Methods › Natural Language Processing › Sentence Embeddings › SimCSE

SimCSE

52 papers tagged archive 2025-07-28

Introduced by Tianyu Gao et al. in SimCSE: Simple Contrastive Learning of Sentence Embeddings

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

SimCSE is a contrastive learning framework for generating sentence embeddings. It utilizes an unsupervised approach, which takes an input sentence and predicts itself in contrastive objective, with only standard dropout used as noise. The authors find that dropout acts as minimal “data augmentation” of hidden representations, while removing it leads to a representation collapse. Afterwards a supervised approach is used, which incorporates annotated pairs from natural language inference datasets into the contrastive framework, by using “entailment” pairs as positives and “contradiction

PaperSource

Papers archive 2025-07-28

30 shown of 52, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

20 shown of 53 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Sentence42
Contrastive Learning34
Sentence Embeddings31
STS26
Semantic Textual Similarity22
Sentence Embedding15
Sentence-Embedding15
Retrieval8
Language Modelling7
Representation Learning7
Data Augmentation5
Language Modeling5
Information Retrieval4
Semantic Similarity4
text similarity4
Natural Language Inference3
Transfer Learning3
Word Embeddings3
Attribute2
Classification2

Usage over time archive 2025-07-28

Papers per year tagged with SimCSE: 2021 to 2025, peak 14 14 0 2021: 11 papers 2021 2022: 14 papers 2022 2023: 14 papers 2023 2024: 9 papers 2024 2025: 4 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (52 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Sentence Embeddings

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