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 If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year).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.
RedditSota
commented
6 years ago
A recent ICLR 2018 submission (https://arxiv.org/pdf/1711.03953.pdf) claims to achieve sub-50 perplexities in language modelling on Penn Treebank.