Datasets › ImageNet-C › Papers where code ran, page 1

ImageNet-C

Papers archive 2025-07-28

papers with a benchmark row: 29 · with a code link: 29 · where Syntology ran a sample: 17 (15 with a run with no instrument failure, 2 where every run was a failure of Syntology's instrument) Syntology

Show: all papers with a benchmark rowonly where code ran (17 of 29 with a benchmark row: 15 with a run with no instrument failure, 2 where every run was a failure of Syntology's instrument)

Syntology We ran code from the paper's repository; we did not run it on this dataset or check it against this dataset's benchmarks.

Page 1 of 1: papers 1 to 17 of the 17 papers with a benchmark row here where Syntology ran at least one harvested sample (15 with a run with no instrument failure, 2 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.

The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset, not that list; the archive's count for this dataset is 602. The Syntology column is from Syntology's graph, stated per sample; it is not part of any archive number. A line reads “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” (C is a part of N, never taken away from it); the figure “where Syntology's instrument failed” counts failures of Syntology's instrument, not of the code. “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. When the archive marks a repository official for the paper, the cell 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. Syntology's record for this page has not changed since , the first build that kept a record date for it; when this build read Syntology's graph is in the build record.

PaperCodeResultsDateSamples run Syntology
Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors 1 1 12 Mar 2024 official (archive's flag): 3 ran · 4 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; 3 where Syntology's instrument failed) · 0 unverified (1 pointer-only for licence)
DINOv2: Learning Robust Visual Features without Supervision 26 4 14 Apr 2023 community repositories only · 39 ran (of which 13 constructed an object rather than computing a result; 35 with no instrument failure: 2 honoured, 0 violated, 33 with no contract checked; 4 where Syntology's instrument failed) · 7 unverified (12 pointer-only for licence)
MetaFormer Baselines for Vision 8 5 24 Oct 2022 community repositories only · 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) · 3 unverified
Enhance the Visual Representation via Discrete Adversarial Training 1 1 16 Sep 2022 official (archive's flag): 9 ran · 10 ran (of which 5 constructed an object rather than computing a result; 7 with no instrument failure: 2 honoured, 0 violated, 5 with no contract checked; 3 where Syntology's instrument failed) · 1 unverified (1 pointer-only for licence)
Sequencer: Deep LSTM for Image Classification 5 1 4 May 2022 official (archive's flag): 4 ran · 4 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; 0 where Syntology's instrument failed) · 5 unverified
Improving Vision Transformers by Revisiting High-frequency Components 1 1 3 Apr 2022 official (archive's flag): 11 ran · 11 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; 2 where Syntology's instrument failed) · 3 unverified
A ConvNet for the 2020s 54 1 10 Jan 2022 community repositories only · 57 ran (of which 39 constructed an object rather than computing a result; 49 with no instrument failure: 1 honoured, 0 violated, 48 with no contract checked; 8 where Syntology's instrument failed) · 23 unverified (12 pointer-only for licence)
PRIME: A few primitives can boost robustness to common corruptions 1 3 27 Dec 2021 official (archive's flag): 7 ran · 7 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 3 honoured, 1 violated, 2 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified
Masked Autoencoders Are Scalable Vision Learners 58 1 11 Nov 2021 official: no sample here; runs from other or unrecorded repositories · 86 ran (of which 40 constructed an object rather than computing a result; 69 with no instrument failure: 7 honoured, 0 violated, 62 with no contract checked; 17 where Syntology's instrument failed) · 51 unverified (78 pointer-only for licence)
Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain 1 2 19 Aug 2021 official (archive's flag): 9 ran · 9 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; 7 where Syntology's instrument failed) · 1 unverified
Global Filter Networks for Image Classification 4 1 1 Jul 2021 official (archive's flag): 5 ran · 6 ran (of which 3 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) · 4 unverified (5 pointer-only for licence)
If your data distribution shifts, use self-learning 1 10 27 Apr 2021 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
Improving robustness against common corruptions by covariate shift adaptation 2 6 30 Jun 2020 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) · 0 unverified
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization 1 1 29 Jun 2020 official (archive's flag): 14 ran · 14 ran (of which 1 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 12 where Syntology's instrument failed) · 0 unverified
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty 15 1 5 Dec 2019 official (archive's flag): 12 ran · 46 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 4 honoured, 2 violated, 3 with no contract checked; 37 where Syntology's instrument failed) · 5 unverified (25 pointer-only for licence)
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations 14 1 28 Mar 2019 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
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness 7 1 29 Nov 2018 community repositories only · 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) · 3 unverified