Methods › Computer Vision › Image Models › WideResNet › Papers where code ran, page 1

WideResNet

Papers archive 2025-07-28

archive papers tagged: 58 · with a code link: 39 · where Syntology ran a sample: 22 (21 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 (22 of 58 tagged: 21 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 22 of the 22 tagged papers where Syntology ran at least one harvested sample (21 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.

• FlowCon: Out-of-Distribution Detection using Flow-Based Contrastive Learning
  3 Jul 2024 · 1 repository · arXiv:2407.03489
  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: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample)
• MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition
  5 Dec 2023 · 1 repository · arXiv:2312.02829
  Syntology official (archive's flag): 12 ran · 12 ran (of which 8 constructed an object rather than computing a result; 12 with no instrument failure: 0 honoured, 0 violated, 12 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified (of 16 harvested samples) · 2 pointer-only (licence)
• Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch Retrieval
  13 Aug 2023 · 1 repository · arXiv:2308.06748
  Syntology official (archive's flag): 9 ran · 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) · 3 pointer-only (licence)
• Controlled Sparsity via Constrained Optimization or: How I Learned to Stop Tuning Penalties and Love Constraints
  8 Aug 2022 · 2 repositories · arXiv:2208.04425
  Syntology 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) · 0 unverified; the one sample that ran constructed an object rather than computing a result (of 1 harvested sample)
• Diffusion Models for Adversarial Purification
  16 May 2022 · 2 repositories · arXiv:2205.07460
  Syntology official (archive's flag): 2 ran · 16 ran (of which 0 constructed an object rather than computing a result; 12 with no instrument failure: 3 honoured, 0 violated, 9 with no contract checked; 4 where Syntology's instrument failed) · 7 unverified (of 23 harvested samples) · 9 pointer-only (licence)
• On Generating Transferable Targeted Perturbations
  26 Mar 2021 · 3 repositories · arXiv:2103.14641
  Syntology official (archive's flag): 1 ran · 5 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; 3 where Syntology's instrument failed) · 0 unverified (of 5 harvested samples) · 2 pointer-only (licence)
• Active Testing: Sample-Efficient Model Evaluation
  9 Mar 2021 · 1 repository · arXiv:2103.05331
  Syntology 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) · 0 unverified; the one sample that ran constructed an object rather than computing a result (of 1 harvested sample)
• PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization
  17 Nov 2020 · 26 repositories · arXiv:2011.08785
  Syntology 7 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 1 honoured, 1 violated, 0 with no contract checked; 5 where Syntology's instrument failed) · 0 unverified (of 7 harvested samples) · 3 pointer-only (licence)
• Energy-based Out-of-distribution Detection
  8 Oct 2020 · 6 repositories · arXiv:2010.03759
  Syntology 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) · 3 unverified (of 6 harvested samples)
• Hybrid Discriminative-Generative Training via Contrastive Learning
  17 Jul 2020 · 1 repository · arXiv:2007.09070
  Syntology official (archive's flag): 9 ran · 9 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 1 honoured, 0 violated, 5 with no contract checked; 3 where Syntology's instrument failed) · 2 unverified (of 11 harvested samples) · 1 pointer-only (licence)
• Hyperparameter Ensembles for Robustness and Uncertainty Quantification
  24 Jun 2020 · 3 repositories · arXiv:2006.13570
  Syntology official (archive's flag): 2 ran · 2 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; 1 where Syntology's instrument failed) · 2 unverified (of 4 harvested samples)
• Generative Latent Implicit Conditional Optimization when Learning from Small Sample
  31 Mar 2020 · 1 repository · arXiv:2003.14297
  Syntology official (archive's flag): 10 ran · 10 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 0 honoured, 0 violated, 10 with no contract checked; 0 where Syntology's instrument failed) · 6 unverified (of 16 harvested samples)
• Sparse Weight Activation Training
  7 Jan 2020 · 1 repository · arXiv:2001.01969
  Syntology official (archive's flag): 3 ran · 3 ran (of which 3 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) · 1 unverified; every one of the 3 samples that ran constructed an object rather than computing a result (of 4 harvested samples) · 4 pointer-only (licence)
• What's Hidden in a Randomly Weighted Neural Network?
  29 Nov 2019 · 4 repositories · arXiv:1911.13299
  Syntology official (archive's flag): 5 ran · 9 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; 1 where Syntology's instrument failed) · 0 unverified (of 9 harvested samples) · 5 pointer-only (licence)
• RandAugment: Practical automated data augmentation with a reduced search space
  30 Sep 2019 · 19 repositories · arXiv:1909.13719
  Syntology 58 ran (of which 1 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 1 violated, 6 with no contract checked; 51 where Syntology's instrument failed) · 7 unverified (of 65 harvested samples) · 17 pointer-only (licence)
• Mish: A Self Regularized Non-Monotonic Activation Function
  23 Aug 2019 · 9 repositories · arXiv:1908.08681
  Syntology 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)
• Fast AutoAugment
  1 May 2019 · 11 repositories · arXiv:1905.00397
  Syntology official (archive's flag): 9 ran · 37 ran (of which 2 constructed an object rather than computing a result; 21 with no instrument failure: 0 honoured, 0 violated, 21 with no contract checked; 16 where Syntology's instrument failed) · 3 unverified (of 40 harvested samples) · 7 pointer-only (licence)
• Attention Augmented Convolutional Networks
  22 Apr 2019 · 14 repositories · arXiv:1904.09925
  Syntology 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) · 3 unverified (of 6 harvested samples) · 1 pointer-only (licence)
• CBAM: Convolutional Block Attention Module
  17 Jul 2018 · 31 repositories · arXiv:1807.06521
  Syntology 13 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; 3 where Syntology's instrument failed) · 9 unverified (of 22 harvested samples) · 3 pointer-only (licence)
• Averaging Weights Leads to Wider Optima and Better Generalization
  14 Mar 2018 · 17 repositories · arXiv:1803.05407
  Syntology official (archive's flag): 2 ran · 7 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 1 honoured, 1 violated, 3 with no contract checked; 2 where Syntology's instrument failed) · 2 unverified (of 9 harvested samples) · 4 pointer-only (licence)
• ShakeDrop Regularization for Deep Residual Learning
  7 Feb 2018 · 5 repositories · arXiv:1802.02375
  Syntology official: no sample here; runs from other or unrecorded repositories · 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)
• Wide Residual Networks
  23 May 2016 · 72 repositories · arXiv:1605.07146
  Syntology official (archive's flag): 3 ran · 66 ran (of which 31 constructed an object rather than computing a result; 48 with no instrument failure: 0 honoured, 0 violated, 48 with no contract checked; 18 where Syntology's instrument failed) · 30 unverified (of 96 harvested samples) · 50 pointer-only (licence)