Comments (2)
DonkeyShot21
commented on July 17, 2024
Hi! Thanks for your interest in our work.
It is not equivalent in my opinion. The advantage of using SK is that it prevents collapsed solutions and encourages the network to roughly equipartition the current batch into the clusters. Label smoothing does not do that at all.
What are the advantages of using the Sinkhorn-Knopp algorithm instead of cross-entropy loss?
SK is used to generate the pseudo-labels, then the cross-entropy is used in any case, independently of how you generate the pseudo-labels.
Hope it makes sense for you!
from uno.
NanAlbert
commented on July 17, 2024
Thank you so much!
from uno.
Related Issues (14)
- License HOT 2
- How long does ImageNet experiments take? HOT 2
- How to implement the unconcat version? HOT 7
- Clarification question on num_large_crops HOT 2
- UNO_V2 results HOT 1
- The results on CIFAR10 HOT 2
- Issues with saving and loading checkpoints when using multiple gpus.
- a lot of questions about how to reproduce and cite the experimental results HOT 6
- Reproducing the paper results HOT 7
- Save inference images HOT 2
- swapped_prediction computation HOT 9
- Apply to a custom dataset HOT 2
- loss_per_head seems wrong HOT 2
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from uno.