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For the stable optimization of deep neural networks, regularization methods such as dropout and batch normalization have been used in various tasks.
Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories
Li Fei-Fei, Robert Fergus, and Pietro Perona · 2007
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Learning multiple layers of features from tiny images
Alex Krizhevsky · 2009
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Cats and dogs
Omkar M. Parkhi, Andrea Vedaldi, Andrew Zisserman, and C. V. Jawahar · 2012
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Dropout: a simple way to prevent neural networks from overfitting
Nitish Srivastava, Geoffrey E. Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov · 2014
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Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
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Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe and Christian Szegedy · 2015
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Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
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Identifying Style of 3D Shapes using Deep Metric Learning
Isaak Lim, Anne Gehre, and Leif Kobbelt · 2016
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Rethinking the Inception Architecture for Computer Vision
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Wide Residual Networks
Sergey Zagoruyko and Nikos Komodakis · 2016
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Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A. Efros · 2017
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PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
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Optimization as a Model for Few-Shot Learning
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Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
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DropBlock: A regularization method for convolutional networks
Golnaz Ghiasi, Tsung-Yi Lin, and Quoc V. Le · 2018
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ERFNet: Efficient Residual Factorized ConvNet for Real-Time Semantic Segmentation
Eduardo Romera, Jose M. Alvarez, Luis Miguel Bergasa, and Roberto Arroyo · 2018
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MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler, Andrew G. Howard, Menglong Zhu, Andrey Zhmoginov, and Liang-Chieh Chen · 2018
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan and Quoc V. Le · 2019
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MnasNet: Platform-Aware Neural Architecture Search for Mobile
Mingxing Tan, Bo Chen, Ruoming Pang, Vijay Vasudevan, Mark Sandler, Andrew Howard, and Quoc V. Le · 2019
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Batch Normalization Biases Residual Blocks Towards the Identity Function in Deep Networks
Soham De and Samuel L. Smith · 2020
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Offline Handwritten Chinese Text Recognition with Convolutional Neural Networks
Brian Liu, Xianchao Xu, and Yu Zhang · 2020
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Online Deep Clustering for Unsupervised Representation Learning
Xiaohang Zhan, Jiahao Xie, Ziwei Liu, Yew-Soon Ong, and Chen Change Loy · 2020
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Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
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Learning Transferable Architectures for Scalable Image Recognition
Barret Zoph, Vijay Vasudevan, Jonathon Shlens, and Quoc V. Le · 2018
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Effective and Efficient Dropout for Deep Convolutional Neural Networks
Shaofeng Cai, Jinyang Gao, Meihui Zhang, Wei Wang, Gang Chen, and Beng Chin Ooi · 2019
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Understanding the Disharmony Between Dropout and Batch Normalization by Variance Shift
Xiang Li, Shuo Chen, Xiaolin Hu, and Jian Yang · 2019
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3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised Training
Dario Pavllo, Christoph Feichtenhofer, David Grangier, and Michael Auli · 2019
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun
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Irwan Bello, William Fedus, Xianzhi Du, Ekin Dogus Cubuk, Aravind Srinivas, Tsung-Yi Lin, Jonathon Shlens, and Barret Zoph · 2021
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Characterizing signal propagation to close the performance gap in unnormalized ResNets
Andrew Brock, Soham De, and Samuel L. Smith · 2021
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STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for weather forecasting
Rafaela Castro, Yania Molina Souto, Eduardo S. Ogasawara, Fábio Porto, and Eduardo Bezerra · 2021
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AutoDropout: Learning Dropout Patterns to Regularize Deep Networks
Hieu Pham and Quoc V. Le · 2021
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EfficientNetV2: Smaller Models and Faster Training
Mingxing Tan and Quoc V. Le · 2021
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