Mahdi Ghorbani

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Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ Very Deep Convolutional Networks for Large-Scale Image Recognition 2014 Karen Simonyan
Andrew Zisserman
1
+ PDF Chat Learning Deconvolution Network for Semantic Segmentation 2015 Hyeonwoo Noh
Seunghoon Hong
Bohyung Han
1
+ Distilling the Knowledge in a Neural Network 2015 Geoffrey E. Hinton
Oriol Vinyals
Jay B. Dean
1
+ PDF Chat Fully convolutional networks for semantic segmentation 2015 Jonathan Long
Evan Shelhamer
Trevor Darrell
1
+ Do Deep Nets Really Need to be Deep? 2013 Jimmy Ba
Rich Caruana
1
+ Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation 2014 Emily Denton
Wojciech Zaremba
Joan Bruna
Yann LeCun
Rob Fergus
1
+ Compressing Neural Networks with the Hashing Trick 2015 Wenlin Chen
James T. Wilson
Stephen Tyree
Kilian Q. Weinberger
Yixin Chen
1
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
1
+ PDF Chat XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks 2016 Mohammad Rastegari
Vicente Ordóñez
Joseph Redmon
Ali Farhadi
1
+ PDF Chat Identity Mappings in Deep Residual Networks 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
1
+ Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1 2016 Matthieu Courbariaux
Itay Hubara
Daniel Soudry
Ran El‐Yaniv
Yoshua Bengio
1
+ SGDR: Stochastic Gradient Descent with Warm Restarts 2016 Ilya Loshchilov
Frank Hutter
1
+ PDF Chat Xception: Deep Learning with Depthwise Separable Convolutions 2017 François Chollet
1
+ PDF Chat Aggregated Residual Transformations for Deep Neural Networks 2017 Saining Xie
Ross Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
1
+ PDF Chat Pyramid Scene Parsing Network 2017 Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
1
+ Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer 2016 Sergey Zagoruyko
Nikos Komodakis
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
+ Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms 2017 Xiao Han
Kashif Rasul
Roland Vollgraf
1
+ Indoor Scene Understanding in 2.5/3D: A Survey. 2018 Muzammal Naseer
Salman Khan
Fatih Porikli
1
+ Light-Weight RefineNet for Real-Time Semantic Segmentation 2018 Vladimir Nekrasov
Chunhua Shen
Ian Reid
1
+ Improving Fast Segmentation With Teacher-student Learning 2018 Jiafeng Xie
Bing Shuai
Jian-Fang Hu
Jingyang Lin
Wei‐Shi Zheng
1
+ KTAN: Knowledge Transfer Adversarial Network 2018 Peiye Liu
Wu Liu
Huadóng Ma
Tao Mei
Mingoo Seok
1
+ EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 2019 Mingxing Tan
Quoc V. Le
1
+ Pruning Filters for Efficient ConvNets 2016 Hao Li
Asim Kadav
Igor Đurđanović
Hanan Samet
Hans Peter Graf
1
+ Learning Structured Sparsity in Deep Neural Networks 2016 Wei Wen
Chunpeng Wu
Yandan Wang
Yiran Chen
Hai Li
1
+ PDF Chat Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference 2018 Benoit Jacob
Skirmantas Kligys
Bo Chen
Menglong Zhu
Matthew F. Tang
Andrew Howard
Hartwig Adam
Dmitry Kalenichenko
1
+ PDF Chat ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices 2018 Xiangyu Zhang
Xinyu Zhou
Mengxiao Lin
Jian Sun
1
+ PDF Chat MEAL: Multi-Model Ensemble via Adversarial Learning 2019 Zhiqiang Shen
Zhankui He
Xiangyang Xue
1
+ PDF Chat Squeeze-and-Excitation Networks 2019 Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
1
+ PDF Chat CondenseNet: An Efficient DenseNet Using Learned Group Convolutions 2018 Gao Huang
Shichen Liu
Laurens van der Maaten
Kilian Q. Weinberger
1
+ PDF Chat Knowledge Distillation with Adversarial Samples Supporting Decision Boundary 2019 Byeongho Heo
Minsik Lee
Sangdoo Yun
Jin Young Choi
1
+ FitNets: Hints for Thin Deep Nets 2014 Adriana Romero
Nicolas Ballas
Samira Ebrahimi Kahou
Antoine Chassang
Carlo Gatta
Yoshua Bengio
1
+ Knowledge Distillation by On-the-Fly Native Ensemble 2018 Lan Xu
Xiatian Zhu
Shaogang Gong
1
+ PDF Chat A survey of deep learning techniques for autonomous driving 2019 Sorin Grigorescu
Bogdan Trăsnea
Tiberiu Cocias
Gigel Măceşanu
1
+ Distilling Pixel-Wise Feature Similarities for Semantic Segmentation 2019 Yuhu Shan
1
+ MSD: Multi-Self-Distillation Learning via Multi-classifiers within Deep Neural Networks 2019 Yunteng Luan
Hanyu Zhao
Zhi Yang
Yafei Dai
1
+ PDF Chat Online Knowledge Distillation with Diverse Peers 2020 Defang Chen
Jian-Ping Mei
Can Wang
Feng Yan
Chun Chen
1
+ PDF Chat Improved Knowledge Distillation via Teacher Assistant 2020 Seyed Iman Mirzadeh
Mehrdad Farajtabar
Ang Li
Nir Levine
Akihiro Matsukawa
Hassan Ghasemzadeh
1
+ Multi-Modal Attention-based Fusion Model for Semantic Segmentation of RGB-Depth Images. 2019 Fahimeh Fooladgar
Shohreh Kasaei
1
+ PDF Chat Lightweight residual densely connected convolutional neural network 2020 Fahimeh Fooladgar
Shohreh Kasaei
1
+ PDF Chat A Survey of Deep Learning Applications to Autonomous Vehicle Control 2020 Sampo Kuutti
Richard Bowden
Yaochu Jin
Phil Barber
Saber Fallah
1
+ PDF Chat BlockQNN: Efficient Block-Wise Neural Network Architecture Generation 2020 Zhao Zhong
Zichen Yang
Boyang Deng
Junjie Yan
Wei Wu
Jing Shao
Cheng‐Lin Liu
1
+ PDF Chat Knowledge Distillation: A Survey 2021 Jianping Gou
Baosheng Yu
Stephen J. Maybank
Dacheng Tao
1
+ PDF Chat Towards scalable dataframe systems 2020 Devin Petersohn
Stephen Macke
Doris Xin
William Ma
Doris Lee
Xiangxi Mo
Joseph E. Gonzalez
Joseph M. Hellerstein
Anthony D. Joseph
Aditya Parameswaran
1
+ SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling 2015 Vijay Badrinarayanan
Ankur Handa
Roberto Cipolla
1