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RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference
Neural Information Processing Systems (NeurIPS), 2020
27 February 2020
Oindrila Saha
Aditya Kusupati
H. Simhadri
Manik Varma
Prateek Jain
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Papers citing
"RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference"
23 / 23 papers shown
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Value-Driven Mixed-Precision Quantization for Patch-Based Inference on Microcontrollers
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Jing Xiao
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MCUFormer: Deploying Vision Transformers on Microcontrollers with Limited Memory
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Ziwei Wang
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Yansong Tang
Jie Zhou
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25 Oct 2023
Enabling Resource-efficient AIoT System with Cross-level Optimization: A survey
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27 Sep 2023
Multi-output Headed Ensembles for Product Item Classification
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A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy
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Dun Zeng
Jinglong Luo
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21 Feb 2023
Pex: Memory-efficient Microcontroller Deep Learning through Partial Execution
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Nicholas D. Lane
389
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30 Nov 2022
MinUn: Accurate ML Inference on Microcontrollers
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R. Goli
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Vivek Seshadri
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29 Oct 2022
Enabling ISP-less Low-Power Computer Vision
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
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Zeyu Liu
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Linyu Sun
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11 Oct 2022
Self-Attentive Pooling for Efficient Deep Learning
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Fang Chen
Gourav Datta
Souvik Kundu
Peter A. Beerel
305
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16 Sep 2022
Machine Learning for Microcontroller-Class Hardware: A Review
IEEE Sensors Journal (IEEE Sens. J.), 2022
Swapnil Sayan Saha
S. Sandha
Mani B. Srivastava
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29 May 2022
Matryoshka Representation Learning
Neural Information Processing Systems (NeurIPS), 2022
Aditya Kusupati
Gantavya Bhatt
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Matthew Wallingford
Aditya Sinha
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William Howard-Snyder
Kaifeng Chen
Sham Kakade
Prateek Jain
Ali Farhadi
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26 May 2022
P2M: A Processing-in-Pixel-in-Memory Paradigm for Resource-Constrained TinyML Applications
Scientific Reports (Sci Rep), 2022
Gourav Datta
Souvik Kundu
Zihan Yin
R. T. Lakkireddy
Joe Mathai
A. Jacob
Peter A. Beerel
Akhilesh R. Jaiswal
276
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07 Mar 2022
Improving the Energy Efficiency and Robustness of tinyML Computer Vision using Log-Gradient Input Images
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B. Murmann
266
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04 Mar 2022
Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation
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John Yang
Brandon Smart
Simyung Chang
Fatih Porikli
Nojun Kwak
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201
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MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning
Neural Information Processing Systems (NeurIPS), 2021
Ji Lin
Wei-Ming Chen
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Chuang Gan
Song Han
413
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28 Oct 2021
ConformalLayers: A non-linear sequential neural network with associative layers
SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2021
Zhen Wan
Zhuoyuan Mao
C. N. Vasconcelos
149
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23 Oct 2021
Network Augmentation for Tiny Deep Learning
Han Cai
Chuang Gan
Ji Lin
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317
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17 Oct 2021
SIRNN: A Math Library for Secure RNN Inference
IEEE Symposium on Security and Privacy (IEEE S&P), 2021
Deevashwer Rathee
Mayank Rathee
R. Goli
Divya Gupta
Rahul Sharma
Nishanth Chandran
Aseem Rastogi
252
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Going Deeper Into Face Detection: A Survey
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Ping Luo
Zhe Lin
Kevin W. Bowyer
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288
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Implicit Bias of Linear RNNs
International Conference on Machine Learning (ICML), 2021
M Motavali Emami
Mojtaba Sahraee-Ardakan
Parthe Pandit
S. Rangan
A. Fletcher
223
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19 Jan 2021
TinyTL: Reduce Activations, Not Trainable Parameters for Efficient On-Device Learning
Han Cai
Chuang Gan
Ligeng Zhu
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330
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22 Jul 2020
One Size Does Not Fit All: Multi-Scale, Cascaded RNNs for Radar Classification
Dhrubojyoti Roy
S. Srivastava
Aditya Kusupati
Pranshu Jain
Manik Varma
A. Arora
210
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06 Sep 2019
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