Methods › General › Regularization › Orthogonal Regularization › Papers where code ran, page 1
Orthogonal Regularization
Papers archive 2025-07-28
archive papers tagged: 27 · with a code link: 17 · where Syntology ran a sample: 6 (6 with a run with no instrument failure, 0 where every run was a failure of Syntology's instrument) Syntology
Show: all tagged papersonly where code ran (6 of 27 tagged: 6 with a run with no instrument failure, 0 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 6 of the 6 tagged papers where Syntology ran at least one harvested sample (6 with a run with no instrument failure, 0 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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Preventing Dimensional Collapse in Self-Supervised Learning via Orthogonality Regularization 1 Nov 2024 · 1 repository · arXiv:2411.00392Syntology 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) · 1 pointer-only (licence)
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Learn to Preserve and Diversify: Parameter-Efficient Group with Orthogonal Regularization for Domain Generalization 21 Jul 2024 · 1 repository · arXiv:2407.15085Syntology official (archive's flag): 11 ran · 11 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 1 honoured, 0 violated, 8 with no contract checked; 2 where Syntology's instrument failed) · 2 unverified (of 13 harvested samples) · 3 pointer-only (licence)
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A Spectral Energy Distance for Parallel Speech Synthesis 3 Aug 2020 · 2 repositories · arXiv:2008.01160Syntology community repositories only · 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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High Fidelity Speech Synthesis with Adversarial Networks 25 Sep 2019 · 3 repositories · arXiv:1909.11646Syntology official (archive's flag): 1 ran · 3 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; 2 where Syntology's instrument failed) · 2 unverified (of 5 harvested samples) · 4 pointer-only (licence)
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Large Scale GAN Training for High Fidelity Natural Image Synthesis 28 Sep 2018 · 35 repositories · arXiv:1809.11096Syntology 28 ran (of which 0 constructed an object rather than computing a result; 20 with no instrument failure: 1 honoured, 2 violated, 17 with no contract checked; 8 where Syntology's instrument failed) · 13 unverified (of 41 harvested samples) · 14 pointer-only (licence)
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Neural Photo Editing with Introspective Adversarial Networks 22 Sep 2016 · 2 repositories · arXiv:1609.07093Syntology official (archive's flag): 2 ran · 2 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; 0 where Syntology's instrument failed) · 0 unverified (of 2 harvested samples)