Blog | Machine Learning | Carnegie Mellon University

Contextual Parameter Generation for Neural Machine Translation

January 14, 2019

Machine translation is the problem of translating sentences from some source language to a target language. Neural machine translation (NMT), directly models the mapping of a source language to a target language without any need for training or tuning any…

deep learning machine learning machine translation natural language processing

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Massively Parallel Hyperparameter Optimization

December 12, 2018

Machine learning algorithms typically have configuration parameters, or hyperparameters, that influence their output and ultimately predictive accuracy (Melis et al., 2018). Some common examples of hyperparameters include learning rate, dropout, and activation function for neural networks, maximum tree depth…

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Introducing the ML@CMU Blog

December 12, 2018

CMU is a leader in the field of machine learning research, both within the Machine Learning Department (MLD) and across the university in general. Traditional conference and journal publications, along with technical talks, are our primary avenues for disseminating our…

machine learning

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