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Entropy

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

Entropy appears in the code Syntology harvested for 31 papers, as 18 distinct code bodies found in 33 places (a place is one code body under one paper). At least one of them ran in 24 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 Entropy 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 10 of the 18 distinct code bodies named Entropy; 8 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

3ran · honoured contract
0ran · violated contract
4ran · our draft was wrong
1ran · fixture could not drive it
2ran
8unverified
9fingerprinted

Licence is a property of each copy, so it is counted per place: 11 of the 33 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

31 papers shown of 31, newest first; 33 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 2 papers added by Syntology; 2 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
LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation added by Syntology 2026-07 (from id) identical code first harvested elsewhere 94b5622f0aa7add1 ran · our draft was wrong fingerprinted licence of this copy not recorded
MU-SHOT-Fi: Self-Supervised Multi-User Wi-Fi Sensing with Source-free Unsupervised Domain Adaptation added by Syntology 2026-05 (from id) AhmedRadwan02/mu-shot-fi/WiDAR/SHOT/loss.py 866722884763b224 ran · honoured contract fingerprinted no licence file found · pointer only
arXiv:2503.14564 2025-03 (from id) flash1803/EATTA/classification/methods/eatta.py 9e77fe01c3502ba4 ran fingerprinted MIT (permissive)
What Has Been Overlooked in Contrastive Source-Free Domain Adaptation: Leveraging Source-Informed Latent Augmentation within Neighborhood Context 18 Dec 2024 jingwang18/silan/adaptation_office.py a29c88002bbdc7f5 ran · our draft was wrong fingerprinted no licence file found · pointer only
Rethinking Guidance Information to Utilize Unlabeled Samples:A Label Encoding Perspective 5 Jun 2024 zhangyl660/LERM/UDA/DA/CDAN-LERM/loss.py 94b5622f0aa7add1 ran · our draft was wrong fingerprinted no licence file found · pointer only
LEAD: Learning Decomposition for Source-free Universal Domain Adaptation 6 Mar 2024 ispc-lab/glc/utils/net_utils.py 94b5622f0aa7add1 ran · our draft was wrong fingerprinted no licence file found · pointer only
Enhancing Information Maximization with Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot Learning 4 Mar 2024 xuhuali-mxj/im-dcl/adapt_da.py e9f124f4e6ac515e ran · honoured contract fingerprinted no licence file found · pointer only
On $f$-Divergence Principled Domain Adaptation: An Improved Framework 2 Feb 2024 thuml/CDAN/pytorch/loss.py 94b5622f0aa7add1 ran · our draft was wrong fingerprinted no licence file found · pointer only
Machine Unlearning in Learned Databases: An Experimental Analysis 2023-11 (from id) meghdadk/db_unlearning/naru/train_model.py b6c3c093da58e8e3 ran · fixture could not drive it Apache-2.0 (permissive)
SPA: A Graph Spectral Alignment Perspective for Domain Adaptation 26 Oct 2023 CrownX/SPA/code/loss.py 300ab0eab2ed7c3e ran fingerprinted no licence file found · pointer only
Reliable Gradient-free and Likelihood-free Prompt Tuning 30 Apr 2023 maohaos2/SBI_LLM/utils.py 1e1c05bc5a2f0504 unverified MIT (permissive)
Fixing Overconfidence in Dynamic Neural Networks 13 Feb 2023 aaltoml/calibrated-dnn/adaptive_inference.py 045fc85256f7d946 unverified MIT (permissive)
Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data 11 Oct 2022 meghdadk/DDUp/Naru/DMV/eval_model.py b6c3c093da58e8e3 ran · fixture could not drive it Apache-2.0 (permissive)
Entropy-driven Unsupervised Keypoint Representation Learning in Videos 30 Sep 2022 irosa-lab/mint/src/mint/entropy_layer/entropy.py d62ce5e00f9ef4c4 unverified Apache-2.0 (permissive)
Uncertainty-guided Source-free Domain Adaptation 16 Aug 2022 roysubhankar/uncertainty-sfda/cifar/loss.py f3ce545fc143fc83 unverified MIT (permissive)
Uncertainty-guided Source-free Domain Adaptation 16 Aug 2022 roysubhankar/uncertainty-sfda/toy_classification/multiclass_shot.py 618b4bb0ee3cb5eb unverified MIT (permissive)
Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation 27 Jul 2022 albert0147/sfda_neighbors/train_src.py 94b5622f0aa7add1 ran · our draft was wrong fingerprinted MIT (permissive)
Prior Knowledge Guided Unsupervised Domain Adaptation 18 Jul 2022 tsun/KUDA/DINE/loss.py 94b5622f0aa7add1 ran · our draft was wrong fingerprinted MIT (permissive)
Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation 9 May 2022 albert0147/aad_sfda/tar_adaptation.py 94b5622f0aa7add1 ran · our draft was wrong fingerprinted no licence file found · pointer only
Source-Free Progressive Graph Learning for Open-Set Domain Adaptation 13 Feb 2022 luoyadan/sf-pgl/utils/loss.py 94b5622f0aa7add1 ran · our draft was wrong fingerprinted MIT (permissive)
On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain Adaptation 1 Feb 2022 maohaos2/MSFDA/loss.py 94b5622f0aa7add1 ran · our draft was wrong fingerprinted MIT (permissive)
Source Free Unsupervised Graph Domain Adaptation 2 Dec 2021 haitaomao/soga/codes/model/model_utilies.py 5a57a71c4462a38e unverified MIT (permissive)
Nearest Neighborhood-Based Deep Clustering for Source Data-absent Unsupervised Domain Adaptation 27 Jul 2021 tntek/N2DCX/object/loss.py 94b5622f0aa7add1 ran · our draft was wrong fingerprinted MIT (permissive)
Transporting Causal Mechanisms for Unsupervised Domain Adaptation 23 Jul 2021 yue-zhongqi/tcm/dda_model/dda_model.py a4fb3d7d83bd280c ran · our draft was wrong fingerprinted no licence file found · pointer only
DINE: Domain Adaptation from Single and Multiple Black-box Predictors 4 Apr 2021 tim-learn/Dis-tune/loss.py 94b5622f0aa7add1 ran · our draft was wrong fingerprinted MIT (permissive)
DINE: Domain Adaptation from Single and Multiple Black-box Predictors 4 Apr 2021 tim-learn/SHOT/digit/loss.py 866722884763b224 ran · honoured contract fingerprinted MIT (permissive)
Curriculum Graph Co-Teaching for Multi-Target Domain Adaptation 1 Apr 2021 Evgeneus/Graph-Domain-Adaptaion/src/trainer.py ab338e78525a1a07 ran · our draft was wrong fingerprinted no licence file found · pointer only
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer 14 Dec 2020 tim-learn/SHOT-plus/code/digit/uda_digit.py 866722884763b224 ran · honoured contract fingerprinted MIT (permissive)
Renormalized Mutual Information for Artificial Scientific Discovery 4 May 2020 lsarra/rmi/rmi/estimation.py cc92bdd970182d6c unverified MIT (permissive)
Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations 27 Mar 2020 cuishuhao/BNM/UODR/train_loader.py 54f9f530b53b6db0 ran · honoured contract fingerprinted MIT (permissive)
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation 5 Mar 2020 tim-learn/BA3US/my_loss.py 792f32c0291a5af7 unverified MIT (permissive)
MADE: Masked Autoencoder for Distribution Estimation 12 Feb 2015 naru-project/naru/train_model.py b6c3c093da58e8e3 ran · fixture could not drive it Apache-2.0 (permissive)
arXiv:Liang_DINE_Domain_Adaptation_From_Single_and_Multiple_Black-Box_Predictors_CVPR_2022_paper tim-learn/DINE/loss.py 94b5622f0aa7add1 ran · our draft was wrong fingerprinted 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".

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections