Home › Code › info_nce_logits

info_nce_logits

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

info_nce_logits appears in the code Syntology harvested for 15 papers, as 9 distinct code bodies found in 15 places (a place is one code body under one paper). At least one of them ran in 9 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 info_nce_logits 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 4 of the 9 distinct code bodies named info_nce_logits; 5 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
2ran · our draft was wrong
0ran · fixture could not drive it
2ran
5unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 2 of the 15 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

15 papers shown of 15, newest first; 15 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; 3 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
Open Ad-hoc Categorization with Contextualized Feature Learning added by Syntology 2025-12 (from id) Wayne2Wang/OAK/src/engine/losses.py 57fdc34a54514350 unverified MIT (permissive)
ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery 2 Apr 2025 mashijie1028/protogcd/models/loss.py b3c2e94d4887d26b ran · our draft was wrong MIT (permissive)
Happy: A Debiased Learning Framework for Continual Generalized Category Discovery 9 Oct 2024 mashijie1028/Happy-CGCD/models/utils_gcd.py b3c2e94d4887d26b ran · our draft was wrong MIT (permissive)
SelEx: Self-Expertise in Fine-Grained Generalized Category Discovery 26 Aug 2024 sarahrastegar/selex/methods/contrastive_training/contrastive_training.py 40f5a2f8b0143f94 unverified MIT (permissive)
Unlocking the Multi-modal Potential of CLIP for Generalized Category Discovery 15 Mar 2024 enguangw/get/model.py b3c2e94d4887d26b ran · our draft was wrong MIT (permissive)
Learn to Categorize or Categorize to Learn? Self-Coding for Generalized Category Discovery 30 Oct 2023 SarahRastegar/InfoSieve/methods/contrastive_training/contrastive_training.py 85ee1355feee1220 unverified MIT (permissive)
Towards Distribution-Agnostic Generalized Category Discovery 2 Oct 2023 jianhongbai/bacon/model/bacon.py dc61c49b216cea13 ran · our draft was wrong MIT (permissive)
Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery 23 Aug 2023 grypesc/camp/utils/losses.py c2cb4004f0d0ce2a ran no licence file found · pointer only
MetaGCD: Learning to Continually Learn in Generalized Category Discovery 21 Aug 2023 ynanwu/metagcd/models/utils.py 8334bb1bcb28d820 ran no licence file found · pointer only
Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery 10 May 2023 DTennant/GPC/project_utils/loss_utils.py 261eee9d69c08e44 unverified MIT (permissive)
Parametric Classification for Generalized Category Discovery: A Baseline Study 21 Nov 2022 cvmi-lab/simgcd/model.py b3c2e94d4887d26b ran · our draft was wrong MIT (permissive)
Generalized Category Discovery 7 Jan 2022 sgvaze/generalized-category-discovery/methods/contrastive_training/contrastive_training.py 77f9f4c0ee87724e unverified MIT (permissive)
arXiv:openreview_YA3AvVx2Ze lytang63/CoGe-GCD/methods/contrastive_training/contrastive_training.py 40f5a2f8b0143f94 unverified MIT (permissive)
arXiv:Wang_GET_Unlocking_the_Multi-modal_Potential_of_CLIP_for_Generalized_Category_CVPR_2025_paper enguangW/GET/model.py b3c2e94d4887d26b ran · our draft was wrong MIT (permissive)
arXiv:Huang_AnomalyNCD_Towards_Novel_Anomaly_Class_Discovery_in_Industrial_Scenarios_CVPR_2025_paper HUST-SLOW/AnomalyNCD/models/loss/_contrastive_loss.py b3c2e94d4887d26b ran · our draft was wrong 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