Explaining Explanations: An Overview of Interpretability of Machine Learning

31 May 2018

Papers citing "Explaining Explanations: An Overview of Interpretability of Machine Learning"

50 / 168 papers shown

Title
Integrating Earth Observation Data into Causal Inference: Challenges and Opportunities Connor Jerzak Fredrik D. Johansson Adel Daoud CML 33 11 0 30 Jan 2023
Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations Valerie Chen Q. V. Liao Jennifer Wortman Vaughan Gagan Bansal 36 103 0 18 Jan 2023
On the explainability of quantum neural networks based on variational quantum circuits Ammar Daskin MLT FAtt 23 2 0 12 Jan 2023
Mapping Knowledge Representations to Concepts: A Review and New Perspectives Lars Holmberg P. Davidsson Per Linde 26 1 0 31 Dec 2022
The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations Angelos Chatzimparmpas R. Martins I. Jusufi K. Kucher Fabrice Rossi A. Kerren FAtt 24 160 0 22 Dec 2022
Bort: Towards Explainable Neural Networks with Bounded Orthogonal Constraint Borui Zhang Wenzhao Zheng Jie Zhou Jiwen Lu AAML 23 7 0 18 Dec 2022
Manifestations of Xenophobia in AI Systems Nenad Tomašev J. L. Maynard Iason Gabriel 24 9 0 15 Dec 2022
Interpretable ML for Imbalanced Data Damien Dablain C. Bellinger Bartosz Krawczyk D. Aha Nitesh V. Chawla 22 1 0 15 Dec 2022
The Role of AI in Drug Discovery: Challenges, Opportunities, and Strategies Alexandre Blanco-Gonzalez Alfonso Cabezon Alejandro Seco-Gonzalez Daniel Conde-Torres Paula Antelo-Riveiro Ángel Piñeiro R. García‐Fandiño 14 254 0 08 Dec 2022
A Modality-level Explainable Framework for Misinformation Checking in Social Networks Vítor Lourencco A. Paes 22 3 0 08 Dec 2022
Towards Explainability in Modular Autonomous Vehicle Software Hongrui Zheng Zirui Zang Shuo Yang Rahul Mangharam 25 0 0 01 Dec 2022
Explainable Artificial Intelligence: Precepts, Methods, and Opportunities for Research in Construction Peter E. D. Love Weili Fang J. Matthews Stuart Porter Hanbin Luo L. Ding XAI 29 7 0 12 Nov 2022
REVEL Framework to measure Local Linear Explanations for black-box models: Deep Learning Image Classification case of study Iván Sevillano-García Julián Luengo-Martín Francisco Herrera XAI FAtt 19 7 0 11 Nov 2022
A $k$ -additive Choquet integral-based approach to approximate the SHAP values for local interpretability in machine learning G. D. Pelegrina L. Duarte M. Grabisch FAtt TDI 33 27 0 03 Nov 2022
Machine Learning in Transaction Monitoring: The Prospect of xAI Julie Gerlings Ioanna D. Constantiou 17 2 0 14 Oct 2022
On the Explainability of Natural Language Processing Deep Models Julia El Zini M. Awad 25 82 0 13 Oct 2022
Quantitative Metrics for Evaluating Explanations of Video DeepFake Detectors Federico Baldassarre Quentin Debard Gonzalo Fiz Pontiveros Tri Kurniawan Wijaya 36 4 0 07 Oct 2022
Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making Jakob Schoeffer Maria De-Arteaga Niklas Kuehl FaML 36 45 0 23 Sep 2022
Quantile-constrained Wasserstein projections for robust interpretability of numerical and machine learning models Marouane Il Idrissi Nicolas Bousquet Fabrice Gamboa Bertrand Iooss Jean-Michel Loubes 29 2 0 23 Sep 2022
"Mama Always Had a Way of Explaining Things So I Could Understand'': A Dialogue Corpus for Learning to Construct Explanations Henning Wachsmuth Milad Alshomary 24 12 0 06 Sep 2022
Making the black-box brighter: interpreting machine learning algorithm for forecasting drilling accidents E. Gurina Nikita Klyuchnikov Ksenia Antipova D. Koroteev FAtt 25 8 0 06 Sep 2022
Interpretable Fake News Detection with Topic and Deep Variational Models Marjan Hosseini Alireza Javadian Sabet Suining He Derek Aguiar 19 20 0 04 Sep 2022
Causality-Inspired Taxonomy for Explainable Artificial Intelligence Pedro C. Neto Tiago B. Gonccalves João Ribeiro Pinto W. Silva Ana F. Sequeira Arun Ross Jaime S. Cardoso XAI 26 12 0 19 Aug 2022
An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain Injury Amin Nayebi Sindhu Tipirneni Brandon Foreman Chandan K. Reddy V. Subbian 24 3 0 13 Aug 2022
Learning an Interpretable Model for Driver Behavior Prediction with Inductive Biases Salar Arbabi D. Tavernini Saber Fallah Richard Bowden 30 7 0 31 Jul 2022
Mediators: Conversational Agents Explaining NLP Model Behavior Nils Feldhus A. Ravichandran Sebastian Möller 27 16 0 13 Jun 2022
Explainable Artificial Intelligence (XAI) for Internet of Things: A Survey İbrahim Kök Feyza Yıldırım Okay Özgecan Muyanlı S. Özdemir XAI 12 51 0 07 Jun 2022
What You See is What You Classify: Black Box Attributions Steven Stalder Nathanael Perraudin R. Achanta F. Pérez-Cruz Michele Volpi FAtt 24 9 0 23 May 2022
How Platform-User Power Relations Shape Algorithmic Accountability: A Case Study of Instant Loan Platforms and Financially Stressed Users in India Divya Ramesh Vaishnav Kameswaran Ding-wen Wang Nithya Sambasivan 19 35 0 11 May 2022
Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderation Vivian Lai Samuel Carton Rajat Bhatnagar Vera Liao Yunfeng Zhang Chenhao Tan 18 129 0 25 Apr 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 24 14 0 25 Apr 2022
CLEVR-X: A Visual Reasoning Dataset for Natural Language Explanations Leonard Salewski A. Sophia Koepke Hendrik P. A. Lensch Zeynep Akata LRM NAI 25 20 0 05 Apr 2022
ConceptExplainer: Interactive Explanation for Deep Neural Networks from a Concept Perspective Jinbin Huang Aditi Mishra Bum Chul Kwon Chris Bryan FAtt HAI 34 31 0 04 Apr 2022
Concept Embedding Analysis: A Review Gesina Schwalbe 19 28 0 25 Mar 2022
Improving Health Mentioning Classification of Tweets using Contrastive Adversarial Training Pervaiz Iqbal Khan Shoaib Ahmed Siddiqui Imran Razzak Andreas Dengel Sheraz Ahmed 13 3 0 03 Mar 2022
NeuroView-RNN: It's About Time C. Barberan Sina Alemohammad Naiming Liu Randall Balestriero Richard G. Baraniuk AI4TS HAI 33 2 0 23 Feb 2022
Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF Jayneel Parekh Sanjeel Parekh Pavlo Mozharovskyi Florence dÁlché-Buc G. Richard 11 22 0 23 Feb 2022
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective Satyapriya Krishna Tessa Han Alex Gu Steven Wu S. Jabbari Himabindu Lakkaraju 172 185 0 03 Feb 2022
Visualizing Automatic Speech Recognition -- Means for a Better Understanding? Karla Markert Romain Parracone Mykhailo Kulakov Philip Sperl Ching-yu Kao Konstantin Böttinger 11 8 0 01 Feb 2022
Black-box Error Diagnosis in Deep Neural Networks for Computer Vision: a Survey of Tools Piero Fraternali Federico Milani Rocio Nahime Torres Niccolò Zangrando AAML 25 9 0 17 Jan 2022
Explainability Is in the Mind of the Beholder: Establishing the Foundations of Explainable Artificial Intelligence Kacper Sokol Peter A. Flach 31 20 0 29 Dec 2021
AcME -- Accelerated Model-agnostic Explanations: Fast Whitening of the Machine-Learning Black Box David Dandolo Chiara Masiero Mattia Carletti Davide Dalle Pezze Gian Antonio Susto FAtt LRM 22 22 0 23 Dec 2021
Global explainability in aligned image modalities Justin Engelmann Amos Storkey Miguel O. Bernabeu FAtt 14 4 0 17 Dec 2021
HIVE: Evaluating the Human Interpretability of Visual Explanations Sunnie S. Y. Kim Nicole Meister V. V. Ramaswamy Ruth C. Fong Olga Russakovsky 58 114 0 06 Dec 2021
A Survey on the Robustness of Feature Importance and Counterfactual Explanations Saumitra Mishra Sanghamitra Dutta Jason Long Daniele Magazzeni AAML 9 58 0 30 Oct 2021
Learning Rich Nearest Neighbor Representations from Self-supervised Ensembles Bram Wallace Devansh Arpit Huan Wang Caiming Xiong SSL OOD 22 0 0 19 Oct 2021
Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings Jan Macdonald Mathieu Besançon S. Pokutta 27 11 0 15 Oct 2021
Foundations of Symbolic Languages for Model Interpretability Marcelo Arenas Daniel Baez Pablo Barceló Jorge A. Pérez Bernardo Subercaseaux ReLM LRM 14 24 0 05 Oct 2021
Generating User-Centred Explanations via Illocutionary Question Answering: From Philosophy to Interfaces Francesco Sovrano F. Vitali 32 14 0 02 Oct 2021
LEMON: Explainable Entity Matching Nils Barlaug FAtt AAML 12 9 0 01 Oct 2021