leaplabthu / daprompt Goto Github PK
View Code? Open in Web Editor NEWPytorch implementation of DAPrompt: https://arxiv.org/abs/2202.06687
License: MIT License
Pytorch implementation of DAPrompt: https://arxiv.org/abs/2202.06687
License: MIT License
I want to run this code in VLCS dataset and i register this dataset as required, but it keeps showing that 'Object name "VLCS" does not exist in "DATASET" registry', what is the problem?
Does that also support text data? thanks
Thanks for your excellent work, but I'm curious about the Clip + FT experimental settings you posted. What data and which part of the parameters do you use for fine-tune ?
Hi John,
Fantastic work you have done!
I see you add an additional dataset experiment on this repo, that's the DomainNet which is not included in the paper.
May I have the Experimental Settings for the DomainNet? For example the training epoch, batch size, pseudo-labeling threshold and etc.
Thanks for this good work! Just a little wondering whether it also supports Transformer as backbone?
Thanks for your very interesting research.
I have some questions about the code of L402 in trainers/dapl.py
Line 402 in f24b0c1
The original paper states that contrastive learning helps transfer learning.
But, to my understanding, in the above code, this operation does not perform contrastive learning over multi-domain and it seems to simply perform contrastive learning over single-domain.
To perform contrastive learning over multi-domain, I think I need to change the code in the following, right?
loss_x = F.cross_entropy(output_x[:, :-self.n_cls], label)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.