Dropout Reduces Underfitting

Dropout Reduces Underfitting

2 March 2023

Zhi-Qin John Xu

Papers citing "Dropout Reduces Underfitting"

12 / 12 papers shown

Title
Fine-tuning with Very Large Dropout Jianyu Zhang Léon Bottou 37 1 0 01 Mar 2024
GoalNet: Goal Areas Oriented Pedestrian Trajectory Prediction Ching-Lin Lee Zhi-Xuan Wang Kuan-Ting Lai Amar Fadillah 28 1 0 29 Feb 2024
Initializing Models with Larger Ones Zhiqiu Xu Yanjie Chen Kirill Vishniakov Yida Yin Zhiqiang Shen Trevor Darrell Lingjie Liu Zhuang Liu 28 17 0 30 Nov 2023
A Coefficient Makes SVRG Effective Yida Yin Zhiqiu Xu Zhiyuan Li Trevor Darrell Zhuang Liu 15 1 0 09 Nov 2023
Deep Transfer Learning for Automatic Speech Recognition: Towards Better Generalization Hamza Kheddar Yassine Himeur S. Al-Maadeed Abbes Amira F. Bensaali 35 76 0 27 Apr 2023
A robust deep learning-based damage identification approach for SHM considering missing data Fan Deng Xiaoming Tao Pengxiang Wei Shiyin Wei 14 13 0 31 Mar 2023
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,412 0 11 Nov 2021
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 239 2,592 0 04 May 2021
DetNet: A Backbone network for Object Detection Zeming Li Chao Peng Gang Yu Xiangyu Zhang Yangdong Deng Jian-jun Sun ObjD 84 262 0 17 Apr 2018
Semantic Understanding of Scenes through the ADE20K Dataset Bolei Zhou Hang Zhao Xavier Puig Tete Xiao Sanja Fidler Adela Barriuso Antonio Torralba SSeg 249 1,821 0 18 Aug 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 243 7,620 0 03 Jul 2012