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get_train_loader

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

get_train_loader appears in the code Syntology harvested for 12 papers, as 12 distinct code bodies found in 13 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_train_loader 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 12 distinct code bodies named get_train_loader; 12 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
12unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 2 of the 13 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

12 papers shown of 12, newest first; 13 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; 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
Implicit Location-Caption Alignment via Complementary Masking for Weakly-Supervised Dense Video Captioning 17 Dec 2024 ShipingGe/ILCACM/src/util/dataloader.py 602593121cc1851f unverified MIT (permissive)
Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training 21 Jun 2023 alooow/fantastic_weights_paper/imagenet_main.py 04b0a36942f99acf unverified MIT (permissive)
Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching 27 Mar 2023 gitgyun/visual_token_matching/dataset/dataloader_factory.py a11b29bac73f5967 unverified MIT (permissive)
FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue 12 May 2022 alon-albalak/tlidb/tlidb/TLiDB/data_loaders/data_loaders.py ed08ccd15847eb99 unverified MIT (permissive)
SimReg: Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation 13 Jan 2022 ucdvision/simreg/dataloader.py 7f32e37ef9afef4a unverified MIT (permissive)
A Simple Baseline for Low-Budget Active Learning 22 Oct 2021 ucdvision/low-budget-al/finetune.py 2d99dc82b2c56aad unverified MIT (permissive)
A Simple Baseline for Low-Budget Active Learning 22 Oct 2021 ucdvision/low-budget-al/active_sampler.py 10b4a8cb35b97aaa unverified MIT (permissive)
Zero-Shot Knowledge Distillation from a Decision-Based Black-Box Model 7 Jun 2021 zwang84/zsdb3kd/get_soft_labels.py a5817c4ad22df324 unverified no licence file found · pointer only
Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision 2 Jun 2021 harshm121/m3l/src/semi_supervised/cps.py 74ffeedbf2acc130 unverified no licence file found · pointer only
Beyond Categorical Label Representations for Image Classification 6 Apr 2021 BoyuanChen/label_representations/cifar.py 48a09f848ac92a77 unverified MIT (permissive)
Learned Image Compression with Discretized Gaussian Mixture Likelihoods and Attention Modules 6 Jan 2020 LiuLei95/PyTorch-Learned-Image-Compression-with-GMM-and-Attention/datasets.py 4e3ec336e202299e unverified Apache-2.0 (permissive)
End-to-end Optimized Image Compression 5 Nov 2016 liujiaheng/iclr_17_compression/datasets.py 4e3ec336e202299e unverified MIT (permissive)
arXiv:Park_LANIT_Language-Driven_Image-to-Image_Translation_for_Unlabeled_Data_CVPR_2023_paper KU-CVLAB/LANIT/core/data_loader.py 5588c411eb2736b5 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".

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