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

[EMNLP 2022] Improved Universal Sentence Embeddings with Prompt-based Contrastive Learning and Energy-based Learning (by YJiangcm)
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DiffCSE PromCSE
3 1
293 135
1.0% 0.0%
0.0 5.9
over 2 years ago over 1 year ago
Python Python
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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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]

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

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

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

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

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

simple-simcse - A simple implementation of SimCSE

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

balena - BALanced Execution through Natural Activation : a human-computer interaction methodology for code running.

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Other PDF SDKs promise a lot - then break. Laggy scrolling, poor mobile UX, tons of bugs, and lack of support cost you endless frustrations. Nutrient’s SDK handles billion-page workloads - so you don’t have to debug PDFs. Used by ~1 billion end users in more than 150 different countries.
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