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Tasks, stability, architecture, and compute: Training more effective
  learned optimizers, and using them to train themselves

Tasks, stability, architecture, and compute: Training more effective learned optimizers, and using them to train themselves

23 September 2020
Luke Metz
Niru Maheswaranathan
C. Freeman
Ben Poole
Jascha Narain Sohl-Dickstein
ArXivPDFHTML

Papers citing "Tasks, stability, architecture, and compute: Training more effective learned optimizers, and using them to train themselves"

2 / 52 papers shown
Title
Emergence of Locomotion Behaviours in Rich Environments
Emergence of Locomotion Behaviours in Rich Environments
N. Heess
TB Dhruva
S. Sriram
Jay Lemmon
J. Merel
...
Tom Erez
Ziyun Wang
S. M. Ali Eslami
Martin Riedmiller
David Silver
131
928
0
07 Jul 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
308
11,681
0
09 Mar 2017
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