Contextual Explanation Networks

29 May 2017

Papers citing "Contextual Explanation Networks"

44 / 44 papers shown

Title
Prediction via Shapley Value Regression Amr Alkhatib Roman Bresson Henrik Bostrom Michalis Vazirgiannis TDI FAtt 64 0 0 07 May 2025
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models Jayneel Parekh Quentin Bouniot Pavlo Mozharovskyi A. Newson Florence dÁlché-Buc SSL 61 1 0 01 Jul 2024
A tree-based varying coefficient model Henning Zakrisson Mathias Lindholm 30 1 0 11 Jan 2024
Contextual Feature Selection with Conditional Stochastic Gates Ram Dyuthi Sristi Ofir Lindenbaum Shira Lifshitz Maria Lavzin Jackie Schiller Gal Mishne Hadas Benisty 11 2 0 21 Dec 2023
Contextualized Machine Learning Ben Lengerich Caleb N. Ellington Andrea Rubbi Manolis Kellis Eric P. Xing BDL 14 7 0 17 Oct 2023
Contextualized Policy Recovery: Modeling and Interpreting Medical Decisions with Adaptive Imitation Learning J. Deuschel Caleb N. Ellington Yingtao Luo Benjamin J. Lengerich Pascal Friederich Eric P. Xing OffRL 28 5 0 11 Oct 2023
Interpretability-Aware Vision Transformer Yao Qiang Chengyin Li Prashant Khanduri D. Zhu ViT 82 7 0 14 Sep 2023
Interpretable Graph Neural Networks for Tabular Data Amr Alkhatib Sofiane Ennadir Henrik Bostrom Michalis Vazirgiannis LMTD 30 4 0 17 Aug 2023
ForestMonkey: Toolkit for Reasoning with AI-based Defect Detection and Classification Models Jiajun Zhang Georgina Cosma S. L. Bugby Jason Watkins 11 1 0 25 Jul 2023
A Brief Review of Explainable Artificial Intelligence in Healthcare Zahra Sadeghi R. Alizadehsani M. Cifci Samina Kausar Rizwan Rehman ... A. Shoeibi H. Moosaei Milan Hladík Saeid Nahavandi P. Pardalos 19 13 0 04 Apr 2023
The Contextual Lasso: Sparse Linear Models via Deep Neural Networks Ryan Thompson Amir Dezfouli Robert Kohn 31 4 0 02 Feb 2023
Movement Analytics: Current Status, Application to Manufacturing, and Future Prospects from an AI Perspective Peter Baumgartner Daniel V. Smith Mashud Rana Reena Kapoor Elena Tartaglia A. Schutt Ashfaqur Rahman John Taylor S. Dunstall 27 4 0 04 Oct 2022
Shap-CAM: Visual Explanations for Convolutional Neural Networks based on Shapley Value Quan Zheng Ziwei Wang Jie Zhou Jiwen Lu FAtt 20 31 0 07 Aug 2022
NOTMAD: Estimating Bayesian Networks with Sample-Specific Structures and Parameters Ben Lengerich Caleb N. Ellington Bryon Aragam Eric P. Xing Manolis Kellis CML 13 6 0 01 Nov 2021
Toward a Unified Framework for Debugging Concept-based Models A. Bontempelli Fausto Giunchiglia Andrea Passerini Stefano Teso 20 4 0 23 Sep 2021
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions Eike Petersen Yannik Potdevin Esfandiar Mohammadi Stephan Zidowitz Sabrina Breyer ... Sandra Henn Ludwig Pechmann M. Leucker P. Rostalski Christian Herzog FaML AILaw OOD 27 21 0 20 Jul 2021
A Review on Explainability in Multimodal Deep Neural Nets Gargi Joshi Rahee Walambe K. Kotecha 23 138 0 17 May 2021
XAI Handbook: Towards a Unified Framework for Explainable AI Sebastián M. Palacio Adriano Lucieri Mohsin Munir Jörn Hees Sheraz Ahmed Andreas Dengel 23 32 0 14 May 2021
Learning to Predict with Supporting Evidence: Applications to Clinical Risk Prediction Aniruddh Raghu John Guttag K. Young E. Pomerantsev Adrian V. Dalca Collin M. Stultz 9 9 0 04 Mar 2021
Challenging common interpretability assumptions in feature attribution explanations Jonathan Dinu Jeffrey P. Bigham J. Z. K. Unaffiliated 14 14 0 04 Dec 2020
Interpretability and Explainability: A Machine Learning Zoo Mini-tour Ricards Marcinkevics Julia E. Vogt XAI 20 119 0 03 Dec 2020
What Did You Think Would Happen? Explaining Agent Behaviour Through Intended Outcomes Herman Yau Chris Russell Simon Hadfield FAtt LRM 26 36 0 10 Nov 2020
A Framework to Learn with Interpretation Jayneel Parekh Pavlo Mozharovskyi Florence dÁlché-Buc AI4CE FAtt 14 30 0 19 Oct 2020
A Comprehensive Survey of Machine Learning Applied to Radar Signal Processing Ping Lang Xiongjun Fu M. Martorella Jian Dong Rui Qin Xianpeng Meng M. Xie 23 39 0 29 Sep 2020
Generative causal explanations of black-box classifiers Matthew R. O’Shaughnessy Gregory H. Canal Marissa Connor Mark A. Davenport Christopher Rozell CML 25 73 0 24 Jun 2020
Regularizing Reasons for Outfit Evaluation with Gradient Penalty Xingxing Zou Zhizhong Li Ke Bai Dahua Lin W. Wong 11 6 0 02 Feb 2020
A Step Towards Exposing Bias in Trained Deep Convolutional Neural Network Models Daniel Omeiza FAtt 11 0 0 03 Dec 2019
Learning Sample-Specific Models with Low-Rank Personalized Regression Benjamin J. Lengerich Bryon Aragam Eric P. Xing 14 22 0 15 Oct 2019
On perfectness in Gaussian graphical models Arash A. Amini Bryon Aragam Qing Zhou 24 7 0 03 Sep 2019
Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models Daniel Omeiza Skyler Speakman C. Cintas Komminist Weldemariam FAtt 14 216 0 03 Aug 2019
Grid Saliency for Context Explanations of Semantic Segmentation Lukas Hoyer Mauricio Muñoz P. Katiyar Anna Khoreva Volker Fischer FAtt 17 48 0 30 Jul 2019
Interpretability Beyond Classification Output: Semantic Bottleneck Networks M. Losch Mario Fritz Bernt Schiele UQCV 23 60 0 25 Jul 2019
Text Generation with Exemplar-based Adaptive Decoding Hao Peng Ankur P. Parikh Manaal Faruqui Bhuwan Dhingra Dipanjan Das 26 57 0 09 Apr 2019
Functional Transparency for Structured Data: a Game-Theoretic Approach Guang-He Lee Wengong Jin David Alvarez-Melis Tommi Jaakkola 13 19 0 26 Feb 2019
Regularizing Black-box Models for Improved Interpretability Gregory Plumb Maruan Al-Shedivat Ángel Alexander Cabrera Adam Perer Eric P. Xing Ameet Talwalkar AAML 14 79 0 18 Feb 2019
Contextual Parameter Generation for Universal Neural Machine Translation Emmanouil Antonios Platanios Mrinmaya Sachan Graham Neubig Tom Michael Mitchell 17 149 0 26 Aug 2018
Game-Theoretic Interpretability for Temporal Modeling Guang-He Lee David Alvarez-Melis Tommi Jaakkola AI4TS 11 6 0 30 Jun 2018
Modular meta-learning Ferran Alet Tomás Lozano-Pérez L. Kaelbling OffRL 16 120 0 26 Jun 2018
Towards Robust Interpretability with Self-Explaining Neural Networks David Alvarez-Melis Tommi Jaakkola MILM XAI 15 932 0 20 Jun 2018
Transformation Autoregressive Networks Junier B. Oliva Kumar Avinava Dubey Manzil Zaheer Barnabás Póczós Ruslan Salakhutdinov Eric P. Xing J. Schneider OOD 20 86 0 30 Jan 2018
Personalized Survival Prediction with Contextual Explanation Networks Maruan Al-Shedivat Kumar Avinava Dubey Eric P. Xing 18 5 0 30 Jan 2018
The Intriguing Properties of Model Explanations Maruan Al-Shedivat Kumar Avinava Dubey Eric P. Xing FAtt 19 7 0 30 Jan 2018
Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks Aditya Chattopadhyay Anirban Sarkar Prantik Howlader V. Balasubramanian FAtt 19 2,248 0 30 Oct 2017
Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments Maruan Al-Shedivat Trapit Bansal Yuri Burda Ilya Sutskever Igor Mordatch Pieter Abbeel CLL 17 354 0 10 Oct 2017