Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)

30 November 2017

Justin Gilmer

Papers citing "Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)"

50 / 1,045 papers shown

Title
Interpreting Neural Networks through Mahalanobis Distance Alan Oursland FAtt MILM 13 1 0 25 Oct 2024
Exploiting Interpretable Capabilities with Concept-Enhanced Diffusion and Prototype Networks Alba Carballo-Castro Sonia Laguna Moritz Vandenhirtz Julia E. Vogt DiffM 24 1 0 24 Oct 2024
Exploiting Text-Image Latent Spaces for the Description of Visual Concepts Laines Schmalwasser J. Gawlikowski Joachim Denzler Julia Niebling 21 2 0 23 Oct 2024
Evaluating Explanations Through LLMs: Beyond Traditional User Studies Francesco Bombassei De Bona Gabriele Dominici Tim Miller Marc Langheinrich M. Gjoreski 22 4 0 23 Oct 2024
Linking Model Intervention to Causal Interpretation in Model Explanation Debo Cheng Ziqi Xu Jiuyong Li Lin Liu Kui Yu T. Le Jixue Liu CML 23 0 0 21 Oct 2024
Bayesian Concept Bottleneck Models with LLM Priors Jean Feng Avni Kothari Luke Zier Chandan Singh Yan Shuo Tan 21 2 0 21 Oct 2024
Structural Causality-based Generalizable Concept Discovery Models Sanchit Sinha Guangzhi Xiong Aidong Zhang CML DRL 26 0 0 20 Oct 2024
ConLUX: Concept-Based Local Unified Explanations Junhao Liu Haonan Yu Xin Zhang FAtt LRM 33 0 0 16 Oct 2024
LG-CAV: Train Any Concept Activation Vector with Language Guidance Qihan Huang Jie Song Mengqi Xue H. Zhang Bingde Hu Huiqiong Wang Hao Jiang Xingen Wang Mingli Song VLM 29 0 0 14 Oct 2024
Semantic Token Reweighting for Interpretable and Controllable Text Embeddings in CLIP Eunji Kim Kyuhong Shim Simyung Chang Sungroh Yoon CLIP 28 0 0 11 Oct 2024
Audio Explanation Synthesis with Generative Foundation Models Alican Akman Qiyang Sun Björn W. Schuller 20 1 0 10 Oct 2024
Unlearning-based Neural Interpretations Ching Lam Choi Alexandre Duplessis Serge Belongie FAtt 42 0 0 10 Oct 2024
Bridging Today and the Future of Humanity: AI Safety in 2024 and Beyond Shanshan Han 78 1 0 09 Oct 2024
A mechanistically interpretable neural network for regulatory genomics Alex Tseng Gökçen Eraslan Tommaso Biancalani Gabriele Scalia 19 0 0 08 Oct 2024
Understanding with toy surrogate models in machine learning Andrés Páez SyDa 24 0 0 08 Oct 2024
Is What You Ask For What You Get? Investigating Concept Associations in Text-to-Image Models Salma Abdel Magid Weiwei Pan Simon Warchol Grace Guo Junsik Kim Mahia Rahman Hanspeter Pfister 89 0 0 06 Oct 2024
Contrastive Explanations That Anticipate Human Misconceptions Can Improve Human Decision-Making Skills Zana Buçinca S. Swaroop Amanda E. Paluch Finale Doshi-Velez Krzysztof Z. Gajos 48 2 0 05 Oct 2024
Variational Language Concepts for Interpreting Foundation Language Models Hengyi Wang Shiwei Tan Zhiqing Hong Desheng Zhang Hao Wang 32 3 0 04 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 41 1 0 04 Oct 2024
Looking into Concept Explanation Methods for Diabetic Retinopathy Classification Andrea M. Storås Josefine V. Sundgaard 27 0 0 04 Oct 2024
Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks Junlin Hou Sicen Liu Yequan Bie Hongmei Wang Andong Tan Luyang Luo Hao Chen XAI 25 3 0 03 Oct 2024
One Wave to Explain Them All: A Unifying Perspective on Post-hoc Explainability Gabriel Kasmi Amandine Brunetto Thomas Fel Jayneel Parekh AAML FAtt 25 0 0 02 Oct 2024
Deep Model Interpretation with Limited Data : A Coreset-based Approach Hamed Behzadi-Khormouji José Oramas SLR 23 0 0 01 Oct 2024
Beyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian Distribution Haiyan Zhao Heng Zhao Bo Shen Ali Payani Fan Yang Mengnan Du 59 2 0 30 Sep 2024
Explanation Bottleneck Models Shinýa Yamaguchi Kosuke Nishida LRM BDL 49 1 0 26 Sep 2024
Proof of Thought : Neurosymbolic Program Synthesis allows Robust and Interpretable Reasoning Debargha Ganguly Srinivasan Iyengar Vipin Chaudhary Shivkumar Kalyanaraman LRM 30 2 0 25 Sep 2024
Unveiling Ontological Commitment in Multi-Modal Foundation Models Mert Keser Gesina Schwalbe Niki Amini-Naieni Matthias Rottmann Alois Knoll 21 1 0 25 Sep 2024
Linking in Style: Understanding learned features in deep learning models Maren H. Wehrheim Pamela Osuna-Vargas Matthias Kaschube GAN 31 0 0 25 Sep 2024
Facing Asymmetry -- Uncovering the Causal Link between Facial Symmetry and Expression Classifiers using Synthetic Interventions Tim Buchner Niklas Penzel Orlando Guntinas-Lichius Joachim Denzler CVBM 23 2 0 24 Sep 2024
EQ-CBM: A Probabilistic Concept Bottleneck with Energy-based Models and Quantized Vectors Sangwon Kim Dasom Ahn B. Ko In-su Jang Kwang-Ju Kim 30 4 0 22 Sep 2024
Concept-Based Explanations in Computer Vision: Where Are We and Where Could We Go? Jae Hee Lee Georgii Mikriukov Gesina Schwalbe Stefan Wermter D. Wolter 50 2 0 20 Sep 2024
Trustworthy Conceptual Explanations for Neural Networks in Robot Decision-Making Som Sagar Aditya Taparia Harsh Mankodiya Pranav M Bidare Yifan Zhou Ransalu Senanayake FAtt 26 0 0 16 Sep 2024
Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation Hugo Porta Emanuele Dalsasso Diego Marcos D. Tuia 93 0 0 14 Sep 2024
Layerwise Change of Knowledge in Neural Networks Xu Cheng Lei Cheng Zhaoran Peng Yang Xu Tian Han Quanshi Zhang KELM FAtt 33 6 0 13 Sep 2024
Confident Teacher, Confident Student? A Novel User Study Design for Investigating the Didactic Potential of Explanations and their Impact on Uncertainty Teodor Chiaburu Frank Haußer Felix Bießmann 30 0 0 10 Sep 2024
Decompose the model: Mechanistic interpretability in image models with Generalized Integrated Gradients (GIG) Yearim Kim Sangyu Han Sangbum Han Nojun Kwak 55 0 0 03 Sep 2024
Aligning XAI with EU Regulations for Smart Biomedical Devices: A Methodology for Compliance Analysis Francesco Sovrano Michaël Lognoul Giulia Vilone 21 1 0 27 Aug 2024
Explainable Concept Generation through Vision-Language Preference Learning Aditya Taparia Som Sagar Ransalu Senanayake FAtt 27 2 0 24 Aug 2024
Revisiting FunnyBirds evaluation framework for prototypical parts networks Szymon Opłatek Dawid Rymarczyk Bartosz Zieliñski 30 3 0 21 Aug 2024
LCE: A Framework for Explainability of DNNs for Ultrasound Image Based on Concept Discovery Weiji Kong Xun Gong Juan Wang 21 1 0 19 Aug 2024
TextCAVs: Debugging vision models using text A. Nicolson Yarin Gal J. A. Noble CoGe 31 0 0 16 Aug 2024
The Language of Trauma: Modeling Traumatic Event Descriptions Across Domains with Explainable AI Miriam Schirmer Tobias Leemann Gjergji Kasneci Jürgen Pfeffer David Jurgens 80 0 0 12 Aug 2024
Improving Large Language Model (LLM) fidelity through context-aware grounding: A systematic approach to reliability and veracity Wrick Talukdar Anjanava Biswas KELM 32 5 0 07 Aug 2024
Interpreting Global Perturbation Robustness of Image Models using Axiomatic Spectral Importance Decomposition Róisín Luo James McDermott C. O'Riordan AAML 32 0 0 02 Aug 2024
Review of Explainable Graph-Based Recommender Systems Thanet Markchom Huizhi Liang James Ferryman XAI 21 0 0 31 Jul 2024
CoLiDR: Concept Learning using Aggregated Disentangled Representations Sanchit Sinha Guangzhi Xiong Aidong Zhang 29 0 0 27 Jul 2024
Towards the Dynamics of a DNN Learning Symbolic Interactions Qihan Ren Yang Xu Junpeng Zhang Yue Xin Dongrui Liu Quanshi Zhang 26 7 0 27 Jul 2024
The Contribution of XAI for the Safe Development and Certification of AI: An Expert-Based Analysis Benjamin Frész Vincent Philipp Goebels Safa Omri Danilo Brajovic Andreas Aichele Janika Kutz Jens Neuhüttler Marco F. Huber 28 0 0 22 Jul 2024
Interpretable Concept-Based Memory Reasoning David Debot Pietro Barbiero Francesco Giannini Gabriele Ciravegna Michelangelo Diligenti Giuseppe Marra LRM 29 7 0 22 Jul 2024
Mechanistically Interpreting a Transformer-based 2-SAT Solver: An Axiomatic Approach Nils Palumbo Ravi Mangal Zifan Wang Saranya Vijayakumar Corina S. Pasareanu Somesh Jha 41 1 0 18 Jul 2024