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Interpretable Machine Learning

Papers archive 2025-07-28

archive papers tagged: 537 · with a code link: 226 · where Syntology ran a sample: 47 (37 with a run with no instrument failure, 10 where every run was a failure of Syntology's instrument) Syntology

Show: all tagged papersonly where code ran (47 of 537 tagged: 37 with a run with no instrument failure, 10 where every run was a failure of Syntology's instrument)

Page 6 of 6: papers 501 to 537 of 537, in archive order: by repositories listed in the archive (most first), then newest first, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers that list no repository come after every paper that lists one.

Papers without a page here are shown as plain text. A Syntology line reads “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the figure “where Syntology's instrument failed” counts failures of Syntology's instrument, not of the code. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code); hover it for the repositories the samples that ran came from. Abstracts are on each paper's page.

• Explaining A Black-box By Using A Deep Variational Information Bottleneck Approach
  25 Sep 2019 0 repositories listed
• The Partial Response Network: a neural network nomogram
  16 Aug 2019 0 repositories listed
• Detecting Heterogeneous Treatment Effect with Instrumental Variables
  9 Aug 2019 0 repositories listed
• Evaluating Explanation Without Ground Truth in Interpretable Machine Learning
  16 Jul 2019 0 repositories listed
• Model Bridging: Connection between Simulation Model and Neural Network
  22 Jun 2019 0 repositories listed
• Trepan Reloaded: A Knowledge-driven Approach to Explaining Artificial Neural Networks
  19 Jun 2019 0 repositories listed
• A hybrid machine learning framework for analyzing human decision making through learning preferences
  4 Jun 2019 0 repositories listed
• Regularizing Black-box Models for Improved Interpretability (HILL 2019 Version)
  31 May 2019 0 repositories listed
• Hybrid Predictive Model: When an Interpretable Model Collaborates with a Black-box Model
  10 May 2019 0 repositories listed
• Open Issues in Combating Fake News: Interpretability as an Opportunity
  4 Apr 2019 0 repositories listed
• Modeling Heterogeneity in Mode-Switching Behavior Under a Mobility-on-Demand Transit System: An Interpretable Machine Learning Approach
  8 Feb 2019 0 repositories listed
• Natively Interpretable Machine Learning and Artificial Intelligence: Preliminary Results and Future Directions
  2 Jan 2019 0 repositories listed
• YASENN: Explaining Neural Networks via Partitioning Activation Sequences
  7 Nov 2018 0 repositories listed
• Interpretable Neural Architectures for Attributing an Ad's Performance to its Writing Style
  1 Nov 2018 0 repositories listed
• Towards making NLG a voice for interpretable Machine Learning
  1 Nov 2018 0 repositories listed
• MCA-based Rule Mining Enables Interpretable Inference in Clinical Psychiatry
  26 Oct 2018 0 repositories listed
• Interpretable Reinforcement Learning with Ensemble Methods
  19 Sep 2018 0 repositories listed
• Knowledge Representation with Conceptual Spaces
  1 Aug 2018 0 repositories listed
• Techniques for Interpretable Machine Learning
  31 Jul 2018 0 repositories listed
• AI in Education needs interpretable machine learning: Lessons from Open Learner Modelling
  30 Jun 2018 0 repositories listed
• Interpretable to Whom? A Role-based Model for Analyzing Interpretable Machine Learning Systems
  20 Jun 2018 0 repositories listed
• Learning Kolmogorov Models for Binary Random Variables
  6 Jun 2018 0 repositories listed
• CNNs for NLP in the Browser: Client-Side Deployment and Visualization Opportunities
  1 Jun 2018 0 repositories listed
• Brain Age from the Electroencephalogram of Sleep
  16 May 2018 0 repositories listed
• A review of possible effects of cognitive biases on the interpretation of rule-based machine learning models
  9 Apr 2018 0 repositories listed
• How an Electrical Engineer Became an Artificial Intelligence Researcher, a Multiphase Active Contours Analysis
  29 Mar 2018 0 repositories listed
• Proceedings of NIPS 2017 Symposium on Interpretable Machine Learning
  27 Nov 2017 0 repositories listed
• The Doctor Just Won't Accept That!
  20 Nov 2017 0 repositories listed
• The Promise and Peril of Human Evaluation for Model Interpretability
  20 Nov 2017 0 repositories listed
• Interpretable Machine Learning for Privacy-Preserving Pervasive Systems
  23 Oct 2017 0 repositories listed
• Tell Me Why: Using Question Answering as Distant Supervision for Answer Justification
  1 Aug 2017 0 repositories listed
• Towards A Rigorous Science of Interpretable Machine Learning
  28 Feb 2017 0 repositories listed
• Proceedings of NIPS 2016 Workshop on Interpretable Machine Learning for Complex Systems
  28 Nov 2016 0 repositories listed
• Nothing Else Matters: Model-Agnostic Explanations By Identifying Prediction Invariance
  17 Nov 2016 0 repositories listed
• Meaningful Models: Utilizing Conceptual Structure to Improve Machine Learning Interpretability
  1 Jul 2016 0 repositories listed
• Interpretable Machine Learning Models for the Digital Clock Drawing Test
  23 Jun 2016 0 repositories listed
• Interpretable Two-level Boolean Rule Learning for Classification
  18 Jun 2016 0 repositories listed