Towards Causal Representation Learning
On 1 Mar, 2021 By admin 0 Comments
February, 2021
Abstract
Deep Neural Networks
Unwrapping The Black Box of Deep ReLU Networks: Interpretability, Diagnostics, and Simplification
On 2 Dec, 2020 By admin 0 Comments
Shortcut Learning in Deep Neural Networks
On 28 Aug, 2020 By admin 0 Comments
May, 2020
Abstract
Stable Architectures for Deep Neural Networks
On 10 May, 2017 By admin 0 Comments
Eldad Haber, Lars Ruthotto
May, 2017
Abstract:
Harnessing Deep Neural Networks with Logic Rules
On 20 Oct, 2016 By admin 0 Comments
Zhiting Hu, Xuezhe Ma, Zhengzhong Liu, Eduard Hovy, Eric P. Xing
August, 2016
A Unified Architecture for Natural Language Processing - Deep Neural Networks with Multitask Learning
On 2 May, 2016 By admin 0 Comments
Visualizing and Understanding Deep Neural Networks
On 30 Mar, 2016 By admin 0 Comments
Quadcopter Navigation in the Forest using Deep Neural Networks
On 30 Mar, 2016 By admin 0 Comments
Mastering the Game of Go with Deep Neural Networks and Tree Search
On 30 Mar, 2016 By admin 0 Comments
The game of Go has long been viewed as the most challenging of classic games for artificial intelligence owing to its enormous search space and the difficulty of evaluating board positions and moves. Here we introduce a new approach to computer Go that uses ‘value networks’ to evaluate board positions and ‘policy networks’ to select moves. These deep neural networks are trained by a novel combination of supervised learning from human expert games, and reinforcement learning from games of self-play.
Visualizing and Understanding Deep Neural Networks
On 10 Jun, 2015 By admin 0 Comments