1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2019
Densifying Assumed-sparse Tensors: Improving Memory Efficiency and MPI Collective Performance during Tensor Accumulation for Parallelized Training of Neural Machine Translation Models
Derya Cavdar, Valeriu Codreanu, Can Karakus +11
Neural machine translation - using neural networks to translate human language - is an area of active research exploring new neuron types and network topologies with the goal of dr…
stat.ML2017★ 1 cited
An Effective Way to Improve YouTube-8M Classification Accuracy in Google Cloud Platform
Zhenzhen Zhong, Shujiao Huang, Cheng Zhan +4
Large-scale datasets have played a significant role in progress of neural network and deep learning areas. YouTube-8M is such a benchmark dataset for general multi-label video clas…