MnasNet: Platform-Aware Neural Architecture Search for Mobile

Keywords

Computer science, Latency (audio), Convolutional neural network, Inference, Mobile device

References

• ImageNet Large Scale Visual Recognition ChallengeOlga Russakovsky, Jia Deng, Hao Su — 2014
• Deep Residual Learning for Image RecognitionKaiming He, Xiangyu Zhang, Shaoqing Ren — 2015
• Inception-v4, Inception-ResNet and the Impact of Residual Connections on LearningChristian Szegedy, Sergey Ioffe, Vincent Vanhoucke — 2016
• SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <1MB model sizeForrest Iandola, Song Han, Matthew W. Moskewicz — 2016
• Designing Neural Network Architectures using Reinforcement LearningBowen Baker, Otkrist Gupta, Nikhil Naik — 2016
• YOLO9000: Better, Faster, StrongerJoseph Redmon, Ali Farhadi — 2016
• MobileNets: Efficient Convolutional Neural Networks for Mobile Vision ApplicationsAndrew Howard, Menglong Zhu, Bo Chen — 2017
• Accurate, Large Minibatch SGD: Training ImageNet in 1 HourPriya Goyal, Piotr Dollár, Ross Girshick — 2017
• Reinforcement Learning for Architecture Search by Network TransformationHan Cai, Tianyao Chen, Weinan Zhang — 2017
• Proximal Policy Optimization AlgorithmsNatan, Avraham, Stern, Roni, Kalech, Meir — 2017
• Learning Transferable Architectures for Scalable Image RecognitionBarret Zoph, Vijay Vasudevan, Jonathon Shlens — 2017
• Squeeze-and-Excitation NetworksJie Hu, Li Shen, Gang Sun — 2017
• Hierarchical Representations for Efficient Architecture SearchHanxiao Liu, Karen Simonyan, Oriol Vinyals — 2017
• CondenseNet: An Efficient DenseNet Using Learned Group ConvolutionsGao Huang, Shichen Liu, Laurens van der Maaten — 2017
• MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep NetworksAriel Gordon, Elad Eban, Ofir Nachum — 2017
• Progressive Neural Architecture SearchChenxi Liu, Barret Zoph, Maxim Neumann — 2017
• Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only InferenceBenoit Jacob, Skirmantas Kligys, Bo Chen — 2017
• Regularized Evolution for Image Classifier Architecture SearchEsteban Real, Alok Aggarwal, Yanping Huang — 2018
• SqueezeNext: Hardware-Aware Neural Network DesignAmir Gholami, Kiseok Kwon, Bichen Wu — 2018
• MobileNetV2: Inverted Residuals and Linear BottlenecksMark Sandler, Andrew Howard, Menglong Zhu — 2018

Cited by

• Squeeze-and-Excitation NetworksJie Hu, Li Shen, Gang Sun — 2017
• A Survey of FPGA-Based Neural Network AcceleratorKaiyuan Guo, Shulin Zeng, Jincheng Yu — 2017
• Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy OptimizationXiangxiang Chu — 2018
• Searching Toward Pareto-Optimal Device-Aware Neural ArchitecturesAn‐Chieh Cheng, Jin‐Dong Dong, Chi-Hung Hsu — 2018
• Hardware-Aware Machine Learning: Modeling and OptimizationDiana Marculescu, Dimitrios Stamoulis, Ermao Cai — 2018
• Recent Advances in Object Detection in the Age of Deep Convolutional Neural NetworksShivang Agarwal, Jean Ogier du Terrail, Frédéric Jurie — 2018
• Layer-compensated Pruning for Resource-constrained Convolutional Neural NetworksTing-Wu Chin, Cha Zhang, Diana Marculescu — 2018
• FLOPs as a Direct Optimization Objective for Learning Sparse Neural NetworksRaphael Tang, Ashutosh Adhikari, Jimmy Lin — 2018
• Evolutionary-Neural Hybrid Agents for Architecture SearchKrzysztof Maziarz, Tan, Mingxing, Andrey Khorlin — 2018
• Learning to infer: RL-based search for DNN primitive selection on Heterogeneous Embedded SystemsMiguel de Prado, Nuria Pazos, Luca Benini — 2018
• InstaNAS: Instance-aware Neural Architecture SearchAn‐Chieh Cheng, Chieh Hubert Lin, Da-Cheng Juan — 2018
• TSM: Temporal Shift Module for Efficient Video UnderstandingJi Lin, Chuang Gan, Song Han — 2018
• TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural NetworksLile Cai, Anne-Maelle Barneche, Arthur Herbout — 2018
• ESPNetv2: A Light-Weight, Power Efficient, and General Purpose Convolutional Neural NetworkSachin Mehta, Mohammad Rastegari, Linda G. Shapiro — 2018
• Evolving Space-Time Neural Architectures for VideosAJ Piergiovanni, Anelia Angelova, Alexander Toshev — 2018
• WaveletNet: Logarithmic Scale Efficient Convolutional Neural Networks for Edge DevicesJing Li, Rumen Dangovski, Marin Soljačić — 2018
• Machine Learning Risk Assessments in Criminal Justice SettingsRichard A. Berk — 2018
• Exploiting Kernel Sparsity and Entropy for Interpretable CNN CompressionYuchao Li, Shaohui Lin, Baochang Zhang — 2018
• An Empirical Analysis of Deep Audio-Visual Models for Speech RecognitionDevesh Walawalkar, Yihui He, Rohit Pillai — 2018
• Learnable Embedding Space for Efficient Neural Architecture CompressionShengcao Cao, Xiaofang Wang, Kris Kitani — 2019

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• MobileNets: Efficient Convolutional Neural Networks for Mobile Vision ApplicationsAndrew Howard, Menglong Zhu, Bo Chen — 2017
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• Learning Multiple Layers of Features from Tiny ImagesAlex Krizhevsky — 2024
• ImageNet classification with deep convolutional neural networksAlex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton — 2012
• Efficient Neural Architecture Search via Parameters SharingHieu Pham, Melody Y. Guan, Barret Zoph — 2018
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