Home › Code › clip_loss

clip_loss

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

clip_loss appears in the code Syntology harvested for 35 papers, as 19 distinct code bodies found in 36 places (a place is one code body under one paper). At least one of them ran in 18 of the papers; 11 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 clip_loss 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 14 of the 19 distinct code bodies named clip_loss; 5 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

1ran · honoured contract
1ran · violated contract
7ran · our draft was wrong
1ran · fixture could not drive it
4ran
5unverified
11fingerprinted

Licence is a property of each copy, so it is counted per place: 17 of the 36 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

35 papers shown of 35, newest first; 36 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 5 papers added by Syntology; 2 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
Decoupled Vision-Language System for Multimodal Understanding and Generation added by Syntology 2026-08 (from id) YifanXu74/Libra/libra/models/clip/modeling_clip.py f2ca34eca05d40cd unverified Apache-2.0 (permissive)
VTaMo: Video-Text Alignment Model for Sign Language Translation added by Syntology 2026-07 (from id) junyi2005/vtamo/vtamo/clip_loss.py 8892fce2748859a1 ran fingerprinted licence not identified · pointer only
Generating Statistical Charts with Validation-Driven LLM Workflows added by Syntology 2026-05 (from id) pavlin-policar/llm-chart-generation/generation_pipeline/model_scripts/0_train_vit_clip.py 89367cb0848f8519 ran BSD-3-Clause (permissive)
DEXTER: Diffusion-Guided EXplanations with TExtual Reasoning for Vision Models added by Syntology 2025-10 (from id) perceivelab/dexter/dexter/models/modeling_clip.py f2ca34eca05d40cd unverified no licence file found · pointer only
SPECS: Specificity-Enhanced CLIPScore for Long Image Caption Evaluation added by Syntology 2025-09 (from id) mbzuai-nlp/SPECS/model/model_spec.py 11ea502213a91170 ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
CultureCLIP: Empowering CLIP with Cultural Awareness through Synthetic Images and Contextualized Captions 8 Jul 2025 lukahhcm/cultureclip/model_finetune/loss.py 1d31de1c8207e447 unverified no licence file found · pointer only
FG-CLIP: Fine-Grained Visual and Textual Alignment 8 May 2025 360CVGroup/FG-CLIP/fgclip2/model/strcs/fgclip2.py e8c40917a9682d02 ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
GOAL: Global-local Object Alignment Learning 22 Mar 2025 PerceptualAI-Lab/GOAL/goal.py 1591524e14c110fe ran · our draft was wrong fingerprinted no licence file found · pointer only
Cornstarch: Distributed Multimodal Training Must Be Multimodality-Aware 2025-03 (from id) cornstarch-org/Cornstarch/cornstarch/models/evaclip/modeling_evaclip.py f2ca34eca05d40cd unverified Apache-2.0 (permissive)
Any Information Is Just Worth One Single Screenshot: Unifying Search With Visualized Information Retrieval 17 Feb 2025 VectorSpaceLab/MegaPairs/modeling_MMRet_CLIP.py 198ed04eaf39466a ran · our draft was wrong fingerprinted MIT (permissive)
TaxaBind: A Unified Embedding Space for Ecological Applications 1 Nov 2024 mvrl/taxabind/TaxaBind/EnvBind/model.py 29a311684e27a509 ran · fixture could not drive it fingerprinted Apache-2.0 (permissive)
Capacity Control is an Effective Memorization Mitigation Mechanism in Text-Conditional Diffusion Models 29 Oct 2024 raman1121/diffusion_memorization_hpo/difffit/modeling_clip.py f2ca34eca05d40cd unverified no licence file found · pointer only
InstructG2I: Synthesizing Images from Multimodal Attributed Graphs 9 Oct 2024 PeterGriffinJin/InstructG2I/instructg2i/GraphQFormer.py f2ca34eca05d40cd unverified no licence file found · pointer only
Investigating and Mitigating Object Hallucinations in Pretrained Vision-Language (CLIP) Models 4 Oct 2024 Yufang-Liu/clip_hallucination/finetune_clip/modeling_clip.py f2ca34eca05d40cd unverified no licence file found · pointer only
Multimodal LLM Enhanced Cross-lingual Cross-modal Retrieval 30 Sep 2024 lijiabei-7/leccr/LECCR/models/clip_vit.py e5b89b1f72c319ed ran · our draft was wrong fingerprinted no licence file found · pointer only
TokenBinder: Text-Video Retrieval with One-to-Many Alignment Paradigm 30 Sep 2024 bingqingzhang/TokenBinder/src/modeling/CLIP.py e5b89b1f72c319ed ran · our draft was wrong fingerprinted MIT (permissive)
M$^2$PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning 24 Sep 2024 william-wang618/m2pt/M2PT/model/llava_archPT.py 017dd63ed48e15f1 ran · our draft was wrong fingerprinted no licence file found · pointer only
Maven: A Multimodal Foundation Model for Supernova Science 29 Aug 2024 thomashelfer/multimodal-supernovae/src/loss.py ca4c88ac11df70b3 ran MIT (permissive)
Libra: Building Decoupled Vision System on Large Language Models 16 May 2024 yifanxu74/libra/libra/models/clip/modeling_clip.py f2ca34eca05d40cd unverified Apache-2.0 (permissive)
Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement 11 Mar 2024 cheliu-computation/merl/utils/utils_loss.py 19c632192cb40d5c unverified MIT (permissive)
Explaining generative diffusion models via visual analysis for interpretable decision-making process 16 Feb 2024 ian-jihoonpark/X-Diffusion/models/clip_encoder.py f2ca34eca05d40cd unverified no licence file found · pointer only
Lite-Mind: Towards Efficient and Robust Brain Representation Network 6 Dec 2023 gongzix/lite-mind/src/engine.py 507ba10a0f424439 ran fingerprinted no licence file found · pointer only
G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training 3 Dec 2023 cheliu-computation/g2d-neurips24/PRETRAIN/utils/loss.py 19c632192cb40d5c unverified no licence file found · pointer only
Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation 28 Sep 2023 guyyariv/TempoTokens/modules/text_encoder/modeling_clip_tempotokens.py f2ca34eca05d40cd unverified MIT (permissive)
ZeroForge: Feedforward Text-to-Shape Without 3D Supervision 14 Jun 2023 km3888/zeroforge/zf_training.py cc8b8865eb2b1f91 ran · our draft was wrong no licence file found · pointer only
Stable Diffusion is Unstable 5 Jun 2023 duchengbin8/Stable_Diffusion_is_Unstable/m_clip.py f2ca34eca05d40cd unverified Apache-2.0 (permissive)
AudioToken: Adaptation of Text-Conditioned Diffusion Models for Audio-to-Image Generation 22 May 2023 guyyariv/AudioToken/modules/clip_text_model/modeling_clip.py f2ca34eca05d40cd unverified MIT (permissive)
EfficientVLM: Fast and Accurate Vision-Language Models via Knowledge Distillation and Modal-adaptive Pruning 14 Oct 2022 swaggy-tn/efficientvlm/efficient_models/eff_vit.py e5b89b1f72c319ed ran · our draft was wrong fingerprinted BSD-3-Clause recorded; this copy not marked cleared · pointer only
Multimodal Analogical Reasoning over Knowledge Graphs 1 Oct 2022 zjunlp/MKGformer/MKG/models/modeling_clip.py e5b89b1f72c319ed ran · our draft was wrong fingerprinted MIT (permissive)
Multimodal Analogical Reasoning over Knowledge Graphs 1 Oct 2022 zjunlp/MKG_Analogy/MarT/models/modeling_clip.py 1aa7f7b75b2418fa ran · violated contract fingerprinted MIT (permissive)
CLIP-ViP: Adapting Pre-trained Image-Text Model to Video-Language Representation Alignment 14 Sep 2022 microsoft/xpretrain/CLIP-ViP/src/modeling/CLIP_ViP.py e5b89b1f72c319ed ran · our draft was wrong fingerprinted licence not identified · pointer only
Cross-View Language Modeling: Towards Unified Cross-Lingual Cross-Modal Pre-training 1 Jun 2022 zengyan-97/cclm/models/clip_vit.py e5b89b1f72c319ed ran · our draft was wrong fingerprinted BSD-3-Clause recorded; this copy not marked cleared · pointer only
Geodesic Multi-Modal Mixup for Robust Fine-Tuning 8 Mar 2022 changdaeoh/multimodal-mixup/loss.py cb73c26e3ce88785 unverified no licence file found · pointer only
Augmenting Policy Learning with Routines Discovered from a Single Demonstration 23 Dec 2020 sjtuytc/AAAI21-RoutineAugmentedPolicyLearning/torchrl_with_routines/algo/a2c.py 7c89cc9faf6bdbd1 ran · honoured contract fingerprinted MIT (permissive)
arXiv:aaai_28565 zhangxulu1996/Compositional-Inversion/model/modeling_clip.py f2ca34eca05d40cd unverified MIT (permissive)
arXiv:2024.findings-emnlp.965 Chauncey-Jheng/PCRL-MRG/llama_recipes/models/PCRL_llama/modeling_PCRL_llama.py 9cebce9bbb39f3de 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