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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Axe the X in XAI: A Plea for Understandable AI Andrés Páez 11 0 0 01 Mar 2024
ProtoP-OD: Explainable Object Detection with Prototypical Parts Pavlos Rath-Manakidis Frederik Strothmann Tobias Glasmachers Laurenz Wiskott ViT 35 1 0 29 Feb 2024
How to Train your Antivirus: RL-based Hardening through the Problem-Space Jacopo Cortellazzi Ilias Tsingenopoulos B. Bosanský Simone Aonzo Davy Preuveneers Wouter Joosen Fabio Pierazzi Lorenzo Cavallaro 21 2 0 29 Feb 2024
WWW: A Unified Framework for Explaining What, Where and Why of Neural Networks by Interpretation of Neuron Concepts Yong Hyun Ahn Hyeon Bae Kim Seong Tae Kim 34 4 0 29 Feb 2024
Understanding the Role of Pathways in a Deep Neural Network Lei Lyu Chen Pang Jihua Wang 27 3 0 28 Feb 2024
Incorporating Expert Rules into Neural Networks in the Framework of Concept-Based Learning A. Konstantinov Lev V. Utkin 38 3 0 22 Feb 2024
A hierarchical decomposition for explaining ML performance discrepancies Jean Feng Harvineet Singh Fan Xia Adarsh Subbaswamy Alexej Gossmann CML 30 0 0 22 Feb 2024
Understanding the Dataset Practitioners Behind Large Language Model Development Crystal Qian Emily Reif Minsuk Kahng 39 3 0 21 Feb 2024
Identifying Semantic Induction Heads to Understand In-Context Learning Jie Ren Qipeng Guo Hang Yan Dongrui Liu Xipeng Qiu Dahua Lin 27 24 0 20 Feb 2024
Prospector Heads: Generalized Feature Attribution for Large Models & Data Gautam Machiraju Alexander Derry Arjun D Desai Neel Guha Amir-Hossein Karimi James Zou Russ Altman Christopher Ré Parag Mallick AI4TS MedIm 45 0 0 18 Feb 2024
Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE) Usha Bhalla Alexander X. Oesterling Suraj Srinivas Flavio du Pin Calmon Himabindu Lakkaraju 36 35 0 16 Feb 2024
Explaining Probabilistic Models with Distributional Values Luca Franceschi Michele Donini Cédric Archambeau Matthias Seeger FAtt 32 2 0 15 Feb 2024
Learning Interpretable Concepts: Unifying Causal Representation Learning and Foundation Models Goutham Rajendran Simon Buchholz Bryon Aragam Bernhard Schölkopf Pradeep Ravikumar AI4CE 91 21 0 14 Feb 2024
Implementing local-explainability in Gradient Boosting Trees: Feature Contribution Ángel Delgado-Panadero Beatriz Hernández-Lorca María Teresa García-Ordás J. Benítez-Andrades 32 52 0 14 Feb 2024
Advancing Explainable AI Toward Human-Like Intelligence: Forging the Path to Artificial Brain Yongchen Zhou Richard Jiang 24 2 0 07 Feb 2024
InterpretCC: Intrinsic User-Centric Interpretability through Global Mixture of Experts Vinitra Swamy Syrielle Montariol Julian Blackwell Jibril Frej Martin Jaggi Tanja Kaser 31 3 0 05 Feb 2024
Focal Modulation Networks for Interpretable Sound Classification Luca Della Libera Cem Subakan Mirco Ravanelli 28 2 0 05 Feb 2024
XAI for Skin Cancer Detection with Prototypes and Non-Expert Supervision Miguel Correia Alceu Bissoto Carlos Santiago Catarina Barata 29 0 0 02 Feb 2024
Rethinking Interpretability in the Era of Large Language Models Chandan Singh J. Inala Michel Galley Rich Caruana Jianfeng Gao LRM AI4CE 77 61 0 30 Jan 2024
Bridging Human Concepts and Computer Vision for Explainable Face Verification Miriam Doh Caroline Mazini Rodrigues Nicolas Boutry Laurent Najman M. Mancas H. Bersini CVBM 27 0 0 30 Jan 2024
Defining and Extracting generalizable interaction primitives from DNNs Lu Chen Siyu Lou Benhao Huang Quanshi Zhang 29 9 0 29 Jan 2024
On the Emergence of Symmetrical Reality Zhenlian Zhang Zeyu Zhang Ziyuan Jiao Yao Su Hangxin Liu Wei Wang Song-Chun Zhu 18 4 0 26 Jan 2024
Black-Box Access is Insufficient for Rigorous AI Audits Stephen Casper Carson Ezell Charlotte Siegmann Noam Kolt Taylor Lynn Curtis ... Michael Gerovitch David Bau Max Tegmark David M. Krueger Dylan Hadfield-Menell AAML 34 78 0 25 Jan 2024
Respect the model: Fine-grained and Robust Explanation with Sharing Ratio Decomposition Sangyu Han Yearim Kim Nojun Kwak AAML 26 1 0 25 Jan 2024
Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable? Sonia Laguna Ricards Marcinkevics Moritz Vandenhirtz Julia E. Vogt 30 17 0 24 Jan 2024
Visual Objectification in Films: Towards a New AI Task for Video Interpretation Julie Tores L. Sassatelli Hui-Yin Wu Clement Bergman Lea Andolfi ... F. Precioso Thierry Devars Magali Guaresi Virginie Julliard Sarah Lecossais 35 2 0 24 Jan 2024
Understanding Video Transformers via Universal Concept Discovery M. Kowal Achal Dave Rares Ambrus Adrien Gaidon Konstantinos G. Derpanis P. Tokmakov ViT 37 8 0 19 Jan 2024
Deep spatial context: when attention-based models meet spatial regression Paulina Tomaszewska El.zbieta Sienkiewicz Mai P. Hoang Przemysław Biecek 15 1 0 18 Jan 2024
DiConStruct: Causal Concept-based Explanations through Black-Box Distillation Ricardo Moreira Jacopo Bono Mário Cardoso Pedro Saleiro Mário A. T. Figueiredo P. Bizarro CML 28 4 0 16 Jan 2024
MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept Alignment Yequan Bie Luyang Luo Hao Chen 24 14 0 16 Jan 2024
An Axiomatic Approach to Model-Agnostic Concept Explanations Zhili Feng Michal Moshkovitz Dotan Di Castro J. Zico Kolter LRM 23 0 0 12 Jan 2024
Decoupling Pixel Flipping and Occlusion Strategy for Consistent XAI Benchmarks Stefan Blücher Johanna Vielhaben Nils Strodthoff AAML 66 20 0 12 Jan 2024
Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models Asma Ghandeharioun Avi Caciularu Adam Pearce Lucas Dixon Mor Geva 34 87 0 11 Jan 2024
The two-way knowledge interaction interface between humans and neural networks Zhanliang He Nuoye Xiong Hongsheng Li Peiyi Shen Guangming Zhu Liang Zhang HAI 15 0 0 10 Jan 2024
Concept Alignment Sunayana Rane Polyphony J. Bruna Ilia Sucholutsky Christopher Kello Thomas L. Griffiths CVBM 31 7 0 09 Jan 2024
Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective Haoyi Xiong Xuhong Li Xiaofei Zhang Jiamin Chen Xinhao Sun Yuchen Li Zeyi Sun Mengnan Du XAI 40 8 0 09 Jan 2024
Do Concept Bottleneck Models Obey Locality? Naveen Raman M. Zarlenga Juyeon Heo M. Jamnik 36 7 0 02 Jan 2024
Understanding Distributed Representations of Concepts in Deep Neural Networks without Supervision Wonjoon Chang Dahee Kwon Jaesik Choi 19 1 0 28 Dec 2023
Observable Propagation: Uncovering Feature Vectors in Transformers Jacob Dunefsky Arman Cohan 35 2 0 26 Dec 2023
Anomaly component analysis Romain Valla Pavlo Mozharovskyi Florence dÁlché-Buc 19 0 0 26 Dec 2023
Q-SENN: Quantized Self-Explaining Neural Networks Thomas Norrenbrock Marco Rudolph Bodo Rosenhahn FAtt AAML MILM 25 6 0 21 Dec 2023
Concept-based Explainable Artificial Intelligence: A Survey Eleonora Poeta Gabriele Ciravegna Eliana Pastor Tania Cerquitelli Elena Baralis LRM XAI 21 41 0 20 Dec 2023
CEIR: Concept-based Explainable Image Representation Learning Yan Cui Shuhong Liu Liuzhuozheng Li Zhiyuan Yuan SSL VLM 26 3 0 17 Dec 2023
Rethinking Robustness of Model Attributions Sandesh Kamath Sankalp Mittal Amit Deshpande Vineeth N. Balasubramanian 22 2 0 16 Dec 2023
Estimation of Concept Explanations Should be Uncertainty Aware Vihari Piratla Juyeon Heo Katherine M. Collins Sukriti Singh Adrian Weller 24 1 0 13 Dec 2023
Evaluating the Utility of Model Explanations for Model Development Shawn Im Jacob Andreas Yilun Zhou XAI FAtt ELM 19 1 0 10 Dec 2023
Finding Concept Representations in Neural Networks with Self-Organizing Maps Mathieu dÁquin MILM 19 1 0 10 Dec 2023
Artificial Neural Nets and the Representation of Human Concepts Timo Freiesleben NAI 22 1 0 08 Dec 2023
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 47 2 0 07 Dec 2023
Class-Discriminative Attention Maps for Vision Transformers L. Brocki Jakub Binda N. C. Chung MedIm 30 3 0 04 Dec 2023