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Optimizing Reusable Knowledge for Continual Learning via Metalearning

Optimizing Reusable Knowledge for Continual Learning via Metalearning

9 June 2021
J. Hurtado
Alain Raymond-Sáez
Alvaro Soto
    CLL
ArXivPDFHTML

Papers citing "Optimizing Reusable Knowledge for Continual Learning via Metalearning"

10 / 10 papers shown
Title
Divide and not forget: Ensemble of selectively trained experts in
  Continual Learning
Divide and not forget: Ensemble of selectively trained experts in Continual Learning
Grzegorz Rype'sć
Sebastian Cygert
Valeriya Khan
Tomasz Trzciñski
Bartosz Zieliñski
Bartlomiej Twardowski
CLL
26
28
0
18 Jan 2024
Constructing Organism Networks from Collaborative Self-Replicators
Constructing Organism Networks from Collaborative Self-Replicators
Steffen Illium
Maximilian Zorn
Cristian Lenta
Michael Kolle
Claudia Linnhoff-Popien
Thomas Gabor
11
0
0
20 Dec 2022
PIVOT: Prompting for Video Continual Learning
PIVOT: Prompting for Video Continual Learning
Andrés Villa
Juan Carlos León Alcázar
Motasem Alfarra
Kumail Alhamoud
J. Hurtado
Fabian Caba Heilbron
Alvaro Soto
Bernard Ghanem
VLM
CLL
40
45
0
09 Dec 2022
Incremental Task Learning with Incremental Rank Updates
Incremental Task Learning with Incremental Rank Updates
Rakib Hyder
Ken Shao
Boyu Hou
P. Markopoulos
Ashley Prater-Bennette
M. Salman Asif
CLL
16
13
0
19 Jul 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on
  Continual Learning and Functional Composition
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition
Jorge Armando Mendez Mendez
Eric Eaton
KELM
CLL
29
27
0
15 Jul 2022
Recent Advances of Continual Learning in Computer Vision: An Overview
Recent Advances of Continual Learning in Computer Vision: An Overview
Haoxuan Qu
Hossein Rahmani
Li Xu
Bryan M. Williams
Jun Liu
VLM
CLL
25
73
0
23 Sep 2021
Adversarial Continual Learning
Adversarial Continual Learning
Sayna Ebrahimi
Franziska Meier
Roberto Calandra
Trevor Darrell
Marcus Rohrbach
CLL
VLM
152
198
0
21 Mar 2020
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness
  of MAML
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
Aniruddh Raghu
M. Raghu
Samy Bengio
Oriol Vinyals
177
639
0
19 Sep 2019
Selfless Sequential Learning
Selfless Sequential Learning
Rahaf Aljundi
Marcus Rohrbach
Tinne Tuytelaars
CLL
28
114
0
14 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
329
11,684
0
09 Mar 2017
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