Jungkyu Lee

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All published works

Action	Title	Year	Authors
+	Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network	2020	Jungkyu Lee Taeryun Won Tae Kwan Lee Hyemin Lee Geonmo Gu Kiho Hong

Common Coauthors

Coauthor	Papers Together
Kiho Hong	1
Taeryun Won	1
Tae Kwan Lee	1
Hyemin Lee	1
Geonmo Gu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Distilling the Knowledge in a Neural Network	2015	Geoffrey E. Hinton Oriol Vinyals Jay B. Dean	1
+	Fine-Grained Visual Classification of Aircraft	2013	Subhransu Maji Esa Rahtu Juho Kannala Matthew B. Blaschko Andrea Vedaldi	1
+ PDF Chat	Going deeper with convolutions	2015	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	1
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+	TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems	2016	Martı́n Abadi Ashish Agarwal Paul Barham Eugene Brevdo Zhifeng Chen Craig Citro Gregory S. Corrado Andy Davis Jay B. Dean Matthieu Devin	1
+	SGDR: Stochastic Gradient Descent with Warm Restarts	2016	Ilya Loshchilov Frank Hutter	1
+	MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications	2017	Andrew Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand Marco Andreetto Hartwig Adam	1
+	Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour	2017	Priya Goyal Piotr Dollár Ross Girshick Pieter Noordhuis Lukasz Wesolowski Aapo Kyrola Andrew Tulloch Yangqing Jia Kaiming He	1
+	Mixed Precision Training	2017	Paulius Micikevicius Sharan Narang Jonah Alben Gregory Diamos Erich Elsen David García Boris Ginsburg Michael Houston Oleksii Kuchaiev Ganesh Venkatesh	1
+	mixup: Beyond Empirical Risk Minimization	2017	Hongyi Zhang Moustapha Cissé Yann Dauphin David López-Paz	1
+	AutoAugment: Learning Augmentation Policies from Data	2018	Ekin D. Cubuk Barret Zoph Dandelion Mané Vijay Vasudevan Quoc V. Le	1
+ PDF Chat	Do Better ImageNet Models Transfer Better?	2019	Simon Kornblith Jonathon Shlens Quoc V. Le	1
+ PDF Chat	Selective Kernel Networks	2019	Xiang Li Wenhai Wang Xiaolin Hu Jian Yang	1
+	EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks	2019	Mingxing Tan Quoc V. Le	1
+ PDF Chat	Deep Metric Learning via Lifted Structured Feature Embedding	2016	Hyun Oh Song Yu Xiang Stefanie Jegelka Silvio Savarese	1
+	Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition	2018	Chun-Fu Chen Quanfu Fan Neil Mallinar Tom Sercu Rogério Feris	1
+ PDF Chat	Squeeze-and-Excitation Networks	2019	Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu	1
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	1
+ PDF Chat	Bag of Tricks for Image Classification with Convolutional Neural Networks	2019	Tong He Zhi Zhang Hang Zhang Zhongyue Zhang Junyuan Xie Mu Li	1
+ PDF Chat	MnasNet: Platform-Aware Neural Architecture Search for Mobile	2019	Mingxing Tan Bo Chen Ruoming Pang Vijay Vasudevan Mark Sandler Andrew Howard Quoc V. Le	1
+ PDF Chat	Learning Transferable Architectures for Scalable Image Recognition	2018	Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le	1
+ PDF Chat	ArcFace: Additive Angular Margin Loss for Deep Face Recognition	2019	Jiankang Deng Jia Guo Niannan Xue Stefanos Zafeiriou	1
+ PDF Chat	Batch DropBlock Network for Person Re-Identification and Beyond	2019	Zuozhuo Dai Mingqiang Chen Xiaodong Gu Siyu Zhu Ping Tan	1
+	GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism	2018	Yanping Huang Youlong Cheng Ankur Bapna Orhan Fırat Mia Xu Chen Dehao Chen HyoukJoong Lee Jiquan Ngiam Quoc V. Le Yonghui Wu	1
+	Adversarial Examples Improve Image Recognition	2019	Cihang Xie Mingxing Tan Boqing Gong Jiang Wang Alan Yuille Quoc V. Le	1
+	Understanding deep learning requires rethinking generalization	2016	Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals	1