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On the adequacy of untuned warmup for adaptive optimization

On the adequacy of untuned warmup for adaptive optimization

9 October 2019
Jerry Ma
Denis Yarats
ArXivPDFHTML

Papers citing "On the adequacy of untuned warmup for adaptive optimization"

4 / 4 papers shown
Title
Sampling Foundational Transformer: A Theoretical Perspective
Sampling Foundational Transformer: A Theoretical Perspective
Viet Anh Nguyen
Minh Lenhat
Khoa Nguyen
Duong Duc Hieu
Dao Huu Hung
Truong Son-Hy
39
0
0
11 Aug 2024
Resource Efficient Perception for Vision Systems
Resource Efficient Perception for Vision Systems
M. I. A V Subramanyam
Niyati Singal
Vinay K. Verma
23
0
0
12 May 2024
Stochastic Subnetwork Annealing: A Regularization Technique for Fine
  Tuning Pruned Subnetworks
Stochastic Subnetwork Annealing: A Regularization Technique for Fine Tuning Pruned Subnetworks
Tim Whitaker
Darrell Whitley
15
0
0
16 Jan 2024
Quasi-hyperbolic momentum and Adam for deep learning
Quasi-hyperbolic momentum and Adam for deep learning
Jerry Ma
Denis Yarats
ODL
73
126
0
16 Oct 2018
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