Methods › General › Meta-Learning Algorithms › MAML › Papers where code ran, page 1
Model-Agnostic Meta-Learning
MAML
Papers archive 2025-07-28
archive papers tagged: 232 · with a code link: 90 · where Syntology ran a sample: 28 (18 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 (28 of 232 tagged: 18 with a run with no instrument failure, 10 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 28 of the 28 tagged papers where Syntology ran at least one harvested sample (18 with a run with no instrument failure, 10 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.
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ARCLE: The Abstraction and Reasoning Corpus Learning Environment for Reinforcement Learning 30 Jul 2024 · 1 repository · arXiv:2407.20806Syntology 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)
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Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement 11 Mar 2024 · 2 repositories · arXiv:2403.06659Syntology 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) · 4 unverified (of 12 harvested samples)
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Meta-Learning with a Geometry-Adaptive Preconditioner 4 Apr 2023 · 1 repository · arXiv:2304.01552Syntology 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, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (of 3 harvested samples)
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MetaAudio: A Few-Shot Audio Classification Benchmark 5 Apr 2022 · 1 repository · arXiv:2204.02121Syntology 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)
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Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning 17 Mar 2022 · 1 repository · arXiv:2203.09137Syntology official (archive's flag): 4 ran · 4 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; 3 where Syntology's instrument failed) · 0 unverified (of 4 harvested samples)
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PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information 30 Jan 2022 · 1 repository · arXiv:2201.12928Syntology official (archive's flag): 3 ran · 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) · 4 pointer-only (licence)
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The Effect of Diversity in Meta-Learning 27 Jan 2022 · 1 repository · arXiv:2201.11775Syntology official (archive's flag): 3 ran · 3 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 2 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 3 harvested samples) · 3 pointer-only (licence)
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Meta-learning Spiking Neural Networks with Surrogate Gradient Descent 26 Jan 2022 · 1 repository · arXiv:2201.10777Syntology 7 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; 2 where Syntology's instrument failed) · 2 unverified (of 9 harvested samples) · 1 pointer-only (licence)
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Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning 8 Oct 2021 · 1 repository · arXiv:2110.03909Syntology official (archive's flag): 3 ran · 3 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified (of 4 harvested samples) · 4 pointer-only (licence)
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Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis 29 Sep 2021 · 1 repository · arXiv:2109.14595Syntology 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)
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How to Train Your MAML to Excel in Few-Shot Classification 30 Jun 2021 · 1 repository · arXiv:2106.16245Syntology official (archive's flag): 3 ran · 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) · 2 unverified (of 5 harvested samples) · 5 pointer-only (licence)
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MAML is a Noisy Contrastive Learner in Classification 29 Jun 2021 · 1 repository · arXiv:2106.15367Syntology 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) · 0 unverified; the one sample that ran constructed an object rather than computing a result (of 1 harvested sample)
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Exploring the Similarity of Representations in Model-Agnostic Meta-Learning 12 May 2021 · 1 repository · arXiv:2105.05757Syntology official (archive's flag): 7 ran · 7 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 3 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (of 8 harvested samples) · 3 pointer-only (licence)
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Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning 16 Mar 2021 · 1 repository · arXiv:2103.09027Syntology 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)
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Few-Shot Learning with Class Imbalance 7 Jan 2021 · 1 repository · arXiv:2101.02523Syntology 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)
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Feature Learning in Infinite-Width Neural Networks 30 Nov 2020 · 4 repositories · arXiv:2011.14522Syntology community repositories only · 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)
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Meta-Learning with Adaptive Hyperparameters 31 Oct 2020 · 2 repositories · arXiv:2011.00209Syntology 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)
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BOIL: Towards Representation Change for Few-shot Learning 20 Aug 2020 · 1 repository · arXiv:2008.08882Syntology 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) · 2 unverified; the one sample that ran constructed an object rather than computing a result (of 3 harvested samples) · 3 pointer-only (licence)
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La-MAML: Look-ahead Meta Learning for Continual Learning 27 Jul 2020 · 3 repositories · arXiv:2007.13904Syntology official (archive's flag): 3 ran · 5 ran (of which 1 constructed an object rather than computing a result; 4 with no instrument failure: 1 honoured, 0 violated, 3 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified (of 6 harvested samples) · 1 pointer-only (licence)
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Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs 5 Jul 2020 · 1 repository · arXiv:2007.02387Syntology 4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 1 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 4 harvested samples)
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Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning 12 Mar 2020 · 1 repository · arXiv:2003.05856Syntology 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) · 4 unverified (of 7 harvested samples)
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Theoretical Convergence of Multi-Step Model-Agnostic Meta-Learning 18 Feb 2020 · 2 repositories · arXiv:2002.07836Syntology official (archive's flag): 2 ran · 2 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; 1 where Syntology's instrument failed) · 0 unverified (of 2 harvested samples) · 2 pointer-only (licence)
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Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation 30 Oct 2019 · 2 repositories · arXiv:1910.13616Syntology community repositories only · 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)
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Meta-Learning with Implicit Gradients 10 Sep 2019 · 6 repositories · arXiv:1909.04630Syntology official (archive's flag): 7 ran · 27 ran (of which 4 constructed an object rather than computing a result; 8 with no instrument failure: 3 honoured, 1 violated, 4 with no contract checked; 19 where Syntology's instrument failed) · 9 unverified (of 36 harvested samples) · 10 pointer-only (licence)
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How to train your MAML 22 Oct 2018 · 10 repositories · arXiv:1810.09502Syntology 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)
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Fast Context Adaptation via Meta-Learning 8 Oct 2018 · 1 repository · arXiv:1810.03642Syntology official (archive's flag): 4 ran · 4 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; 1 where Syntology's instrument failed) · 2 unverified (of 6 harvested samples) · 1 pointer-only (licence)
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On First-Order Meta-Learning Algorithms 8 Mar 2018 · 13 repositories · arXiv:1803.02999Syntology official (archive's flag): 8 ran · 27 ran (of which 2 constructed an object rather than computing a result; 9 with no instrument failure: 1 honoured, 2 violated, 6 with no contract checked; 18 where Syntology's instrument failed) · 15 unverified (of 42 harvested samples) · 13 pointer-only (licence)
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Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks 9 Mar 2017 · 85 repositories · arXiv:1703.03400Syntology official (archive's flag): 1 ran · 103 ran (of which 35 constructed an object rather than computing a result; 72 with no instrument failure: 6 honoured, 1 violated, 65 with no contract checked; 31 where Syntology's instrument failed) · 51 unverified (of 154 harvested samples) · 57 pointer-only (licence)