v1v2v3 (latest)

Explanation by Progressive Exaggeration

1 November 2019

Kayhan Batmanghelich

Papers citing "Explanation by Progressive Exaggeration"

50 / 79 papers shown

Title
Unifying Image Counterfactuals and Feature Attributions with Latent-Space Adversarial Attacks Jeremy Goldwasser Giles Hooker AAML 96 0 0 21 Apr 2025
Explaining Low Perception Model Competency with High-Competency Counterfactuals Sara Pohland Claire Tomlin DiffM AAML 100 0 0 07 Apr 2025
PRISM: High-Resolution & Precise Counterfactual Medical Image Generation using Language-guided Stable Diffusion Amar Kumar Anita Kriz Mohammad Havaei Tal Arbel MedIm 119 3 0 28 Feb 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 90 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 170 0 0 23 Nov 2024
Counterfactual Explanations via Riemannian Latent Space Traversal Paraskevas Pegios Aasa Feragen Andreas Abildtrup Hansen Georgios Arvanitidis BDL 85 4 0 04 Nov 2024
Rethinking Visual Counterfactual Explanations Through Region Constraint Bartlomiej Sobieski Jakub Grzywaczewski Bartlomiej Sadlej Matthew Tivnan P. Biecek CML 81 3 0 16 Oct 2024
Unsupervised Model Diagnosis Yinong Wang Eileen Li Jinqi Luo Zhaoning Wang Fernando de la Torre AAML 79 2 0 08 Oct 2024
TACE: Tumor-Aware Counterfactual Explanations Eleonora Beatrice Rossi Eleonora Lopez Danilo Comminiello MedIm 38 0 0 19 Sep 2024
The Gaussian Discriminant Variational Autoencoder (GdVAE): A Self-Explainable Model with Counterfactual Explanations Anselm Haselhoff Kevin Trelenberg Fabian Küppers Jonas Schneider 68 2 0 19 Sep 2024
Methodological Explainability Evaluation of an Interpretable Deep Learning Model for Post-Hepatectomy Liver Failure Prediction Incorporating Counterfactual Explanations and Layerwise Relevance Propagation: A Prospective In Silico Trial Xian Zhong Zohaib Salahuddin Yi Chen Henry C. Woodruff H. Long ... Lili Chen Dongming Li Xiaoyan Xie Manxia Lin Philippe Lambin 90 2 0 07 Aug 2024
Attri-Net: A Globally and Locally Inherently Interpretable Model for Multi-Label Classification Using Class-Specific Counterfactuals Susu Sun S. Woerner Andreas Maier Lisa M. Koch Christian F. Baumgartner FAtt 81 2 0 08 Jun 2024
Global Counterfactual Directions Bartlomiej Sobieski P. Biecek DiffM 166 7 0 18 Apr 2024
Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution Ian Covert Chanwoo Kim Su-In Lee James Zou Tatsunori Hashimoto TDI 124 11 0 29 Jan 2024
Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation Nina Weng Paraskevas Pegios Eike Petersen Aasa Feragen Siavash Bigdeli MedIm CML 69 13 0 21 Dec 2023
Reconstruction of Patient-Specific Confounders in AI-based Radiologic Image Interpretation using Generative Pretraining T. Han Laura vZigutyt.e L. Huck M. Huppertz R. Siepmann ... Firas Khader Christiane Kuhl S. Nebelung Jakob Kather Daniel Truhn MedIm 91 3 0 29 Sep 2023
Text-to-Image Models for Counterfactual Explanations: a Black-Box Approach Guillaume Jeanneret Loïc Simon Frédéric Jurie DiffM 105 13 0 14 Sep 2023
Diffusion-based Visual Counterfactual Explanations -- Towards Systematic Quantitative Evaluation Philipp Vaeth Alexander M. Fruehwald Benjamin Paassen Magda Gregorova DiffM 52 5 0 11 Aug 2023
Right for the Wrong Reason: Can Interpretable ML Techniques Detect Spurious Correlations? Susu Sun Lisa M. Koch Christian F. Baumgartner 121 16 0 23 Jul 2023
Exploring the Lottery Ticket Hypothesis with Explainability Methods: Insights into Sparse Network Performance Shantanu Ghosh Kayhan Batmanghelich 75 1 0 07 Jul 2023
Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat Shantanu Ghosh K. Yu Forough Arabshahi Kayhan Batmanghelich MoE 74 14 0 07 Jul 2023
On the Impact of Knowledge Distillation for Model Interpretability Hyeongrok Han Siwon Kim Hyun-Soo Choi Sungroh Yoon 77 5 0 25 May 2023
Adversarial Counterfactual Visual Explanations Guillaume Jeanneret Loïc Simon F. Jurie DiffM 117 29 0 17 Mar 2023
Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals Susu Sun S. Woerner Andreas Maier Lisa M. Koch Christian F. Baumgartner FAtt 132 17 0 01 Mar 2023
GAM Coach: Towards Interactive and User-centered Algorithmic Recourse Zijie J. Wang J. W. Vaughan R. Caruana Duen Horng Chau HAI 96 22 0 27 Feb 2023
Efficient XAI Techniques: A Taxonomic Survey Yu-Neng Chuang Guanchu Wang Fan Yang Zirui Liu Xuanting Cai Mengnan Du Helen Zhou 79 36 0 07 Feb 2023
Integrating Earth Observation Data into Causal Inference: Challenges and Opportunities Connor Jerzak Fredrik D. Johansson Adel Daoud CML 80 12 0 30 Jan 2023
Img2Tab: Automatic Class Relevant Concept Discovery from StyleGAN Features for Explainable Image Classification Y. Song S. K. Shyn Kwang-su Kim VLM 79 5 0 16 Jan 2023
Deep Causal Learning for Robotic Intelligence Yongqian Li CML 84 5 0 23 Dec 2022
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ Eoin Delaney A. Pakrashi Derek Greene Markt. Keane 89 18 0 16 Dec 2022
OCTET: Object-aware Counterfactual Explanations Mehdi Zemni Mickaël Chen Éloi Zablocki H. Ben-younes Patrick Pérez Matthieu Cord AAML 121 29 0 22 Nov 2022
Diagnostics for Deep Neural Networks with Automated Copy/Paste Attacks Stephen Casper K. Hariharan Dylan Hadfield-Menell AAML 111 11 0 18 Nov 2022
A Rigorous Study Of The Deep Taylor Decomposition Leon Sixt Tim Landgraf FAtt AAML 48 4 0 14 Nov 2022
Augmentation by Counterfactual Explanation -- Fixing an Overconfident Classifier Sumedha Singla Nihal Murali Forough Arabshahi Sofia Triantafyllou Kayhan Batmanghelich CML 134 5 0 21 Oct 2022
Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis Xuanyuan Han Pietro Barbiero Dobrik Georgiev Lucie Charlotte Magister Pietro Lio MILM 100 42 0 22 Aug 2022
Towards a More Rigorous Science of Blindspot Discovery in Image Classification Models Gregory Plumb Nari Johnson Ángel Alexander Cabrera Ameet Talwalkar 100 6 0 08 Jul 2022
The Manifold Hypothesis for Gradient-Based Explanations Sebastian Bordt Uddeshya Upadhyay Zeynep Akata U. V. Luxburg FAtt AAML 81 14 0 15 Jun 2022
Estimating Causal Effects Under Image Confounding Bias with an Application to Poverty in Africa Connor Jerzak Fredrik D. Johansson Adel Daoud CML 99 6 0 13 Jun 2022
Diffeomorphic Counterfactuals with Generative Models Ann-Kathrin Dombrowski Jan E. Gerken Klaus-Robert Muller Pan Kessel DiffM BDL 131 17 0 10 Jun 2022
Do Users Benefit From Interpretable Vision? A User Study, Baseline, And Dataset Leon Sixt M. Schuessler Oana-Iuliana Popescu Philipp Weiß Tim Landgraf FAtt 69 15 0 25 Apr 2022
Diffusion Models for Counterfactual Explanations Guillaume Jeanneret Loïc Simon F. Jurie DiffM 122 61 0 29 Mar 2022
Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals Simon Vandenhende D. Mahajan Filip Radenovic Deepti Ghadiyaram 83 30 0 24 Mar 2022
Which Style Makes Me Attractive? Interpretable Control Discovery and Counterfactual Explanation on StyleGAN Yangqiu Song Qiulin Wang Jiquan Pei Yu Yang Xiangyang Ji CVBM 66 3 0 24 Jan 2022
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI Meike Nauta Jan Trienes Shreyasi Pathak Elisa Nguyen Michelle Peters Yasmin Schmitt Jorg Schlotterer M. V. Keulen C. Seifert ELM XAI 198 424 0 20 Jan 2022
When less is more: Simplifying inputs aids neural network understanding R. Schirrmeister Rosanne Liu Sara Hooker T. Ball 133 5 0 14 Jan 2022
Diverse, Global and Amortised Counterfactual Explanations for Uncertainty Estimates Dan Ley Umang Bhatt Adrian Weller UQCV 249 23 0 05 Dec 2021
STEEX: Steering Counterfactual Explanations with Semantics P. Jacob Éloi Zablocki H. Ben-younes Mickaël Chen P. Pérez Matthieu Cord 81 45 0 17 Nov 2021
Interpretable ECG classification via a query-based latent space traversal (qLST) Melle B Vessies Sharvaree P. Vadgama R. V. D. Leur P. Doevendans R. Hassink Erik J. Bekkers R. V. Es 16 1 0 14 Nov 2021
On Quantitative Evaluations of Counterfactuals Frederik Hvilshoj Alexandros Iosifidis Ira Assent 87 10 0 30 Oct 2021
Counterfactual Explanation of Brain Activity Classifiers using Image-to-Image Transfer by Generative Adversarial Network Teppei Matsui Masato Taki Trung Quang Pham J. Chikazoe K. Jimura DiffM AAML 112 12 0 28 Oct 2021