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From MNIST to ImageNet and Back: Benchmarking Continual Curriculum
  Learning

From MNIST to ImageNet and Back: Benchmarking Continual Curriculum Learning

16 March 2023
Kamil Faber
Dominik Zurek
Marcin Pietroñ
Nathalie Japkowicz
Antonio Vergari
Roberto Corizzo
    CLL
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Papers citing "From MNIST to ImageNet and Back: Benchmarking Continual Curriculum Learning"

4 / 4 papers shown
Title
Revisiting Catastrophic Forgetting in Large Language Model Tuning
Revisiting Catastrophic Forgetting in Large Language Model Tuning
Hongyu Li
Liang Ding
Meng Fang
Dacheng Tao
CLL
KELM
50
16
0
07 Jun 2024
Data Distribution-based Curriculum Learning
Data Distribution-based Curriculum Learning
Shonal Chaudhry
Anuraganand Sharma
21
1
0
12 Feb 2024
Is Class-Incremental Enough for Continual Learning?
Is Class-Incremental Enough for Continual Learning?
Andrea Cossu
G. Graffieti
Lorenzo Pellegrini
Davide Maltoni
D. Bacciu
Antonio Carta
Vincenzo Lomonaco
CLL
40
30
0
06 Dec 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
1