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An Evolutionary Approach to Dynamic Introduction of Tasks in Large-scale
  Multitask Learning Systems
v1v2v3v4v5v6 (latest)

An Evolutionary Approach to Dynamic Introduction of Tasks in Large-scale Multitask Learning Systems

25 May 2022
Andrea Gesmundo
J. Dean
ArXiv (abs)PDFHTML

Papers citing "An Evolutionary Approach to Dynamic Introduction of Tasks in Large-scale Multitask Learning Systems"

6 / 6 papers shown
Title
Efficient Global Neural Architecture Search
Efficient Global Neural Architecture Search
Shahid Siddiqui
C. Kyrkou
T. Theocharides
93
0
0
05 Feb 2025
Modular Deep Learning
Modular Deep Learning
Jonas Pfeiffer
Sebastian Ruder
Ivan Vulić
Edoardo Ponti
MoMeOOD
159
80
0
22 Feb 2023
Scaling & Shifting Your Features: A New Baseline for Efficient Model
  Tuning
Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning
Dongze Lian
Daquan Zhou
Jiashi Feng
Xinchao Wang
120
264
0
17 Oct 2022
A Multiagent Framework for the Asynchronous and Collaborative Extension
  of Multitask ML Systems
A Multiagent Framework for the Asynchronous and Collaborative Extension of Multitask ML Systems
Andrea Gesmundo
104
2
0
29 Sep 2022
A Continual Development Methodology for Large-scale Multitask Dynamic ML
  Systems
A Continual Development Methodology for Large-scale Multitask Dynamic ML Systems
Andrea Gesmundo
61
18
0
15 Sep 2022
WaveMix: A Resource-efficient Neural Network for Image Analysis
WaveMix: A Resource-efficient Neural Network for Image Analysis
Pranav Jeevan
Kavitha Viswanathan
S. AnanduA
A. Sethi
109
21
0
28 May 2022
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