Josh Levenberg
NTT (Japan)(JP)
Publications by Year
Research Areas
Parallel Computing and Optimization Techniques, Topic Modeling, Natural Language Processing Techniques, Computational Physics and Python Applications, Advanced Neural Network Applications
Most-Cited Works
- → TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems(2016)9,726 cited
- → TensorFlow: A system for large-scale machine learning(2016)8,791 cited
- → Why Google stores billions of lines of code in a single repository(2016)146 cited
- → TensorFlow Eager: A Multi-Stage, Python-Embedded DSL for Machine Learning(2019)52 cited
- → Proceedings of the First Workshop on Subword and Character Level Models in NLP(2017)48 cited
- → Proceedings of the First Workshop on NLP for Conversational AI(2019)6 cited
- → Proceedings of the Workshop on Machine Reading for Question Answering(2018)3 cited