ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2306.13586
  4. Cited By
NetBooster: Empowering Tiny Deep Learning By Standing on the Shoulders
  of Deep Giants

NetBooster: Empowering Tiny Deep Learning By Standing on the Shoulders of Deep Giants

23 June 2023
Zhongzhi Yu
Y. Fu
Jiayi Yuan
Haoran You
Yingyan Lin
ArXiv (abs)PDFHTML

Papers citing "NetBooster: Empowering Tiny Deep Learning By Standing on the Shoulders of Deep Giants"

14 / 14 papers shown
Title
DeepReDuce: ReLU Reduction for Fast Private Inference
DeepReDuce: ReLU Reduction for Fast Private Inference
N. Jha
Zahra Ghodsi
S. Garg
Brandon Reagen
77
91
0
02 Mar 2021
RepVGG: Making VGG-style ConvNets Great Again
RepVGG: Making VGG-style ConvNets Great Again
Xiaohan Ding
Xinming Zhang
Ningning Ma
Jungong Han
Guiguang Ding
Jian Sun
284
1,599
0
11 Jan 2021
Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural
  Network Representations Vary with Width and Depth
Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth
Thao Nguyen
M. Raghu
Simon Kornblith
OOD
52
282
0
29 Oct 2020
MCUNet: Tiny Deep Learning on IoT Devices
MCUNet: Tiny Deep Learning on IoT Devices
Ji Lin
Wei-Ming Chen
Chengyue Wu
J. Cohn
Chuang Gan
Song Han
149
491
0
20 Jul 2020
Do Adversarially Robust ImageNet Models Transfer Better?
Do Adversarially Robust ImageNet Models Transfer Better?
Hadi Salman
Andrew Ilyas
Logan Engstrom
Ashish Kapoor
Aleksander Madry
81
425
0
16 Jul 2020
Contrastive Representation Distillation
Contrastive Representation Distillation
Yonglong Tian
Dilip Krishnan
Phillip Isola
151
1,049
0
23 Oct 2019
RandAugment: Practical automated data augmentation with a reduced search
  space
RandAugment: Practical automated data augmentation with a reduced search space
E. D. Cubuk
Barret Zoph
Jonathon Shlens
Quoc V. Le
MQ
241
3,503
0
30 Sep 2019
ProxylessNAS: Direct Neural Architecture Search on Target Task and
  Hardware
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
Han Cai
Ligeng Zhu
Song Han
102
1,874
0
02 Dec 2018
DropBlock: A regularization method for convolutional networks
DropBlock: A regularization method for convolutional networks
Golnaz Ghiasi
Nayeon Lee
Quoc V. Le
112
914
0
30 Oct 2018
AutoAugment: Learning Augmentation Policies from Data
AutoAugment: Learning Augmentation Policies from Data
E. D. Cubuk
Barret Zoph
Dandelion Mané
Vijay Vasudevan
Quoc V. Le
131
1,774
0
24 May 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
186
19,316
0
13 Jan 2018
Learning Efficient Convolutional Networks through Network Slimming
Learning Efficient Convolutional Networks through Network Slimming
Zhuang Liu
Jianguo Li
Zhiqiang Shen
Gao Huang
Shoumeng Yan
Changshui Zhang
125
2,424
0
22 Aug 2017
Rocket Launching: A Universal and Efficient Framework for Training
  Well-performing Light Net
Rocket Launching: A Universal and Efficient Framework for Training Well-performing Light Net
Guorui Zhou
Ying Fan
Runpeng Cui
Weijie Bian
Xiaoqiang Zhu
Kun Gai
71
116
0
14 Aug 2017
DeCAF: A Deep Convolutional Activation Feature for Generic Visual
  Recognition
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
Jeff Donahue
Yangqing Jia
Oriol Vinyals
Judy Hoffman
Ning Zhang
Eric Tzeng
Trevor Darrell
VLMObjD
186
4,951
0
06 Oct 2013
1