Explaining Classifiers with Causal Concept Effect (CaCE)

16 July 2019

Papers citing "Explaining Classifiers with Causal Concept Effect (CaCE)"

50 / 55 papers shown

Title
Sample-efficient Learning of Concepts with Theoretical Guarantees: from Data to Concepts without Interventions H. Fokkema T. Erven Sara Magliacane 75 1 0 10 Feb 2025
GIFT: A Framework for Global Interpretable Faithful Textual Explanations of Vision Classifiers Éloi Zablocki Valentin Gerard Amaia Cardiel Eric Gaussier Matthieu Cord Eduardo Valle 95 0 0 23 Nov 2024
CausalConceptTS: Causal Attributions for Time Series Classification using High Fidelity Diffusion Models Juan Miguel Lopez Alcaraz Nils Strodthoff DiffM AI4TS CML 34 3 0 24 May 2024
Measuring Feature Dependency of Neural Networks by Collapsing Feature Dimensions in the Data Manifold Yinzhu Jin Matthew B. Dwyer P. T. Fletcher MedIm 23 0 0 18 Apr 2024
Implementing local-explainability in Gradient Boosting Trees: Feature Contribution Ángel Delgado-Panadero Beatriz Hernández-Lorca María Teresa García-Ordás J. Benítez-Andrades 51 52 0 14 Feb 2024
A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia Giovanni Monea Maxime Peyrard Martin Josifoski Vishrav Chaudhary Jason Eisner Emre Kiciman Hamid Palangi Barun Patra Robert West KELM 61 12 0 04 Dec 2023
Interpreting Pretrained Language Models via Concept Bottlenecks Zhen Tan Lu Cheng Song Wang Yuan Bo Wenlin Yao Huan Liu LRM 47 21 0 08 Nov 2023
Uncovering Unique Concept Vectors through Latent Space Decomposition Mara Graziani Laura Mahony An-phi Nguyen Henning Muller Vincent Andrearczyk 48 4 0 13 Jul 2023
Linking a predictive model to causal effect estimation Jiuyong Li Lin Liu Ziqi Xu Ha Xuan Tran T. Le Jixue Liu CML 33 0 0 10 Apr 2023
Towards Learning and Explaining Indirect Causal Effects in Neural Networks Abbaavaram Gowtham Reddy Saketh Bachu Harsh Nilesh Pathak Ben Godfrey V. Balasubramanian V. Varshaneya Satya Narayanan Kar CML 36 1 0 24 Mar 2023
CEnt: An Entropy-based Model-agnostic Explainability Framework to Contrast Classifiers' Decisions Julia El Zini Mohamad Mansour M. Awad 38 1 0 19 Jan 2023
Explainable AI for Bioinformatics: Methods, Tools, and Applications Md. Rezaul Karim Tanhim Islam Oya Beyan Christoph Lange Michael Cochez Dietrich-Rebholz Schuhmann Stefan Decker 40 68 0 25 Dec 2022
Adapting to Latent Subgroup Shifts via Concepts and Proxies Ibrahim M. Alabdulmohsin Nicole Chiou Alexander DÁmour Arthur Gretton Sanmi Koyejo Matt J. Kusner Stephen R. Pfohl Olawale Salaudeen Jessica Schrouff Katherine Tsai 72 9 0 21 Dec 2022
Understanding and Enhancing Robustness of Concept-based Models Sanchit Sinha Mengdi Huai Jianhui Sun Aidong Zhang AAML 42 19 0 29 Nov 2022
Latent SHAP: Toward Practical Human-Interpretable Explanations Ron Bitton Alon Malach Amiel Meiseles Satoru Momiyama Toshinori Araki Jun Furukawa Yuval Elovici A. Shabtai FAtt 11 4 0 27 Nov 2022
Causal Proxy Models for Concept-Based Model Explanations Zhengxuan Wu Karel DÓosterlinck Atticus Geiger Amir Zur Christopher Potts MILM 83 35 0 28 Sep 2022
Explainable AI for clinical and remote health applications: a survey on tabular and time series data Flavio Di Martino Franca Delmastro AI4TS 33 91 0 14 Sep 2022
Unit Testing for Concepts in Neural Networks Charles Lovering Ellie Pavlick 25 28 0 28 Jul 2022
Spatial-temporal Concept based Explanation of 3D ConvNets Yi Ji Yu Wang K. Mori Jien Kato 3DPC FAtt 32 7 0 09 Jun 2022
Post-hoc Concept Bottleneck Models Mert Yuksekgonul Maggie Wang James Zou 147 188 0 31 May 2022
Clinical outcome prediction under hypothetical interventions -- a representation learning framework for counterfactual reasoning Yikuan Li M. Mamouei Shishir Rao A. Hassaine D. Canoy Thomas Lukasiewicz K. Rahimi G. Salimi-Khorshidi OOD CML AI4CE 36 1 0 15 May 2022
Do Users Benefit From Interpretable Vision? A User Study, Baseline, And Dataset Leon Sixt M. Schuessler Oana-Iuliana Popescu Philipp Weiß Tim Landgraf FAtt 37 14 0 25 Apr 2022
ConceptExplainer: Interactive Explanation for Deep Neural Networks from a Concept Perspective Jinbin Huang Aditi Mishra Bum Chul Kwon Chris Bryan FAtt HAI 51 31 0 04 Apr 2022
Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries Haekyu Park Seongmin Lee Benjamin Hoover Austin P. Wright Omar Shaikh Rahul Duggal Nilaksh Das Kevin Wenliang Li Judy Hoffman Duen Horng Chau 39 2 0 30 Mar 2022
Concept Embedding Analysis: A Review Gesina Schwalbe 34 28 0 25 Mar 2022
Human-Centered Concept Explanations for Neural Networks Chih-Kuan Yeh Been Kim Pradeep Ravikumar FAtt 47 26 0 25 Feb 2022
Evaluation Methods and Measures for Causal Learning Algorithms Lu Cheng Ruocheng Guo Raha Moraffah Paras Sheth K. S. Candan Huan Liu CML ELM 31 51 0 07 Feb 2022
Which Style Makes Me Attractive? Interpretable Control Discovery and Counterfactual Explanation on StyleGAN Yangqiu Song Qiulin Wang Jiquan Pei Yu Yang Xiangyang Ji CVBM 37 3 0 24 Jan 2022
A Causal Lens for Controllable Text Generation Zhiting Hu Erran L. Li 50 60 0 22 Jan 2022
On Causally Disentangled Representations Abbavaram Gowtham Reddy Benin Godfrey L V. Balasubramanian OOD CML 45 21 0 10 Dec 2021
Editing a classifier by rewriting its prediction rules Shibani Santurkar Dimitris Tsipras Mahalaxmi Elango David Bau Antonio Torralba Aleksander Madry KELM 188 89 0 02 Dec 2021
Matching Learned Causal Effects of Neural Networks with Domain Priors Sai Srinivas Kancheti Abbavaram Gowtham Reddy V. Balasubramanian Amit Sharma CML 36 13 0 24 Nov 2021
Double Trouble: How to not explain a text classifier's decisions using counterfactuals synthesized by masked language models? Thang M. Pham Trung H. Bui Long Mai Anh Totti Nguyen 28 7 0 22 Oct 2021
Unsupervised Causal Binary Concepts Discovery with VAE for Black-box Model Explanation Thien Q. Tran Kazuto Fukuchi Youhei Akimoto Jun Sakuma CML 45 10 0 09 Sep 2021
Instance-wise or Class-wise? A Tale of Neighbor Shapley for Concept-based Explanation Jiahui Li Kun Kuang Lin Li Long Chen Songyang Zhang Jian Shao Jun Xiao FAtt 20 18 0 03 Sep 2021
Entropy-based Logic Explanations of Neural Networks Pietro Barbiero Gabriele Ciravegna Francesco Giannini Pietro Lio Marco Gori S. Melacci FAtt XAI 30 78 0 12 Jun 2021
What if This Modified That? Syntactic Interventions via Counterfactual Embeddings Mycal Tucker Peng Qian R. Levy 30 38 0 28 May 2021
Leveraging Sparse Linear Layers for Debuggable Deep Networks Eric Wong Shibani Santurkar Aleksander Madry FAtt 22 88 0 11 May 2021
Rationalization through Concepts Diego Antognini Boi Faltings FAtt 27 19 0 11 May 2021
Explaining in Style: Training a GAN to explain a classifier in StyleSpace Oran Lang Yossi Gandelsman Michal Yarom Yoav Wald G. Elidan ... William T. Freeman Phillip Isola Amir Globerson Michal Irani Inbar Mosseri GAN 50 152 0 27 Apr 2021
Model Compression for Domain Adaptation through Causal Effect Estimation Guy Rotman Amir Feder Roi Reichart CML 14 7 0 18 Jan 2021
Counterfactual Generative Networks Axel Sauer Andreas Geiger OOD BDL CML 46 124 0 15 Jan 2021
Unbox the Blackbox: Predict and Interpret YouTube Viewership Using Deep Learning Jiaheng Xie Xinyu Liu HAI 36 10 0 21 Dec 2020
Concept-based model explanations for Electronic Health Records Diana Mincu Eric Loreaux Shaobo Hou Sebastien Baur Ivan V. Protsyuk Martin G. Seneviratne A. Mottram Nenad Tomašev Alan Karthikesanlingam Jessica Schrouff 19 28 0 03 Dec 2020
Understanding Failures of Deep Networks via Robust Feature Extraction Sahil Singla Besmira Nushi S. Shah Ece Kamar Eric Horvitz FAtt 28 83 0 03 Dec 2020
Now You See Me (CME): Concept-based Model Extraction Dmitry Kazhdan B. Dimanov M. Jamnik Pietro Lio Adrian Weller 25 72 0 25 Oct 2020
Debiasing Concept-based Explanations with Causal Analysis M. T. Bahadori David Heckerman FAtt CML 21 39 0 22 Jul 2020
Concept Bottleneck Models Pang Wei Koh Thao Nguyen Y. S. Tang Stephen Mussmann Emma Pierson Been Kim Percy Liang 45 784 0 09 Jul 2020
Unifying Model Explainability and Robustness via Machine-Checkable Concepts Vedant Nanda Till Speicher John P. Dickerson Krishna P. Gummadi Muhammad Bilal Zafar AAML 14 4 0 01 Jul 2020
Generative causal explanations of black-box classifiers Matthew R. O’Shaughnessy Gregory H. Canal Marissa Connor Mark A. Davenport Christopher Rozell CML 35 73 0 24 Jun 2020