no code implementations • 16 Aug 2023 • Michael G. Rawson, Timothy Doster
Our approach is benchmarked against standard pruning and least squares as well as deep learning methods.
no code implementations • 7 Oct 2022 • Henry Kvinge, Tegan H. Emerson, Grayson Jorgenson, Scott Vasquez, Timothy Doster, Jesse D. Lew
It is often said that a deep learning model is "invariant" to some specific type of transformation.
no code implementations • 2 Dec 2021 • Ted Fujimoto, Timothy Doster, Adam Attarian, Jill Brandenberger, Nathan Hodas
We investigate how effective an attacker can be when it only learns from its victim's actions, without access to the victim's reward.
Multi-agent Reinforcement Learning reinforcement-learning +1
no code implementations • 17 Nov 2020 • Sarah Tymochko, Zachary New, Lucius Bynum, Emilie Purvine, Timothy Doster, Julien Chaput, Tegan Emerson
Advances in natural language processing have resulted in increased capabilities with respect to multiple tasks.
no code implementations • CVPR 2016 • Leslie N. Smith, Emily M. Hand, Timothy Doster
In particular, an untrainable deep network starts as a trainable shallow network and newly added layers are slowly, organically added during training, thereby increasing the network's depth.