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knn_classifier

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

knn_classifier appears in the code Syntology harvested for 16 papers, as 11 distinct code bodies found in 16 places (a place is one code body under one paper). At least one of them ran in 1 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 knn_classifier 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 1 of the 11 distinct code bodies named knn_classifier; 10 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
1ran
10unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 2 of the 16 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

16 papers shown of 16, newest first; 16 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; 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
Enabling Progressive Whole-slide Image Analysis with Multi-scale Pyramidal Network added by Syntology 2026-02 (from id) mahmoodlab/HIPT/1-Hierarchical-Pretraining/eval_knn.py 6ecb6791e6a9ebfb unverified no licence file found · pointer only
SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification 7 Oct 2024 jimmyxu123/SELECT/ssl/eval_knn.py 6ecb6791e6a9ebfb unverified MIT (permissive)
SUMix: Mixup with Semantic and Uncertain Information 10 Jul 2024 jinxins/sumix/benchmarks/classification/knn_imagenet/knn_classifier.py 0a0d8afa0c9cf088 unverified MIT (permissive)
Towards a Mechanistic Interpretation of Multi-Step Reasoning Capabilities of Language Models 23 Oct 2023 yifan-h/mechanisticprobe/src/stask/probe.py 5b2bb4a3ea7d3329 unverified MIT (permissive)
MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments 18 Jul 2023 valeoai/moca/util/knn_utils.py d5a2c7c5c6f12965 ran licence not identified · pointer only
Hard Patches Mining for Masked Image Modeling 12 Apr 2023 haochen-wang409/hpm/main_knn.py ab5c235c1a0730f0 unverified Apache-2.0 (permissive)
Extending global-local view alignment for self-supervised learning with remote sensing imagery 12 Mar 2023 wennyxy/dino-mc/eval_knn.py 661c1e5b701aeb47 unverified MIT (permissive)
Effective Self-supervised Pre-training on Low-compute Networks without Distillation 6 Oct 2022 saic-fi/SSLight/src/sslight/utils/eval_utils.py 8e979b60e24a0c37 unverified Apache-2.0 (permissive)
HCSC: Hierarchical Contrastive Selective Coding 1 Feb 2022 hirl-team/hcsc/eval_knn.py 661c1e5b701aeb47 unverified MIT (permissive)
Self-supervised Video Transformer 2 Dec 2021 kahnchana/svt/eval_knn.py a26de22d91425cc2 unverified MIT (permissive)
iBOT: Image BERT Pre-Training with Online Tokenizer 15 Nov 2021 bytedance/ibot/evaluation/eval_knn.py 14b1b82d605701ac unverified Apache-2.0 (permissive)
PatchGame: Learning to Signal Mid-level Patches in Referential Games 2 Nov 2021 kampta/PatchGame/eval_knn.py ca39b9c099892e7f unverified Apache-2.0 (permissive)
PASS: An ImageNet replacement for self-supervised pretraining without humans 27 Sep 2021 facebookresearch/dino/eval_knn.py 6ecb6791e6a9ebfb unverified Apache-2.0 (permissive)
XCiT: Cross-Covariance Image Transformers 17 Jun 2021 adrienangeli/dino/eval_knn.py 6ecb6791e6a9ebfb unverified Apache-2.0 (permissive)
Emerging Properties in Self-Supervised Vision Transformers 29 Apr 2021 alijavidani/local_global_representation_learning/eval_knn.py 6ecb6791e6a9ebfb unverified Apache-2.0 (permissive)
arXiv:aaai_28296 skyoux/SemAIM/main_knn.py c6c75fb0694b5e82 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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