Explainable Deep Learning: A Field Guide for the Uninitiated

30 April 2020

Papers citing "Explainable Deep Learning: A Field Guide for the Uninitiated"

41 / 141 papers shown

Title
When and How to Fool Explainable Models (and Humans) with Adversarial Examples Jon Vadillo Roberto Santana Jose A. Lozano SILM AAML 20 8 0 05 Jul 2021
An Imprecise SHAP as a Tool for Explaining the Class Probability Distributions under Limited Training Data Lev V. Utkin A. Konstantinov Kirill Vishniakov FAtt 15 5 0 16 Jun 2021
On the proper role of linguistically-oriented deep net analysis in linguistic theorizing Marco Baroni 11 51 0 16 Jun 2021
Interpretable agent communication from scratch (with a generic visual processor emerging on the side) Roberto Dessì Eugene Kharitonov Marco Baroni 19 27 0 08 Jun 2021
ILDC for CJPE: Indian Legal Documents Corpus for Court Judgment Prediction and Explanation Vijit Malik Rishabh Sanjay S. Nigam Kripabandhu Ghosh S. Guha Arnab Bhattacharya Ashutosh Modi ELM AILaw 13 142 0 28 May 2021
A Review on Explainability in Multimodal Deep Neural Nets Gargi Joshi Rahee Walambe K. Kotecha 6 136 0 17 May 2021
Abstraction, Validation, and Generalization for Explainable Artificial Intelligence Scott Cheng-Hsin Yang Tomas Folke Patrick Shafto 14 5 0 16 May 2021
A Comprehensive Taxonomy for Explainable Artificial Intelligence: A Systematic Survey of Surveys on Methods and Concepts Gesina Schwalbe Bettina Finzel XAI 8 178 0 15 May 2021
XAI Handbook: Towards a Unified Framework for Explainable AI Sebastián M. Palacio Adriano Lucieri Mohsin Munir Jörn Hees Sheraz Ahmed Andreas Dengel 12 31 0 14 May 2021
Explainable Artificial Intelligence for Human Decision-Support System in Medical Domain Samanta Knapic A. Malhi Rohit Saluja Kary Främling 6 98 0 05 May 2021
SurvNAM: The machine learning survival model explanation Lev V. Utkin Egor D. Satyukov A. Konstantinov AAML FAtt 34 28 0 18 Apr 2021
Explainability-aided Domain Generalization for Image Classification Robin M. Schmidt FAtt OOD 17 1 0 05 Apr 2021
Deep Learning Techniques for In-Crop Weed Identification: A Review Kun Hu Zhiyong Wang Guy R. Y. Coleman Asher Bender Tingting Yao Shan Zeng Dezhen Song Arnold Schumann Michael Walsh 12 26 0 27 Mar 2021
Preserve, Promote, or Attack? GNN Explanation via Topology Perturbation Yi Sun Abel N. Valente Sijia Liu Dakuo Wang AAML 8 7 0 25 Mar 2021
Hardware Acceleration of Explainable Machine Learning using Tensor Processing Units Zhixin Pan Prabhat Mishra 14 18 0 22 Mar 2021
Ensembles of Random SHAPs Lev V. Utkin A. Konstantinov FAtt 13 20 0 04 Mar 2021
Achieving Explainability for Plant Disease Classification with Disentangled Variational Autoencoders Harshana Habaragamuwa Y. Oishi Kenichi Tanaka 12 7 0 05 Feb 2021
How can I choose an explainer? An Application-grounded Evaluation of Post-hoc Explanations Sérgio Jesus Catarina Belém Vladimir Balayan João Bento Pedro Saleiro P. Bizarro João Gama 121 119 0 21 Jan 2021
Explainability of deep vision-based autonomous driving systems: Review and challenges Éloi Zablocki H. Ben-younes P. Pérez Matthieu Cord XAI 32 168 0 13 Jan 2021
Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting with their Explanations Wolfgang Stammer P. Schramowski Kristian Kersting FAtt 14 105 0 25 Nov 2020
Generalized Constraints as A New Mathematical Problem in Artificial Intelligence: A Review and Perspective Bao-Gang Hu Hanbing Qu AI4CE 12 1 0 12 Nov 2020
Multimodal Research in Vision and Language: A Review of Current and Emerging Trends Shagun Uppal Sarthak Bhagat Devamanyu Hazarika Navonil Majumdar Soujanya Poria Roger Zimmermann Amir Zadeh 18 6 0 19 Oct 2020
Interpretable Machine Learning with an Ensemble of Gradient Boosting Machines A. Konstantinov Lev V. Utkin FedML AI4CE 6 135 0 14 Oct 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 10 79 0 17 Sep 2020
A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research Cody Watson Nathan Cooper David Nader-Palacio Kevin Moran Denys Poshyvanyk 10 111 0 14 Sep 2020
SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition Liangzhi Li Bowen Wang Manisha Verma Yuta Nakashima R. Kawasaki Hajime Nagahara OCL 18 46 0 14 Sep 2020
Explainable Deep Learning for Uncovering Actionable Scientific Insights for Materials Discovery and Design Shusen Liu B. Kailkhura Jize Zhang A. Hiszpanski Emily Robertson Donald Loveland T. Y. Han 10 2 0 16 Jul 2020
Usefulness of interpretability methods to explain deep learning based plant stress phenotyping Koushik Nagasubramanian Asheesh K. Singh Arti Singh S. Sarkar Baskar Ganapathysubramanian FAtt 14 16 0 11 Jul 2020
A Survey on Autonomous Vehicle Control in the Era of Mixed-Autonomy: From Physics-Based to AI-Guided Driving Policy Learning Xuan Di Rongye Shi 14 173 0 10 Jul 2020
Counterfactual explanation of machine learning survival models M. Kovalev Lev V. Utkin CML OffRL 6 19 0 26 Jun 2020
Machine learning in spectral domain Lorenzo Giambagli L. Buffoni T. Carletti Walter Nocentini Duccio Fanelli 9 30 0 29 May 2020
A robust algorithm for explaining unreliable machine learning survival models using the Kolmogorov-Smirnov bounds M. Kovalev Lev V. Utkin AAML 16 31 0 05 May 2020
Improving the Interpretability of fMRI Decoding using Deep Neural Networks and Adversarial Robustness Patrick McClure Dustin Moraczewski K. Lam Adam G. Thomas Francisco Pereira FAtt AAML 6 4 0 23 Apr 2020
SurvLIME: A method for explaining machine learning survival models M. Kovalev Lev V. Utkin E. Kasimov 98 89 0 18 Mar 2020
e-SNLI: Natural Language Inference with Natural Language Explanations Oana-Maria Camburu Tim Rocktaschel Thomas Lukasiewicz Phil Blunsom LRM 252 618 0 04 Dec 2018
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 228 2,231 0 24 Jun 2017
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 225 3,658 0 28 Feb 2017
Do semantic parts emerge in Convolutional Neural Networks? Abel Gonzalez-Garcia Davide Modolo V. Ferrari 144 113 0 13 Jul 2016
Characterizing Driving Styles with Deep Learning Weishan Dong Jian Li Renjie Yao Changsheng Li Ting Yuan Lanjun Wang 21 104 0 13 Jul 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 250 5,813 0 08 Jul 2016
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 214 7,687 0 17 Aug 2015