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Axiomatic Attribution for Deep Networks

4 March 2017

Ankur Taly

Papers citing "Axiomatic Attribution for Deep Networks"

50 / 2,871 papers shown

Title
Fixing confirmation bias in feature attribution methods via semantic match Giovanni Cina Daniel Fernandez-Llaneza Ludovico Deponte Nishant Mishra Tabea E. Rober Sandro Pezzelle Iacer Calixto Rob Goedhart cS. .Ilker Birbil FAtt 78 1 0 03 Jul 2023
Structured Network Pruning by Measuring Filter-wise Interactions Wenting Tang Xingxing Wei Yue Liu 47 0 0 03 Jul 2023
Identifying Important Sensory Feedback for Learning Locomotion Skills Wanming Yu Chuanyu Yang C. McGreavy Eleftherios Triantafyllidis Guillaume Bellegarda M. Shafiee A. Ijspeert Zhibin Li 85 16 0 29 Jun 2023
An end-to-end framework for gene expression classification by integrating a background knowledge graph: application to cancer prognosis prediction Kazuma Inoue Ryosuke Kojima M. Kamada Yasushi Okuno 35 0 0 29 Jun 2023
Increasing Performance And Sample Efficiency With Model-agnostic Interactive Feature Attributions J. Michiels Marina De Vos Johan A. K. Suykens LRM FAtt 73 0 0 28 Jun 2023
An Empirical Evaluation of the Rashomon Effect in Explainable Machine Learning Sebastian Müller Vanessa Toborek Katharina Beckh Matthias Jakobs Christian Bauckhage Pascal Welke FAtt 122 17 0 27 Jun 2023
Four Axiomatic Characterizations of the Integrated Gradients Attribution Method Daniel Lundstrom Meisam Razaviyayn FAtt 51 3 0 23 Jun 2023
Pre or Post-Softmax Scores in Gradient-based Attribution Methods, What is Best? Miguel A. Lerma Mirtha Lucas FAtt 94 3 0 22 Jun 2023
Towards Explainable Evaluation Metrics for Machine Translation Christoph Leiter Piyawat Lertvittayakumjorn M. Fomicheva Wei Zhao Yang Gao Steffen Eger ELM 104 15 0 22 Jun 2023
XAI-TRIS: Non-linear image benchmarks to quantify false positive post-hoc attribution of feature importance Benedict Clark Rick Wilming Stefan Haufe 100 5 0 22 Jun 2023
Identifying and Disentangling Spurious Features in Pretrained Image Representations R. Darbinyan Hrayr Harutyunyan Aram H. Markosyan Hrant Khachatrian 62 3 0 22 Jun 2023
Evaluating the overall sensitivity of saliency-based explanation methods Harshinee Sriram Cristina Conati AAML XAI FAtt 113 0 0 21 Jun 2023
Feature Interactions Reveal Linguistic Structure in Language Models Jaap Jumelet Willem H. Zuidema FAtt 61 7 0 21 Jun 2023
Benchmark data to study the influence of pre-training on explanation performance in MR image classification Marta Oliveira Rick Wilming Benedict Clark Céline Budding Fabian Eitel K. Ritter Stefan Haufe 57 1 0 21 Jun 2023
Evaluation of Popular XAI Applied to Clinical Prediction Models: Can They be Trusted? A. Brankovic David Cook Jessica Rahman Wenjie Huang Sankalp Khanna 68 1 0 21 Jun 2023
Computing a human-like reaction time metric from stable recurrent vision models L. Goetschalckx L. Govindarajan A. Ashok A. Ahuja David L. Sheinberg Thomas Serre 65 9 0 20 Jun 2023
Did the Models Understand Documents? Benchmarking Models for Language Understanding in Document-Level Relation Extraction Haotian Chen Bingsheng Chen Xiangdong Zhou 101 8 0 20 Jun 2023
A Novel Counterfactual Data Augmentation Method for Aspect-Based Sentiment Analysis Dongming Wu Lulu Wen Chao Chen Zhaoshu Shi 83 3 0 20 Jun 2023
A Lightweight Generative Model for Interpretable Subject-level Prediction C. Mauri Stefano Cerri Oula Puonti Mark Muhlau Koen van Leemput MedIm AI4CE 126 0 0 19 Jun 2023
B-cos Alignment for Inherently Interpretable CNNs and Vision Transformers Moritz D Boehle Navdeeppal Singh Mario Fritz Bernt Schiele 166 27 0 19 Jun 2023
Detection of Sensor-To-Sensor Variations using Explainable AI Sarah Seifi Sebastian A. Schober Cecilia Carbonelli Lorenzo Servadei Robert Wille 52 0 0 19 Jun 2023
Cross-Domain Toxic Spans Detection Stefan F. Schouten Baran Barbarestani Wondimagegnhue Tufa Piek Vossen I. Markov 42 4 0 16 Jun 2023
Can Language Models Teach Weaker Agents? Teacher Explanations Improve Students via Personalization Swarnadeep Saha Peter Hase Mohit Bansal LRM 80 11 0 15 Jun 2023
Improving Explainability of Disentangled Representations using Multipath-Attribution Mappings Lukas Klein João B. S. Carvalho Mennatallah El-Assady Paolo Penna J. M. Buhmann Paul F. Jaeger 48 4 0 15 Jun 2023
Explaining Explainability: Towards Deeper Actionable Insights into Deep Learning through Second-order Explainability E. Z. Zeng Hayden Gunraj Sheldon Fernandez Alexander Wong XAI 44 1 0 14 Jun 2023
Reliable Evaluation of Adversarial Transferability Wenqian Yu Jindong Gu Zhijiang Li Philip Torr AAML 97 8 0 14 Jun 2023
On the Robustness of Removal-Based Feature Attributions Christy Lin Ian Covert Su-In Lee 125 13 0 12 Jun 2023
Unlocking Feature Visualization for Deeper Networks with MAgnitude Constrained Optimization Thomas Fel Thibaut Boissin Victor Boutin Agustin Picard Paul Novello ... Drew Linsley Tom Rousseau Rémi Cadène Laurent Gardes Thomas Serre FAtt 92 22 0 11 Jun 2023
A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation Thomas Fel Victor Boutin Mazda Moayeri Rémi Cadène Louis Bethune Léo Andéol Mathieu Chalvidal Thomas Serre FAtt 99 64 0 11 Jun 2023
On Minimizing the Impact of Dataset Shifts on Actionable Explanations Anna P. Meyer Dan Ley Suraj Srinivas Himabindu Lakkaraju FAtt 69 6 0 11 Jun 2023
Self-Interpretable Time Series Prediction with Counterfactual Explanations Jingquan Yan Hao Wang BDL AI4TS 76 14 0 09 Jun 2023
Strategies to exploit XAI to improve classification systems Andrea Apicella Luca Di Lorenzo Francesco Isgrò A. Pollastro R. Prevete 33 11 0 09 Jun 2023
Multimodal Explainable Artificial Intelligence: A Comprehensive Review of Methodological Advances and Future Research Directions N. Rodis Christos Sardianos Panagiotis I. Radoglou-Grammatikis Panagiotis G. Sarigiannidis Iraklis Varlamis Georgios Th. Papadopoulos 111 24 0 09 Jun 2023
Explaining Predictive Uncertainty with Information Theoretic Shapley Values David S. Watson Joshua O'Hara Niek Tax Richard Mudd Ido Guy TDI FAtt 70 24 0 09 Jun 2023
Sound Explanation for Trustworthy Machine Learning Kai Jia Pasapol Saowakon L. Appelbaum Martin Rinard XAI FAtt FaML 58 2 0 08 Jun 2023
Robust Explainer Recommendation for Time Series Classification Thu Trang Nguyen Thach le Nguyen Georgiana Ifrim AI4TS 99 6 0 08 Jun 2023
Interpretable Deep Clustering for Tabular Data Jonathan Svirsky Ofir Lindenbaum 85 6 0 07 Jun 2023
Don't trust your eyes: on the (un)reliability of feature visualizations Robert Geirhos Roland S. Zimmermann Blair Bilodeau Wieland Brendel Been Kim FAtt OOD 131 31 0 07 Jun 2023
Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications Paul Pu Liang Chun Kai Ling Yun Cheng A. Obolenskiy Yudong Liu Rohan Pandey Alex Wilf Louis-Philippe Morency Ruslan Salakhutdinov OffRL 81 12 0 07 Jun 2023
On the Detectability of ChatGPT Content: Benchmarking, Methodology, and Evaluation through the Lens of Academic Writing Zeyan Liu Zijun Yao Fengjun Li Bo Luo DeLMO 93 23 0 07 Jun 2023
Adversarial attacks and defenses in explainable artificial intelligence: A survey Hubert Baniecki P. Biecek AAML 146 71 0 06 Jun 2023
Time Interpret: a Unified Model Interpretability Library for Time Series Joseph Enguehard FAtt AI4TS 70 4 0 05 Jun 2023
Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization Yebin Liu Chris Xing Tian Haoliang Li Lei Ma Shiqi Wang UQCV 98 22 0 05 Jun 2023
DecompX: Explaining Transformers Decisions by Propagating Token Decomposition Ali Modarressi Mohsen Fayyaz Ehsan Aghazadeh Yadollah Yaghoobzadeh Mohammad Taher Pilehvar 100 28 0 05 Jun 2023
Input-gradient space particle inference for neural network ensembles Trung Trinh Markus Heinonen Luigi Acerbi Samuel Kaski UQCV 75 4 0 05 Jun 2023
Sanity Checks for Saliency Methods Explaining Object Detectors Deepan Padmanabhan Paul G. Plöger Octavio Arriaga Matias Valdenegro-Toro FAtt AAML XAI 57 2 0 04 Jun 2023
Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency Owen Queen Thomas Hartvigsen Teddy Koker Huan He Theodoros Tsiligkaridis Marinka Zitnik AI4TS 98 21 0 03 Jun 2023
Painsight: An Extendable Opinion Mining Framework for Detecting Pain Points Based on Online Customer Reviews Yukyung Lee Jaehee Kim Doyoon Kim Yoo-Seok Kho Younsun Kim Pilsung Kang 74 0 0 03 Jun 2023
A Survey on Explainability of Graph Neural Networks Jaykumar Kakkad Jaspal Jannu Kartik Sharma Charu C. Aggarwal Sourav Medya 68 28 0 02 Jun 2023
Theoretical Behavior of XAI Methods in the Presence of Suppressor Variables Rick Wilming Leo Kieslich Benedict Clark Stefan Haufe 77 10 0 02 Jun 2023