activity
20172021
most citedScale out for large minibatch SGD: Residual network training on ImageNet-1K with improved accuracy and reduced time to train

36 citations · 47 across the 4 of their papers we have counts for

collaborators
Showing cs.LGShow all

1 paper · 1 filter

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…