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loss_function

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

loss_function appears in the code Syntology harvested for 62 papers, as 57 distinct code bodies found in 72 places (a place is one code body under one paper). At least one of them ran in 26 of the papers; 9 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_function 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 28 of the 57 distinct code bodies named loss_function; 29 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

3ran · honoured contract
0ran · violated contract
10ran · our draft was wrong
10ran · fixture could not drive it
5ran
29unverified
9fingerprinted

Licence is a property of each copy, so it is counted per place: 30 of the 72 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

62 papers shown of 62, newest first; 72 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 1 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
Does Playing it Safe Count as Faithfulness? Reassessing LVLM Hallucination Mitigation Methods added by Syntology 2026-09 (from id) mehrdadfazli/AssessHalVLM/methods/after/train_estimator.py 1d79e7c3ef8e210a unverified no licence file found · pointer only
Your Pre-trained LLM is Secretly an Unsupervised Confidence Calibrator 22 May 2025 ml-stat-Sustech/Disagreement-Aware-Calibration/calibration/optimization.py fa545644bf2117e7 unverified MIT (permissive)
Open Set Label Shift with Test Time Out-of-Distribution Reference 9 May 2025 ChangkunYe/OpenSetLabelShift/openood/losses/rd4ad_loss.py 4c1d0e3674921db5 unverified MIT (permissive)
ContextGNN: Beyond Two-Tower Recommendation Systems 29 Nov 2024 kumo-ai/ContextGNN/benchmark/relbench_multi_vae.py 2fa173e988b208d2 unverified MIT (permissive)
Going Beyond Conventional OOD Detection 16 Nov 2024 sudarshanregmi/ascood/openood/losses/rd4ad_loss.py 4c1d0e3674921db5 unverified MIT (permissive)
Hybrid Generative AI for De Novo Design of Co-Crystals with Enhanced Tabletability 22 Oct 2024 ai-chem/gemcode/generative_models/TVAE/train_VAE/train_phys.py b0f7d8326b02cb76 unverified MIT (permissive)
Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement 29 Sep 2024 clear-nus/selective-amnesia/vae/model.py 372b74ad7eb6ab5d ran MIT (permissive)
HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models 24 Sep 2024 quehry/hellobench/regression.py 1df239616be9f69a ran MIT (permissive)
OAT: Object-Level Attention Transformer for Gaze Scanpath Prediction 18 Jul 2024 hkust-nisl/oat_eccv24/src/model/positionalEncodingLearned.py a46671905c186496 unverified no licence file found · pointer only
LAPT: Label-driven Automated Prompt Tuning for OOD Detection with Vision-Language Models 12 Jul 2024 ybzh/openood-vlm/openood/losses/rd4ad_loss.py 4c1d0e3674921db5 unverified MIT (permissive)
Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models 19 Jun 2024 YL-wang/GraphSAM/CoMPT-main/train_node.py b8314ecc65eda7d0 ran fingerprinted no licence file found · pointer only
A De-singularity Subgradient Approach for the Extended Weber Location Problem 11 May 2024 laizhr/qPWAWS/Pytorch_module/simple_example_Pytorch.py a88816beeda27b00 ran no licence file found · pointer only
A noisy elephant in the room: Is your out-of-distribution detector robust to label noise? 2 Apr 2024 glhr/ood-labelnoise/openood/losses/rd4ad_loss.py 4c1d0e3674921db5 unverified GPL-3.0 (copyleft) · pointer only
Counterfactually Fair Representation 9 Nov 2023 osu-srml/cf_representation_learning/CVAE/utils.py 9fedb529a0b04ef9 ran no licence file found · pointer only
Gradual Domain Adaptation: Theory and Algorithms 20 Oct 2023 yifei-he/goat/train_model.py 206142c1def9d0e8 ran · fixture could not drive it MIT (permissive)
Well Begun is Half Done: Generator-agnostic Knowledge Pre-Selection for Knowledge-Grounded Dialogue 11 Oct 2023 qinlang14/GATE/KnowledgeSelection/GATEModel/model.py 05cc4886d4a3c5eb unverified no licence file found · pointer only
Staged Contact-Aware Global Human Motion Forecasting 16 Sep 2023 l-scofano/stag/s1_cont_est_train.py b67ee04dd553e3b9 unverified no licence file found · pointer only
Staged Contact-Aware Global Human Motion Forecasting 16 Sep 2023 l-scofano/stag/s2_traj_train.py 9b99be6b6933199d unverified no licence file found · pointer only
Staged Contact-Aware Global Human Motion Forecasting 16 Sep 2023 l-scofano/stag/s3_pose_train.py 503114130715f458 unverified no licence file found · pointer only
Learning from Integral Losses in Physics Informed Neural Networks 27 May 2023 sabagh1994/pgvae/pgvae/pgvae.py 2504e9dac439c88a unverified licence not identified · pointer only
SIO: Synthetic In-Distribution Data Benefits Out-of-Distribution Detection 25 Mar 2023 zjysteven/sio/openood/losses/rd4ad_loss.py 4c1d0e3674921db5 unverified MIT (permissive)
Kernel Density Bayesian Inverse Reinforcement Learning 13 Mar 2023 bee-hive/kdbirl_public/sepsis_vae.py 94acd00d08843f12 unverified MIT (permissive)
Towards a Unified Theoretical Understanding of Non-contrastive Learning via Rank Differential Mechanism 4 Mar 2023 pku-ml/rank-differential-mechanism/imagenet/main_simsiam.py bdc4977b50394a14 ran · our draft was wrong MIT (permissive)
Dance of SNN and ANN: Solving binding problem by combining spike timing and reconstructive attention 11 Nov 2022 monstersecond/dasbe/dasbe/bcdae.py 54b4a90afc252038 unverified MIT (permissive)
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection 13 Oct 2022 antoinedemathelin/openood/openood/losses/rd4ad_loss.py 4c1d0e3674921db5 unverified MIT (permissive)
Contact-aware Human Motion Forecasting 8 Oct 2022 wei-mao-2019/contawaremotionpred/exp_gta_stage1_cont.py b67ee04dd553e3b9 unverified MIT (permissive)
Contact-aware Human Motion Forecasting 8 Oct 2022 wei-mao-2019/contawaremotionpred/exp_gta_stage2_pose.py 503114130715f458 unverified MIT (permissive)
CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning 4 Oct 2022 charlesge/openood-cadet/openood/losses/rd4ad_loss.py 4c1d0e3674921db5 unverified MIT (permissive)
Subquadratic Kronecker Regression with Applications to Tensor Decomposition 11 Sep 2022 fahrbach/subquadratic-kronecker-regression/kronecker_regression_main.py 565559f51bbf56ac unverified MIT (permissive)
Training Discrete Deep Generative Models via Gapped Straight-Through Estimator 15 Jun 2022 chijames/gst/gumbel_softmax_vae.py 2482f03ac1b8b9bb ran · fixture could not drive it no licence file found · pointer only
A graph representation of molecular ensembles for polymer property prediction 17 May 2022 coleygroup/polymer-chemprop-data/results/vipea/train_test_nn.py add4d7fa73071d83 unverified MIT (permissive)
Causal Transportability for Visual Recognition 26 Apr 2022 cvlab-columbia/ct4recognition/fd_waterbird.py 73f0a009a0741f72 ran · fixture could not drive it no licence file found · pointer only
Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond 18 Apr 2022 uiuctml/goat/train_model.py 206142c1def9d0e8 ran · fixture could not drive it MIT (permissive)
Targeted Attack on Deep RL-based Autonomous Driving with Learned Visual Patterns 16 Sep 2021 ASU-APG/Targeted-Physical-Adversarial-Attacks-on-AD/dynamics_model/trainvae.py bceda6b63b9938b0 unverified MIT (permissive)
Generating Smooth Pose Sequences for Diverse Human Motion Prediction 19 Aug 2021 wei-mao-2019/gsps/motion_pred/exp_dlow.py 6ea34e9827e7ac44 unverified MIT (permissive)
Generating Smooth Pose Sequences for Diverse Human Motion Prediction 19 Aug 2021 wei-mao-2019/gsps/train_nf.py 3671a5b389b22a4d unverified MIT (permissive)
Generating Smooth Pose Sequences for Diverse Human Motion Prediction 19 Aug 2021 wei-mao-2019/gsps/motion_pred/exp_vae.py ccc1706401922db7 unverified MIT (permissive)
FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning 29 Apr 2021 juellsprott/graphair-reproducibility/models/fairgraph/method/fairadj/optimizer.py cf61291f93016fe4 unverified MIT (permissive)
Wireframe-Based UI Design Search Through Image Autoencoder 2021-03 (from id) chenjshnn/WAE/code/Model_AE2.py d9f4e3003bec0bfe ran · honoured contract fingerprinted Apache-2.0 (permissive)
Program Synthesis Guided Reinforcement Learning for Partially Observed Environments 22 Feb 2021 yycdavid/program-synthesis-guided-rl/train_cvae.py 0ba8b6945b3ef257 ran · fixture could not drive it MIT (permissive)
Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator 9 Oct 2020 identical code first harvested elsewhere 2482f03ac1b8b9bb ran · fixture could not drive it licence of this copy not recorded
Music FaderNets: Controllable Music Generation Based On High-Level Features via Low-Level Feature Modelling 29 Jul 2020 gudgud96/music-fader-nets/trainer.py d8c64bc8ad7303cd unverified no licence file found · pointer only
Bootstrap your own latent: A new approach to self-supervised Learning 13 Jun 2020 HibikiJie/BYOL/utiles/loss_function.py d1695fe8fcdca12a ran · honoured contract fingerprinted no licence file found · pointer only
Bootstrap your own latent: A new approach to self-supervised Learning 13 Jun 2020 jramapuram/BYOL/objective.py 5c93a9f666df290c ran · our draft was wrong fingerprinted MIT (permissive)
DLow: Diversifying Latent Flows for Diverse Human Motion Prediction 18 Mar 2020 Khrylx/DLow/motion_pred/exp_dlow.py 6ea34e9827e7ac44 unverified licence not identified · pointer only
Iterative energy-based projection on a normal data manifold for anomaly localization 10 Feb 2020 ForrestPi/anomalyLocalization/network.py d25dc976c772c210 unverified MIT (permissive)
Towards Visually Explaining Variational Autoencoders 18 Nov 2019 FrankBrongers/Reproducing_expVAE/Anomaly_Detection/code/train_expVAE.py 3a224fbb51218efd ran · fixture could not drive it no licence file found · pointer only
Towards Visually Explaining Variational Autoencoders 18 Nov 2019 liuem607/expVAE/code/train_expVAE.py fdce273101e4d6be ran · fixture could not drive it no licence file found · pointer only
Wasserstein-2 Generative Networks 28 Sep 2019 lit-leo/inner-convex-nn/vae/vanila_vae.py 151aee3ffaced99a ran · our draft was wrong MIT (permissive)
RWR-GAE: Random Walk Regularization for Graph Auto Encoders 12 Aug 2019 MysteryVaibhav/DW-GAE/gae/optimizer.py 59a02f929e372616 unverified MIT (permissive)
Unsupervised Anomaly Localization using Variational Auto-Encoders 4 Jul 2019 MIC-DKFZ/vae-anomaly-experiments/mnist_script.py ce428265544f69c2 ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
vGraph: A Generative Model for Joint Community Detection and Node Representation Learning 18 Jun 2019 sunfanyunn/vgraph/nonoverlapping-community-detection.py 354159202439c55a ran · honoured contract no licence file found · pointer only
Unifying and Merging Well-trained Deep Neural Networks for Inference Stage 14 May 2018 ivclab/NeuralMerger/Fine-tuning/loss.py 3d76bb4c9a231576 unverified MIT (permissive)
World Models 27 Mar 2018 ctallec/world-models/trainvae.py 46304a89b6b8c121 ran · our draft was wrong fingerprinted MIT (permissive)
On First-Order Meta-Learning Algorithms 8 Mar 2018 hfahrudin/reptile_implement_tf2/Reptile.py 97d6ee1a0025a4d4 unverified MIT (permissive)
Variational Autoencoders for Collaborative Filtering 16 Feb 2018 younggyoseo/vae-cf-pytorch/models.py 615c1c088d110d1a ran · our draft was wrong fingerprinted no licence file found · pointer only
DeepChess: End-to-End Deep Neural Network for Automatic Learning in Chess 27 Nov 2017 dangeng/DeepChess/models/siamese.py 2d996185651c67fb ran · fixture could not drive it no licence file found · pointer only
DeepChess: End-to-End Deep Neural Network for Automatic Learning in Chess 27 Nov 2017 dangeng/DeepChess/train_siamese.py cfadd9215bc9b156 ran · fixture could not drive it no licence file found · pointer only
The Reversible Residual Network: Backpropagation Without Storing Activations 14 Jul 2017 gigantenbein/ReVAE/model.py 87522c59fd90aded ran · fixture could not drive it MIT (permissive)
YOLO9000: Better, Faster, Stronger 25 Dec 2016 preste-ai/camera_ai_whiteboard/yolo_train.py a1ceaadc2f636a2a unverified MIT (permissive)
Variational Graph Auto-Encoders 21 Nov 2016 zfjsail/gae-pytorch/gae/optimizer.py cf61291f93016fe4 unverified MIT (permissive)
Deep Feature Consistent Variational Autoencoder 2 Oct 2016 peria1/VAEconvMNIST/src/vanilla_vae.py 310bb444965578fb ran · our draft was wrong no licence file found · pointer only
Deep Feature Consistent Variational Autoencoder 2 Oct 2016 bhpfelix/Variational-Autoencoder-PyTorch/src/vanila_vae.py 151aee3ffaced99a ran · our draft was wrong no licence file found · pointer only
Autoencoding beyond pixels using a learned similarity metric 31 Dec 2015 pravn/vaegan/modules_tied.py 5c76b12c6eb7b27e ran · our draft was wrong fingerprinted no licence file found · pointer only
FaceNet: A Unified Embedding for Face Recognition and Clustering 12 Mar 2015 Abdelhamid-bouzid/Deep-metric-learning/Triplet/loss_function.py 30d037777ebf6516 unverified no licence file found · pointer only
MADE: Masked Autoencoder for Distribution Estimation 12 Feb 2015 ANLGBOY/MADE-with-PyTorch/made.py 0fe5b1dc810c9785 ran · fixture could not drive it no licence file found · pointer only
Generative Adversarial Networks 10 Jun 2014 BYOGan/BYOGan/byogan-api/loss.py 3f652acf2c0714dc unverified MIT (permissive)
Auto-Encoding Variational Bayes 20 Dec 2013 wgopar/VariationalAutoencoder/vae.py 619f809e220bdfad ran · our draft was wrong no licence file found · pointer only
Auto-Encoding Variational Bayes 20 Dec 2013 podgorskiy/VAE/VAE.py 5e86bd50f762f937 ran · our draft was wrong fingerprinted no licence file found · pointer only
arXiv:aaai_21180 yuanmu97/MLink/mlink/seq_to_seq.py 231073787cd0a5e2 unverified MIT (permissive)
arXiv:Liu_Detecting_Out-of-Distribution_Through_the_Lens_of_Neural_Collapse_CVPR_2025_paper litianliu/NCI-OOD/openood/losses/rd4ad_loss.py 4c1d0e3674921db5 unverified MIT (permissive)
arXiv:136820244 Sirui-Xu/STARS/diverse/train_nf.py 3671a5b389b22a4d 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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