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SpaceNet: Make Free Space For Continual Learning

SpaceNet: Make Free Space For Continual Learning

15 July 2020
Ghada Sokar
D. Mocanu
Mykola Pechenizkiy
    CLL
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Papers citing "SpaceNet: Make Free Space For Continual Learning"

13 / 13 papers shown
Title
Toward industrial use of continual learning : new metrics proposal for
  class incremental learning
Toward industrial use of continual learning : new metrics proposal for class incremental learning
Mohamed Abbas Konaté
A. Yao
T. Chateau
P. Bouges
CLL
24
0
0
10 Apr 2024
PAGE: Domain-Incremental Adaptation with Past-Agnostic Generative Replay
  for Smart Healthcare
PAGE: Domain-Incremental Adaptation with Past-Agnostic Generative Replay for Smart Healthcare
Chia-Hao Li
N. Jha
MedIm
35
0
0
13 Mar 2024
Elephant Neural Networks: Born to Be a Continual Learner
Elephant Neural Networks: Born to Be a Continual Learner
Qingfeng Lan
A. R. Mahmood
CLL
42
9
0
02 Oct 2023
Cost-effective On-device Continual Learning over Memory Hierarchy with
  Miro
Cost-effective On-device Continual Learning over Memory Hierarchy with Miro
Xinyue Ma
Suyeon Jeong
Minjia Zhang
Di Wang
Jonghyun Choi
Myeongjae Jeon
CLL
16
13
0
11 Aug 2023
SHARP: Sparsity and Hidden Activation RePlay for Neuro-Inspired
  Continual Learning
SHARP: Sparsity and Hidden Activation RePlay for Neuro-Inspired Continual Learning
Mustafa Burak Gurbuz
J. M. Moorman
Constantinos Dovrolis
CLL
24
0
0
29 May 2023
Continual Graph Learning: A Survey
Continual Graph Learning: A Survey
Qiao Yuan
S. Guan
Pin Ni
Tianlun Luo
Ka Lok Man
Prudence W. H. Wong
Victor I. Chang
CLL
24
14
0
28 Jan 2023
Cooperative data-driven modeling
Cooperative data-driven modeling
Aleksandr Dekhovich
O. T. Turan
Jiaxiang Yi
Miguel A. Bessa
CLL
KELM
AI4CE
19
5
0
23 Nov 2022
Continual Prune-and-Select: Class-incremental learning with specialized
  subnetworks
Continual Prune-and-Select: Class-incremental learning with specialized subnetworks
Aleksandr Dekhovich
David Tax
M. Sluiter
Miguel A. Bessa
CLL
21
20
0
09 Aug 2022
Avoiding Forgetting and Allowing Forward Transfer in Continual Learning
  via Sparse Networks
Avoiding Forgetting and Allowing Forward Transfer in Continual Learning via Sparse Networks
Ghada Sokar
D. Mocanu
Mykola Pechenizkiy
CLL
32
8
0
11 Oct 2021
Powerpropagation: A sparsity inducing weight reparameterisation
Powerpropagation: A sparsity inducing weight reparameterisation
Jonathan Richard Schwarz
Siddhant M. Jayakumar
Razvan Pascanu
P. Latham
Yee Whye Teh
90
54
0
01 Oct 2021
Deep Ensembling with No Overhead for either Training or Testing: The
  All-Round Blessings of Dynamic Sparsity
Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity
Shiwei Liu
Tianlong Chen
Zahra Atashgahi
Xiaohan Chen
Ghada Sokar
Elena Mocanu
Mykola Pechenizkiy
Zhangyang Wang
D. Mocanu
OOD
28
49
0
28 Jun 2021
Class-Incremental Experience Replay for Continual Learning under Concept
  Drift
Class-Incremental Experience Replay for Continual Learning under Concept Drift
Lukasz Korycki
Bartosz Krawczyk
8
31
0
24 Apr 2021
Sparse Training Theory for Scalable and Efficient Agents
Sparse Training Theory for Scalable and Efficient Agents
D. Mocanu
Elena Mocanu
T. Pinto
Selima Curci
Phuong H. Nguyen
M. Gibescu
D. Ernst
Z. Vale
45
17
0
02 Mar 2021
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