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)"

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Title
Discovering Concept Directions from Diffusion-based Counterfactuals via Latent Clustering Payal Varshney Adriano Lucieri Christoph Balada Andreas Dengel Sheraz Ahmed DiffM 34 0 0 11 May 2025
Wasserstein Distances Made Explainable: Insights into Dataset Shifts and Transport Phenomena Philip Naumann Jacob R. Kauffmann G. Montavon 26 0 0 09 May 2025
Human in the Latent Loop (HILL): Interactively Guiding Model Training Through Human Intuition Daniel Geissler L. Krupp Vishal Banwari David Habusch Bo Zhou P. Lukowicz Jakob Karolus 31 0 0 09 May 2025
Concept-Based Unsupervised Domain Adaptation Xinyue Xu Y. Hu Hui Tang Yi Qin Lu Mi Hao Wang Xiaomeng Li 50 0 0 08 May 2025
ChannelExplorer: Exploring Class Separability Through Activation Channel Visualization Md Rahat-uz- Zaman Bei Wang Paul Rosen 21 0 0 06 May 2025
IP-CRR: Information Pursuit for Interpretable Classification of Chest Radiology Reports Yuyan Ge Kwan Ho Ryan Chan Pablo Messina René Vidal 38 0 0 30 Apr 2025
If Concept Bottlenecks are the Question, are Foundation Models the Answer? Nicola Debole Pietro Barbiero Francesco Giannini Andrea Passerini Stefano Teso Emanuele Marconato 131 0 0 28 Apr 2025
What's Pulling the Strings? Evaluating Integrity and Attribution in AI Training and Inference through Concept Shift Jiamin Chang H. Li Hammond Pearce Ruoxi Sun Bo-wen Li Minhui Xue 38 0 0 28 Apr 2025
Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization Emiliano Penaloza Tianyue H. Zhan Laurent Charlin Mateo Espinosa Zarlenga 45 0 0 25 Apr 2025
Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts M. Zarlenga Gabriele Dominici Pietro Barbiero Z. Shams M. Jamnik KELM 155 0 0 24 Apr 2025
MAGIC: Near-Optimal Data Attribution for Deep Learning Andrew Ilyas Logan Engstrom TDI 39 0 0 23 Apr 2025
Disentangling Polysemantic Channels in Convolutional Neural Networks Robin Hesse Jonas Fischer Simone Schaub-Meyer Stefan Roth FAtt MILM 55 0 0 17 Apr 2025
PCBEAR: Pose Concept Bottleneck for Explainable Action Recognition Jongseo Lee Wooil Lee Gyeong-Moon Park Seong Tae Kim Jinwoo Choi 33 0 0 17 Apr 2025
Beyond Patches: Mining Interpretable Part-Prototypes for Explainable AI Mahdi Alehdaghi Rajarshi Bhattacharya Pourya Shamsolmoali Rafael M. O. Cruz Maguelonne Heritier Eric Granger 36 0 0 16 Apr 2025
C-SHAP for time series: An approach to high-level temporal explanations Annemarie Jutte Faizan Ahmed Jeroen Linssen Maurice van Keulen AI4TS 26 0 0 15 Apr 2025
Embedding Radiomics into Vision Transformers for Multimodal Medical Image Classification Zhenyu Yang Haiming Zhu Rihui Zhang Haipeng Zhang Jianliang Wang Chunhao Wang Minbin Chen F. Yin MedIm 38 0 0 15 Apr 2025
Towards Spatially-Aware and Optimally Faithful Concept-Based Explanations Shubham Kumar Dwip Dalal Narendra Ahuja 21 0 0 15 Apr 2025
Interactivity x Explainability: Toward Understanding How Interactivity Can Improve Computer Vision Explanations Indu Panigrahi Sunnie S. Y. Kim Amna Liaqat Rohan Jinturkar Olga Russakovsky Ruth C. Fong Parastoo Abtahi FAtt HAI 57 0 0 14 Apr 2025
Ordinary Least Squares as an Attention Mechanism Philippe Goulet Coulombe 17 0 0 13 Apr 2025
Explainable Artificial Intelligence techniques for interpretation of food datasets: a review Leonardo Arrighi Ingrid Alves de Moraes Marco Zullich Michele Simonato Douglas Fernandes Barbin Sylvio Barbon Junior 21 0 0 12 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 31 0 0 11 Apr 2025
A Meaningful Perturbation Metric for Evaluating Explainability Methods Danielle Cohen Hila Chefer Lior Wolf AAML 25 0 0 09 Apr 2025
Concept Extraction for Time Series with ECLAD-ts Antonia Holzapfel Andres Felipe Posada-Moreno Sebastian Trimpe AI4TS 21 0 0 07 Apr 2025
Activation Patching for Interpretable Steering in Music Generation Simone Facchiano Giorgio Strano Donato Crisostomi Irene Tallini Tommaso Mencattini Fabio Galasso Emanuele Rodolà LLMSV 24 0 0 06 Apr 2025
Interpretable Multimodal Learning for Tumor Protein-Metal Binding: Progress, Challenges, and Perspectives Xiaokun Liu Sayedmohammadreza Rastegari Yijun Huang Sxe Chang Cheong Weikang Liu ... Sina Tabakhi Xianyuan Liu Zheqing Zhu Wei Sang Haiping Lu 29 0 0 04 Apr 2025
V-CEM: Bridging Performance and Intervenability in Concept-based Models Francesco De Santis Gabriele Ciravegna Philippe Bich Danilo Giordano Tania Cerquitelli 32 0 0 04 Apr 2025
LLM Social Simulations Are a Promising Research Method Jacy Reese Anthis Ryan Liu Sean M. Richardson Austin C. Kozlowski Bernard Koch James A. Evans Erik Brynjolfsson Michael S. Bernstein ALM 51 5 0 03 Apr 2025
Fourier Feature Attribution: A New Efficiency Attribution Method Zechen Liu Feiyang Zhang Wei Song X. Li Wei Wei FAtt 57 0 0 02 Apr 2025
Uncertainty Propagation in XAI: A Comparison of Analytical and Empirical Estimators Teodor Chiaburu Felix Bießmann Frank Haußer 23 0 0 01 Apr 2025
LLMs for Explainable AI: A Comprehensive Survey Ahsan Bilal David Ebert Beiyu Lin 72 1 0 31 Mar 2025
From Colors to Classes: Emergence of Concepts in Vision Transformers Teresa Dorszewski Lenka Tětková Robert Jenssen Lars Kai Hansen Kristoffer Wickstrøm 37 0 0 31 Mar 2025
Language Guided Concept Bottleneck Models for Interpretable Continual Learning Lu Yu Haoyu Han Zhe Tao Hantao Yao Changsheng Xu CLL 60 0 0 30 Mar 2025
TraNCE: Transformative Non-linear Concept Explainer for CNNs Ugochukwu Ejike Akpudo Yongsheng Gao J. Zhou Andrew Lewis 68 0 0 26 Mar 2025
Hacia la interpretabilidad de la detección anticipada de riesgos de depresión utilizando grandes modelos de lenguaje Horacio Thompson Maximiliano Sapino Edgardo Ferretti M. Errecalde 53 0 0 26 Mar 2025
Towards Human-Understandable Multi-Dimensional Concept Discovery Arne Grobrugge Niklas Kühl G. Satzger Philipp Spitzer 44 0 0 24 Mar 2025
Explaining Domain Shifts in Language: Concept erasing for Interpretable Image Classification Zequn Zeng Yudi Su Jianqiao Sun Tiansheng Wen Hao Zhang Zhengjue Wang Bo Chen Hongwei Liu Jiawei Ma VLM 60 0 0 24 Mar 2025
On Explaining (Large) Language Models For Code Using Global Code-Based Explanations David Nader-Palacio Dipin Khati Daniel Rodríguez-Cárdenas Alejandro Velasco Denys Poshyvanyk LRM 44 0 0 21 Mar 2025
Representational Similarity via Interpretable Visual Concepts Neehar Kondapaneni Oisin Mac Aodha Pietro Perona DRL 160 0 0 19 Mar 2025
Automated Processing of eXplainable Artificial Intelligence Outputs in Deep Learning Models for Fault Diagnostics of Large Infrastructures Giovanni Floreale Piero Baraldi Enrico Zio Olga Fink 40 0 0 19 Mar 2025
Using the Tools of Cognitive Science to Understand Large Language Models at Different Levels of Analysis Alexander Ku Declan Campbell Xuechunzi Bai Jiayi Geng Ryan Liu ... Ilia Sucholutsky Veniamin Veselovsky Liyi Zhang Jian-Qiao Zhu Thomas L. Griffiths ELM 88 2 0 17 Mar 2025
ASIDE: Architectural Separation of Instructions and Data in Language Models Egor Zverev Evgenii Kortukov Alexander Panfilov Soroush Tabesh Alexandra Volkova Sebastian Lapuschkin Wojciech Samek Christoph H. Lampert AAML 54 1 0 13 Mar 2025
Discovering Influential Neuron Path in Vision Transformers Yifan Wang Yifei Liu Yingdong Shi C. Li Anqi Pang Sibei Yang Jingyi Yu Kan Ren ViT 69 0 0 12 Mar 2025
C^2 ATTACK: Towards Representation Backdoor on CLIP via Concept Confusion Lijie Hu Junchi Liao Weimin Lyu Shaopeng Fu Tianhao Huang Shu Yang Guimin Hu Di Wang AAML 65 0 0 12 Mar 2025
A Quantitative Evaluation of the Expressivity of BMI, Pose and Gender in Body Embeddings for Recognition and Identification Basudha Pal Siyuan Huang 56 0 0 09 Mar 2025
Exploring Interpretability for Visual Prompt Tuning with Hierarchical Concepts Yubin Wang Xinyang Jiang De Cheng Xiangqian Zhao Zilong Wang Dongsheng Li Cairong Zhao VLM 72 0 0 08 Mar 2025
Towards Locally Explaining Prediction Behavior via Gradual Interventions and Measuring Property Gradients Niklas Penzel Joachim Denzler FAtt 50 0 0 07 Mar 2025
Post-Hoc Concept Disentanglement: From Correlated to Isolated Concept Representations Eren Erogullari Sebastian Lapuschkin Wojciech Samek Frederik Pahde LLMSV CoGe 62 0 0 07 Mar 2025
Causally Reliable Concept Bottleneck Models Giovanni De Felice Arianna Casanova Flores Francesco De Santis Silvia Santini Johannes Schneider Pietro Barbiero Alberto Termine 74 2 0 06 Mar 2025
Conceptualizing Uncertainty Isaac Roberts Alexander Schulz Sarah Schroeder Fabian Hinder Barbara Hammer UD 77 0 0 05 Mar 2025
Projecting Assumptions: The Duality Between Sparse Autoencoders and Concept Geometry Sai Sumedh R. Hindupur Ekdeep Singh Lubana Thomas Fel Demba Ba 42 4 0 03 Mar 2025