ml-papers

Summary of Machine Learning papers.

Some of the summaries will also be available at ShortScience.org

Latest Additions

Machine Learning applied to clinical data:

• Nov 28, 2017: DeepCare: A Deep Dynamic Memory Model for Predictive Medicine
• Nov 3, 2017: Learning to Diagnose with LSTM Recurrent Neural Networks
• Nov 2, 2017: Development and Validation of a Continuous Measure of Patient Condition using the Electronic Health Record
• Oct 31, 2017: Recurrent Neural Networks for Multivariate Time Series with Missing Values
• Oct 31, 2017: Doctor AI: Predicting Clinical Events via Recurrent Neural Networks
• Oct 27, 2017: Deep Patient: An Unsupervised Representation to Predict the Future of Patients using Electronic Health Records
• Oct 26, 2017: Modeling Missing Data in Clinical Time Series with RNNs
• Oct 25, 2017: Deepr: A Convolutional Net for Medical Records
• Oct 25, 2017: Clinical Intervention Prediction and Understanding using Deep Networks

Machine Learning theory:

• Nov 8, 2017: The Reusable Holdout: Preserving Validity in Adaptive Data Analysis

Convolutional Neural Networks:

• Nov 28, 2017: Network in Network
• Nov 23, 2017: Deep Residual Learning for Image Recognition
• Nov 22, 2017: Very Deep Convolutional Networks for Large-Scale Image Recognition
• Nov 17, 2017: ImageNet Classification with Deep Convolutional Neural Networks