Towards Dropout Training for Convolutional Neural Networks

Towards Dropout Training for Convolutional Neural Networks

1 December 2015

Xiaodong Gu

Papers citing "Towards Dropout Training for Convolutional Neural Networks"

18 / 18 papers shown

Title
Provably-Stable Neural Network-Based Control of Nonlinear Systems Anran Li John P. Swensen Mehdi Hosseinzadeh 37 2 0 01 Feb 2025
Tail-Learning: Adaptive Learning Method for Mitigating Tail Latency in Autonomous Edge Systems Cheng Zhang Yinuo Deng Hailiang Zhao Tianlv Chen Shuiguang Deng 28 1 0 28 Dec 2023
Information Geometry of Dropout Training Masanari Kimura H. Hino 24 2 0 22 Jun 2022
A Survey on Dropout Methods and Experimental Verification in Recommendation Yong Li Weizhi Ma C. L. Philip Chen Hao Fei Yiqun Liu Shaoping Ma Yue Yang 33 9 0 05 Apr 2022
Exploration of Various Deep Learning Models for Increased Accuracy in Automatic Polyp Detection Ariel E. Isidro Arnel C. Fajardo Alexander A. Hernandez MedIm 21 0 0 04 Mar 2022
R-Drop: Regularized Dropout for Neural Networks Xiaobo Liang Lijun Wu Juntao Li Yue Wang Qi Meng Tao Qin Wei Chen Hao Fei Tie-Yan Liu 47 424 0 28 Jun 2021
Towards Better Forecasting by Fusing Near and Distant Future Visions Jiezhu Cheng Kaizhu Huang Zibin Zheng AI4TS 19 50 0 11 Dec 2019
An Efficient Hardware-Oriented Dropout Algorithm Y. J. Yeoh Takashi Morie H. Tamukoh 13 2 0 14 Nov 2019
Probabilistic framework for solving Visual Dialog Badri N. Patro Anupriy Vinay P. Namboodiri BDL 30 13 0 11 Sep 2019
A Deep Learning Framework for Classification of in vitro Multi-Electrode Array Recordings Yun Zhao Elmer Guzman M. Audouard Zhuowei Cheng P. Hansma K. Kosik Linda R. Petzold 18 0 0 05 Jun 2019
Survey of Dropout Methods for Deep Neural Networks Alex Labach Hojjat Salehinejad S. Valaee 27 149 0 25 Apr 2019
CNN-Based Deep Architecture for Reinforced Concrete Delamination Segmentation Through Thermography Chongsheng Cheng Zhexiong Shang Zhigang Shen 22 11 0 11 Apr 2019
RePr: Improved Training of Convolutional Filters Aaditya (Adi) Prakash J. Storer D. Florêncio Cha Zhang VLM CVBM 35 57 0 18 Nov 2018
Speeding up the Hyperparameter Optimization of Deep Convolutional Neural Networks Tobias Hinz Nicolás Navarro-Guerrero S. Magg S. Wermter 27 104 0 19 Jul 2018
Excitation Dropout: Encouraging Plasticity in Deep Neural Networks Andrea Zunino Sarah Adel Bargal Pietro Morerio Jianming Zhang Stan Sclaroff Vittorio Murino 21 23 0 23 May 2018
Curriculum Dropout Pietro Morerio Jacopo Cavazza Riccardo Volpi René Vidal Vittorio Murino ODL 28 101 0 18 Mar 2017
Improving Neural Network Generalization by Combining Parallel Circuits with Dropout Kien Tuong Phan Tomas Henrique Maul T. Vu W. Lai AI4CE ODL 12 6 0 15 Dec 2016
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,638 0 03 Jul 2012