Alexandre Passos
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Scientific Computing and Data Management, Machine Learning and Algorithms, Computational Physics and Python Applications
Most-Cited Works
- → Scikit-learn: Machine Learning in Python(2012)63,383 cited
- → Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space(2014)461 cited
- Lexicon Infused Phrase Embeddings for Named Entity Resolution(2015)
- → Large scale distributed neural network training through online\n distillation(2018)206 cited
- → TensorFlow Eager: A Multi-Stage, Python-Embedded DSL for Machine Learning(2019)52 cited
- → Flexible Modeling of Latent Task Structures in Multitask Learning(2012)33 cited
- → Faster Neural Network Training with Data Echoing(2019)33 cited
- → Learning Soft Linear Constraints with Application to Citation Field Extraction(2014)18 cited