Methods › General › Normalization › Spectral Normalization › Papers, page 3

Spectral Normalization

Papers archive 2025-07-28

archive papers tagged: 220 · with a code link: 115 · where Syntology ran a sample: 36 (30 with a run with no instrument failure, 6 where every run was a failure of Syntology's instrument) Syntology

Show: all tagged papersonly where code ran (36 of 220 tagged: 30 with a run with no instrument failure, 6 where every run was a failure of Syntology's instrument)

Page 3 of 3: papers 201 to 220 of 220, newest first by the archive's date (ties by slug), in archive order.

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.

• Improved Precision and Recall Metric for Assessing Generative Models
  15 Apr 2019 · 10 repositories · arXiv:1904.06991
  Syntology official (archive's flag): 1 ran · 30 ran (of which 12 constructed an object rather than computing a result; 20 with no instrument failure: 5 honoured, 1 violated, 14 with no contract checked; 10 where Syntology's instrument failed) · 12 unverified (of 42 harvested samples) · 25 pointer-only (licence)
• Towards Efficient and Unbiased Implementation of Lipschitz Continuity in GANs
  2 Apr 2019 · 1 repository · arXiv:1904.01184
• Conditional GANs For Painting Generation
  6 Mar 2019 · 0 repositories · arXiv:1903.06259
• High-Fidelity Image Generation With Fewer Labels
  6 Mar 2019 · 1 repository · arXiv:1903.02271
• Effect of Various Regularizers on Model Complexities of Neural Networks in Presence of Input Noise
  31 Jan 2019 · 0 repositories · arXiv:1901.11458
• Unsupervised Image-to-Image Translation with Self-Attention Networks
  24 Jan 2019 · 1 repository · arXiv:1901.08242
• On Computation and Generalization of GANs with Spectrum Control
  28 Dec 2018 · 0 repositories · arXiv:1812.10912
• How does Lipschitz Regularization Influence GAN Training?
  23 Nov 2018 · 0 repositories · arXiv:1811.09567
• Neural Lander: Stable Drone Landing Control using Learned Dynamics
  19 Nov 2018 · 2 repositories · arXiv:1811.08027
• Discriminator Rejection Sampling
  16 Oct 2018 · 1 repository · arXiv:1810.06758
• Metropolis-Hastings view on variational inference and adversarial training
  16 Oct 2018 · 0 repositories · arXiv:1810.07151
• Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images
  29 Sep 2018 · 1 repository · arXiv:1810.00236
• Large Scale GAN Training for High Fidelity Natural Image Synthesis
  28 Sep 2018 · 35 repositories · arXiv:1809.11096
  Syntology 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)
• Generative Adversarial Network with Spatial Attention for Face Attribute Editing
  1 Sep 2018 · 1 repository
• Rethinking Monocular Depth Estimation with Adversarial Training
  22 Aug 2018 · 0 repositories · arXiv:1808.07528
• The relativistic discriminator: a key element missing from standard GAN
  2 Jul 2018 · 10 repositories · arXiv:1807.00734
  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, 1 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 8 unverified (of 9 harvested samples) · 3 pointer-only (licence)
• CapsGAN: Using Dynamic Routing for Generative Adversarial Networks
  7 Jun 2018 · 1 repository · arXiv:1806.03968
• Self-Attention Generative Adversarial Networks
  21 May 2018 · 48 repositories · arXiv:1805.08318
  Syntology official (archive's flag): 1 ran · 46 ran (of which 0 constructed an object rather than computing a result; 42 with no instrument failure: 2 honoured, 0 violated, 40 with no contract checked; 4 where Syntology's instrument failed) · 35 unverified (of 81 harvested samples) · 3 pointer-only (licence)
• Spectral Normalization for Generative Adversarial Networks
  16 Feb 2018 · 38 repositories · arXiv:1802.05957
  Syntology official: no sample here; runs from other or unrecorded repositories · 25 ran (of which 9 constructed an object rather than computing a result; 21 with no instrument failure: 0 honoured, 1 violated, 20 with no contract checked; 4 where Syntology's instrument failed) · 6 unverified (of 31 harvested samples) · 15 pointer-only (licence)
• cGANs with Projection Discriminator
  15 Feb 2018 · 12 repositories · arXiv:1802.05637
  Syntology official (archive's flag): 2 ran · 9 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 1 honoured, 2 violated, 1 with no contract checked; 5 where Syntology's instrument failed) · 0 unverified (of 9 harvested samples) · 6 pointer-only (licence)