176 citations · 368 across the 18 of their papers we have counts for
3 papers · 1 filter
Simple and Efficient Parallelization for Probabilistic Temporal Tensor Factorization
Guangxi Li, Zenglin Xu, Linnan Wang +3
Probabilistic Temporal Tensor Factorization (PTTF) is an effective algorithm to model the temporal tensor data. It leverages a time constraint to capture the evolving properties of…
Efficient Communications in Training Large Scale Neural Networks
Linnan Wang, Wei Wu, George Bosilca +2
We consider the problem of how to reduce the cost of communication that is required for the parallel training of a neural network. The state-of-the-art method, Bulk Synchronous Par…
Accelerating Deep Neural Network Training with Inconsistent Stochastic Gradient Descent
Linnan Wang, Yi Yang, Martin Renqiang Min +1
SGD is the widely adopted method to train CNN. Conceptually it approximates the population with a randomly sampled batch; then it evenly trains batches by conducting a gradient upd…