Methods › General › Interpretability › LIME › Papers where code ran, page 1
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)
Syntology We ran code from the paper's repository; we did not isolate this method inside it.
Page 1 of 1: papers 1 to 25 of the 25 tagged papers where Syntology ran at least one harvested sample (21 with a run with no instrument failure, 4 where every run was a failure of Syntology's instrument), newest first by the archive's date (ties by arXiv id). This is a filter on Syntology's record ordered by date only, not a ranking; a run is not a correctness claim. A paper missing from this list is not a recorded non-run: it may have no arXiv id, no harvested code, or only samples that have not run yet.
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.
-
Minimizing False-Positive Attributions in Explanations of Non-Linear Models 16 May 2025 · 1 repository · arXiv:2505.11210Syntology official (archive's flag): 8 ran · 8 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 0 violated, 8 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified (of 11 harvested samples)
-
Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse 29 Oct 2024 · 2 repositories · arXiv:2410.22598Syntology community repositories only · 6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (of 7 harvested samples)
-
LIME: Less Is More for MLLM Evaluation 10 Sep 2024 · 2 repositories · arXiv:2409.06851Syntology official (archive's flag): 13 ran · 13 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 6 where Syntology's instrument failed) · 1 unverified (of 14 harvested samples) · 14 pointer-only (licence)
-
The Effect of Model Size on LLM Post-hoc Explainability via LIME 8 May 2024 · 1 repository · arXiv:2405.05348Syntology official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified (of 3 harvested samples)
-
GLIME: General, Stable and Local LIME Explanation 27 Nov 2023 · 1 repository · arXiv:2311.15722Syntology official (archive's flag): 2 ran · 2 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 1 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 2 harvested samples) · 2 pointer-only (licence)
-
How Well Do Feature-Additive Explainers Explain Feature-Additive Predictors? 27 Oct 2023 · 1 repository · arXiv:2310.18496Syntology official (archive's flag): 6 ran · 6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified (of 10 harvested samples) · 10 pointer-only (licence)
-
Unfooling Perturbation-Based Post Hoc Explainers 29 May 2022 · 1 repository · arXiv:2205.14772Syntology 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) · 1 pointer-only (licence)
-
Deletion and Insertion Tests in Regression Models 25 May 2022 · 1 repository · arXiv:2205.12423Syntology 1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample)
-
Scrutinizing XAI using linear ground-truth data with suppressor variables 14 Nov 2021 · 1 repository · arXiv:2111.07473Syntology official (archive's flag): 8 ran · 8 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 0 violated, 8 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 8 harvested samples)
-
Quantifying Explainability in NLP and Analyzing Algorithms for Performance-Explainability Tradeoff 12 Jul 2021 · 1 repository · arXiv:2107.05693Syntology official (archive's flag): 4 ran · 4 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; 3 where Syntology's instrument failed) · 1 unverified (of 5 harvested samples) · 5 pointer-only (licence)
-
Synthetic Benchmarks for Scientific Research in Explainable Machine Learning 23 Jun 2021 · 1 repository · arXiv:2106.12543Syntology 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) · 0 unverified (of 4 harvested samples)
-
S-LIME: Stabilized-LIME for Model Explanation 15 Jun 2021 · 2 repositories · arXiv:2106.07875Syntology official (archive's flag): 2 ran · 2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 1 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified (of 4 harvested samples) · 1 pointer-only (licence)
-
To trust or not to trust an explanation: using LEAF to evaluate local linear XAI methods 1 Jun 2021 · 1 repository · arXiv:2106.00461Syntology 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) · 1 unverified (of 2 harvested samples) · 2 pointer-only (licence)
-
The Out-of-Distribution Problem in Explainability and Search Methods for Feature Importance Explanations 1 Jun 2021 · 1 repository · arXiv:2106.00786Syntology official (archive's flag): 1 ran · 1 ran (of which 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified; the one sample that ran constructed an object rather than computing a result (of 4 harvested samples)
-
LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning 15 Jan 2021 · 1 repository · arXiv:2101.06223Syntology official (archive's flag): 2 ran · 2 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; 2 where Syntology's instrument failed) · 1 unverified (of 3 harvested samples) · 3 pointer-only (licence)
-
Reliable Post hoc Explanations: Modeling Uncertainty in Explainability 11 Aug 2020 · 1 repository · arXiv:2008.05030Syntology 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)
-
Improving LIME Robustness with Smarter Locality Sampling 22 Jun 2020 · 1 repository · arXiv:2006.12302Syntology 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:2006.05714Syntology 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)
-
Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior? 4 May 2020 · 1 repository · arXiv:2005.01831Syntology 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)
-
Fooling LIME and SHAP: Adversarial Attacks on Post hoc Explanation Methods 6 Nov 2019 · 2 repositories · arXiv:1911.02508Syntology 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)
-
DLIME: A Deterministic Local Interpretable Model-Agnostic Explanations Approach for Computer-Aided Diagnosis Systems 24 Jun 2019 · 1 repository · arXiv:1906.10263Syntology 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)
-
Do Not Trust Additive Explanations 27 Mar 2019 · 2 repositories · arXiv:1903.11420Syntology 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)
-
Explanations of model predictions with live and breakDown packages 5 Apr 2018 · 4 repositories · arXiv:1804.01955Syntology 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:1801.06422Syntology 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)
-
"Why Should I Trust You?": Explaining the Predictions of Any Classifier 16 Feb 2016 · 27 repositories · arXiv:1602.04938Syntology 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)