Tuan Dinh

Constrained Deep Learning using Conditional Gradient and Applications in\n Computer Vision

2018 · arXiv (Cornell University)

A number of results have recently demonstrated the benefits of incorporating\nvarious constraints when training deep architectures in vision and machine\nlearning. The advantages range from guarantees for statistical generalization\nto better accuracy to compression. But support for …