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Design Principles for Lifelong Learning AI Accelerators

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
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
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
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
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
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
Adversarial Continual Learning
Sayna Ebrahimi
Franziska Meier
Roberto Calandra
Trevor Darrell
Marcus Rohrbach
CLL
VLM
143
195
0
21 Mar 2020
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