Paper Reviews

Notes and reviews on academic papers — ML, deep learning, NLP, and statistics.

deep-learning

• L2 Regularization versus Batch and Weight Normalization 2017

• Densely Connected Convolutional Networks — implementations 2017

• Horovod: Uber’s Open Source Distributed Deep Learning Framework for TensorFlow 2017

• Failures in the Deep Learning Approach: Architectures and Meta-Parameterization 2017

ml

• Uplift Modeling 2014

• A good paper to be applied in Brazil — Predicting Public Corruption with Neural Networks 2018

• Some quick comments about Genevera Allen statements regarding Machine Learning 2019

nlp

• A Naïve Bayes Approach to Classifying Topics in Suicide Notes 2012

• Text Classification Algorithms: A Survey 2019

• Post-training quantization in FastText (or How to shrink your FastText model in 90%) 2019

security-ml

• A synthetic guide on Adversarial Attack 2018