Git Product home page Git Product logo

adversarial-classify's Introduction

adversarial-classify's People

Contributors

sachin19 avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar  avatar

adversarial-classify's Issues

Any upcoming update to your repository?

Hi,

Thanks for releasing the code.

Can you please answer a few questions?

  1. Does this code reproduce results from your EMNLP paper? And when do you plan to release all the preprocessing scripts along with readme?

  2. I tried preprocessing the reddit l2 dataset the way you described in the paper (posts greater than 50 words and balanced dataset for all classes). But I did not get the numbers of the dataset you reported (260k for training, 32k for test, valid). Are these numbers for 10 most frequent classes or all 23 of them?

  3. In your arxiv version, the numbers for a linear classifier (LR) in tables 1 and 4 do not match (52.5 vs 21.1 for in-domain). I assume it is because the num_classes in former is 10 while it is 23 in the latter?

  4. Can you share the exact splits (train, test, oodtest) you used in your paper?

Thanks again for releasing the code,
Ashim

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

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.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.