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G-Mix: A Generalized Mixup Learning Framework Towards Flat Minima

G-Mix: A Generalized Mixup Learning Framework Towards Flat Minima

7 August 2023
Xingyu Li
Bo Tang
    AAML
ArXivPDFHTML

Papers citing "G-Mix: A Generalized Mixup Learning Framework Towards Flat Minima"

5 / 5 papers shown
Title
Efficient Sharpness-aware Minimization for Improved Training of Neural
  Networks
Efficient Sharpness-aware Minimization for Improved Training of Neural Networks
Jiawei Du
Hanshu Yan
Jiashi Feng
Qiufeng Wang
Liangli Zhen
Rick Siow Mong Goh
Vincent Y. F. Tan
AAML
113
132
0
07 Oct 2021
Emotion Correlation Mining Through Deep Learning Models on Natural
  Language Text
Emotion Correlation Mining Through Deep Learning Models on Natural Language Text
Xinzhi Wang
Luyao Kou
V. Sugumaran
Xiangfeng Luo
Hui Zhang
27
62
0
28 Jul 2020
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
950
20,572
0
17 Apr 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
389
11,700
0
09 Mar 2017
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
308
2,892
0
15 Sep 2016
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