DiffCSE VS PromCSE

Compare DiffCSE vs PromCSE and see what are their differences.

DiffCSE

Code for the NAACL 2022 long paper "DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings" (by voidism)

PromCSE

Code for "Improved Universal Sentence Embeddings with Prompt-based Contrastive Learning and Energy-based Learning (EMNLP 2022)" (by YJiangcm)
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DiffCSE PromCSE
3 1
286 131
- -
0.0 5.9
over 1 year ago 6 months ago
Python Python
MIT License -
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DiffCSE

Posts with mentions or reviews of DiffCSE. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-26.

PromCSE

Posts with mentions or reviews of PromCSE. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-03.
  • State of the Art in Sentence Embeddings
    2 projects | /r/LanguageTechnology | 3 May 2022
    To answer your question about sentence embedding SOTA, it is not s-Bert and hasn't been for a while. SimCSE officially takes the crown since it's been presented at a conference, though according to paperswithcode's benchmark leaderboard there are other papers on arxiv that report higher performance on STS and similar tasks such as DCPCSE. Having tried both of these for my use case I found SimCSE to be better but YMMV.

What are some alternatives?

When comparing DiffCSE and PromCSE you can also consider the following projects:

Revisiting-Contrastive-SSL - Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]

nlu - 1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.

Unsupervised-Classification - SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

SimCSE - [EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821

inltk - Natural Language Toolkit for Indic Languages aims to provide out of the box support for various NLP tasks that an application developer might need

BERTopic - Leveraging BERT and c-TF-IDF to create easily interpretable topics.

Unsupervised-Semantic-Segmentation - Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]

pytorch-metric-learning - The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.