184 citations · 193 across the 3 of their papers we have counts for
4 papers
Echo State Neural Machine Translation
Ankush Garg, Yuan Cao, Qi Ge
We present neural machine translation (NMT) models inspired by echo state network (ESN), named Echo State NMT (ESNMT), in which the encoder and decoder layer weights are randomly g…
A Concert-planning Tool for Independent Musicians by Machine Learning Models
Xiaohan Yang, Qingyin Ge
Our project aims at helping independent musicians to plan their concerts based on the economies of agglomeration in the music industry. Initially, we planned to design an advisory…
Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling
Jonathan Shen, Patrick Nguyen, Yonghui Wu +88
Lingvo is a Tensorflow framework offering a complete solution for collaborative deep learning research, with a particular focus towards sequence-to-sequence models. Lingvo models a…
One Billion Word Benchmark for Measuring Progress in Statistical Language Modeling
Ciprian Chelba, Tomas Mikolov, Mike Schuster +4
We propose a new benchmark corpus to be used for measuring progress in statistical language modeling. With almost one billion words of training data, we hope this benchmark will be…