neural networks research group
Machine Learning is a very broad category that encompasses most of the work done in the AI Lab in one way or another. Essentially, any system that performs some sort of behavior (defined by a model or policy), and changes its behavior based on data (learns), can be considered a Machine Learning system.
AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks
Garrett Bingham and Risto Miikkulainen
Proceedings of the 37th AAAI Conference on Artificial Intelligence
, 2023. (also arXiv:20...
Optimizing Neural Networks through Activation Function Discovery and Automatic Weight Initialization
PhD Thesis, Department of Computer Science, The University of Texas at Austin, May 2023.
The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings
Elliot Meyerson and Risto Miikkulainen
, October 2020.
Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing---and Back
Elliot Meyerson, Risto Miikkulainen
Proceedings of the 35th International Conference on Machine Learning
, 739-748, 2018.
Infinite-Word Topic Models for Digital Media
PhD Thesis, Department of Computer Science, The University of Texas at Austin, 2014.
Online Kernel Selection for Bayesian Reinforcement Learning
Joseph Reisinger and Peter Stone and Risto Miikkulainen
Proceedings of the Twenty-Fifth International Conference on Machine Learning
, July 2008.
A Neuroevolution Approach to General Atari Game Playing