MnasNet: Platform-Aware Neural Architecture Search for Mobile

31 July 2018

Mingxing Tan

Papers citing "MnasNet: Platform-Aware Neural Architecture Search for Mobile"

50 / 502 papers shown

Title
Lightweight Monocular Depth with a Novel Neural Architecture Search Method Lam Huynh Phong H. Nguyen Jirí Matas Esa Rahtu J. Heikkilä 29 10 0 25 Aug 2021
Monocular Depth Estimation Primed by Salient Point Detection and Normalized Hessian Loss Lam Huynh Matteo Pedone Phong H. Nguyen Jirí Matas Esa Rahtu J. Heikkilä MDE 3DPC 18 3 0 25 Aug 2021
iDARTS: Improving DARTS by Node Normalization and Decorrelation Discretization Huiqun Wang Ruijie Yang Di Huang Yunhong Wang 16 27 0 25 Aug 2021
Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search Zheng Zhan Yifan Gong Pu Zhao Geng Yuan Wei Niu ... Malith Jayaweera David Kaeli Bin Ren Xue Lin Yanzhi Wang SupR 29 41 0 18 Aug 2021
FOX-NAS: Fast, On-device and Explainable Neural Architecture Search Chia-Hsiang Liu Yu-Shin Han Yuan-Yao Sung Yi Lee Hung-Yueh Chiang Kai-Chiang Wu 17 11 0 14 Aug 2021
perf4sight: A toolflow to model CNN training performance on Edge GPUs A. Rajagopal C. Bouganis 21 7 0 12 Aug 2021
Transductive Few-Shot Classification on the Oblique Manifold Guodong Qi Huimin Yu Zhaohui Lu Shuzhao Li 19 45 0 09 Aug 2021
Learning to Rank Ace Neural Architectures via Normalized Discounted Cumulative Gain Yuge Zhang Quan Zhang Li Lyna Zhang Yaming Yang Chenqian Yan Xiaotian Gao Yuqing Yang 33 0 0 06 Aug 2021
FLASH: Fast Neural Architecture Search with Hardware Optimization Guihong Li Sumit K. Mandal Ümit Y. Ogras R. Marculescu 27 20 0 01 Aug 2021
Rethinking Hard-Parameter Sharing in Multi-Domain Learning Lijun Zhang Qizheng Yang Xiao Liu Hui Guan OOD 28 14 0 23 Jul 2021
Bias Loss for Mobile Neural Networks L. Abrahamyan Valentin Ziatchin Yiming Chen Nikos Deligiannis 15 14 0 23 Jul 2021
AutoFormer: Searching Transformers for Visual Recognition Minghao Chen Houwen Peng Jianlong Fu Haibin Ling ViT 36 259 0 01 Jul 2021
Mitigating severe over-parameterization in deep convolutional neural networks through forced feature abstraction and compression with an entropy-based heuristic Nidhi Gowdra R. Sinha Stephen G. MacDonell W. Yan 21 9 0 27 Jun 2021
Automated Evolutionary Approach for the Design of Composite Machine Learning Pipelines Nikolay O. Nikitin Pavel Vychuzhanin M. Sarafanov Iana S. Polonskaia I. Revin Irina V. Barabanova G. Maximov Anna V. Kaluzhnaya A. Boukhanovsky 21 55 0 26 Jun 2021
Multi-objective Asynchronous Successive Halving Robin Schmucker Michele Donini Muhammad Bilal Zafar David Salinas Cédric Archambeau 32 23 0 23 Jun 2021
NAX: Co-Designing Neural Network and Hardware Architecture for Memristive Xbar based Computing Systems Shubham Negi I. Chakraborty Aayush Ankit Kaushik Roy 17 6 0 23 Jun 2021
BFTrainer: Low-Cost Training of Neural Networks on Unfillable Supercomputer Nodes Zhengchun Liu R. Kettimuthu M. Papka Ian Foster 31 3 0 22 Jun 2021
P2T: Pyramid Pooling Transformer for Scene Understanding Yu-Huan Wu Yun-Hai Liu Xin Zhan Mingg-Ming Cheng ViT 29 219 0 22 Jun 2021
Active Learning for Deep Neural Networks on Edge Devices Yuya Senzaki Christian Hamelain 26 7 0 21 Jun 2021
Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better Gaurav Menghani VLM MedIm 23 366 0 16 Jun 2021
HELP: Hardware-Adaptive Efficient Latency Prediction for NAS via Meta-Learning Hayeon Lee Sewoong Lee Song Chong Sung Ju Hwang 18 26 0 16 Jun 2021
BoolNet: Minimizing The Energy Consumption of Binary Neural Networks Nianhui Guo Joseph Bethge Haojin Yang Kai Zhong Xuefei Ning Christoph Meinel Yu Wang MQ 24 11 0 13 Jun 2021
Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators Yonggan Fu Yongan Zhang Yang Zhang David D. Cox Yingyan Lin MQ 55 17 0 11 Jun 2021
A multi-objective perspective on jointly tuning hardware and hyperparameters David Salinas Valerio Perrone Olivier Cruchant Cédric Archambeau 29 13 0 10 Jun 2021
CoAtNet: Marrying Convolution and Attention for All Data Sizes Zihang Dai Hanxiao Liu Quoc V. Le Mingxing Tan ViT 49 1,167 0 09 Jun 2021
The Care Label Concept: A Certification Suite for Trustworthy and Resource-Aware Machine Learning K. Morik Helena Kotthaus Lukas Heppe Danny Heinrich Raphael Fischer Andrea Pauly Nico Piatkowski 23 4 0 01 Jun 2021
KVT: k-NN Attention for Boosting Vision Transformers Pichao Wang Xue Wang F. Wang Ming Lin Shuning Chang Hao Li R. L. Jin ViT 51 105 0 28 May 2021
FNAS: Uncertainty-Aware Fast Neural Architecture Search Jihao Liu Ming Zhang Yangting Sun B. Liu Guanglu Song Yu Liu Hongsheng Li 30 7 0 25 May 2021
ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search Lumin Xu Yingda Guan Sheng Jin Wentao Liu Chao Qian Ping Luo Wanli Ouyang Xiaogang Wang 31 52 0 21 May 2021
Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report Andrey D. Ignatov Grigory Malivenko Radu Timofte Sheng Chen Xin Xia ... K. Lyda L. Khojoyan Abhishek Thanki Sayak Paul Shahid Siddiqui MQ 21 20 0 17 May 2021
Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI 2021 Challenge: Report Andrey D. Ignatov Kim Byeoung-su Radu Timofte Angeline Pouget Fenglong Song ... Lei Lei Chaoyu Feng L. Huang Z. Lei Feifei Chen 22 30 0 17 May 2021
MutualNet: Adaptive ConvNet via Mutual Learning from Different Model Configurations Taojiannan Yang Sijie Zhu Matías Mendieta Pu Wang Ravikumar Balakrishnan Minwoo Lee T. Han M. Shah Cheng Chen 3DH OOD 28 22 0 14 May 2021
Lightweight compression of neural network feature tensors for collaborative intelligence R. Cohen Hyomin Choi Ivan V. Bajić 22 42 0 12 May 2021
Primitive Representation Learning for Scene Text Recognition Ruijie Yan Liangrui Peng Shanyu Xiao Gang Yao 29 66 0 10 May 2021
Dynamic-OFA: Runtime DNN Architecture Switching for Performance Scaling on Heterogeneous Embedded Platforms W. Lou Lei Xun Amin Sabet Jia Bi Jonathon S. Hare G. Merrett AI4CE 28 28 0 08 May 2021
BasisNet: Two-stage Model Synthesis for Efficient Inference Mingda Zhang Chun-Te Chu A. Zhmoginov Andrew G. Howard Brendan Jou Yukun Zhu Li Zhang R. Hwa Adriana Kovashka 3DH 31 7 0 07 May 2021
Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization Julia Guerrero-Viu Sven Hauns Sergio Izquierdo Guilherme Miotto Simon Schrodi André Biedenkapp T. Elsken Difan Deng Marius Lindauer Frank Hutter AI4CE 17 25 0 03 May 2021
AttendSeg: A Tiny Attention Condenser Neural Network for Semantic Segmentation on the Edge Xiaoyue Wen M. Famouri Andrew Hryniowski Alexander Wong SSeg 13 7 0 29 Apr 2021
One Backward from Ten Forward, Subsampling for Large-Scale Deep Learning Chaosheng Dong Xiaojie Jin Weihao Gao Yijia Wang Hongyi Zhang Xiang Wu Jianchao Yang Xiaobing Liu 28 5 0 27 Apr 2021
HAO: Hardware-aware neural Architecture Optimization for Efficient Inference Zhen Dong Yizhao Gao Qijing Huang J. Wawrzynek Hayden Kwok-Hay So Kurt Keutzer 19 34 0 26 Apr 2021
CompOFA: Compound Once-For-All Networks for Faster Multi-Platform Deployment Manas Sahni S. Varshini Alind Khare Alexey Tumanov 15 31 0 26 Apr 2021
A Survey of Modern Deep Learning based Object Detection Models Syed Sahil Abbas Zaidi M. S. Ansari Asra Aslam N. Kanwal M. Asghar Brian Lee VLM ObjD 67 728 0 24 Apr 2021
Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks Jianxin Li Hao Peng Yuwei Cao Yingtong Dou Hekai Zhang Philip S. Yu Lifang He 22 79 0 16 Apr 2021
End-to-end Keyword Spotting using Neural Architecture Search and Quantization David Peter Wolfgang Roth Franz Pernkopf MQ 22 14 0 14 Apr 2021
CondenseNet V2: Sparse Feature Reactivation for Deep Networks Le Yang Haojun Jiang Ruojin Cai Yulin Wang Shiji Song Gao Huang Qi Tian DD 25 64 0 09 Apr 2021
Searching Efficient Model-guided Deep Network for Image Denoising Qiang Ning W. Dong Xin Li Jinjian Wu Leida Li Guangming Shi 33 7 0 06 Apr 2021
Training Multi-bit Quantized and Binarized Networks with A Learnable Symmetric Quantizer Phuoc Pham J. Abraham Jaeyong Chung MQ 37 11 0 01 Apr 2021
OutlierNets: Highly Compact Deep Autoencoder Network Architectures for On-Device Acoustic Anomaly Detection Saad Abbasi M. Famouri M. Shafiee A. Wong 16 25 0 31 Mar 2021
Slimmable Compressive Autoencoders for Practical Neural Image Compression Feiyu Yang Luis Herranz Yongmei Cheng M. Mozerov 31 65 0 29 Mar 2021
Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Co-design Cong Hao Jordan Dotzel Jinjun Xiong Luca Benini Zhiru Zhang Deming Chen 58 34 0 25 Mar 2021