Explainable Deep Learning: A Field Guide for the Uninitiated

30 April 2020

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

50 / 141 papers shown

Title
Framework for Certification of AI-Based Systems Maxime Gariel Brian Shimanuki R. Timpe E. Wilson 14 8 0 21 Feb 2023
FederatedTrust: A Solution for Trustworthy Federated Learning Pedro Miguel Sánchez Sánchez Alberto Huertas Celdrán Ning Xie Gérome Bovet Gregorio Martínez Pérez Burkhard Stiller 18 21 0 20 Feb 2023
Less is More: The Influence of Pruning on the Explainability of CNNs David Weber F. Merkle Pascal Schöttle Stephan Schlögl Martin Nocker FAtt 21 1 0 17 Feb 2023
Explainable Machine Learning: The Importance of a System-Centric Perspective Manish Narwaria 11 0 0 05 Feb 2023
Improving Interpretability via Explicit Word Interaction Graph Layer Arshdeep Sekhon Hanjie Chen A. Shrivastava Zhe Wang Yangfeng Ji Yanjun Qi AI4CE MILM 9 6 0 03 Feb 2023
Semantic match: Debugging feature attribution methods in XAI for healthcare Giovanni Cina Tabea E. Rober Rob Goedhart cS. .Ilker Birbil 17 3 0 05 Jan 2023
Neural Networks beyond explainability: Selective inference for sequence motifs Antoine Villié P. Veber Yohann De Castro Laurent Jacob 11 0 0 23 Dec 2022
Fairness and Explainability: Bridging the Gap Towards Fair Model Explanations Yuying Zhao Yu-Chiang Frank Wang Tyler Derr FaML 22 13 0 07 Dec 2022
Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-agnostic Explanations Bin Wang Wenbin Pei Bing Xue Mengjie Zhang FAtt 18 2 0 28 Nov 2022
Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges K. T. Baghaei Amirreza Payandeh Pooya Fayyazsanavi Shahram Rahimi Zhiqian Chen Somayeh Bakhtiari Ramezani FaML AI4TS 25 6 0 27 Nov 2022
Astronomia ex machina: a history, primer, and outlook on neural networks in astronomy Michael J. Smith James E. Geach 8 19 0 07 Nov 2022
Logic-Based Explainability in Machine Learning João Marques-Silva LRM XAI 18 38 0 24 Oct 2022
Exploring Self-Attention for Crop-type Classification Explainability Ivica Obadic R. Roscher Dario Augusto Borges Oliveira Xiao Xiang Zhu 19 6 0 24 Oct 2022
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research Challenges Mario Alfonso Prado-Romero Bardh Prenkaj Giovanni Stilo F. Giannotti CML 27 30 0 21 Oct 2022
Gradient Backpropagation based Feature Attribution to Enable Explainable-AI on the Edge Ashwin Bhat A. S. Assoa A. Raychowdhury 9 9 0 19 Oct 2022
Providing Error Detection for Deep Learning Image Classifiers Using Self-Explainability M. M. Karimi Azin Heidarshenas W. Edmonson 15 0 0 15 Oct 2022
Improving alignment of dialogue agents via targeted human judgements Amelia Glaese Nat McAleese Maja Trkebacz John Aslanides Vlad Firoiu ... John F. J. Mellor Demis Hassabis Koray Kavukcuoglu Lisa Anne Hendricks G. Irving ALM AAML 225 495 0 28 Sep 2022
Greybox XAI: a Neural-Symbolic learning framework to produce interpretable predictions for image classification Adrien Bennetot Gianni Franchi Javier Del Ser Raja Chatila Natalia Díaz Rodríguez AAML 22 28 0 26 Sep 2022
Leveraging Explanations in Interactive Machine Learning: An Overview Stefano Teso Öznur Alkan Wolfgang Stammer Elizabeth M. Daly XAI FAtt LRM 11 48 0 29 Jul 2022
Object-ABN: Learning to Generate Sharp Attention Maps for Action Recognition Tomoya Nitta Tsubasa Hirakawa H. Fujiyoshi Toru Tamaki 29 0 0 27 Jul 2022
A guideline proposal for minimizing cybersickness in VR-based serious games and applications T. Porcino Derek F. Reilly E. Clua Daniela Trevisan 12 3 0 13 Jul 2022
Fidelity of Ensemble Aggregation for Saliency Map Explanations using Bayesian Optimization Techniques Yannik Mahlau Christian Nolde FAtt 12 0 0 04 Jul 2022
Why we do need Explainable AI for Healthcare Giovanni Cina Tabea E. Rober Rob Goedhart Ilker Birbil 14 13 0 30 Jun 2022
Geometrically Guided Integrated Gradients Md. Mahfuzur Rahman N. Lewis Sergey Plis FAtt AAML 11 0 0 13 Jun 2022
Learning-Based Data Storage [Vision] (Technical Report) Xiang Lian Xiaofei Zhang 15 0 0 12 Jun 2022
Composition of Relational Features with an Application to Explaining Black-Box Predictors A. Srinivasan A. Baskar T. Dash Devanshu Shah CoGe 6 2 0 01 Jun 2022
What You See is What You Classify: Black Box Attributions Steven Stalder Nathanael Perraudin R. Achanta F. Pérez-Cruz Michele Volpi FAtt 11 9 0 23 May 2022
Survey on Fair Reinforcement Learning: Theory and Practice Pratik Gajane A. Saxena M. Tavakol George Fletcher Mykola Pechenizkiy FaML OffRL 15 13 0 20 May 2022
On Tackling Explanation Redundancy in Decision Trees Yacine Izza Alexey Ignatiev João Marques-Silva FAtt 35 56 0 20 May 2022
Interpretability of Machine Learning Methods Applied to Neuroimaging Elina Thibeau-Sutre S. Collin Ninon Burgos O. Colliot 8 4 0 14 Apr 2022
ConceptExplainer: Interactive Explanation for Deep Neural Networks from a Concept Perspective Jinbin Huang Aditi Mishra Bum Chul Kwon Chris Bryan FAtt HAI 22 30 0 04 Apr 2022
Constrained Parameter Inference as a Principle for Learning Nasir Ahmad Ellen Schrader Marcel van Gerven 8 7 0 22 Mar 2022
Explainability in reinforcement learning: perspective and position Agneza Krajna Mario Brčič T. Lipić Juraj Dončević 18 26 0 22 Mar 2022
Teaching language models to support answers with verified quotes Jacob Menick Maja Trebacz Vladimir Mikulik John Aslanides Francis Song ... Mia Glaese Susannah Young Lucy Campbell-Gillingham G. Irving Nat McAleese ELM RALM 220 255 0 21 Mar 2022
From Stance to Concern: Adaptation of Propositional Analysis to New Tasks and Domains Brodie Mather Bonnie J. Dorr Adam Dalton William de Beaumont Owen Rambow Sonja M. Schmer-Galunder 12 7 0 20 Mar 2022
Explainable Misinformation Detection Across Multiple Social Media Platforms Gargi Joshi Ananya Srivastava Bhargav D. Yagnik Md Musleh Uddin Hasan Zainuddin Saiyed Lubna A Gabralla Ajith Abraham Rahee Walambe K. Kotecha 13 17 0 20 Mar 2022
An explainability framework for cortical surface-based deep learning Fernanda L. Ribeiro S. Bollmann R. Cunnington A. M. Puckett FAtt AAML MedIm 12 2 0 15 Mar 2022
A Neural Ordinary Differential Equation Model for Visualizing Deep Neural Network Behaviors in Multi-Parametric MRI based Glioma Segmentation Zhenyu Yang Zongsheng Hu H. Ji Kyle J. Lafata Scott Floyd F. Yin C. Wang 17 14 0 01 Mar 2022
Limitations of Deep Learning for Inverse Problems on Digital Hardware Holger Boche Adalbert Fono Gitta Kutyniok 19 25 0 28 Feb 2022
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI Meike Nauta Jan Trienes Shreyasi Pathak Elisa Nguyen Michelle Peters Yasmin Schmitt Jorg Schlotterer M. V. Keulen C. Seifert ELM XAI 19 388 0 20 Jan 2022
AI for Closed-Loop Control Systems -- New Opportunities for Modeling, Designing, and Tuning Control Systems Julius Schöning A. Riechmann H. Pfisterer AI4CE 8 13 0 18 Jan 2022
Does Explainable Machine Learning Uncover the Black Box in Vision Applications? Manish Narwaria AAML VLM XAI 17 15 0 18 Dec 2021
Tell me why! Explanations support learning relational and causal structure Andrew Kyle Lampinen Nicholas A. Roy Ishita Dasgupta Stephanie C. Y. Chan Allison C. Tam ... Chen Yan Adam Santoro Neil C. Rabinowitz Jane X. Wang Felix Hill 17 34 0 07 Dec 2021
Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities Waddah Saeed C. Omlin XAI 34 409 0 11 Nov 2021
Exploring Explainable AI in the Financial Sector: Perspectives of Banks and Supervisory Authorities O. Kuiper M. V. D. Berg Joost van den Burgt S. Leijnen 6 16 0 03 Nov 2021
Nested Multiple Instance Learning with Attention Mechanisms Saul Fuster T. Eftestøl K. Engan 8 9 0 01 Nov 2021
Self-explaining Neural Network with Concept-based Explanations for ICU Mortality Prediction Sayantan Kumar Sean C. Yu Thomas Kannampallil Zachary B. Abrams Andrew Michelson Philip R. O. Payne FAtt 6 7 0 09 Oct 2021
Artificial Intelligence in the Low-Level Realm -- A Survey Vahid Mohammadi Safarzadeh Hamed Ghasr Loghmani 7 0 0 19 Sep 2021
Seven challenges for harmonizing explainability requirements Jiahao Chen Victor Storchan 12 8 0 11 Aug 2021
Attention-like feature explanation for tabular data A. Konstantinov Lev V. Utkin FAtt 8 4 0 10 Aug 2021