Methods › General › Interpretability › LIME › Papers, page 4

Local Interpretable Model-Agnostic Explanations

LIME

Papers archive 2025-07-28

archive papers tagged: 378 · with a code link: 149 · where Syntology ran a sample: 25 (21 with a run with no instrument failure, 4 where every run was a failure of Syntology's instrument) Syntology

Show: all tagged papersonly where code ran (25 of 378 tagged: 21 with a run with no instrument failure, 4 where every run was a failure of Syntology's instrument)

Page 4 of 4: papers 301 to 378 of 378, newest first by the archive's date (ties by slug), in archive order.

Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code, as “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 instrument figure counts failures of Syntology's instrument, not of the code. It is per sample and not a correctness claim. 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; “community repositories only” when every sample that ran came from a community repository, “official: no sample here; runs from other or unrecorded repositories” when some came from a repository the paper names or has in its text, or from none recorded); hover it for the repositories the samples that ran came from.

• Feature Removal Is a Unifying Principle for Model Explanation Methods
  6 Nov 2020 · 1 repository · arXiv:2011.03623
• Interpreting Predictions of NLP Models
  1 Nov 2020 · 0 repositories
• An Analysis of LIME for Text Data
  23 Oct 2020 · 1 repository · arXiv:2010.12487
• Assessing Robustness of Text Classification through Maximal Safe Radius Computation
  1 Oct 2020 · 1 repository · arXiv:2010.02004
• Impact of lung segmentation on the diagnosis and explanation of COVID-19 in chest X-ray images
  21 Sep 2020 · 1 repository · arXiv:2009.09780
• MeLIME: Meaningful Local Explanation for Machine Learning Models
  12 Sep 2020 · 1 repository · arXiv:2009.05818
• Why I'm not Answering: Understanding Determinants of Classification of an Abstaining Classifier for Cancer Pathology Reports
  10 Sep 2020 · 0 repositories · arXiv:2009.05094
• Active Learning++: Incorporating Annotator's Rationale using Local Model Explanation
  6 Sep 2020 · 0 repositories · arXiv:2009.04568
• Explanation of Unintended Radiated Emission Classification via LIME
  4 Sep 2020 · 0 repositories · arXiv:2009.02418
• Towards Musically Meaningful Explanations Using Source Separation
  4 Sep 2020 · 1 repository · arXiv:2009.02051
• Looking Deeper into Tabular LIME
  25 Aug 2020 · 1 repository · arXiv:2008.11092
• Reliable Post hoc Explanations: Modeling Uncertainty in Explainability
  11 Aug 2020 · 1 repository · arXiv:2008.05030
  Syntology 9 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 0 violated, 9 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified (of 11 harvested samples)
• A Machine Learning Approach for Modelling Parking Duration in Urban Land-use
  4 Aug 2020 · 0 repositories · arXiv:2008.01674
• Evaluating the performance of the LIME and Grad-CAM explanation methods on a LEGO multi-label image classification task
  4 Aug 2020 · 0 repositories · arXiv:2008.01584
• audioLIME: Listenable Explanations Using Source Separation
  2 Aug 2020 · 2 repositories · arXiv:2008.00582
• An Explainable Machine Learning Model for Early Detection of Parkinson's Disease using LIME on DaTscan Imagery
  1 Aug 2020 · 0 repositories · arXiv:2008.00238
• Study of Different Deep Learning Approach with Explainable AI for Screening Patients with COVID-19 Symptoms: Using CT Scan and Chest X-ray Image Dataset
  24 Jul 2020 · 0 repositories · arXiv:2007.12525
• Right for the Right Reason: Making Image Classification Robust
  23 Jul 2020 · 0 repositories · arXiv:2007.11924
• Machine Learning approach for Credit Scoring
  20 Jul 2020 · 0 repositories · arXiv:2008.01687
• VAE-LIME: Deep Generative Model Based Approach for Local Data-Driven Model Interpretability Applied to the Ironmaking Industry
  15 Jul 2020 · 0 repositories · arXiv:2007.10256
• Unifying Model Explainability and Robustness via Machine-Checkable Concepts
  1 Jul 2020 · 0 repositories · arXiv:2007.00251
• Improving LIME Robustness with Smarter Locality Sampling
  22 Jun 2020 · 1 repository · arXiv:2006.12302
  Syntology official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample)
• OptiLIME: Optimized LIME Explanations for Diagnostic Computer Algorithms
  10 Jun 2020 · 1 repository · arXiv:2006.05714
  Syntology official (archive's flag): 5 ran · 5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified (of 7 harvested samples)
• Scalable Partial Explainability in Neural Networks via Flexible Activation Functions
  10 Jun 2020 · 0 repositories · arXiv:2006.06057
• The best way to select features?
  26 May 2020 · 0 repositories · arXiv:2005.12483
• Evolved Explainable Classifications for Lymph Node Metastases
  14 May 2020 · 0 repositories · arXiv:2005.07229
• Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?
  4 May 2020 · 1 repository · arXiv:2005.01831
  Syntology official (archive's flag): 4 ran · 4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 5 unverified (of 9 harvested samples)
• A Lime-Flavored REST API for Alignment Services
  1 May 2020 · 0 repositories
• An Extension of LIME with Improvement of Interpretability and Fidelity
  26 Apr 2020 · 0 repositories · arXiv:2004.12277
• Explainable Image Classification with Evidence Counterfactual
  16 Apr 2020 · 0 repositories · arXiv:2004.07511
• From text saliency to linguistic objects: learning linguistic interpretable markers with a multi-channels convolutional architecture
  7 Apr 2020 · 0 repositories · arXiv:2004.03254
• SurvLIME: A method for explaining machine learning survival models
  18 Mar 2020 · 0 repositories · arXiv:2003.08371
• Model Agnostic Multilevel Explanations
  12 Mar 2020 · 0 repositories · arXiv:2003.06005
• LIMEADE: From AI Explanations to Advice Taking
  9 Mar 2020 · 1 repository · arXiv:2003.04315
• A Modified Perturbed Sampling Method for Local Interpretable Model-agnostic Explanation
  18 Feb 2020 · 0 repositories · arXiv:2002.07434
• Statistical stability indices for LIME: obtaining reliable explanations for Machine Learning models
  31 Jan 2020 · 1 repository · arXiv:2001.11757
• Explaining the Explainer: A First Theoretical Analysis of LIME
  10 Jan 2020 · 0 repositories · arXiv:2001.03447
• EMAP: Explanation by Minimal Adversarial Perturbation
  2 Dec 2019 · 0 repositories · arXiv:1912.00872
• Fooling LIME and SHAP: Adversarial Attacks on Post hoc Explanation Methods
  6 Nov 2019 · 2 repositories · arXiv:1911.02508
  Syntology official (archive's flag): 3 ran · 3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified (of 6 harvested samples)
• Explaining the Predictions of Any Image Classifier via Decision Trees
  4 Nov 2019 · 0 repositories · arXiv:1911.01058
• A study of data and label shift in the LIME framework
  31 Oct 2019 · 0 repositories · arXiv:1910.14421
• bLIMEy: Surrogate Prediction Explanations Beyond LIME
  29 Oct 2019 · 1 repository · arXiv:1910.13016
• Recovering Localized Adversarial Attacks
  21 Oct 2019 · 0 repositories · arXiv:1910.09239
• Many Faces of Feature Importance: Comparing Built-in and Post-hoc Feature Importance in Text Classification
  18 Oct 2019 · 1 repository · arXiv:1910.08534
• Effect of Superpixel Aggregation on Explanations in LIME -- A Case Study with Biological Data
  17 Oct 2019 · 1 repository · arXiv:1910.07856
• Do Explanations Reflect Decisions? A Machine-centric Strategy to Quantify the Performance of Explainability Algorithms
  16 Oct 2019 · 0 repositories · arXiv:1910.07387
• Enriching Visual with Verbal Explanations for Relational Concepts -- Combining LIME with Aleph
  4 Oct 2019 · 0 repositories · arXiv:1910.01837
• NormLime: A New Feature Importance Metric for Explaining Deep Neural Networks
  10 Sep 2019 · 0 repositories · arXiv:1909.04200
• ALIME: Autoencoder Based Approach for Local Interpretability
  4 Sep 2019 · 0 repositories · arXiv:1909.02437
• Gradient Weighted Superpixels for Interpretability in CNNs
  16 Aug 2019 · 0 repositories · arXiv:1908.08997
• Measurable Counterfactual Local Explanations for Any Classifier
  8 Aug 2019 · 0 repositories · arXiv:1908.03020
• Explaining Image Classifiers using Statistical Fault Localization
  6 Aug 2019 · 1 repository · arXiv:1908.02374
• A study on the Interpretability of Neural Retrieval Models using DeepSHAP
  15 Jul 2019 · 0 repositories · arXiv:1907.06484
• Interpretable Question Answering on Knowledge Bases and Text
  26 Jun 2019 · 0 repositories · arXiv:1906.10924
• DLIME: A Deterministic Local Interpretable Model-Agnostic Explanations Approach for Computer-Aided Diagnosis Systems
  24 Jun 2019 · 1 repository · arXiv:1906.10263
  Syntology official (archive's flag): 3 ran · 3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 3 harvested samples)
• Learning from Context: Exploiting and Interpreting File Path Information for Better Malware Detection
  16 May 2019 · 1 repository · arXiv:1905.06987
• "Why Should You Trust My Explanation?" Understanding Uncertainty in LIME Explanations
  29 Apr 2019 · 0 repositories · arXiv:1904.12991
• Generating Token-Level Explanations for Natural Language Inference
  24 Apr 2019 · 0 repositories · arXiv:1904.10717
• Do Not Trust Additive Explanations
  27 Mar 2019 · 2 repositories · arXiv:1903.11420
  Syntology community repositories only · 3 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 3 where Syntology's instrument failed) · 1 unverified (of 4 harvested samples)
• LEAFAGE: Example-based and Feature importance-based Explanationsfor Black-box ML models
  21 Dec 2018 · 0 repositories · arXiv:1812.09044
• How much should you ask? On the question structure in QA systems.
  1 Nov 2018 · 0 repositories
• Towards making NLG a voice for interpretable Machine Learning
  1 Nov 2018 · 0 repositories
• Explaining Machine Learning Models using Entropic Variable Projection
  18 Oct 2018 · 2 repositories · arXiv:1810.07924
• SafeCity: Understanding Diverse Forms of Sexual Harassment Personal Stories
  13 Sep 2018 · 4 repositories · arXiv:1809.04739
• How much should you ask? On the question structure in QA systems
  11 Sep 2018 · 0 repositories · arXiv:1809.03734
• Induction of Non-Monotonic Logic Programs to Explain Boosted Tree Models Using LIME
  2 Aug 2018 · 0 repositories · arXiv:1808.00629
• Model Agnostic Supervised Local Explanations
  9 Jul 2018 · 2 repositories · arXiv:1807.02910
• Logical Explanations for Deep Relational Machines Using Relevance Information
  2 Jul 2018 · 0 repositories · arXiv:1807.00595
• Evaluating neural network explanation methods using hybrid documents and morphosyntactic agreement
  1 Jul 2018 · 1 repository
• Explanations of model predictions with live and breakDown packages
  5 Apr 2018 · 4 repositories · arXiv:1804.01955
  Syntology 4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 4 harvested samples)
• Evaluating neural network explanation methods using hybrid documents and morphological agreement
  19 Jan 2018 · 1 repository · arXiv:1801.06422
  Syntology official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample) · 1 pointer-only (licence)
• A Human-Grounded Evaluation Benchmark for Local Explanations of Machine Learning
  16 Jan 2018 · 1 repository · arXiv:1801.05075
• Interpretable Active Learning
  31 Jul 2017 · 1 repository · arXiv:1708.00049
• Streaming Weak Submodularity: Interpreting Neural Networks on the Fly
  8 Mar 2017 · 1 repository · arXiv:1703.02647
• LIME: Low-light Image Enhancement via Illumination Map Estimation
  3 Dec 2016 · 2 repositories
• Nothing Else Matters: Model-Agnostic Explanations By Identifying Prediction Invariance
  17 Nov 2016 · 0 repositories · arXiv:1611.05817
• LIME: A Method for Low-light IMage Enhancement
  17 May 2016 · 0 repositories · arXiv:1605.05034
• "Why Should I Trust You?": Explaining the Predictions of Any Classifier
  16 Feb 2016 · 27 repositories · arXiv:1602.04938
  Syntology official (archive's flag): 1 ran · 13 ran (of which 4 constructed an object rather than computing a result; 13 with no instrument failure: 1 honoured, 0 violated, 12 with no contract checked; 0 where Syntology's instrument failed) · 6 unverified (of 19 harvested samples)