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Enhancing Accuracy and Parameter-Efficiency of Neural Representations
  for Network Parameterization

Enhancing Accuracy and Parameter-Efficiency of Neural Representations for Network Parameterization

29 June 2024
Hongjun Choi
Jayaraman J. Thiagarajan
Ruben Glatt
Shusen Liu
ArXivPDFHTML

Papers citing "Enhancing Accuracy and Parameter-Efficiency of Neural Representations for Network Parameterization"

2 / 2 papers shown
Title
Megatron-LM: Training Multi-Billion Parameter Language Models Using
  Model Parallelism
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
M. Shoeybi
M. Patwary
Raul Puri
P. LeGresley
Jared Casper
Bryan Catanzaro
MoE
243
1,817
0
17 Sep 2019
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
273
2,886
0
15 Sep 2016
1