengjiao Wang Ming-Hsuan Yang DiffM MedIm 357 1,385 0 02 Sep 2022
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding Chitwan Saharia William Chan Saurabh Saxena Lala Li Jay Whang ... Raphael Gontijo-Lopes Tim Salimans Jonathan Ho David J Fleet Mohammad Norouzi VLM 437 6,023 0 23 May 2022
Sparse Visual Counterfactual Explanations in Image Space Valentyn Boreiko Maximilian Augustin Francesco Croce Philipp Berens Matthias Hein BDL CML 112 28 0 16 May 2022
medXGAN: Visual Explanations for Medical Classifiers through a Generative Latent Space Amil Dravid Florian Schiffers Boqing Gong Aggelos K. Katsaggelos GAN MedIm 67 9 0 11 Apr 2022
Diffusion Models for Counterfactual Explanations Guillaume Jeanneret Loïc Simon F. Jurie DiffM 108 56 0 29 Mar 2022
Cycle-Consistent Counterfactuals by Latent Transformations Saeed Khorram Li Fuxin BDL 52 32 0 28 Mar 2022
A Rigorous Study of Integrated Gradients Method and Extensions to Internal Neuron Attributions Daniel Lundstrom Tianjian Huang Meisam Razaviyayn FAtt 90 69 0 24 Feb 2022
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond Anna Hedström Leander Weber Dilyara Bareeva Daniel G. Krakowczyk Franz Motzkus Wojciech Samek Sebastian Lapuschkin Marina M.-C. Höhne XAI ELM 56 175 0 14 Feb 2022
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets Axel Sauer Katja Schwarz Andreas Geiger 266 512 0 01 Feb 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 458 15,665 0 20 Dec 2021
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation Konpat Preechakul Nattanat Chatthee Suttisak Wizadwongsa Supasorn Suwajanakorn SyDa DiffM 119 431 0 30 Nov 2021
STEEX: Steering Counterfactual Explanations with Semantics P. Jacob Éloi Zablocki H. Ben-younes Mickaël Chen P. Pérez Matthieu Cord 55 43 0 17 Nov 2021
Designing Counterfactual Generators using Deep Model Inversion Jayaraman J. Thiagarajan V. Narayanaswamy Deepta Rajan J. Liang Akshay S. Chaudhari A. Spanias DiffM 42 22 0 29 Sep 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 230 7,857 0 11 May 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
Revisiting The Evaluation of Class Activation Mapping for Explainability: A Novel Metric and Experimental Analysis Samuele Poppi Marcella Cornia Lorenzo Baraldi Rita Cucchiara FAtt 168 34 0 20 Apr 2021
ECINN: Efficient Counterfactuals from Invertible Neural Networks Frederik Hvilshoj Alexandros Iosifidis Ira Assent BDL 42 26 0 25 Mar 2021
Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations Pau Rodríguez López Massimo Caccia Alexandre Lacoste L. Zamparo I. Laradji Laurent Charlin David Vazquez AAML 74 56 0 18 Mar 2021
Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties Lisa Schut Oscar Key R. McGrath Luca Costabello Bogdan Sacaleanu Medb Corcoran Y. Gal CML 103 48 0 16 Mar 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 341 6,480 0 26 Nov 2020
Exploring Simple Siamese Representation Learning Xinlei Chen Kaiming He SSL 253 4,067 0 20 Nov 2020
GANMEX: One-vs-One Attributions Guided by GAN-based Counterfactual Explanation Baselines Sheng-Min Shih Pin-Ju Tien Zohar Karnin FAtt 58 14 0 11 Nov 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 283 7,384 0 06 Oct 2020
On quantitative aspects of model interpretability An-phi Nguyen María Rodríguez Martínez 47 115 0 15 Jul 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 645 18,096 0 19 Jun 2020
Evaluating and Aggregating Feature-based Model Explanations Umang Bhatt Adrian Weller J. M. F. Moura XAI 90 224 0 01 May 2020
Adversarial Latent Autoencoders Stanislav Pidhorskyi Donald Adjeroh Gianfranco Doretto GAN DRL 91 261 0 09 Apr 2020