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Improving Multi-fidelity Optimization with a Recurring Learning Rate for
  Hyperparameter Tuning

Improving Multi-fidelity Optimization with a Recurring Learning Rate for Hyperparameter Tuning

26 September 2022
HyunJae Lee
Gihyeon Lee
Junh-Nam Kim
Sungjun Cho
Dohyun Kim
Donggeun Yoo
ArXivPDFHTML

Papers citing "Improving Multi-fidelity Optimization with a Recurring Learning Rate for Hyperparameter Tuning"

4 / 4 papers shown
Title
Bayesian Optimization Meets Self-Distillation
Bayesian Optimization Meets Self-Distillation
HyunJae Lee
Heon Song
Hyeonsoo Lee
Gi-hyeon Lee
Suyeong Park
Donggeun Yoo
UQCV
BDL
36
1
0
25 Apr 2023
There Are Many Consistent Explanations of Unlabeled Data: Why You Should
  Average
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average
Ben Athiwaratkun
Marc Finzi
Pavel Izmailov
A. Wilson
202
243
0
14 Jun 2018
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
309
36,371
0
25 Aug 2016
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
296
39,198
0
01 Sep 2014
1