This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
paper: Improving Neural Machine Translation with Conditional Sequence Generative Adversarial Nets https://arxiv.org/abs/1703.04887 year: 2107 average BLEU score in chinese - english NIST03 to NIST05 task up to 42.6 points implementation: https://github.com/ngohoanhkhoa/GAN-NMT