Philip-Bachman/Pseudo-Ensembles
Materials for implementing and reproducing results in the NIPS paper.
Developer Profile
Philip-Bachman
Discovered public repositories for Philip-Bachman in the GitHub catalog.
Philip-Bachman/GradReg
Code for ICML 2014 paper: "Sample-based Approximate Regularization"
Philip-Bachman/NN-Python
The useful and used parts of NN-Dropout
Philip-Bachman/NN-Dropout
This code is for training feedforward neural networks with dropout.
Philip-Bachman/Pragmatic-Bandits
code for performing pragmatic banditry
Philip-Bachman/CovCoding
Covariance Coding for Image Features
Philip-Bachman/MultiClassBoosting
Code for a variety of approaches to learning classifiers via boosting
Philip-Bachman/Xcetera
Assorted code fragments
Philip-Bachman/Matrix-Learning
Code for algorithms and tests pertaining to sparse network basis learning