Explaining by Removing: A Unified Framework for Model Explanation

21 November 2020

Papers citing "Explaining by Removing: A Unified Framework for Model Explanation"

50 / 150 papers shown

Title
DocVXQA: Context-Aware Visual Explanations for Document Question Answering Mohamed Ali Souibgui Changkyu Choi Andrey Barsky Kangsoo Jung Ernest Valveny Dimosthenis Karatzas 25 0 0 12 May 2025
Prediction via Shapley Value Regression Amr Alkhatib Roman Bresson Henrik Bostrom Michalis Vazirgiannis TDI FAtt 64 0 0 07 May 2025
Why and How LLMs Hallucinate: Connecting the Dots with Subsequence Associations Yiyou Sun Y. Gai Lijie Chen Abhilasha Ravichander Yejin Choi D. Song HILM 57 0 0 17 Apr 2025
FW-Shapley: Real-time Estimation of Weighted Shapley Values Pranoy Panda Siddharth Tandon V. Balasubramanian TDI 65 0 0 09 Mar 2025
Mechanistic Unveiling of Transformer Circuits: Self-Influence as a Key to Model Reasoning L. Zhang Lijie Hu Di Wang LRM 92 0 0 17 Feb 2025
Building Bridges, Not Walls -- Advancing Interpretability by Unifying Feature, Data, and Model Component Attribution Shichang Zhang Tessa Han Usha Bhalla Hima Lakkaraju FAtt 147 0 0 17 Feb 2025
Attention Mechanisms Don't Learn Additive Models: Rethinking Feature Importance for Transformers Tobias Leemann Alina Fastowski Felix Pfeiffer Gjergji Kasneci 59 4 0 10 Jan 2025
Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory Fabian Fumagalli Maximilian Muschalik Eyke Hüllermeier Barbara Hammer J. Herbinger FAtt 39 1 0 22 Dec 2024
NormXLogit: The Head-on-Top Never Lies Sina Abbasi Mohammad Reza Modarres Mohammad Taher Pilehvar 64 0 0 25 Nov 2024
Sensitivity Analysis on Policy-Augmented Graphical Hybrid Models with Shapley Value Estimation Junkai Zhao Wei Xie Jun Luo 59 0 0 20 Nov 2024
Deep Nonparametric Conditional Independence Tests for Images Marco Simnacher Xiangnan Xu Hani Park Christoph Lippert Sonja Greven 39 1 0 09 Nov 2024
Explanations that reveal all through the definition of encoding A. Puli Nhi Nguyen Rajesh Ranganath FAtt XAI 36 1 0 04 Nov 2024
SPES: Spectrogram Perturbation for Explainable Speech-to-Text Generation Dennis Fucci Marco Gaido Beatrice Savoldi Matteo Negri Mauro Cettolo L. Bentivogli 54 1 0 03 Nov 2024
Disentangling Interactions and Dependencies in Feature Attribution Gunnar König Eric Günther Ulrike von Luxburg FAtt 53 1 0 31 Oct 2024
Locality Alignment Improves Vision-Language Models Ian Covert Tony Sun James Y. Zou Tatsunori Hashimoto VLM 67 3 0 14 Oct 2024
Bridging Today and the Future of Humanity: AI Safety in 2024 and Beyond Shanshan Han 78 1 0 09 Oct 2024
Improving the Weighting Strategy in KernelSHAP Lars Henry Berge Olsen Martin Jullum TDI FAtt 71 2 0 07 Oct 2024
shapiq: Shapley Interactions for Machine Learning Maximilian Muschalik Hubert Baniecki Fabian Fumagalli Patrick Kolpaczki Barbara Hammer Eyke Hüllermeier TDI 27 9 0 02 Oct 2024
Sufficient and Necessary Explanations (and What Lies in Between) Beepul Bharti P. Yi Jeremias Sulam XAI FAtt 18 0 0 30 Sep 2024
Optimal ablation for interpretability Maximilian Li Lucas Janson FAtt 47 2 0 16 Sep 2024
Feature Importance in Pedestrian Intention Prediction: A Context-Aware Review Mohsen Azarmi Mahdi Rezaei He Wang Ali Arabian 37 1 0 11 Sep 2024
ContextCite: Attributing Model Generation to Context Benjamin Cohen-Wang Harshay Shah Kristian Georgiev Aleksander Madry LRM 30 18 0 01 Sep 2024
Explanatory Model Monitoring to Understand the Effects of Feature Shifts on Performance Thomas Decker Alexander Koebler Michael Lebacher Ingo Thon Volker Tresp Florian Buettner 24 1 0 24 Aug 2024
Shapley Marginal Surplus for Strong Models Daniel de Marchi Michael Kosorok Scott de Marchi TDI FAtt 16 0 0 16 Aug 2024
Cognitive Networks and Performance Drive fMRI-Based State Classification Using DNN Models Murat Kucukosmanoglu Javier O. Garcia Justin Brooks Kanika Bansal 22 0 0 14 Aug 2024
From Feature Importance to Natural Language Explanations Using LLMs with RAG Sule Tekkesinoglu Lars Kunze FAtt 24 1 0 30 Jul 2024
Collaborative Performance Prediction for Large Language Models Qiyuan Zhang Fuyuan Lyu Xue Liu Chen Ma 30 3 0 01 Jul 2024
Efficient and Accurate Explanation Estimation with Distribution Compression Hubert Baniecki Giuseppe Casalicchio Bernd Bischl Przemyslaw Biecek FAtt 46 3 0 26 Jun 2024
Leveraging Activations for Superpixel Explanations Ahcène Boubekki Samuel G. Fadel Sebastian Mair AAML FAtt XAI 27 0 0 07 Jun 2024
CausalConceptTS: Causal Attributions for Time Series Classification using High Fidelity Diffusion Models Juan Miguel Lopez Alcaraz Nils Strodthoff DiffM AI4TS CML 29 2 0 24 May 2024
KernelSHAP-IQ: Weighted Least-Square Optimization for Shapley Interactions Fabian Fumagalli Maximilian Muschalik Patrick Kolpaczki Eyke Hüllermeier Barbara Hammer 38 6 0 17 May 2024
Counterfactual Explanations for Deep Learning-Based Traffic Forecasting Rushan Wang Yanan Xin Yatao Zhang Fernando Pérez-Cruz Martin Raubal AI4TS 29 3 0 01 May 2024
Neural Dynamic Data Valuation Zhangyong Liang Huanhuan Gao Ji Zhang TDI 40 1 0 30 Apr 2024
Interactive Analysis of LLMs using Meaningful Counterfactuals Furui Cheng Vilém Zouhar Robin Shing Moon Chan Daniel Fürst Hendrik Strobelt Mennatallah El-Assady 19 10 0 23 Apr 2024
Mechanistic Interpretability for AI Safety -- A Review Leonard Bereska E. Gavves AI4CE 40 111 0 22 Apr 2024
Error Analysis of Shapley Value-Based Model Explanations: An Informative Perspective Ningsheng Zhao Jia Yuan Yu Krzysztof Dzieciolowski Trang Bui TDI FAtt 24 0 0 21 Apr 2024
A Guide to Feature Importance Methods for Scientific Inference F. K. Ewald Ludwig Bothmann Marvin N. Wright B. Bischl Giuseppe Casalicchio Gunnar Konig 30 10 0 19 Apr 2024
XPose: eXplainable Human Pose Estimation Luyu Qiu Jianing Li Lei Wen Chi Su Fei Hao C. Zhang Lei Chen 22 0 0 19 Mar 2024
EcoVal: An Efficient Data Valuation Framework for Machine Learning Ayush K Tarun Vikram S Chundawat Murari Mandal Hong Ming Tan Bowei Chen Mohan S. Kankanhalli TDI 25 0 0 14 Feb 2024
Variational Shapley Network: A Probabilistic Approach to Self-Explaining Shapley values with Uncertainty Quantification Mert Ketenci Inigo Urteaga Victor Alfonso Rodriguez Noémie Elhadad A. Perotte FAtt 15 0 0 06 Feb 2024
Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution Ian Covert Chanwoo Kim Su-In Lee James Y. Zou Tatsunori Hashimoto TDI 27 7 0 29 Jan 2024
Decoupling Pixel Flipping and Occlusion Strategy for Consistent XAI Benchmarks Stefan Blücher Johanna Vielhaben Nils Strodthoff AAML 63 20 0 12 Jan 2024
DeRDaVa: Deletion-Robust Data Valuation for Machine Learning Xiao Tian Rachael Hwee Ling Sim Jue Fan K. H. Low TDI 17 2 0 18 Dec 2023
Precision of Individual Shapley Value Explanations Lars Henry Berge Olsen TDI FAtt 16 1 0 06 Dec 2023
TextGenSHAP: Scalable Post-hoc Explanations in Text Generation with Long Documents James Enouen Hootan Nakhost Sayna Ebrahimi Sercan Ö. Arik Yan Liu Tomas Pfister 33 4 0 03 Dec 2023
GLIME: General, Stable and Local LIME Explanation Zeren Tan Yang Tian Jian Li FAtt LRM 11 18 0 27 Nov 2023
Attribution and Alignment: Effects of Local Context Repetition on Utterance Production and Comprehension in Dialogue Aron Molnar Jaap Jumelet Mario Giulianelli Arabella J. Sinclair 25 2 0 21 Nov 2023
Deep Tensor Network Yifan Zhang 18 0 0 18 Nov 2023
A novel post-hoc explanation comparison metric and applications Shreyan Mitra Leilani H. Gilpin FAtt 31 0 0 17 Nov 2023
The Disagreement Problem in Faithfulness Metrics Brian Barr Noah Fatsi Leif Hancox-Li Peter Richter Daniel Proano Caleb Mok 36 4 0 13 Nov 2023