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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

29 September 2022
Andrea Gesmundo
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Papers citing "A Multiagent Framework for the Asynchronous and Collaborative Extension of Multitask ML Systems"

7 / 7 papers shown
Title
Modular Deep Learning
Modular Deep Learning
Jonas Pfeiffer
Sebastian Ruder
Ivan Vulić
E. Ponti
MoMe
OOD
32
73
0
22 Feb 2023
Multipath agents for modular multitask ML systems
Multipath agents for modular multitask ML systems
Andrea Gesmundo
28
1
0
06 Feb 2023
A Continual Development Methodology for Large-scale Multitask Dynamic ML
  Systems
A Continual Development Methodology for Large-scale Multitask Dynamic ML Systems
Andrea Gesmundo
21
18
0
15 Sep 2022
An Evolutionary Approach to Dynamic Introduction of Tasks in Large-scale
  Multitask Learning Systems
An Evolutionary Approach to Dynamic Introduction of Tasks in Large-scale Multitask Learning Systems
Andrea Gesmundo
J. Dean
31
23
0
25 May 2022
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
243
4,469
0
23 Jan 2020
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
271
5,329
0
05 Nov 2016
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
296
39,198
0
01 Sep 2014
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