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How Well do Feature Visualizations Support Causal Understanding of CNN Activations?

23 June 2021

Wieland Brendel

Papers citing "How Well do Feature Visualizations Support Causal Understanding of CNN Activations?"

25 / 25 papers shown

Title
Probing the Probes: Methods and Metrics for Concept Alignment Jacob Lysnæs-Larsen Marte Eggen Inga Strümke LLMSV 104 0 0 06 Nov 2025
DEXTER: Diffusion-Guided EXplanations with TExtual Reasoning for Vision Models Simone Carnemolla M. Pennisi Sarinda Samarasinghe Giovanni Bellitto S. Palazzo Daniela Giordano M. Shah C. Spampinato AAML FAtt VLM 193 0 0 16 Oct 2025
Concept-Centric Token Interpretation for Vector-Quantized Generative Models Tianze Yang Yucheng Shi Mengnan Du Xuansheng Wu Qiaoyu Tan Jin Sun Ninghao Liu 213 1 0 31 May 2025
Decoding Vision Transformers: the Diffusion Steering Lens Ryota Takatsuki Sonia Joseph Ippei Fujisawa Ryota Kanai DiffM 324 0 0 18 Apr 2025
VITAL: More Understandable Feature Visualization through Distribution Alignment and Relevant Information Flow Ada Gorgun Bernt Schiele Jonas Fischer 174 1 0 28 Mar 2025
MoireDB: Formula-generated Interference-fringe Image Dataset Yuto Matsuo Ryo Hayamizu Hirokatsu Kataoka Akio Nakamura 180 0 0 03 Feb 2025
Local vs distributed representations: What is the right basis for interpretability? Julien Colin L. Goetschalckx Thomas Fel Victor Boutin Jay Gopal Thomas Serre Nuria Oliver HAI 204 4 0 06 Nov 2024
Understanding Inhibition Through Maximally Tense Images Chris Hamblin Srijani Saha Talia Konkle George Alvarez FAtt 154 0 0 08 Jun 2024
From Feature Visualization to Visual Circuits: Effect of Adversarial Model Manipulation Géraldin Nanfack Michael Eickenberg Eugene Belilovsky FAtt AAML GNN 240 1 0 03 Jun 2024
Interpretability Needs a New Paradigm Andreas Madsen Himabindu Lakkaraju Siva Reddy Sarath Chandar 177 6 0 08 May 2024
Causality from Bottom to Top: A Survey Abraham Itzhak Weinberg Cristiano Premebida Diego Resende Faria CML 187 5 0 17 Mar 2024
Feature Accentuation: Revealing 'What' Features Respond to in Natural Images Christopher Hamblin Thomas Fel Srijani Saha Talia Konkle George A. Alvarez FAtt 290 4 0 15 Feb 2024
Error Discovery by Clustering Influence EmbeddingsNeural Information Processing Systems (NeurIPS), 2023 Fulton Wang Julius Adebayo Sarah Tan Diego Garcia-Olano Narine Kokhlikyan 270 5 0 07 Dec 2023
Identifying Interpretable Visual Features in Artificial and Biological Neural Systems David A. Klindt Sophia Sanborn Francisco Acosta Frédéric Poitevin Nina Miolane MILM FAtt 259 10 0 17 Oct 2023
BrainSCUBA: Fine-Grained Natural Language Captions of Visual Cortex SelectivityInternational Conference on Learning Representations (ICLR), 2023 Andrew F. Luo Margaret M. Henderson Michael J. Tarr Brian Karrer 270 27 0 06 Oct 2023
COSE: A Consistency-Sensitivity Metric for Saliency on Image Classification Rangel Daroya Aaron Sun Subhransu Maji 151 1 0 20 Sep 2023
The role of causality in explainable artificial intelligence Gianluca Carloni Andrea Berti Sara Colantonio CML XAI 219 29 0 18 Sep 2023
Scale Alone Does not Improve Mechanistic Interpretability in Vision ModelsNeural Information Processing Systems (NeurIPS), 2023 Roland S. Zimmermann Thomas Klein Wieland Brendel 196 22 0 11 Jul 2023
Adversarial Attacks on the Interpretation of Neuron Activation MaximizationAAAI Conference on Artificial Intelligence (AAAI), 2023 Géraldin Nanfack A. Fulleringer Jonathan Marty Michael Eickenberg Eugene Belilovsky AAML FAtt 178 12 0 12 Jun 2023
Unlocking Feature Visualization for Deeper Networks with MAgnitude Constrained OptimizationNeural Information Processing Systems (NeurIPS), 2023 Thomas Fel Thibaut Boissin Victor Boutin Agustin Picard Paul Novello ... Drew Linsley Tom Rousseau Rémi Cadène Laurent Gardes Thomas Serre FAtt 259 28 0 11 Jun 2023
Don't trust your eyes: on the (un)reliability of feature visualizationsInternational Conference on Machine Learning (ICML), 2023 Robert Geirhos Roland S. Zimmermann Blair Bilodeau Wieland Brendel Been Kim FAtt OOD 343 35 0 07 Jun 2023
Are Deep Neural Networks Adequate Behavioural Models of Human Visual Perception?Annual Review of Vision Science (ARVS), 2023 Felix Wichmann Robert Geirhos 196 37 0 26 May 2023
Comparing the Decision-Making Mechanisms by Transformers and CNNs via Explanation MethodsComputer Vision and Pattern Recognition (CVPR), 2022 Ming-Xiu Jiang Saeed Khorram Li Fuxin FAtt 354 15 0 13 Dec 2022
What do Vision Transformers Learn? A Visual Exploration Amin Ghiasi Hamid Kazemi Eitan Borgnia Steven Reich Manli Shu Micah Goldblum A. Wilson Tom Goldstein ViT 219 77 0 13 Dec 2022
HIVE: Evaluating the Human Interpretability of Visual ExplanationsEuropean Conference on Computer Vision (ECCV), 2021 Sunnie S. Y. Kim Nicole Meister V. V. Ramaswamy Ruth C. Fong Olga Russakovsky 338 129 0 06 Dec 2021