Methods › General › Parameter Norm Penalties › L1 Regularization › Papers where code ran, page 1
L1 Regularization
Papers archive 2025-07-28
archive papers tagged: 90 · with a code link: 35 · where Syntology ran a sample: 13 (12 with a run with no instrument failure, 1 where every run was a failure of Syntology's instrument) Syntology
Show: all tagged papersonly where code ran (13 of 90 tagged: 12 with a run with no instrument failure, 1 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 13 of the 13 tagged papers where Syntology ran at least one harvested sample (12 with a run with no instrument failure, 1 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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Adaptive Rank Allocation: Speeding Up Modern Transformers with RaNA Adapters 23 Mar 2025 · 1 repository · arXiv:2503.18216Syntology official (archive's flag): 3 ran · 3 ran (of which 1 constructed an object rather than computing a result; 2 with no instrument failure: 1 honoured, 0 violated, 1 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified (of 4 harvested samples)
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EH-MAM: Easy-to-Hard Masked Acoustic Modeling for Self-Supervised Speech Representation Learning 17 Oct 2024 · 1 repository · arXiv:2410.13179Syntology 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) · 2 pointer-only (licence)
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AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning with Masked Autoencoders 16 Nov 2022 · 2 repositories · arXiv:2211.09120Syntology official (archive's flag): 14 ran · 18 ran (of which 0 constructed an object rather than computing a result; 17 with no instrument failure: 0 honoured, 0 violated, 17 with no contract checked; 1 where Syntology's instrument failed) · 7 unverified (of 25 harvested samples) · 6 pointer-only (licence)
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Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning 4 Jun 2021 · 3 repositories · arXiv:2106.02584Syntology official (archive's flag): 6 ran · 22 ran (of which 4 constructed an object rather than computing a result; 22 with no instrument failure: 2 honoured, 1 violated, 19 with no contract checked; 0 where Syntology's instrument failed) · 8 unverified (of 30 harvested samples)
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Building Reliable Explanations of Unreliable Neural Networks: Locally Smoothing Perspective of Model Interpretation 26 Mar 2021 · 1 repository · arXiv:2103.14332Syntology 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) · 1 unverified; the one sample that ran constructed an object rather than computing a result (of 2 harvested samples) · 2 pointer-only (licence)
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Scaling Up Exact Neural Network Compression by ReLU Stability 15 Feb 2021 · 1 repository · arXiv:2102.07804Syntology official (archive's flag): 3 ran · 3 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; 2 where Syntology's instrument failed) · 5 unverified (of 8 harvested samples) · 8 pointer-only (licence)
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Learning from a Complementary-label Source Domain: Theory and Algorithms 4 Aug 2020 · 1 repository · arXiv:2008.01454Syntology official (archive's flag): 3 ran · 3 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; 2 where Syntology's instrument failed) · 1 unverified (of 4 harvested samples) · 4 pointer-only (licence)
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Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation 29 Jul 2020 · 1 repository · arXiv:2007.14612Syntology official (archive's flag): 3 ran · 3 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; 2 where Syntology's instrument failed) · 1 unverified (of 4 harvested samples) · 4 pointer-only (licence)
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Mish: A Self Regularized Non-Monotonic Activation Function 23 Aug 2019 · 9 repositories · arXiv:1908.08681Syntology official (archive's flag): 6 ran · 9 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 1 honoured, 0 violated, 7 with no contract checked; 1 where Syntology's instrument failed) · 3 unverified (of 12 harvested samples) · 1 pointer-only (licence)
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Augmenting Self-attention with Persistent Memory 2 Jul 2019 · 2 repositories · arXiv:1907.01470Syntology 5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 2 honoured, 3 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 5 harvested samples) · 4 pointer-only (licence)
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Non-Autoregressive Neural Text-to-Speech 21 May 2019 · 2 repositories · arXiv:1905.08459Syntology 6 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; 2 where Syntology's instrument failed) · 1 unverified (of 7 harvested samples)
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ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech 19 Jul 2018 · 5 repositories · arXiv:1807.07281Syntology 10 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 1 honoured, 0 violated, 9 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified (of 13 harvested samples) · 1 pointer-only (licence)
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Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning 20 Oct 2017 · 7 repositories · arXiv:1710.07654Syntology 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)