78 citations · 166 across the 5 of their papers we have counts for
4 papers · 1 filter
Local Label Propagation for Large-Scale Semi-Supervised Learning
Chengxu Zhuang, Xuehao Ding, Divyanshu Murli +1
A significant issue in training deep neural networks to solve supervised learning tasks is the need for large numbers of labelled datapoints. The goal of semi-supervised learning i…
Unsupervised Learning from Video with Deep Neural Embeddings
Chengxu Zhuang, Tianwei She, Alex Andonian +2
Because of the rich dynamical structure of videos and their ubiquity in everyday life, it is a natural idea that video data could serve as a powerful unsupervised learning signal f…
Local Aggregation for Unsupervised Learning of Visual Embeddings
Chengxu Zhuang, Alex Lin Zhai, Daniel Yamins
Unsupervised approaches to learning in neural networks are of substantial interest for furthering artificial intelligence, both because they would enable the training of networks w…
Making a Science of Model Search
J. Bergstra, D. Yamins, D. D. Cox
Many computer vision algorithms depend on a variety of parameter choices and settings that are typically hand-tuned in the course of evaluating the algorithm. While such parameter…