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cs.CL2015★ 26 cited
Strategies for Training Large Vocabulary Neural Language Models
Welin Chen, David Grangier, Michael Auli
Training neural network language models over large vocabularies is still computationally very costly compared to count-based models such as Kneser-Ney. At the same time, neural lan…
cs.LG2015★ 8 cited
Predicting distributions with Linearizing Belief Networks
Yann N. Dauphin, David Grangier
Conditional belief networks introduce stochastic binary variables in neural networks. Contrary to a classical neural network, a belief network can predict more than the expected va…