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Online Continual Learning for Embedded Devices

Online Continual Learning for Embedded Devices

21 March 2022
Tyler L. Hayes
Christopher Kanan
    CLL
ArXivPDFHTML

Papers citing "Online Continual Learning for Embedded Devices"

12 / 12 papers shown
Title
Benchmarking Continual Learning from Cognitive Perspectives
Benchmarking Continual Learning from Cognitive Perspectives
Xiaoqian Liu
Junge Zhang
Mingyi Zhang
Peipei Yang
16
0
0
06 Dec 2023
Cost-effective On-device Continual Learning over Memory Hierarchy with
  Miro
Cost-effective On-device Continual Learning over Memory Hierarchy with Miro
Xinyue Ma
Suyeon Jeong
Minjia Zhang
Di Wang
Jonghyun Choi
Myeongjae Jeon
CLL
11
14
0
11 Aug 2023
Few-Shot Open-Set Learning for On-Device Customization of KeyWord
  Spotting Systems
Few-Shot Open-Set Learning for On-Device Customization of KeyWord Spotting Systems
Manuele Rusci
Tinne Tuytelaars
22
5
0
03 Jun 2023
How Efficient Are Today's Continual Learning Algorithms?
How Efficient Are Today's Continual Learning Algorithms?
Md Yousuf Harun
Jhair Gallardo
Tyler L. Hayes
Christopher Kanan
11
22
0
29 Mar 2023
FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning
FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning
Grégoire Petit
Adrian Daniel Popescu
Hugo Schindler
David Picard
Bertrand Delezoide
CLL
14
111
0
23 Nov 2022
Cold Start Streaming Learning for Deep Networks
Cold Start Streaming Learning for Deep Networks
Cameron R. Wolfe
Anastasios Kyrillidis
CLL
12
2
0
09 Nov 2022
A Comparative Study of Calibration Methods for Imbalanced Class
  Incremental Learning
A Comparative Study of Calibration Methods for Imbalanced Class Incremental Learning
Umang Aggarwal
Adrian Daniel Popescu
Eden Belouadah
C´eline Hudelot
CLL
4
4
0
01 Feb 2022
SEED: Self-supervised Distillation For Visual Representation
SEED: Self-supervised Distillation For Visual Representation
Zhiyuan Fang
Jianfeng Wang
Lijuan Wang
Lei Zhang
Yezhou Yang
Zicheng Liu
SSL
231
190
0
12 Jan 2021
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile
  Applications
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications
Tien-Ju Yang
Andrew G. Howard
Bo Chen
Xiao Zhang
Alec Go
Mark Sandler
Vivienne Sze
Hartwig Adam
88
513
0
09 Apr 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
948
20,471
0
17 Apr 2017
Incremental Network Quantization: Towards Lossless CNNs with
  Low-Precision Weights
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
Aojun Zhou
Anbang Yao
Yiwen Guo
Lin Xu
Yurong Chen
MQ
302
1,046
0
10 Feb 2017
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,319
0
05 Nov 2016
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