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Continual Learning in Deep Networks: an Analysis of the Last Layer

Continual Learning in Deep Networks: an Analysis of the Last Layer

3 June 2021
Timothée Lesort
Thomas George
Irina Rish
    KELM
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Papers citing "Continual Learning in Deep Networks: an Analysis of the Last Layer"

5 / 5 papers shown
Title
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
Causes of Catastrophic Forgetting in Class-Incremental Semantic
  Segmentation
Causes of Catastrophic Forgetting in Class-Incremental Semantic Segmentation
Tobias Kalb
Jürgen Beyerer
CLL
25
8
0
16 Sep 2022
Constrained Few-shot Class-incremental Learning
Constrained Few-shot Class-incremental Learning
Michael Hersche
G. Karunaratne
G. Cherubini
Luca Benini
A. Sebastian
Abbas Rahimi
CLL
24
141
0
30 Mar 2022
Energy-Based Models for Continual Learning
Energy-Based Models for Continual Learning
Shuang Li
Yilun Du
Gido M. van de Ven
Igor Mordatch
27
42
0
24 Nov 2020
Decoupling Representation Learning from Reinforcement Learning
Decoupling Representation Learning from Reinforcement Learning
Adam Stooke
Kimin Lee
Pieter Abbeel
Michael Laskin
SSL
DRL
284
341
0
14 Sep 2020
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