Skip to content
/ INFNET Public

ICLR2018 paper: Learning Approximate Inference Networks for Structured Prediction

License

Notifications You must be signed in to change notification settings

lifu-tu/INFNET

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

7 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

INFNET

Code for ICLR2018 paper "Learning Approximate Inference Networks for Structured Prediction".

The code is written in python2.7 and requies Theano0.8.

The folder includes the code for two tasks: Multi-Label Classification and Sequence Labeling.

Reference:

Learning Approximate Inference Networks for Structured Prediction (https://arxiv.org/abs/1803.03376)

@inproceedings{tu-18,
  author={Lifu Tu and Kevin Gimpel},
  title={Learning Approximate Inference Networks for Structured Prediction},
  booktitle={Proceedings of International Conference on Learning Representations (ICLR)},
  year={2018}
}

Requirements:

  • GPU and CUDA 8 are required
  • Theano 0.8
  • lasagne
  • torchfile
  • numpy

About

ICLR2018 paper: Learning Approximate Inference Networks for Structured Prediction

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published