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The Effect of Task Ordering in Continual Learning

The Effect of Task Ordering in Continual Learning

26 May 2022
Samuel J. Bell
Neil D. Lawrence
    CLL
ArXiv (abs)PDFHTML

Papers citing "The Effect of Task Ordering in Continual Learning"

31 / 31 papers shown
Title
CLDyB: Towards Dynamic Benchmarking for Continual Learning with Pre-trained Models
Shengzhuang Chen
Yikai Liao
Xiaoxiao Sun
Kede Ma
Ying Wei
120
0
0
06 Mar 2025
An Empirical Investigation of the Role of Pre-training in Lifelong
  Learning
An Empirical Investigation of the Role of Pre-training in Lifelong Learning
Sanket Vaibhav Mehta
Darshan Patil
Sarath Chandar
Emma Strubell
CLL
137
144
0
16 Dec 2021
Behavioral Experiments for Understanding Catastrophic Forgetting
Behavioral Experiments for Understanding Catastrophic Forgetting
Samuel J. Bell
Neil D. Lawrence
82
4
0
20 Oct 2021
Continual Learning in the Teacher-Student Setup: Impact of Task
  Similarity
Continual Learning in the Teacher-Student Setup: Impact of Task Similarity
Sebastian Lee
Sebastian Goldt
Andrew M. Saxe
CLL
75
74
0
09 Jul 2021
Deep Learning Through the Lens of Example Difficulty
Deep Learning Through the Lens of Example Difficulty
R. Baldock
Hartmut Maennel
Behnam Neyshabur
85
161
0
17 Jun 2021
When Do Curricula Work?
When Do Curricula Work?
Xiaoxia Wu
Ethan Dyer
Behnam Neyshabur
71
118
0
05 Dec 2020
Estimating Example Difficulty Using Variance of Gradients
Estimating Example Difficulty Using Variance of Gradients
Chirag Agarwal
Daniel D'souza
Sara Hooker
275
111
0
26 Aug 2020
Anatomy of Catastrophic Forgetting: Hidden Representations and Task
  Semantics
Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics
V. Ramasesh
Ethan Dyer
M. Raghu
CLL
103
179
0
14 Jul 2020
Understanding the Role of Training Regimes in Continual Learning
Understanding the Role of Training Regimes in Continual Learning
Seyed Iman Mirzadeh
Mehrdad Farajtabar
Razvan Pascanu
H. Ghasemzadeh
CLL
81
228
0
12 Jun 2020
Learning to Continually Learn
Learning to Continually Learn
Shawn L. E. Beaulieu
Lapo Frati
Thomas Miconi
Joel Lehman
Kenneth O. Stanley
Jeff Clune
Nick Cheney
KELMCLL
87
148
0
21 Feb 2020
Using Hindsight to Anchor Past Knowledge in Continual Learning
Using Hindsight to Anchor Past Knowledge in Continual Learning
Arslan Chaudhry
Albert Gordo
P. Dokania
Philip Torr
David Lopez-Paz
KELMCLL
98
237
0
19 Feb 2020
Toward Understanding Catastrophic Forgetting in Continual Learning
Toward Understanding Catastrophic Forgetting in Continual Learning
Cuong V Nguyen
Alessandro Achille
Michael Lam
Tal Hassner
Vijay Mahadevan
Stefano Soatto
70
94
0
02 Aug 2019
Meta-Learning Representations for Continual Learning
Meta-Learning Representations for Continual Learning
Khurram Javed
Martha White
KELMCLL
80
320
0
29 May 2019
Similarity of Neural Network Representations Revisited
Similarity of Neural Network Representations Revisited
Simon Kornblith
Mohammad Norouzi
Honglak Lee
Geoffrey E. Hinton
143
1,435
0
01 May 2019
On The Power of Curriculum Learning in Training Deep Networks
On The Power of Curriculum Learning in Training Deep Networks
Guy Hacohen
D. Weinshall
ODL
80
449
0
07 Apr 2019
Efficient Lifelong Learning with A-GEM
Efficient Lifelong Learning with A-GEM
Arslan Chaudhry
MarcÁurelio Ranzato
Marcus Rohrbach
Mohamed Elhoseiny
CLL
212
1,463
0
02 Dec 2018
Towards Robust Evaluations of Continual Learning
Towards Robust Evaluations of Continual Learning
Sebastian Farquhar
Y. Gal
CLL
93
308
0
24 May 2018
Not All Samples Are Created Equal: Deep Learning with Importance
  Sampling
Not All Samples Are Created Equal: Deep Learning with Importance Sampling
Angelos Katharopoulos
François Fleuret
111
522
0
02 Mar 2018
Curriculum Learning by Transfer Learning: Theory and Experiments with
  Deep Networks
Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks
D. Weinshall
Gad Cohen
Dan Amir
ODL
52
245
0
11 Feb 2018
Riemannian Walk for Incremental Learning: Understanding Forgetting and
  Intransigence
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence
Arslan Chaudhry
P. Dokania
Thalaiyasingam Ajanthan
Philip Torr
CLL
105
1,145
0
30 Jan 2018
Visualizing the Loss Landscape of Neural Nets
Visualizing the Loss Landscape of Neural Nets
Hao Li
Zheng Xu
Gavin Taylor
Christoph Studer
Tom Goldstein
264
1,901
0
28 Dec 2017
Three Factors Influencing Minima in SGD
Three Factors Influencing Minima in SGD
Stanislaw Jastrzebski
Zachary Kenton
Devansh Arpit
Nicolas Ballas
Asja Fischer
Yoshua Bengio
Amos Storkey
78
463
0
13 Nov 2017
Measuring Catastrophic Forgetting in Neural Networks
Measuring Catastrophic Forgetting in Neural Networks
Ronald Kemker
Marc McClure
Angelina Abitino
Tyler L. Hayes
Christopher Kanan
CLL
125
722
0
07 Aug 2017
Automated Curriculum Learning for Neural Networks
Automated Curriculum Learning for Neural Networks
Alex Graves
Marc G. Bellemare
Jacob Menick
Rémi Munos
Koray Kavukcuoglu
98
530
0
10 Apr 2017
Overcoming catastrophic forgetting in neural networks
Overcoming catastrophic forgetting in neural networks
J. Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
J. Veness
Guillaume Desjardins
...
A. Grabska-Barwinska
Demis Hassabis
Claudia Clopath
D. Kumaran
R. Hadsell
CLL
374
7,572
0
02 Dec 2016
Learning the Curriculum with Bayesian Optimization for Task-Specific
  Word Representation Learning
Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning
Yulia Tsvetkov
Manaal Faruqui
Wang Ling
B. MacWhinney
Chris Dyer
93
90
0
12 May 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.3K
194,510
0
10 Dec 2015
Prioritized Experience Replay
Prioritized Experience Replay
Tom Schaul
John Quan
Ioannis Antonoglou
David Silver
OffRL
231
3,796
0
18 Nov 2015
Curriculum Learning of Multiple Tasks
Curriculum Learning of Multiple Tasks
Anastasia Pentina
V. Sharmanska
Christoph H. Lampert
88
245
0
03 Dec 2014
Stochastic Optimization with Importance Sampling
Stochastic Optimization with Importance Sampling
P. Zhao
Tong Zhang
112
346
0
13 Jan 2014
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based
  Neural Networks
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks
Ian Goodfellow
M. Berk Mirza
Xia Da
Aaron Courville
Yoshua Bengio
159
1,455
0
21 Dec 2013
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