1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2019★ 1 cited
Parallelized Training of Restricted Boltzmann Machines using Markov-Chain Monte Carlo Methods
Pei Yang, Srinivas Varadharajan, Lucas A. Wilson +4
Restricted Boltzmann Machine (RBM) is a generative stochastic neural network that can be applied to collaborative filtering technique used by recommendation systems. Prediction acc…
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…