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get_algorithm_class

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

get_algorithm_class appears in the code Syntology harvested for 42 papers, as 5 distinct code bodies found in 43 places (a place is one code body under one paper). At least one of them ran in 0 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 get_algorithm_class 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 0 of the 5 distinct code bodies named get_algorithm_class; 5 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

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

Licence is a property of each copy, so it is counted per place: 21 of the 43 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

42 papers shown of 42, newest first; 43 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; 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
SWORDBENCH: Evaluating Orthogonality of Steering Image Representations added by Syntology 2026-05 (from id) Weixin-Liang/MetaShift/experiments/distribution_shift/algorithms.py b0bc80b1655a6802 unverified MIT (permissive)
Coopetition-Gym v1: A Formally Grounded Platform for Mixed-Motive Multi-Agent Reinforcement Learning under Strategic Coopetition added by Syntology 2026-05 (from id) vikpant/strategic-coopetition/coopetition_gym/experiments/algorithms.py 8d43b87e1759e8d1 unverified licence not identified · pointer only
Coopetition-Gym v1: A Formally Grounded Platform for Mixed-Motive Multi-Agent Reinforcement Learning under Strategic Coopetition added by Syntology 2026-05 (from id) vikpant/strategic-coopetition/coopetition_gym/experiments/campaign.py f7496be9dade6f6e unverified licence not identified · pointer only
OT-VP: Optimal Transport-guided Visual Prompting for Test-Time Adaptation 12 Jun 2024 zybeich/ot-vp/domainbed/adapt_algorithms.py b0bc80b1655a6802 unverified MIT (permissive)
Causally Inspired Regularization Enables Domain General Representations 25 Apr 2024 olawalesalaudeen/tcri/DomainBed/domainbed/algorithms.py b0bc80b1655a6802 unverified MIT (permissive)
Learning Conditional Invariances through Non-Commutativity 18 Feb 2024 identical code first harvested elsewhere b0bc80b1655a6802 unverified licence of this copy not recorded
Understanding Domain Generalization: A Noise Robustness Perspective 26 Jan 2024 qiaoruiyt/NoiseRobustDG/domainbed/algorithms.py b0bc80b1655a6802 unverified MIT (permissive)
Unlocking Emergent Modularity in Large Language Models 17 Oct 2023 qiuzh20/emoe/Vision/domainbed/algorithms.py b0bc80b1655a6802 unverified MIT (permissive)
Invariant Learning via Probability of Sufficient and Necessary Causes 22 Sep 2023 ymy4323460/casn/domainbed/algorithms.py b0bc80b1655a6802 unverified no licence file found · pointer only
Frequency-Aware Masked Autoencoders for Multimodal Pretraining on Biosignals 12 Sep 2023 identical code first harvested elsewhere b0bc80b1655a6802 unverified licence of this copy not recorded
Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs 11 Sep 2023 intel/auto-round/auto_round/algorithms/config_resolver.py 8dc37cb8349ffb98 unverified Apache-2.0 (permissive)
When More is Less: Incorporating Additional Datasets Can Hurt Performance By Introducing Spurious Correlations 8 Aug 2023 basedrhys/ood-generalization/clinicaldg/algorithms.py b0bc80b1655a6802 unverified no licence file found · pointer only
Cross Contrasting Feature Perturbation for Domain Generalization 24 Jul 2023 hackmebroo/ccfp/algorithms.py b0bc80b1655a6802 unverified no licence file found · pointer only
An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration 17 Jul 2023 hiroki11x/timm_ood_calibration/domainbed/algorithms.py b0bc80b1655a6802 unverified Apache-2.0 (permissive)
Source-Free Domain Adaptation with Temporal Imputation for Time Series Data 14 Jul 2023 mohamedr002/mapu_sfda_ts/algorithms/algorithms.py b0bc80b1655a6802 unverified MIT (permissive)
Distribution Shift Inversion for Out-of-Distribution Prediction 14 Jun 2023 yu-rp/distribution-shift-iverson/DSI/Predictor/domainbed_part/algorithms.py b0bc80b1655a6802 unverified Apache-2.0 (permissive)
Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation 2 May 2023 xpitfire/iwa/algorithms/algorithms.py b0bc80b1655a6802 unverified MIT (permissive)
PGrad: Learning Principal Gradients For Domain Generalization 2 May 2023 qdata/pgrad/domainbed/algorithms.py b0bc80b1655a6802 unverified MIT (permissive)
TFS-ViT: Token-Level Feature Stylization for Domain Generalization 28 Mar 2023 mehrdad-noori/tfs-vit_token-level_feature_stylization/domainbed/algorithms.py b0bc80b1655a6802 unverified MIT (permissive)
FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning 27 Feb 2023 microsoft/personalizedfl/alg/algs.py b0bc80b1655a6802 unverified MIT (permissive)
Change is Hard: A Closer Look at Subpopulation Shift 23 Feb 2023 identical code first harvested elsewhere b0bc80b1655a6802 unverified licence of this copy not recorded
Domain Adaptation for Time Series Under Feature and Label Shifts 6 Feb 2023 mims-harvard/Raincoat/algorithms/algorithms.py b0bc80b1655a6802 unverified MIT (permissive)
Free Lunch for Domain Adversarial Training: Environment Label Smoothing 1 Feb 2023 identical code first harvested elsewhere b0bc80b1655a6802 unverified licence of this copy not recorded
Contrastive Domain Adaptation for Time-Series via Temporal Mixup 3 Dec 2022 identical code first harvested elsewhere b0bc80b1655a6802 unverified licence of this copy not recorded
Empirical Study on Optimizer Selection for Out-of-Distribution Generalization 15 Nov 2022 hiroki11x/optimizer_comparison_ood/domainbed/algorithms.py b0bc80b1655a6802 unverified Apache-2.0 (permissive)
Improving Out-of-Distribution Generalization by Adversarial Training with Structured Priors 13 Oct 2022 identical code first harvested elsewhere b0bc80b1655a6802 unverified licence of this copy not recorded
Prompt Vision Transformer for Domain Generalization 18 Aug 2022 zhengzangw/DoPrompt/domainbed/algorithms.py b0bc80b1655a6802 unverified MIT (permissive)
Test-Time Adaptation via Self-Training with Nearest Neighbor Information 8 Jul 2022 mingukjang/tast/domainbed/adapt_algorithms.py b0bc80b1655a6802 unverified MIT recorded; this copy not marked cleared · pointer only
Causal Balancing for Domain Generalization 10 Jun 2022 identical code first harvested elsewhere b0bc80b1655a6802 unverified licence of this copy not recorded
Sparse Mixture-of-Experts are Domain Generalizable Learners 8 Jun 2022 luodian/sf-moe-dg/domainbed/algorithms.py b0bc80b1655a6802 unverified MIT recorded; this copy not marked cleared · pointer only
The Missing Invariance Principle Found -- the Reciprocal Twin of Invariant Risk Minimization 29 May 2022 identical code first harvested elsewhere b0bc80b1655a6802 unverified licence of this copy not recorded
FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction 26 May 2022 lins-lab/fedbr/fedbr/algorithms.py b0bc80b1655a6802 unverified Apache-2.0 (permissive)
Diverse Weight Averaging for Out-of-Distribution Generalization 19 May 2022 alexrame/diwa/domainbed/algorithms.py b0bc80b1655a6802 unverified Apache-2.0 (permissive)
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data 15 Mar 2022 identical code first harvested elsewhere b0bc80b1655a6802 unverified licence of this copy not recorded
Domain Prompt Learning for Efficiently Adapting CLIP to Unseen Domains 25 Nov 2021 shogi880/DPLCLIP/domainbed/adapt_algorithms.py b0bc80b1655a6802 unverified MIT recorded; this copy not marked cleared · pointer only
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization 11 Jun 2021 identical code first harvested elsewhere b0bc80b1655a6802 unverified licence of this copy not recorded
Quantifying and Improving Transferability in Domain Generalization 7 Jun 2021 facebookresearch/domainbed/domainbed/algorithms.py b0bc80b1655a6802 unverified MIT (permissive)
SAND-mask: An Enhanced Gradient Masking Strategy for the Discovery of Invariances in Domain Generalization 4 Jun 2021 shahtalebi/SAND-mask/domainbed/algorithms.py b0bc80b1655a6802 unverified MIT recorded; this copy not marked cleared · pointer only
SelfReg: Self-supervised Contrastive Regularization for Domain Generalization 20 Apr 2021 dnap512/SelfReg/domainbed_code/algorithms.py b0bc80b1655a6802 unverified MIT (permissive)
Adaptive Risk Minimization: Learning to Adapt to Domain Shift 6 Jul 2020 identical code first harvested elsewhere b0bc80b1655a6802 unverified licence of this copy not recorded
In Search of Lost Domain Generalization 2 Jul 2020 identical code first harvested elsewhere b0bc80b1655a6802 unverified licence of this copy not recorded
Invariant Risk Minimization 5 Jul 2019 katoro8989/irm_variants_calibration/domainbed/algorithms.py b0bc80b1655a6802 unverified Apache-2.0 (permissive)
arXiv:aaai_28994 Alrash/EDM/src/DeepDG/alg/alg.py 2676a45c41ebada6 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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