deep-learning

2019-When Deep NLP Models Are Not So Favorable

Empirical study of scenarios where deep NLP models are not favorable over classical models

2017-Monaural Speech Speakers Separation

Speakers separation with RNN in a monaural setting

2019-Neurips 2019 Reproducibility Challenge

Ablation study of a Neurips 2019 paper, submitted to the official challenge

2020-Graph Active Learning

A benchmark study of active learning on graphs

2020-MeDAL

A fourteen-million articles medical text dataset for medical NLP pretraining