30
Publications
8K
Citations
23
H-Index
1990
Active since
Affiliations
James Martens is an author at University of Toronto specializing in engineering, machine learning, and computer science.
Top concepts
EngineeringMachine LearningComputer ScienceDeep LearningData ScienceApproximation TheoryInverse ProblemsMathematical ProgrammingNumerical AnalysisComputer Vision
Publications per year
1990–2022
30
30
On the importance of initialization and momentum in deep learning
Ilya Sutskever, James Martens, George E. Dahl et al. · 2013 · 3.5K citations
Generating Text with Recurrent Neural Networks
Ilya Sutskever, James Martens, Geoffrey E. Hinton · 2011 · 1.2K citations
Deep learning via Hessian-free optimization
James Martens · 2010 · 714 citations
Learning Recurrent Neural Networks with Hessian-Free Optimization
James Martens, Ilya Sutskever · 2011 · 532 citations
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