ap229997 / Twin-Networks-for-Sequence-Generation

ICLR 2018 Reproducibility Challenge: Paper - "Twin Networks: Matching the Future for Sequence Generation"

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Twin-Networks-for-Sequence-Generation

PyTorch implementation for ICLR 2018 accepted paper Twin Networks: Matching the Future for Sequence Generation [pdf] for verifying the results for image captioning on MSCOCO dataset and pixel-by-pixel generation on MNIST.

An analysis of the paper and the reproducibility results on both the datasets are provided in Reproducibility_Report.pdf.

The implementation details are provided in ImageCaptioningCOCO and SequentialMNIST.

Citation

If you find this code useful, please consider citing the original work by authors:

@inproceedings{Serdyuk2017TwinNM,
  title={Twin Networks: Matching the Future for Sequence Generation},
  author={Dmitriy Serdyuk and Nan Rosemary Ke and Alessandro Sordoni and Adam Trischler and Chris Pal and Yoshua Bengio},
  year={2017}
}

About

ICLR 2018 Reproducibility Challenge: Paper - "Twin Networks: Matching the Future for Sequence Generation"


Languages

Language:Python 99.7%Language:Shell 0.3%