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to_one_hot

Syntologyentry name in harvested coderead from the graph 2026-09-24

to_one_hot appears in the code Syntology harvested for 44 papers, as 35 distinct code bodies found in 45 places (a place is one code body under one paper). At least one of them ran in 19 of the papers; 0 of the code bodies carry a behaviour fingerprint.

What this page is not. Routines are grouped here by the exact string of their function or class name. Nothing asserts that two samples named to_one_hot do the same thing, share code, or are comparable; the name is a string, not an identity. Behaviour outputs (what a fingerprinted sample returned on the shared battery) are not in this export and are not shown here; the graph at syntology.ai holds them. "Ran" means executed on a synthesized fixture, not that the code is correct or reproduces a paper.

Samples Syntology

Syntology ran 13 of the 35 distinct code bodies named to_one_hot; 22 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

1ran · honoured contract
0ran · violated contract
5ran · our draft was wrong
2ran · fixture could not drive it
5ran
22unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 9 of the 45 places are pointer only (Syntology does not serve that copy's text). This site shows no code text for any sample; every row below links to the file in its repository where the record names one.

“Ran” means the sample executed on a synthesized input; it does not mean the output is correct. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code, and those samples did run. The ran count above is every status except unverified, the same rule as each paper page.

Papers

44 papers shown of 44, newest first; 45 places in the table. A paper with no recorded date is placed by the month its arXiv id encodes, shown in the Date column as YYYY-MM (from id). One row per place: a paper whose repository defines the name more than once appears more than once, and the same code body held for several papers appears once under each, with the same status. Titles and dates are the archive's archive 2025-07-28 for papers in the archive, and the graph's for 3 papers added by Syntology; 3 papers have no page here and are shown by arXiv id only. Status and fingerprint are Syntology's record of each code body; licence is recorded for each place. The File cell ends with the code body's code_sha256, Syntology's identity for that exact code: an agent fetches the stored sample with Syntology's MCP tool get_code(code_sha256="…") (how to connect); click an identity to copy that call.

PaperDateFileStatus SyntologyLicence
Rethinking Dataset Distillation for Classification: Do Distilled Sets Outperform Coresets? added by Syntology 2026-06 (from id) Jiacheng8/FADRM/models/util.py 4f312e21745a6f61 ran MIT (permissive)
CalArena: A Large-Scale Post-Hoc Calibration Benchmark added by Syntology 2026-05 (from id) probkit/probmetrics/probmetrics/calibrators/base.py 3836d7ad343a7f8b ran · our draft was wrong Apache-2.0 (permissive)
A Variational Estimator for L p Calibration Errors added by Syntology 2026-02 (from id) dholzmueller/probmetrics/probmetrics/distributions.py 3836d7ad343a7f8b ran · our draft was wrong Apache-2.0 (permissive)
FADRM: Fast and Accurate Data Residual Matching for Dataset Distillation 30 Jun 2025 jiacheng8/fadrm/models/util.py 4f312e21745a6f61 ran MIT (permissive)
Team up GBDTs and DNNs: Advancing Efficient and Effective Tabular Prediction with Tree-hybrid MLPs 13 Jul 2024 jyansir/tmlp/models/node/nn_utils.py c169a4c49b79cc3e ran MIT (permissive)
Breaking the Barrier: Enhanced Utility and Robustness in Smoothed DRL Agents 26 Jun 2024 trustworthy-ml-lab/robust_highutil_smoothed_drl/SDQN/attacks.py 488e5c100aa0a20b ran · honoured contract no licence file found · pointer only
MGF: Mixed Gaussian Flow for Diverse Trajectory Prediction 19 Feb 2024 mulplue/MGF/src/models/TP/model_utils.py 8f0b65c232680906 ran MIT (permissive)
SAM-Assisted Remote Sensing Imagery Semantic Segmentation with Object and Boundary Constraints 5 Dec 2023 ctrlovefly/df4lcz/data_loader_single.py 6736ce9253a49a0d unverified MIT (permissive)
Learning Robust Precipitation Forecaster by Temporal Frame Interpolation 30 Nov 2023 secilia-cxy/unettfi/utils/evaluate.py a8dc89123a203aff ran licence not identified · pointer only
Performative Time-Series Forecasting 9 Oct 2023 adityalab/pets/run_covid.py 63522329e89eacb1 ran no licence file found · pointer only
SALSA-CLRS: A Sparse and Scalable Benchmark for Algorithmic Reasoning 21 Sep 2023 jkminder/salsa-clrs/baselines/core/metrics.py 3657a50f2af74956 unverified Apache-2.0 (permissive)
Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation 1 May 2023 DeepMed-Lab-ECNU/BCP/code/utils/BCP_utils.py ae8cca7f206aff6e ran · fixture could not drive it MIT (permissive)
GANDALF: Gated Adaptive Network for Deep Automated Learning of Features 18 Jul 2022 manujosephv/GATE/gate/utils.py c169a4c49b79cc3e ran MIT (permissive)
GANDALF: Gated Adaptive Network for Deep Automated Learning of Features 18 Jul 2022 manujosephv/pytorch_tabular/src/pytorch_tabular/utils/nn_utils.py 6edad99ec591a849 unverified MIT (permissive)
Fast Instrument Learning with Faster Rates 22 May 2022 meta-inf/fil/hllt_data/mnist.py e725fda2b58f394d unverified MIT (permissive)
Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making 10 May 2022 ayanmaj92/fairall/lipstd/utils.py f3c2af6e657912cd unverified MIT (permissive)
PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions 26 Apr 2022 yiyixuxu/polyloss-pytorch/PolyLoss.py 6806c813ec675aab ran · fixture could not drive it no licence file found · pointer only
Unsupervised Learning of Temporal Abstractions with Slot-based Transformers 25 Mar 2022 agopal42/slottar/baselines_utils.py 8d63f384045362b9 unverified MIT (permissive)
Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric Approach 5 Feb 2022 horsepurve/deepvoro/wrn_mixup_model.py 61ea85418a6324dc unverified MIT (permissive)
GALAXY: Graph-based Active Learning at the Extreme 3 Feb 2022 jifanz/GALAXY/src/utils.py 66cbf99986b3da82 unverified MIT (permissive)
Interactive Machine Comprehension with Dynamic Knowledge Graphs 31 Aug 2021 xingdi-eric-yuan/imrc_graph_public/layers.py a22dcfef9da055e4 unverified MIT recorded; this copy not marked cleared · pointer only
Task-Oriented Dialogue System as Natural Language Generation 31 Aug 2021 victorwz/tod_as_nlg/Convlab/convlab/lib/math_util.py bd93e2a982e7fb52 unverified MIT (permissive)
Complementary Patch for Weakly Supervised Semantic Segmentation 9 Aug 2021 Ferenas/CPN/misc/pyutils.py fa36a8f1f0a5a428 unverified MIT (permissive)
Self-Training with Weak Supervision 12 Apr 2021 microsoft/ASTRA/astra/RuleAttentionNetwork.py a9b299e92b4afc95 ran · our draft was wrong MIT (permissive)
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning 12 Feb 2021 vanint/core-tuning/Core-tuning.py a1632d5996c13565 ran · our draft was wrong no licence file found · pointer only
On the exact computation of linear frequency principle dynamics and its generalization 15 Oct 2020 xuzhiqin1990/LFP/BasicFunc.py dd87064db326e501 ran · our draft was wrong no licence file found · pointer only
Molecule Edit Graph Attention Network: Modeling Chemical Reactions as Sequences of Graph Edits 27 Jun 2020 molecule-one/megan/src/model/megan.py e5bfe5eefc935780 unverified MIT (permissive)
P3GM: Private High-Dimensional Data Release via Privacy Preserving Phased Generative Model 22 Jun 2020 tsubasat/P3GM/ml_task/exp_ml.py b884282977ee4610 unverified MIT (permissive)
PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks 14 Jun 2020 chandar-lab/PatchUp/utility/utils.py b7759e06a641aece unverified MIT (permissive)
AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image Classification 21 Apr 2020 hchoi71/AMC-Loss/dataset.py 7e3dbd1d8ec95770 unverified MIT (permissive)
Editable Neural Networks 1 Apr 2020 editable-ICLR2020/editable/lib/utils/basic.py c169a4c49b79cc3e ran no licence file found · pointer only
Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data 9 Jan 2020 StanfordASL/Trajectron-plus-plus/trajectron/model/model_utils.py 8f0b65c232680906 ran MIT (permissive)
Joint-task Self-supervised Learning for Temporal Correspondence 26 Sep 2019 Liusifei/UVC/libs/track_utils.py 64adabd58edb62ca unverified MIT (permissive)
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data 13 Sep 2019 Qwicen/node/lib/nn_utils.py c169a4c49b79cc3e ran MIT (permissive)
Interactive Machine Comprehension with Information Seeking Agents 27 Aug 2019 xingdi-eric-yuan/imrc_public/layers.py a22dcfef9da055e4 unverified MIT recorded; this copy not marked cleared · pointer only
Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations 10 Apr 2019 jiwoon-ahn/irn/misc/pyutils.py fa36a8f1f0a5a428 unverified MIT (permissive)
CompILE: Compositional Imitation Learning and Execution 4 Dec 2018 tkipf/compile/utils.py 28109ef020a3ac20 unverified MIT (permissive)
nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation 27 Sep 2018 justld/nnunet_paddle/nnunet_tools/nnunet_fold_val.py 14526317bd565411 unverified Apache-2.0 (permissive)
Differentiable Compositional Kernel Learning for Gaussian Processes 12 Jun 2018 thjashin/spectral-stein-grad/utils/dataset.py c28e0523d961eb32 unverified MIT (permissive)
Spreading vectors for similarity search 8 Jun 2018 lsyhprum/brewess/lib/nn_utils.py b26e044dc568ced8 unverified MIT (permissive)
Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics using CNNs 25 Feb 2018 PRBonn/bonnetal/train/common/onehot.py 96fb76c9f118b2ec unverified MIT (permissive)
WaveNet: A Generative Model for Raw Audio 12 Sep 2016 swasun/VQ-VAE-Speech/src/wavenet_vocoder/wavenet.py 09179961802765aa ran · our draft was wrong MIT (permissive)
arXiv:aaai_20108 jieqin-ai/AMR/misc/pyutils.py fa36a8f1f0a5a428 unverified Apache-2.0 (permissive)
arXiv:Lazarou_Iterative_Label_Cleaning_for_Transductive_and_Semi-Supervised_Few-Shot_Learning_ICCV_2021_paper MichalisLazarou/iLPC/wrn_mixup_model.py 61ea85418a6324dc unverified MIT (permissive)
arXiv:Huang_PrimitiveNet_Primitive_Instance_Segmentation_With_Local_Primitive_Embedding_Under_Adversarial_ICCV_2021_paper hjwdzh/PrimitiveNet/src/eval_iou.py 6e720851aee71b1e unverified MIT (permissive)

This site shows no code text; each File cell links to the file on GitHub at the repository's current default branch, which may have changed since the harvest. "Pointer only" means Syntology does not serve that copy's text, for one of four reasons: no licence file was found; the licence was not identified; the licence is recorded as permissive but that copy's record is not marked cleared; or the licence is outside the permissive list Syntology serves text under (MIT, Apache-2.0, BSD and similar). Some licences outside that list permit redistribution, such as WTFPL, and GPL-3.0 under its conditions; they are simply not on the list. Hover a licence cell for the reason. Per-sample records for a paper are on its paper page under "Code Syntology ran".

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