Bernardino Romera-Paredes's repositories
Embarrassingly-simple-ZSL
This repository contains the code for the real data experiments presented in our paper “An embarrassingly simple approach to zero-shot learning”, presented at ICML 2015.
ConvexTensor
Matlab code for the paper "A New Convex Relaxation for Tensor Completion"
multitask-representation
Code for experiments in paper "The Benefit of Multitask Representation Learning"
caffe-manager
Few scripts to make it simple to run experiments in caffe and organize the results, so that the options used for each run are stored.
bernard24.github.io
website
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caffe
Caffe: a fast framework for deep learning. For the most recent version checkout the dev branch. For the latest stable release checkout the master branch.
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