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Interpretability and Explainability: A Machine Learning Zoo Mini-tour

3 December 2020

Papers citing "Interpretability and Explainability: A Machine Learning Zoo Mini-tour"

50 / 55 papers shown

Title
K-DAREK: Distance Aware Error for Kurkova Kolmogorov Networks Masoud Ataei Vikas Dhiman M. J. Khojasteh 116 0 0 24 Oct 2025
Checkmate: interpretable and explainable RSVQA is the endgame Lucrezia Tosato Christel Chappuis Syrielle Montariol F. Weissgerber Sylvain Lobry D. Tuia 84 0 0 18 Aug 2025
Multi-criteria Rank-based Aggregation for Explainable AI Sujoy Chatterjee Everton Romanzini Colombo Marcos Medeiros Raimundo XAI 122 1 0 30 May 2025
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review Chengmin Zhou Ville Kyrki Pasi Fränti Laura Ruotsalainen BDL AI4CE 332 0 0 12 May 2025
Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey Yunkai Dang Kaichen Huang Jiahao Huo Yibo Yan Shijie Huang ... Kun Wang Yong Liu Jing Shao Hui Xiong Xuming Hu LRM 361 46 0 03 Dec 2024
From Logits to Hierarchies: Hierarchical Clustering made Simple Emanuele Palumbo Moritz Vandenhirtz Alain Ryser Imant Daunhawer Julia E. Vogt 128 3 0 10 Oct 2024
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction Melkamu Mersha Khang Lam Joseph Wood Ali AlShami Jugal Kalita XAI AI4TS 612 74 0 30 Aug 2024
Introducing Ínside' Out of Distribution Teddy Lazebnik 289 1 0 05 Jul 2024
Unifying Interpretability and Explainability for Alzheimer's Disease Progression Prediction Raja Farrukh Ali Stephanie Milani John Woods Emmanuel Adenij Ayesha Farooq Clayton Mansel Jeffrey Burns William Hsu 161 1 0 11 Jun 2024
P-NAL: an Effective and Interpretable Entity Alignment Method Chuanhao Xu Jingwei Cheng Fu Zhang 191 2 0 18 Apr 2024
Interpretability in Symbolic Regression: a benchmark of Explanatory Methods using the Feynman data set Guilherme Seidyo Imai Aldeia Fabrício Olivetti de França 236 13 0 08 Apr 2024
The Probabilities Also Matter: A More Faithful Metric for Faithfulness of Free-Text Explanations in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2024 Noah Y. Siegel Oana-Maria Camburu N. Heess Maria Perez-Ortiz 216 15 0 04 Apr 2024
Intrinsic Subgraph Generation for Interpretable Graph based Visual Question Answering Pascal Tilli Ngoc Thang Vu 185 1 0 26 Mar 2024
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Kushagra Pandey Robert Bamler Sina Daubener ... Yixin Wang F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin 626 39 0 28 Feb 2024
Taking Class Imbalance Into Account in Open Set Recognition Evaluation Joanna Komorniczak Pawel Ksieniewicz 172 1 0 09 Feb 2024
Experimental Insights Towards Explainable and Interpretable Pedestrian Crossing Prediction Angie Nataly Melo Carlota Salinas Miguel Ángel Sotelo 145 4 0 05 Dec 2023
MetaSymNet: A Dynamic Symbolic Regression Network Capable of Evolving into Arbitrary Formulations Yanjie Li Weijun Li Lina Yu Min Wu Jinyi Liu Wenqiang Li Meilan Hao Shu Wei Yusong Deng 215 4 0 13 Nov 2023
Is Machine Learning Unsafe and Irresponsible in Social Sciences? Paradoxes and Reconsidering from Recidivism Prediction TasksAsian journal of Criminology (Asian J Criminol), 2023 Jianhong Liu D. Li 153 4 0 11 Nov 2023
Symbolic Regression as Feature Engineering Method for Machine and Deep Learning Regression Tasks Assaf Shmuel Oren Glickman Teddy Lazebnik 268 16 0 10 Nov 2023
Massively-Parallel Heat Map Sorting and Applications To Explainable Clustering Sepideh Aghamolaei Mohammad Ghodsi 135 0 0 14 Sep 2023
Trustworthy Representation Learning Across Domains Ronghang Zhu Dongliang Guo Daiqing Qi Zhixuan Chu Xiang Yu Sheng Li FaML AI4TS 237 2 0 23 Aug 2023
R-Cut: Enhancing Explainability in Vision Transformers with Relationship Weighted Out and CutItalian National Conference on Sensors (INS), 2023 Yingjie Niu Ming Ding Maoning Ge Robin Karlsson Yuxiao Zhang K. Takeda ViT 124 5 0 18 Jul 2023
Neurosymbolic AI for Reasoning on Biomedical Knowledge Graphs L. Delong Ramon Fernández Mir Zonglin Ji Fiona Niamh Coulter Smith Jacques D. Fleuriot 158 2 0 17 Jul 2023
Improving Explainability of Disentangled Representations using Multipath-Attribution MappingsInternational Conference on Medical Imaging with Deep Learning (MIDL), 2023 Lukas Klein João B. S. Carvalho Mennatallah El-Assady Paolo Penna J. M. Buhmann Paul F. Jaeger 117 5 0 15 Jun 2023
Sanity Checks for Saliency Methods Explaining Object Detectors Deepan Padmanabhan Paul G. Plöger Octavio Arriaga Matias Valdenegro-Toro FAtt AAML XAI 201 3 0 04 Jun 2023
torchosr -- a PyTorch extension package for Open Set Recognition models evaluation in PythonNeurocomputing (Neurocomputing), 2023 Joanna Komorniczak Pawel Ksieniewicz 3DV 145 3 0 16 May 2023
MLHOps: Machine Learning for Healthcare Operations Kristoffer Larsen Vallijah Subasri A. Krishnan Cláudio Tinoco Mesquita Diana Paez Laleh Seyyed-Kalantari Amalia Peix LM&MA AI4TS VLM 209 6 0 04 May 2023
Survey on Leveraging Uncertainty Estimation Towards Trustworthy Deep Neural Networks: The Case of Reject Option and Post-training ProcessingACM Computing Surveys (ACM Comput. Surv.), 2023 M. Hasan Moloud Abdar Abbas Khosravi U. Aickelin Pietro Lio Ibrahim Hossain Ashikur Rahman Saeid Nahavandi 230 5 0 11 Apr 2023
A Scalable Space-efficient In-database Interpretability Framework for Embedding-based Semantic SQL Queries P. Kudva R. Bordawekar Apoorva Nitsure 271 0 0 23 Feb 2023
Neurosymbolic AI for Reasoning over Knowledge Graphs: A SurveyIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 L. Delong Ramon Fernández Mir Jacques D. Fleuriot NAI 425 28 0 14 Feb 2023
The Contextual Lasso: Sparse Linear Models via Deep Neural NetworksNeural Information Processing Systems (NeurIPS), 2023 Ryan Thompson Amir Dezfouli Robert Kohn 307 7 0 02 Feb 2023
Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine LearningQuantum Machine Intelligence (QMI), 2023 R. Heese Thore Gerlach Sascha Mucke Sabine Muller Matthias Jakobs Nico Piatkowski 301 30 0 22 Jan 2023
What Makes a Good Explanation?: A Harmonized View of Properties of Explanations Zixi Chen Varshini Subhash Marton Havasi Weiwei Pan Finale Doshi-Velez XAI FAtt 317 23 0 10 Nov 2022
Explainable Deep Learning to Profile Mitochondrial Disease Using High Dimensional Protein Expression Data Atif Khan C. Lawless Amy Vincent Satish Pilla S. Ramesh A. Mcgough 127 0 0 31 Oct 2022
Explanation Method for Anomaly Detection on Mixed Numerical and Categorical Spaces Iñigo López-Riobóo Botana Carlos Eiras-Franco Julio César Hernández Castro Amparo Alonso-Betanzos 254 1 0 09 Sep 2022
Interpretable Time Series Clustering Using Local Explanations Ozan Ozyegen Nicholas Prayogo Mucahit Cevik Ayse Basar FAtt AI4TS 117 1 0 01 Aug 2022
From Correlation to Causation: Formalizing Interpretable Machine Learning as a Statistical Process Lukas Klein Mennatallah El-Assady Paul F. Jäger CML 112 2 0 11 Jul 2022
A systematic review of biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology dataBMC Bioinformatics (BB), 2022 Magdalena Wysocka Oskar Wysocki Marie Zufferey Dónal Landers André Freitas AI4CE 309 45 0 02 Jul 2022
Think About the Stakeholders First! Towards an Algorithmic Transparency Playbook for Regulatory ComplianceData & Policy (DP), 2022 Andrew Bell O. Nov Julia Stoyanovich 142 30 0 10 Jun 2022
Can Requirements Engineering Support Explainable Artificial Intelligence? Towards a User-Centric Approach for Explainability Requirements Umm-e-Habiba Justus Bogner Stefan Wagner XAI 104 18 0 03 Jun 2022
Sparse Visual Counterfactual Explanations in Image SpaceGerman Conference on Pattern Recognition (GCPR), 2022 Valentyn Boreiko Maximilian Augustin Francesco Croce Philipp Berens Matthias Hein BDL CML 307 32 0 16 May 2022
System Cards for AI-Based Decision-Making for Public Policy Furkan Gursoy I. Kakadiaris MLAU 151 20 0 01 Mar 2022
Testing Granger Non-Causality in Panels with Cross-Sectional DependenciesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Lenon Minorics Ali Caner Türkmen D. Kernert Patrick Bloebaum Laurent Callot Dominik Janzing 175 2 0 23 Feb 2022
Discrete and continuous representations and processing in deep learning: Looking forwardAI Open (AO), 2022 Ruben Cartuyvels Graham Spinks Marie-Francine Moens OCL 241 28 0 04 Jan 2022
Explainability Is in the Mind of the Beholder: Establishing the Foundations of Explainable Artificial Intelligence Kacper Sokol Peter A. Flach 209 27 0 29 Dec 2021
How to Find a Good Explanation for Clustering? Sayan Bandyapadhyay F. Fomin P. Golovach W. Lochet Nidhi Purohit Kirill Simonov 147 45 0 13 Dec 2021
TorchEsegeta: Framework for Interpretability and Explainability of Image-based Deep Learning Models S. Chatterjee Arnab Das Chirag Mandal Budhaditya Mukhopadhyay Manish Vipinraj Aniruddh Shukla R. Rao Chompunuch Sarasaen Oliver Speck A. Nürnberger MedIm 138 16 0 16 Oct 2021
FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging Karim Lekadira Richard Osuala C. Gallin Noussair Lazrak Kaisar Kushibar ... Nickolas Papanikolaou Zohaib Salahuddin Henry C. Woodruff Philippe Lambin L. Martí-Bonmatí AI4TS 311 78 0 20 Sep 2021
Logic Explained NetworksInternational Workshop on Neural-Symbolic Learning and Reasoning (NeSy), 2021 Gabriele Ciravegna Pietro Barbiero Francesco Giannini Marco Gori Pietro Lio Marco Maggini S. Melacci 146 86 0 11 Aug 2021
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and SolutionsIEEE Access (IEEE Access), 2021 Eike Petersen Yannik Potdevin Esfandiar Mohammadi Stephan Zidowitz Sabrina Breyer ... Sandra Henn Ludwig Pechmann M. Leucker P. Rostalski Christian Herzog FaML AILaw OOD 201 34 0 20 Jul 2021