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2310.04467
Cited By
Design Principles for Lifelong Learning AI Accelerators
5 October 2023
Dhireesha Kudithipudi
Anurag Daram
Abdullah M. Zyarah
Fatima Tuz Zohora
J. Aimone
A. Yanguas-Gil
Nicholas Soures
Emre Neftci
M. Mattina
Vincenzo Lomonaco
Clare D. Thiem
Benjamin Epstein
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Papers citing
"Design Principles for Lifelong Learning AI Accelerators"
6 / 6 papers shown
Title
Continual evaluation for lifelong learning: Identifying the stability gap
Matthias De Lange
Gido M. van de Ven
Tinne Tuytelaars
CLL
86
40
0
26 May 2022
Exploring System Performance of Continual Learning for Mobile and Embedded Sensing Applications
Young D. Kwon
Jagmohan Chauhan
Abhishek Kumar
Pan Hui
Cecilia Mascolo
CLL
HAI
19
32
0
25 Oct 2021
In-Hardware Learning of Multilayer Spiking Neural Networks on a Neuromorphic Processor
Amar Shrestha
Haowen Fang
D. Rider
Zaidao Mei
Qinru Qiu
23
24
0
08 May 2021
PLAM: a Posit Logarithm-Approximate Multiplier
Raul Murillo
Alberto A. Del Barrio
Guillermo Botella
Min Soo Kim
Hyunjin Kim
N. Bagherzadeh
TPM
19
25
0
18 Feb 2021
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks
Torsten Hoefler
Dan Alistarh
Tal Ben-Nun
Nikoli Dryden
Alexandra Peste
MQ
136
679
0
31 Jan 2021
Adversarial Continual Learning
Sayna Ebrahimi
Franziska Meier
Roberto Calandra
Trevor Darrell
Marcus Rohrbach
CLL
VLM
147
195
0
21 Mar 2020
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