Understanding Neural Networks via Feature Visualization: A survey

18 April 2019

Jeff Clune

Papers citing "Understanding Neural Networks via Feature Visualization: A survey"

50 / 80 papers shown

Title
Decoding Vision Transformers: the Diffusion Steering Lens Ryota Takatsuki Sonia Joseph Ippei Fujisawa Ryota Kanai DiffM 30 0 0 18 Apr 2025
On Background Bias of Post-Hoc Concept Embeddings in Computer Vision DNNs Gesina Schwalbe Georgii Mikriukov Edgar Heinert Stavros Gerolymatos Mert Keser Alois Knoll Matthias Rottmann Annika Mütze 36 0 0 11 Apr 2025
Universal Sparse Autoencoders: Interpretable Cross-Model Concept Alignment Harrish Thasarathan Julian Forsyth Thomas Fel M. Kowal Konstantinos G. Derpanis 111 7 0 06 Feb 2025
Dimensions underlying the representational alignment of deep neural networks with humans F. Mahner Lukas Muttenthaler Umut Güçlü M. Hebart 48 4 0 28 Jan 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 42 2 0 06 Nov 2024
Leaky ReLUs That Differ in Forward and Backward Pass Facilitate Activation Maximization in Deep Neural Networks C. Linse Erhardt Barth Thomas Martinetz 42 0 0 22 Oct 2024
LLMScan: Causal Scan for LLM Misbehavior Detection Mengdi Zhang Kai Kiat Goh Peixin Zhang Jun Sun Rose Lin Xin Hongyu Zhang 28 0 0 22 Oct 2024
Understanding Reasoning in Chain-of-Thought from the Hopfieldian View Lijie Hu Liang Liu Shu Yang Xin Chen Zhen Tan Muhammad Asif Ali Mengdi Li Di Wang LRM 46 1 0 04 Oct 2024
Interpreting Global Perturbation Robustness of Image Models using Axiomatic Spectral Importance Decomposition Róisín Luo James McDermott C. O'Riordan AAML 45 0 0 02 Aug 2024
Understanding Visual Feature Reliance through the Lens of Complexity Thomas Fel Louis Bethune Andrew Kyle Lampinen Thomas Serre Katherine Hermann FAtt CoGe 40 6 0 08 Jul 2024
A Hopfieldian View-based Interpretation for Chain-of-Thought Reasoning Lijie Hu Liang Liu Shu Yang Xin Chen Hongru Xiao Mengdi Li Pan Zhou Muhammad Asif Ali Di Wang LRM 53 5 0 18 Jun 2024
CoProNN: Concept-based Prototypical Nearest Neighbors for Explaining Vision Models Teodor Chiaburu Frank Haußer Felix Bießmann 48 4 0 23 Apr 2024
EIVEN: Efficient Implicit Attribute Value Extraction using Multimodal LLM Henry Peng Zou Gavin Heqing Yu Ziwei Fan Dan Bu Han Liu Peng Dai Dongmei Jia Cornelia Caragea 26 14 0 13 Apr 2024
Enhancing Interpretability of Vertebrae Fracture Grading using Human-interpretable Prototypes Poulami Sinhamahapatra Suprosanna Shit Anjany Sekuboyina M. Husseini D. Schinz Nicolas Lenhart Bjoern H. Menze Jan Kirschke Karsten Roscher Stephan Guennemann 53 1 0 03 Apr 2024
Manipulating Feature Visualizations with Gradient Slingshots Dilyara Bareeva Marina M.-C. Höhne Alexander Warnecke Lukas Pirch Klaus-Robert Müller Konrad Rieck Kirill Bykov AAML 40 6 0 11 Jan 2024
Understanding the (Extra-)Ordinary: Validating Deep Model Decisions with Prototypical Concept-based Explanations Maximilian Dreyer Reduan Achtibat Wojciech Samek Sebastian Lapuschkin 32 10 0 28 Nov 2023
Investigating the Encoding of Words in BERT's Neurons using Feature Textualization Tanja Baeumel Soniya Vijayakumar Josef van Genabith Guenter Neumann Simon Ostermann MILM 37 3 0 14 Nov 2023
Explainability of Vision Transformers: A Comprehensive Review and New Perspectives Rojina Kashefi Leili Barekatain Mohammad Sabokrou Fatemeh Aghaeipoor ViT 45 9 0 12 Nov 2023
Identifying Interpretable Visual Features in Artificial and Biological Neural Systems David A. Klindt Sophia Sanborn Francisco Acosta Frédéric Poitevin Nina Miolane MILM FAtt 44 7 0 17 Oct 2023
Explainable AI applications in the Medical Domain: a systematic review Nicoletta Prentzas A. Kakas Constantinos S. Pattichis 21 11 0 10 Aug 2023
Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training Jeya Maria Jose Valanarasu Yucheng Tang Dong Yang Ziyue Xu Can Zhao ... Vishal M. Patel Bennett Landman Daguang Xu Yufan He V. Nath MedIm 23 13 0 31 Jul 2023
Revisiting the Performance-Explainability Trade-Off in Explainable Artificial Intelligence (XAI) Barnaby Crook Maximilian Schluter Timo Speith 19 16 0 26 Jul 2023
Neuron Sensitivity Guided Test Case Selection for Deep Learning Testing Dong Huang Qi Bu Yichao Fu Yuhao Qing Junjie Chen Heming Cui AAML 34 2 0 20 Jul 2023
Targeted Background Removal Creates Interpretable Feature Visualizations Ian E. Nielsen Erik Grundeland J. Snedeker Ghulam Rasool Ravichandran Ramachandran FAtt AAML 21 0 0 22 Jun 2023
Unlocking Feature Visualization for Deeper Networks with MAgnitude Constrained Optimization Thomas Fel Thibaut Boissin Victor Boutin Agustin Picard Paul Novello ... Drew Linsley Tom Rousseau Rémi Cadène Laurent Gardes Thomas Serre FAtt 24 19 0 11 Jun 2023
Don't trust your eyes: on the (un)reliability of feature visualizations Robert Geirhos Roland S. Zimmermann Blair Bilodeau Wieland Brendel Been Kim FAtt OOD 35 26 0 07 Jun 2023
A Unified Concept-Based System for Local, Global, and Misclassification Explanations Fatemeh Aghaeipoor D. Asgarian Mohammad Sabokrou FAtt 27 0 0 06 Jun 2023
Applying language models to algebraic topology: generating simplicial cycles using multi-labeling in Wu's formula Kirill Brilliantov Fedor Pavutnitskiy D. Pasechnyuk German Magai 30 0 0 01 Jun 2023
Trainable and Explainable Simplicial Map Neural Networks Eduardo Paluzo-Hidalgo Miguel A. Gutiérrez-Naranjo Rocio Gonzalez-Diaz AAML 34 1 0 29 May 2023
Revealing Similar Semantics Inside CNNs: An Interpretable Concept-based Comparison of Feature Spaces Georgii Mikriukov Gesina Schwalbe Christian Hellert Korinna Bade 21 2 0 30 Apr 2023
Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks Lorenz Linhardt Klaus-Robert Muller G. Montavon AAML 29 7 0 12 Apr 2023
Causal Temporal Graph Convolutional Neural Networks (CTGCN) Abigail Langbridge Fearghal O'Donncha Amadou Ba Fabio Lorenzi Christopher Lohse J. Ploennigs GNN 22 1 0 16 Mar 2023
Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression Junho Kim Byung-Kwan Lee Yonghyun Ro CML AAML 28 18 0 02 Mar 2023
Towards Human-Interpretable Prototypes for Visual Assessment of Image Classification Models Poulami Sinhamahapatra Lena Heidemann Maureen Monnet Karsten Roscher 45 5 0 22 Nov 2022
Reliability of CKA as a Similarity Measure in Deep Learning Mohammad-Javad Davari Stefan Horoi A. Natik Guillaume Lajoie Guy Wolf Eugene Belilovsky AAML 91 36 0 28 Oct 2022
End-to-end Ensemble-based Feature Selection for Paralinguistics Tasks Tamás Grósz Mittul Singh Sudarsana Reddy Kadiri H. Kathania M. Kurimo 28 0 0 28 Oct 2022
On the Evaluation of the Plausibility and Faithfulness of Sentiment Analysis Explanations Julia El Zini Mohamad Mansour Basel Mousi M. Awad 13 8 0 13 Oct 2022
Towards Human-Compatible XAI: Explaining Data Differentials with Concept Induction over Background Knowledge Cara L. Widmer Md Kamruzzaman Sarker Srikanth Nadella Joshua L. Fiechter I. Juvina B. Minnery Pascal Hitzler Joshua Schwartz M. Raymer 37 7 0 27 Sep 2022
Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks Tilman Raukur A. Ho Stephen Casper Dylan Hadfield-Menell AAML AI4CE 23 124 0 27 Jul 2022
Explaining the root causes of unit-level changes Kailash Budhathoki George Michailidis Dominik Janzing FAtt 33 4 0 26 Jun 2022
A Dynamic Data Driven Approach for Explainable Scene Understanding Z. Daniels Dimitris N. Metaxas FAtt 25 3 0 18 Jun 2022
DORA: Exploring Outlier Representations in Deep Neural Networks Kirill Bykov Mayukh Deb Dennis Grinwald Klaus-Robert Muller Marina M.-C. Höhne 27 12 0 09 Jun 2022
Xplique: A Deep Learning Explainability Toolbox Thomas Fel Lucas Hervier David Vigouroux Antonin Poché Justin Plakoo ... Agustin Picard C. Nicodeme Laurent Gardes G. Flandin Thomas Serre 24 30 0 09 Jun 2022
Applications of Reinforcement Learning in Deregulated Power Market: A Comprehensive Review Ziqing Zhu Ze Hu K. Chan S. Bu Bin Zhou S. Xia OffRL 17 1 0 07 May 2022
Visualizing and Explaining Language Models Adrian M. P. Braşoveanu Razvan Andonie MILM VLM 29 4 0 30 Apr 2022
Masking Adversarial Damage: Finding Adversarial Saliency for Robust and Sparse Network Byung-Kwan Lee Junho Kim Y. Ro AAML 15 18 0 06 Apr 2022
Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck Junho Kim Byung-Kwan Lee Yong Man Ro AAML 11 44 0 06 Apr 2022
Concept Embedding Analysis: A Review Gesina Schwalbe 34 28 0 25 Mar 2022
Visualizing Global Explanations of Point Cloud DNNs Hanxiao Tan 3DPC 48 7 0 17 Mar 2022
Explaining, Evaluating and Enhancing Neural Networks' Learned Representations Marco Bertolini Djork-Arné Clevert F. Montanari FAtt 14 5 0 18 Feb 2022