3 papers
cs.LG2019
Self-Play Learning Without a Reward Metric
Dan Schmidt, Nick Moran, Jonathan S. Rosenfeld +2
The AlphaZero algorithm for the learning of strategy games via self-play, which has produced superhuman ability in the games of Go, chess, and shogi, uses a quantitative reward fun…
eess.IV2019
Noisier2Noise: Learning to Denoise from Unpaired Noisy Data
Nick Moran, Dan Schmidt, Yu Zhong +1
We present a method for training a neural network to perform image denoising without access to clean training examples or access to paired noisy training examples. Our method requi…
cs.LG2018
Monotone Learning with Rectified Wire Networks
Veit Elser, Dan Schmidt, Jonathan Yedidia
We introduce a new neural network model, together with a tractable and monotone online learning algorithm. Our model describes feed-forward networks for classification, with one ou…