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
Gradient Attention Map Based Verification of Deep Convolutional Neural Networks with Application to X-ray Image Datasets Omid Halimi Milani Amanda Nikho Lauren Mills M. Tliba Ahmet Enis Cetin Mohammed H. Elnagar MedIm 31 0 0 29 Apr 2025
Readable Twins of Unreadable Models Krzysztof Pancerz Piotr Kulicki Michał Kalisz Andrzej Burda Maciej Stanisławski Jaromir Sarzyński SyDa 45 0 0 17 Apr 2025
The Road Less Traveled: Investigating Robustness and Explainability in CNN Malware Detection Matteo Brosolo Vinod Puthuvath Mauro Conti AAML 36 0 0 03 Mar 2025
Complex Networks for Pattern-Based Data Classification Josimar Chire Khalid Mahmood Zhao Liang 27 0 0 25 Feb 2025
The Return of Pseudosciences in Artificial Intelligence: Have Machine Learning and Deep Learning Forgotten Lessons from Statistics and History? Jérémie Sublime 62 0 0 27 Nov 2024
Explainability in AI Based Applications: A Framework for Comparing Different Techniques Arne Grobrugge Nidhi Mishra Johannes Jakubik G. Satzger 95 1 0 28 Oct 2024
Interpretable end-to-end Neurosymbolic Reinforcement Learning agents Nils Grandien Quentin Delfosse Kristian Kersting OffRL 27 2 0 18 Oct 2024
Gradient-free Post-hoc Explainability Using Distillation Aided Learnable Approach Debarpan Bhattacharya A. H. Poorjam Deepak Mittal S. Ganapathy 20 0 0 17 Sep 2024
Computability of Classification and Deep Learning: From Theoretical Limits to Practical Feasibility through Quantization Holger Boche Vít Fojtík Adalbert Fono Gitta Kutyniok 24 0 0 12 Aug 2024
ECG Unveiled: Analysis of Client Re-identification Risks in Real-World ECG Datasets Ziyu Wang A. Kanduri Seyed Amir Hossein Aqajari Salar Jafarlou Sanaz R. Mousavi P. Liljeberg Shaista Malik Amir M. Rahmani 16 3 0 02 Aug 2024
Securing Tomorrow's Smart Cities: Investigating Software Security in Internet of Vehicles and Deep Learning Technologies Ridhi Jain Norbert Tihanyi M. Ferrag 29 0 0 23 Jul 2024
XAI-Guided Enhancement of Vegetation Indices for Crop Mapping Hiba Najjar Francisco Mena Marlon Nuske A. Dengel 19 0 0 11 Jul 2024
Explainable Image Recognition via Enhanced Slot-attention Based Classifier Bowen Wang Liangzhi Li Jiahao Zhang Yuta Nakashima Hajime Nagahara OCL 31 0 0 08 Jul 2024
DocXplain: A Novel Model-Agnostic Explainability Method for Document Image Classification S. Saifullah S. Agne Andreas Dengel Sheraz Ahmed 21 0 0 04 Jul 2024
HackAtari: Atari Learning Environments for Robust and Continual Reinforcement Learning Quentin Delfosse Jannis Blüml Bjarne Gregori Kristian Kersting 26 7 0 06 Jun 2024
Fairness-Optimized Synthetic EHR Generation for Arbitrary Downstream Predictive Tasks Mirza Farhan Bin Tarek Raphael Poulain Rahmatollah Beheshti SyDa 18 0 0 04 Jun 2024
Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning Hector Kohler Quentin Delfosse R. Akrour Kristian Kersting Philippe Preux 38 14 0 23 May 2024
Efficient Deep Learning with Decorrelated Backpropagation Sander Dalm Joshua Offergeld Nasir Ahmad Marcel van Gerven 39 4 0 03 May 2024
Towards a Research Community in Interpretable Reinforcement Learning: the InterpPol Workshop Hector Kohler Quentin Delfosse Paul Festor Philippe Preux 27 0 0 16 Apr 2024
Hindsight PRIORs for Reward Learning from Human Preferences Mudit Verma Katherine Metcalf 30 5 0 12 Apr 2024
Leveraging Counterfactual Paths for Contrastive Explanations of POMDP Policies Benjamin Kraske Zakariya Laouar Zachary Sunberg 14 0 0 28 Mar 2024
Causal hybrid modeling with double machine learning Kai-Hendrik Cohrs Gherardo Varando Nuno Carvalhais Markus Reichstein Gustau Camps-Valls 21 3 0 20 Feb 2024
Dual feature-based and example-based explanation methods A. Konstantinov Boris V. Kozlov Stanislav R. Kirpichenko Lev V. Utkin FAtt 20 0 0 29 Jan 2024
Mathematical Algorithm Design for Deep Learning under Societal and Judicial Constraints: The Algorithmic Transparency Requirement Holger Boche Adalbert Fono Gitta Kutyniok FaML 23 4 0 18 Jan 2024
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents Quentin Delfosse Sebastian Sztwiertnia M. Rothermel Wolfgang Stammer Kristian Kersting 41 18 0 11 Jan 2024
α-HMM: A Graphical Model for RNA Folding Sixiang Zhang Aaron J. Yang Liming Cai 6 0 0 07 Jan 2024
On the Relationship Between Interpretability and Explainability in Machine Learning Benjamin Leblanc Pascal Germain FaML 11 0 0 20 Nov 2023
One-dimensional convolutional neural network model for breast cancer subtypes classification and biochemical content evaluation using micro-FTIR hyperspectral images Matheus del-Valle E. Bernardes D. Zezell 6 0 0 23 Oct 2023
From Neural Activations to Concepts: A Survey on Explaining Concepts in Neural Networks Jae Hee Lee Sergio Lanza Stefan Wermter 6 8 0 18 Oct 2023
ProtoExplorer: Interpretable Forensic Analysis of Deepfake Videos using Prototype Exploration and Refinement M. D. L. D. Bouter J. Pardo Z. Geradts M. Worring 11 10 0 20 Sep 2023
Learning by Self-Explaining Wolfgang Stammer Felix Friedrich David Steinmann Manuel Brack Hikaru Shindo Kristian Kersting 18 7 0 15 Sep 2023
ExD: Explainable Deletion K. Ramokapane A. Rashid 13 1 0 25 Aug 2023
Can we Agree? On the Rashōmon Effect and the Reliability of Post-Hoc Explainable AI Clément Poiret Antoine Grigis Justin Thomas M. Noulhiane FAtt 13 1 0 14 Aug 2023
Explainable AI applications in the Medical Domain: a systematic review Nicoletta Prentzas A. Kakas Constantinos S. Pattichis 11 9 0 10 Aug 2023
Enhancing Human-like Multi-Modal Reasoning: A New Challenging Dataset and Comprehensive Framework Jingxuan Wei Cheng Tan Zhangyang Gao Linzhuang Sun Siyuan Li Bihui Yu R. Guo Stan Z. Li LRM 16 7 0 24 Jul 2023
SHAMSUL: Systematic Holistic Analysis to investigate Medical Significance Utilizing Local interpretability methods in deep learning for chest radiography pathology prediction Mahbub Ul Alam Jaakko Hollmén Jón R. Baldvinsson R. Rahmani FAtt 17 1 0 16 Jul 2023
A Lightweight Generative Model for Interpretable Subject-level Prediction C. Mauri Stefano Cerri O. Puonti Mark Muhlau Koen van Leemput MedIm AI4CE 13 0 0 19 Jun 2023
Learning Causal Mechanisms through Orthogonal Neural Networks Peyman Sheikholharam Mashhadi Sławomir Nowaczyk CML DRL 18 0 0 05 Jun 2023
Trustworthy Federated Learning: A Survey A. Tariq M. Serhani F. Sallabi Tariq Qayyum E. Barka K. Shuaib FedML 17 9 0 19 May 2023
What Symptoms and How Long? An Interpretable AI Approach for Depression Detection in Social Media Junwei Kuang Jiaheng Xie Zhijun Yan 16 1 0 18 May 2023
Nine tips for ecologists using machine learning Marine Desprez Vincent Miele O. Gimenez 14 3 0 17 May 2023
EXPRESSNET: An Explainable Residual Slim Network for Fingerprint Presentation Attack Detection Anuj Rai S. Dey 7 0 0 16 May 2023
Artificial intelligence to advance Earth observation: a perspective D. Tuia Konrad Schindler Begum Demir Gustau Camps-Valls Xiao Xiang Zhu ... Mihai Datcu Jorge-Arnulfo Quiané-Ruiz Volker Markl Bertrand Le Saux Rochelle Schneider 16 10 0 15 May 2023
Hardware Acceleration of Explainable Artificial Intelligence Zhixin Pan Prabhat Mishra 8 0 0 04 May 2023
How Secure is Code Generated by ChatGPT? R. Khoury Anderson R. Avila Jacob Brunelle Baba Mamadou Camara SILM 8 65 0 19 Apr 2023
Finding Minimum-Cost Explanations for Predictions made by Tree Ensembles John Törnblom Emil Karlsson Simin Nadjm-Tehrani FAtt 36 0 0 16 Mar 2023
Interpretable Ensembles of Hyper-Rectangles as Base Models A. Konstantinov Lev V. Utkin 14 3 0 15 Mar 2023
SAR-UNet: Small Attention Residual UNet for Explainable Nowcasting Tasks Mathieu Renault S. Mehrkanoon AI4TS 15 5 0 12 Mar 2023
Efficient Computation of Shap Explanation Scores for Neural Network Classifiers via Knowledge Compilation Leopoldo Bertossi Jorge E. Leon FAtt 10 2 0 11 Mar 2023
Non-Uniform Interpolation in Integrated Gradients for Low-Latency Explainable-AI Ashwin Bhat A. Raychowdhury 10 4 0 22 Feb 2023