DiffCSE
Code for the NAACL 2022 long paper "DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings" (by voidism)
Unsupervised-Classification
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020] (by wvangansbeke)
DiffCSE | Unsupervised-Classification | |
---|---|---|
3 | 2 | |
286 | 1,308 | |
- | - | |
0.0 | 1.4 | |
over 1 year ago | 10 months ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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.
-
[N] MIT/Meta AI released their new SOTA unsupervised sentence embedding model "DiffCSE"
Code for https://arxiv.org/abs/2204.10298 found: https://github.com/voidism/DiffCSE
Unsupervised-Classification
Posts with mentions or reviews of Unsupervised-Classification.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-04-13.
-
Middle ground dataset between CIFAR and ImageNet [D]
The subsets we used are from here: https://github.com/wvangansbeke/Unsupervised-Classification/tree/master/data/imagenet_subsets
- Any reference or idea about how to train unsupervised CNN model ?
What are some alternatives?
When comparing DiffCSE and Unsupervised-Classification you can also consider the following projects:
PromCSE - Code for "Improved Universal Sentence Embeddings with Prompt-based Contrastive Learning and Energy-based Learning (EMNLP 2022)"
simclr - SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners