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 If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year).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.
Here is an update to the list for language modelling. The WikiText-103 dataset is not currently listed, but it has been a popular dataset for large vocabulary (not covered by ptb/wt2) and long time dependencies (not covered by billion word benchmark). It seems relevant for this list.
Paper title: Fast Parametric Learning with Activation Memorization
Dataset: WikiText-103
Metric: 29.2 (Perplexity)
Year: 2018
Link: https://arxiv.org/abs/1803.10049
Here is an update to the list for language modelling. The WikiText-103 dataset is not currently listed, but it has been a popular dataset for large vocabulary (not covered by ptb/wt2) and long time dependencies (not covered by billion word benchmark). It seems relevant for this list.
Paper title: Fast Parametric Learning with Activation Memorization Dataset: WikiText-103 Metric: 29.2 (Perplexity) Year: 2018 Link: https://arxiv.org/abs/1803.10049