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kl_loss

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

kl_loss appears in the code Syntology harvested for 37 papers, as 31 distinct code bodies found in 38 places (a place is one code body under one paper). At least one of them ran in 21 of the papers; 12 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 kl_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 17 of the 31 distinct code bodies named kl_loss; 14 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

2ran · honoured contract
0ran · violated contract
4ran · our draft was wrong
4ran · fixture could not drive it
7ran
14unverified
12fingerprinted

Licence is a property of each copy, so it is counted per place: 15 of the 38 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

37 papers shown of 37, newest first; 38 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
Orthogonal Representation Editing: Decoupling Semantic Entanglement in Batch Knowledge Editing of LLMs added by Syntology 2026-06 (from id) YVVH/ORE/ORE/ORE_main.py 8959db6923feedce ran · fixture could not drive it fingerprinted MIT (permissive)
GenTS: A Comprehensive Benchmark Library for Generative Time Series Models added by Syntology 2026-05 (from id) WillWang1113/GenTS/gents/common/_losses.py 1cb058c996e65e63 ran · our draft was wrong fingerprinted MIT (permissive)
Crowded Video Individual Counting Informed by Social Grouping and Spatial-Temporal Displacement Priors added by Syntology 2026-01 (from id) tiny-smart/OMAN/models/extra_loss.py 2729a1dad2349aa9 unverified MIT (permissive)
Invariance Makes LLM Unlearning Resilient Even to Unanticipated Downstream Fine-Tuning 2 Jun 2025 OPTML-Group/Unlearn-ILU/src/unlearn/KL.py 30e138b18347fbb4 unverified MIT (permissive)
Dealing with Synthetic Data Contamination in Online Continual Learning 21 Nov 2024 maorong-wang/esrm/src/learners/baseline/ours.py 05c4011b1c6139b1 ran · our draft was wrong fingerprinted no licence file found · pointer only
FactorizePhys: Matrix Factorization for Multidimensional Attention in Remote Physiological Sensing 3 Nov 2024 PhysiologicAILab/FactorizePhys/neural_methods/loss/PhysFormerLossComputer.py 6cb9bbf8e6dc7799 unverified licence not identified · pointer only
EZ-HOI: VLM Adaptation via Guided Prompt Learning for Zero-Shot HOI Detection 31 Oct 2024 ChelsieLei/EZ-HOI/upt_tip_cache_model_free_finetune_distillself.py 5fbc04fbcf4eece3 unverified no licence file found · pointer only
SHINE: Saliency-aware HIerarchical NEgative Ranking for Compositional Temporal Grounding 6 Jul 2024 zxccade/SHINE/shine/ctf_ranking.py db2249562e0e9af0 ran licence not identified · pointer only
Manifold Integrated Gradients: Riemannian Geometry for Feature Attribution 16 May 2024 eszaher/manifold-integrated-gradients/core/utils.py ed5e5f38542f6bf5 ran fingerprinted Apache-2.0 (permissive)
KP-RED: Exploiting Semantic Keypoints for Joint 3D Shape Retrieval and Deformation 15 Mar 2024 lolrudy/KP-RED/modules/functional/loss.py ac428c28090c22b2 ran fingerprinted Apache-2.0 (permissive)
EfficientZero V2: Mastering Discrete and Continuous Control with Limited Data 1 Mar 2024 shengjiewang-jason/efficientzerov2/ez/utils/loss.py 3d920a2bfcc14500 ran fingerprinted GPL-3.0 (copyleft) · pointer only
Efficient Heterogeneous Graph Learning via Random Projection 23 Oct 2023 CrawlScript/RpHGNN/rphgnn/losses.py e3c137a431a3a8d8 ran fingerprinted GPL-3.0 (copyleft) · pointer only
Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs 4 Oct 2023 azencot-group/kovae/models/kovae.py 1cb058c996e65e63 ran · our draft was wrong fingerprinted no licence file found · pointer only
Hierarchical Point-based Active Learning for Semi-supervised Point Cloud Semantic Segmentation 22 Aug 2023 SmiletoE/HPAL/Mink/base_agent.py 43ae0e4050bff4c0 ran fingerprinted no licence file found · pointer only
Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Detection 6 Aug 2023 xcyao00/fod/losses.py a2f6a358aed78f39 unverified MIT (permissive)
Multi-modal Learning with Missing Modality via Shared-Specific Feature Modelling 26 Jul 2023 cchen-cc/Robust-Mseg/losses.py db52c4f2bee05325 ran no licence file found · pointer only
Mitigating Accuracy-Robustness Trade-off via Balanced Multi-Teacher Adversarial Distillation 28 Jun 2023 identical code first harvested elsewhere 9960f247d801fa2a ran · our draft was wrong fingerprinted licence of this copy not recorded
Primitive Generation and Semantic-related Alignment for Universal Zero-Shot Segmentation 19 Jun 2023 heshuting555/PADing/PADing/PADing_model.py a9fda5c7471b911e unverified MIT (permissive)
Table and Image Generation for Investigating Knowledge of Entities in Pre-trained Vision and Language Models 3 Jun 2023 OFA-Sys/OFA/criterions/label_smoothed_encouraging_loss.py e7939f8552fd8729 unverified Apache-2.0 recorded; this copy not marked cleared · pointer only
BiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical Tasks 26 May 2023 taokz/biomedgpt/criterions/label_smoothed_encouraging_loss.py e7939f8552fd8729 unverified Apache-2.0 recorded; this copy not marked cleared · pointer only
Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection 8 Feb 2023 godxuxilie/efficient_acl_via_rcs/ACL_RCS/ImageNet_32/RCS.py 9b4fc11504440ef7 ran · our draft was wrong no licence file found · pointer only
Harnessing the Power of Multi-Task Pretraining for Ground-Truth Level Natural Language Explanations 8 Dec 2022 ofa-x/ofa-x/OFA/criterions/label_smoothed_encouraging_loss.py e7939f8552fd8729 unverified Apache-2.0 (permissive)
A Generative User Simulator with GPT-based Architecture and Goal State Tracking for Reinforced Multi-Domain Dialog Systems 17 Oct 2022 thu-spmi/gus/utils.py ec89dac0427706f5 unverified Apache-2.0 (permissive)
A Measure of the Complexity of Neural Representations based on Partial Information Decomposition 21 Sep 2022 priesemann-group/nninfo/nninfo/trainer.py 9212a8ced7784cdc unverified BSD-3-Clause (permissive)
Efficient One Pass Self-distillation with Zipf's Label Smoothing 26 Jul 2022 megvii-research/zipfls/pytorch_zipfls/losses.py 12febd0c96d3874c ran · fixture could not drive it Apache-2.0 (permissive)
Homomorphism Autoencoder -- Learning Group Structured Representations from Observed Transitions 25 Jul 2022 hamzakeurti/homomorphismvae/displacementae/networks/variational_utils.py 323342ee98882ccc unverified Apache-2.0 (permissive)
Improving VAE based molecular representations for compound property prediction 13 Jan 2022 znavoyan/vae-embeddings/chemical_vae/chemvae/train_vae.py adafd809fa1dd2eb unverified Apache-2.0 (permissive)
Towards Data-Free Domain Generalization 9 Oct 2021 HaokunChen245/DFDG/dfdg/training/train_student_syn_img.py 7ee01bf5efd50d92 ran · fixture could not drive it fingerprinted Apache-2.0 (permissive)
Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better 18 Aug 2021 zibojia/RSLAD/mobilenet_v2_rslad_cifar10.py 9960f247d801fa2a ran · our draft was wrong fingerprinted MIT (permissive)
Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better 18 Aug 2021 zibojia/RSLAD/mobilenet_v2_rslad_cifar100.py 722a1ed77a31bd72 unverified MIT (permissive)
High-Fidelity Synthesis with Disentangled Representation 13 Jan 2020 rosinality/id-gan-pytorch/train_vae.py 6a6e7e5aadc14e95 ran · honoured contract fingerprinted MIT (permissive)
SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization 8 Nov 2019 archinetai/smart-pytorch/smart_pytorch/loss.py 9f77e2bc0dc49ca0 ran · fixture could not drive it MIT (permissive)
Adversarially Robust Distillation 23 May 2019 identical code first harvested elsewhere 9960f247d801fa2a ran · our draft was wrong fingerprinted licence of this copy not recorded
Towards Deep Learning Models Resistant to Adversarial Attacks 19 Jun 2017 zibojia/rslad/mobilenet_v2_rslad_cifar10.py 9960f247d801fa2a ran · our draft was wrong fingerprinted MIT (permissive)
Automatic chemical design using a data-driven continuous representation of molecules 7 Oct 2016 aspuru-guzik-group/chemical_vae/chemvae/train_vae.py adafd809fa1dd2eb unverified Apache-2.0 (permissive)
Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data 20 May 2016 gregorsemmler/pytorch-dvbf/training.py 89c4776d4a9fbb8b ran · honoured contract fingerprinted no licence file found · pointer only
Stability Selection 2008-09 (from id) skggm/skggm/inverse_covariance/metrics.py 8f50eaddab929773 unverified MIT (permissive)
arXiv:Yu_PhysFormer_Facial_Video-Based_Physiological_Measurement_With_Temporal_Difference_Transformer_CVPR_2022_paper ZitongYu/PhysFormer/TorchLossComputer.py 634123b0682ce0c9 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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