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kaiming_init

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

kaiming_init appears in the code Syntology harvested for 9 papers, as 9 distinct code bodies found in 9 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 kaiming_init 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 9 distinct code bodies named kaiming_init; 9 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
9unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 3 of the 9 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

9 papers shown of 9, newest first; 9 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. 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
Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning 5 Jun 2024 iwhwang/Fine-Grained-Causal-RL/fcdl/model/inference_ours_base.py 9ffd4319295052f4 unverified MIT (permissive)
C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder 26 Oct 2023 xliu1231/causal_disentangle/causalvae.py eff5a7e656a0ee07 unverified no licence file found · pointer only
Latent Processes Identification From Multi-View Time Series 14 May 2023 lccurious/MuLTI/multi/models/multi.py d57904eb3d1890be unverified no licence file found · pointer only
Temporally Disentangled Representation Learning 24 Oct 2022 weirayao/tdrl/LiLY/modules/modular.py a18c3595f7425f34 unverified MIT (permissive)
A Keypoint-based Global Association Network for Lane Detection 15 Apr 2022 zkyntu/UnLanedet/unlanedet/model/GANet/head.py 94b6a7396eb44132 unverified Apache-2.0 (permissive)
Projected GANs Converge Faster 1 Nov 2021 dome272/ProjectedGAN-pytorch/projected_gan.py b1c1a8a6e7a54d45 unverified MIT (permissive)
Video Instance Segmentation with a Propose-Reduce Paradigm 25 Mar 2021 dvlab-research/proposereduce/mmdet/models/prop_heads/seq_prop_head.py ea08e84fefac65ab unverified no licence file found · pointer only
Disentangling by Factorising 16 Feb 2018 Guiliang/FactorVAE/model.py f55d759c3d225e46 unverified MIT (permissive)
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs 2 Jun 2016 Media-Smart/vedaseg/vedaseg/models/encoders/enhance_modules/aspp.py 17876e40add6c703 unverified Apache-2.0 (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