Jinwoo Son

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All published works

Action	Title	Year	Authors
+ PDF Chat	Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss	2019	Sangil Jung Changyong Son Seohyung Lee Jinwoo Son Jae‐Joon Han Youngjun Kwak Sung Ju Hwang Changkyu Choi
+	Joint Training of Low-Precision Neural Network with Quantization Interval Parameters	2018	Sangil Jung Changyong Son Seohyung Lee Jinwoo Son Youngjun Kwak Jae‐Joon Han Changkyu Choi
+	Learning to Quantize Deep Networks by Optimizing Quantization Intervals with Task Loss	2018	Sangil Jung Changyong Son Seohyung Lee Jinwoo Son Youngjun Kwak Jae‐Joon Han Sung Ju Hwang Changkyu Choi
+	Learning to Quantize Deep Networks by Optimizing Quantization Intervals with Task Loss	2018	Sangil Jung Changyong Son Seohyung Lee Jinwoo Son Youngjun Kwak Jae-Joon Han Sung Ju Hwang Changkyu Choi

Common Coauthors

Coauthor	Papers Together
Youngjun Kwak	4
Changkyu Choi	4
Seohyung Lee	4
Changyong Son	4
Sangil Jung	4
Jae‐Joon Han	3
Sung Ju Hwang	3
Jae-Joon Han	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	3
+ PDF Chat	Identity Mappings in Deep Residual Networks	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	3
+ 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	3
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	3
+	DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients	2016	Shuchang Zhou Yuxin Wu Zekun Ni Xinyu Zhou He Wen Yuheng Zou	2
+	Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Embedded Inference	2018	Jeffrey L. McKinstry Steven K. Esser Rathinakumar Appuswamy Deepika Bablani John V. Arthur Izzet B. Yildiz Dharmendra S. Modha	2
+	Towards Accurate Binary Convolutional Neural Network	2017	Xiaofan Lin Cong Zhao Wei Pan	2
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	2
+	Trained Ternary Quantization	2016	Chenzhuo Zhu Song Han Huizi Mao William J. Dally	2
+ PDF Chat	Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation	2014	Ross Girshick Jeff Donahue Trevor Darrell Jitendra Malik	2
+	Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation	2013	Yoshua Bengio Nicholas Léonard Aaron Courville	2
+	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	2
+ PDF Chat	SYQ: Learning Symmetric Quantization for Efficient Deep Neural Networks	2018	Julian Faraone Nicholas J. Fraser Michaela Blott Philip H. W. Leong	2
+	Training and Inference with Integers in Deep Neural Networks	2018	Shuang Wu Guoqi Li Feng Chen Luping Shi	2
+	Bayesian Compression for Deep Learning	2017	Christos Louizos Karen Ullrich Max Welling	2
+	SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size	2016	Forrest Iandola Song Han Matthew W. Moskewicz Khalid Ashraf William J. Dally Kurt Keutzer	2
+	PACT: Parameterized Clipping Activation for Quantized Neural Networks	2018	Jungwook Choi Zhuo Wang Swagath Venkataramani Pierce Chuang Vijayalakshmi Srinivasan Kailash Gopalakrishnan	2
+	Ternary Weight Networks	2016	Fengfu Li Bin Liu	2
+ PDF Chat	Towards Effective Low-Bitwidth Convolutional Neural Networks	2018	Bohan Zhuang Chunhua Shen Mingkui Tan Lingqiao Liu Ian Reid	1
+	Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Embedded Inference	2018	Jeffrey L. McKinstry Steven K. Esser Rathinakumar Appuswamy Deepika Bablani Popli John V. Arthur Izzet B. Yildiz Dharmendra S. Modha	1
+	Binarized Neural Networks	2016	Itay Hubara Daniel Soudry Ran El Yaniv	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
+ PDF Chat	Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks	2016	Shaoqing Ren Kaiming He Ross Girshick Jian Sun	1
+	Distilling the Knowledge in a Neural Network	2015	Geoffrey E. Hinton Oriol Vinyals Jay B. Dean	1
+	Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding	2015	Song Han Huizi Mao William J. Dally	1
+ PDF Chat	XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks	2016	Mohammad Rastegari Vicente Ordóñez Joseph Redmon Ali Farhadi	1
+	Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations	2016	Itay Hubara Matthieu Courbariaux Daniel Soudry Ran El‐Yaniv Yoshua Bengio	1
+	Deep Model Compression: Distilling Knowledge from Noisy Teachers	2016	Bharat Bhusan Sau Vineeth N Balasubramanian	1
+ PDF Chat	Deep Learning with Low Precision by Half-Wave Gaussian Quantization	2017	Zhaowei Cai Xiaodong He Jian Sun Nuno Vasconcelos	1
+ PDF Chat	Large Kernel Matters — Improve Semantic Segmentation by Global Convolutional Network	2017	Chao Peng Xiangyu Zhang Gang Yu Guiming Luo Jian Sun	1
+ PDF Chat	Balanced Quantization: An Effective and Efficient Approach to Quantized Neural Networks	2017	Shuchang Zhou Yuzhi Wang He Wen Qinyao He Yuheng Zou	1
+	Towards Effective Low-bitwidth Convolutional Neural Networks	2017	Bohan Zhuang Chunhua Shen Mingkui Tan Lingqiao Liu Ian Reid	1
+	Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy	2017	Asit K. Mishra Debbie Marr	1
+	Model compression via distillation and quantization	2018	Antonio Polino Razvan Pascanu Dan Alistarh	1
+ PDF Chat	LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks	2018	Dongqing Zhang Jiaolong Yang Dongqiangzi Ye Gang Hua	1
+	LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks	2018	Dongqing Zhang Jiaolong Yang Dongqiangzi Ye Gang Hua	1
+	Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations	2016	Itay Hubara Matthieu Courbariaux Daniel Soudry Ran El‐Yaniv Yoshua Bengio	1
+	Deep Learning with Low Precision by Half-wave Gaussian Quantization	2017	Zhaowei Cai Xiaodong He Jian Sun Nuno Vasconcelos	1
+	Fast R-CNN	2015	Ross Girshick	1
+	Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks	2015	Shaoqing Ren Kaiming He Ross Girshick Jian Sun	1