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loss

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

loss appears in the code Syntology harvested for 50 papers, as 52 distinct code bodies found in 54 places (a place is one code body under one paper). At least one of them ran in 20 of the papers; 13 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 loss 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 22 of the 52 distinct code bodies named loss; 30 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

6ran · honoured contract
6ran · violated contract
3ran · our draft was wrong
1ran · fixture could not drive it
6ran
30unverified
13fingerprinted

Licence is a property of each copy, so it is counted per place: 14 of the 54 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

50 papers shown of 50, newest first; 54 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; 1 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
Generative Modeling under Non-Monotone MAR Missingness via Approximate Wasserstein Gradient Flows added by Syntology 2026-04 (from id) yujhml/MIRI-Imputation/src/imputer.py 5bc00938c66e0254 ran · our draft was wrong MIT (permissive)
Neural Algorithmic Reasoning for Approximate k-Coloring with Recursive Warm Starts added by Syntology 2026-01 (from id) Weber-GeoML/ColoringGNNs/full_gcn.py bf8d3da6f0cd5d30 ran · honoured contract no licence file found · pointer only
The Relative Instability of Model Comparison with Cross-validation added by Syntology 2025-08 (from id) alexandre-bayle/ricv/cv_num_exper.py ceb46fbec14d96ab unverified MIT (permissive)
Zeroth-Order Optimization Finds Flat Minima 5 Jun 2025 Liang137/FlatZero/test_func/run_toy.py 68cef691420d81ee ran · violated contract fingerprinted MIT (permissive)
On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory 16 Dec 2024 andrea-perin/gpsymm/mlp_trained.py 7f1d2d2eaaff7f24 unverified no licence file found · pointer only
Simulation-based inference has its own Dodelson-Schneider effect (but it knows that it does) 2024-12 (from id) homerjed/sbiax/sbiax/compression/nn.py 2e6b27b854242c96 unverified MIT (permissive)
Prospective Learning: Learning for a Dynamic Future 31 Oct 2024 neurodata/prolearn/binary/scenario1.py a69ec6ed4b5fcbbd unverified no licence file found · pointer only
MutaPLM: Protein Language Modeling for Mutation Explanation and Engineering 30 Oct 2024 PharMolix/MutaPLM/metrics.py 7dea4b6c70748bd1 unverified no licence file found · pointer only
On The Specialization of Neural Modules 23 Sep 2024 raillab/specialization_of_neural_modules/cmnist/dense/cmnist_dense.py a663197acfc463d3 unverified MIT (permissive)
Evaluating Open-Source Sparse Autoencoders on Disentangling Factual Knowledge in GPT-2 Small 5 Sep 2024 maheepchaudhary/sae-ravel/src/eval_sae.py aae0fa540b925c47 unverified no licence file found · pointer only
Fairness-Aware Estimation of Graphical Models 30 Aug 2024 pennshenlab/fair_gms/GRAPH_Framework-main/utils/GRAPH/covariance.py d4ca96158400da5d ran fingerprinted MIT (permissive)
Fairness-Aware Estimation of Graphical Models 30 Aug 2024 pennshenlab/fair_gms/GRAPH_Framework-main/utils/GRAPH/ising.py ac2bd3f200c6567a ran MIT (permissive)
Fairness-Aware Estimation of Graphical Models 30 Aug 2024 pennshenlab/fair_gms/GRAPH_Framework-main/utils/GRAPH/precision.py afb898f1b9f28dda ran MIT (permissive)
On the Robustness of Global Feature Effect Explanations 13 Jun 2024 hbaniecki/robust-feature-effects/src/loss.py 831e0df4b6f765d1 ran fingerprinted MIT (permissive)
Uncertainty quantification in fine-tuned LLMs using LoRA ensembles 19 Feb 2024 oleksandr-balabanov/equivariant-posteriors/lib/classification_metrics.py d378e469c299815f ran no licence file found · pointer only
Partially Stochastic Infinitely Deep Bayesian Neural Networks 5 Feb 2024 sergio20f/part_stoch_inf_deep/sdebnn_classification.py af7df44b7c8caf77 unverified no licence file found · pointer only
The Benefits of Reusing Batches for Gradient Descent in Two-Layer Networks: Breaking the Curse of Information and Leap Exponents 5 Feb 2024 IdePHICS/benefit-reusing-batch/dmft.py ee4033ae07851e27 ran · fixture could not drive it no licence file found · pointer only
Implicit regularization of deep residual networks towards neural ODEs 3 Sep 2023 michaelsdr/implicit-regularization-resnets-nodes/finite_training_time_convergence.py 9e75157a4fa4aa8b ran · honoured contract fingerprinted MIT (permissive)
Implicit regularization of deep residual networks towards neural ODEs 3 Sep 2023 michaelsdr/implicit-regularization-resnets-nodes/infinite_training_time.py 5c9c60032bf7c292 ran · honoured contract fingerprinted MIT (permissive)
Structuring Representation Geometry with Rotationally Equivariant Contrastive Learning 24 Jun 2023 sharut/care/imagenet100/model/loss.py 1e8ed9ddd670ec26 unverified MIT (permissive)
No more Reviewer #2: Subverting Automatic Paper-Reviewer Assignment using Adversarial Learning 25 Mar 2023 rub-syssec/adversarial-papers/src/featurespace/loss.py dad61bce0b70cf63 unverified MIT (permissive)
A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data 12 Mar 2023 pythonot/pot/examples/gromov/plot_gromov.py 68f28b95be7dc320 ran · violated contract fingerprinted MIT (permissive)
Preference Transformer: Modeling Human Preferences using Transformers for RL 2 Mar 2023 csmile-1006/preferencetransformer/critic.py 13df74f8d96dca61 ran · violated contract fingerprinted MIT (permissive)
Real-Time Target Sound Extraction 4 Nov 2022 vb000/waveformer/src/training/dcc_tf.py f56296e4096f5491 unverified MIT (permissive)
Precision Machine Learning 24 Oct 2022 ejmichaud/precision-ml/scripts/precision-netfit-gridsearch.py eb71dde3d030ca96 ran · our draft was wrong no licence file found · pointer only
Deep Linear Networks can Benignly Overfit when Shallow Ones Do 19 Sep 2022 niladri-chatterji/benign-deep-linear/src/utils.py 3c1e7b0156d6a652 unverified MIT (permissive)
ProGen2: Exploring the Boundaries of Protein Language Models 27 Jun 2022 salesforce/jaxformer/jaxformer/models/decoder/inter/model.py 943b81269283516d unverified BSD-3-Clause (permissive)
Mildly Conservative Q-Learning for Offline Reinforcement Learning 9 Jun 2022 ikostrikov/implicit_q_learning/critic.py 13df74f8d96dca61 ran · violated contract fingerprinted MIT (permissive)
Imitation Learning by Estimating Expertise of Demonstrators 2 Feb 2022 stanford-iliad/ileed/ileed/functions/loss.py dcfb85d177090972 unverified MIT (permissive)
Shared Independent Component Analysis for Multi-Subject Neuroimaging 26 Oct 2021 hugorichard/shica/shica/shicaj.py f7ebefe54a10d4b9 ran · honoured contract fingerprinted BSD-3-Clause (permissive)
Offline Reinforcement Learning with Implicit Q-Learning 12 Oct 2021 Manchery/iql-pytorch/IQL.py 162c85e425a085c5 ran · our draft was wrong fingerprinted no licence file found · pointer only
Perceptual Learned Video Compression with Recurrent Conditional GAN 7 Sep 2021 RenYang-home/OpenDVC/motion.py fde9eefed7367d3a unverified BSD-3-Clause (permissive)
Private Federated Learning Without a Trusted Server: Optimal Algorithms for Convex Losses 17 Jun 2021 lowya/private-federated-learning-without-a-trusted-server/multiclasslogistic_convexFL_obesity.py 738fe963944ac923 ran · honoured contract CC0-1.0 (permissive)
Fooling Partial Dependence via Data Poisoning 26 May 2021 MI2DataLab/fooling-partial-dependence/code/loss.py 2c250a23d7c082e5 unverified MIT (permissive)
Barlow Twins: Self-Supervised Learning via Redundancy Reduction 4 Mar 2021 gaborvecsei/Barlow-Twins/barlow_twins/loss.py bba1fbd383276faa ran · violated contract no licence file found · pointer only
What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation 9 Aug 2020 google-research/heldout-influence-estimation/mnist-example/mnist_infl_mem.py 8f1d8f0c8fede07a unverified Apache-2.0 (permissive)
Tilted Empirical Risk Minimization 2 Jul 2020 litian96/TERM/hierarchical/mixed_level1.py cc0284ce34bec031 ran fingerprinted MIT (permissive)
Learning for Video Compression with Recurrent Auto-Encoder and Recurrent Probability Model 24 Jun 2020 RenYang-home/RLVC/motion.py fde9eefed7367d3a unverified BSD-3-Clause (permissive)
U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection 18 May 2020 Akhilesh64/Image-Segmentation-U-2-Net/U2-net.py 14100923eb6556ac unverified MIT (permissive)
Towards Verifying Robustness of Neural Networks Against Semantic Perturbations 19 Dec 2019 JeetMo/Semantify-NN/utils/save_nlayer_weights.py cccee9750469bb0a unverified MIT (permissive)
Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution 22 Nov 2019 agadetsky/pytorch-pl-variance-reduction/toy_experiment.py 7ccf5c554ef3c0de ran · violated contract fingerprinted Apache-2.0 (permissive)
Objects as Points 16 Apr 2019 xuannianz/keras-CenterNet/losses.py 4983bb45b0c2630b unverified Apache-2.0 (permissive)
Beyond Pham's algorithm for joint diagonalization 28 Nov 2018 pierreablin/qndiag/qndiag/qndiag.py 9d7c6cb66a0b70e6 unverified MIT (permissive)
Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks 7 Nov 2018 cardwing/Codes-for-Steering-Control/steering-control/resnet.py 94defdbecd90aed8 unverified MIT (permissive)
Deep contextualized word representations 15 Feb 2018 yuanjing-zhu/elmo/Models/eLMO.py 893138168f6ab89b unverified no licence file found · pointer only
End-to-End Learning of Geometry and Context for Deep Stereo Regression 13 Mar 2017 zyf12389/GC-Net/gc_net.py cff4e700bf510be5 ran · honoured contract fingerprinted no licence file found · pointer only
MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving 22 Dec 2016 MarvinTeichmann/KittiSeg/decoder/kitti_multiloss.py 6260781662996ee2 unverified MIT (permissive)
MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving 22 Dec 2016 ziyuan400/video_segmentation/decoder/kitti_multiloss.py d4594ee8df53488c unverified MIT (permissive)
A Deep Multi-Level Network for Saliency Prediction 5 Sep 2016 marcellacornia/mlnet/model.py 52375b788589b77b unverified MIT (permissive)
All you need is a good init 19 Nov 2015 JonasWechsler/DeepLearningLab5/cifar10/cifar10.py 7b7d1b28f254c06c unverified MIT (permissive)
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation 2 Nov 2015 tkuanlun350/Tensorflow-SegNet/model.py f36542af7f46dc5a unverified MIT (permissive)
Very Deep Convolutional Networks for Large-Scale Image Recognition 4 Sep 2014 soumith/convnet-benchmarks/tensorflow/benchmark_alexnet.py 7a45a62c48e395fa unverified MIT (permissive)
A Fast Projected Fixed-Point Algorithm for Large Graph Matching 3 Jul 2012 emanuele/DSPFP/DSPFP.py 453938f6ea1c0d79 ran · violated contract fingerprinted no licence file found · pointer only
arXiv:aaai_21590 hbaniecki/manipulating-shap/alg/loss.py 977490aad39c7b85 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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