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Architecture Matters in Continual Learning

Architecture Matters in Continual Learning

1 February 2022
Seyed Iman Mirzadeh
Arslan Chaudhry
Dong Yin
Timothy Nguyen
Razvan Pascanu
Dilan Görür
Mehrdad Farajtabar
    OODKELM
ArXiv (abs)PDFHTML

Papers citing "Architecture Matters in Continual Learning"

40 / 40 papers shown
Title
The Importance of Being Lazy: Scaling Limits of Continual Learning
The Importance of Being Lazy: Scaling Limits of Continual Learning
Jacopo Graldi
Alessandro Breccia
Giulia Lanzillotta
Thomas Hofmann
Lorenzo Noci
CLL
32
0
0
20 Jun 2025
Rethinking the Stability-Plasticity Trade-off in Continual Learning from an Architectural Perspective
Rethinking the Stability-Plasticity Trade-off in Continual Learning from an Architectural Perspective
Aojun Lu
Hangjie Yuan
Tao Feng
Yanan Sun
63
2
0
04 Jun 2025
A Good Start Matters: Enhancing Continual Learning with Data-Driven Weight Initialization
A Good Start Matters: Enhancing Continual Learning with Data-Driven Weight Initialization
Md Yousuf Harun
Christopher Kanan
AI4CE
93
0
0
09 Mar 2025
Position: Continual Learning Benefits from An Evolving Population over An Unified Model
Aojun Lu
Junchao Ke
Chunhui Ding
Jiahao Fan
Yanan Sun
CLL
111
0
0
10 Feb 2025
Revisiting Neural Networks for Continual Learning: An Architectural
  Perspective
Revisiting Neural Networks for Continual Learning: An Architectural Perspective
Aojun Lu
Tao Feng
Hangjie Yuan
Xiaotian Song
Yanan Sun
71
10
0
23 Apr 2024
Continual Learning with Weight Interpolation
Continual Learning with Weight Interpolation
Jkedrzej Kozal
Jan Wasilewski
Bartosz Krawczyk
Michal Wo'zniak
CLLMoMe
92
7
0
05 Apr 2024
Convolutional Prompting meets Language Models for Continual Learning
Convolutional Prompting meets Language Models for Continual Learning
Anurag Roy
Riddhiman Moulick
Vinay Kumar Verma
Saptarshi Ghosh
Abir Das
VLMCLLLRM
69
18
0
29 Mar 2024
Self-Regulated Neurogenesis for Online Data-Incremental Learning
Self-Regulated Neurogenesis for Online Data-Incremental Learning
Murat Onur Yildirim
Elif Ceren Gok Yildirim
Decebal Constantin Mocanu
Joaquin Vanschoren
CLL
100
0
0
13 Mar 2024
On the Diminishing Returns of Width for Continual Learning
On the Diminishing Returns of Width for Continual Learning
E. Guha
V. Lakshman
CLL
68
6
0
11 Mar 2024
Fine-tuning Reinforcement Learning Models is Secretly a Forgetting
  Mitigation Problem
Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem
Maciej Wolczyk
Bartłomiej Cupiał
M. Ostaszewski
Michal Bortkiewicz
Michal Zajkac
Razvan Pascanu
Lukasz Kuciñski
Piotr Milo's
CLL
153
18
0
05 Feb 2024
Benchmarking Sensitivity of Continual Graph Learning for Skeleton-Based
  Action Recognition
Benchmarking Sensitivity of Continual Graph Learning for Skeleton-Based Action Recognition
Wei Wei
Tom De Schepper
Kevin Mets
117
2
0
31 Jan 2024
What Can AutoML Do For Continual Learning?
What Can AutoML Do For Continual Learning?
Mert Kilickaya
Joaquin Vanschoren
67
2
0
20 Nov 2023
A Survey on Continual Semantic Segmentation: Theory, Challenge, Method
  and Application
A Survey on Continual Semantic Segmentation: Theory, Challenge, Method and Application
Bo Yuan
Danpei Zhao
3DVCLL
105
12
0
22 Oct 2023
Elephant Neural Networks: Born to Be a Continual Learner
Elephant Neural Networks: Born to Be a Continual Learner
Qingfeng Lan
A. Rupam Mahmood
CLL
104
9
0
02 Oct 2023
An Intentional Forgetting-Driven Self-Healing Method For Deep
  Reinforcement Learning Systems
An Intentional Forgetting-Driven Self-Healing Method For Deep Reinforcement Learning Systems
Ahmed Haj Yahmed
Rached Bouchoucha
Houssem Ben Braiek
Foutse Khomh
CLLAI4CE
66
0
0
23 Aug 2023
Complementary Learning Subnetworks for Parameter-Efficient
  Class-Incremental Learning
Complementary Learning Subnetworks for Parameter-Efficient Class-Incremental Learning
Depeng Li
Zhigang Zeng
CLL
127
1
0
21 Jun 2023
Heterogeneous Continual Learning
Heterogeneous Continual Learning
Divyam Madaan
Hongxu Yin
Wonmin Byeon
Jan Kautz
Pavlo Molchanov
CLL
67
5
0
14 Jun 2023
LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning
LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning
Bo Liu
Yifeng Zhu
Chongkai Gao
Yihao Feng
Qian Liu
Yuke Zhu
Peter Stone
CLL
188
157
0
05 Jun 2023
Overcoming the Stability Gap in Continual Learning
Overcoming the Stability Gap in Continual Learning
Md Yousuf Harun
Christopher Kanan
AI4CE
84
11
0
02 Jun 2023
The Tunnel Effect: Building Data Representations in Deep Neural Networks
The Tunnel Effect: Building Data Representations in Deep Neural Networks
Wojciech Masarczyk
M. Ostaszewski
Ehsan Imani
Razvan Pascanu
Piotr Milo's
Tomasz Trzciñski
95
25
0
31 May 2023
Deep Reinforcement Learning with Plasticity Injection
Deep Reinforcement Learning with Plasticity Injection
Evgenii Nikishin
Junhyuk Oh
Georg Ostrovski
Clare Lyle
Razvan Pascanu
Will Dabney
André Barreto
OffRL
66
52
0
24 May 2023
A Review of Deep Learning for Video Captioning
A Review of Deep Learning for Video Captioning
Moloud Abdar
Meenakshi Kollati
Swaraja Kuraparthi
Farhad Pourpanah
Daniel J. McDuff
...
Shuicheng Yan
Abduallah A. Mohamed
Abbas Khosravi
Min Zhang
Fatih Porikli
3DV
121
22
0
22 Apr 2023
Is forgetting less a good inductive bias for forward transfer?
Is forgetting less a good inductive bias for forward transfer?
Jiefeng Chen
Timothy Nguyen
Dilan Görür
Arslan Chaudhry
CLL
111
14
0
14 Mar 2023
PromptFusion: Decoupling Stability and Plasticity for Continual Learning
PromptFusion: Decoupling Stability and Plasticity for Continual Learning
Haoran Chen
Zuxuan Wu
Xintong Han
Menglin Jia
Yu-Gang Jiang
CLL
164
12
0
13 Mar 2023
Effects of Architectures on Continual Semantic Segmentation
Effects of Architectures on Continual Semantic Segmentation
Tobias Kalb
Niket Ahuja
Jingxing Zhou
Jürgen Beyerer
CLL
87
3
0
21 Feb 2023
Efficiently Upgrading Multilingual Machine Translation Models to Support
  More Languages
Efficiently Upgrading Multilingual Machine Translation Models to Support More Languages
Simeng Sun
Maha Elbayad
Anna Y. Sun
James Cross
CLLLRM
98
3
0
07 Feb 2023
A Comprehensive Survey of Continual Learning: Theory, Method and
  Application
A Comprehensive Survey of Continual Learning: Theory, Method and Application
Liyuan Wang
Xingxing Zhang
Hang Su
Jun Zhu
KELMCLL
243
718
0
31 Jan 2023
Learning to Unlearn: Instance-wise Unlearning for Pre-trained
  Classifiers
Learning to Unlearn: Instance-wise Unlearning for Pre-trained Classifiers
Sungmin Cha
Sungjun Cho
Dasol Hwang
Honglak Lee
Taesup Moon
Moontae Lee
MU
151
44
0
27 Jan 2023
3rd Continual Learning Workshop Challenge on Egocentric Category and
  Instance Level Object Understanding
3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding
Lorenzo Pellegrini
Chenchen Zhu
Fanyi Xiao
Zhicheng Yan
Antonio Carta
Matthias De Lange
Vincenzo Lomonaco
Roshan Sumbaly
Pau Rodríguez López
David Vazquez
CLL
109
7
0
13 Dec 2022
CODA-Prompt: COntinual Decomposed Attention-based Prompting for
  Rehearsal-Free Continual Learning
CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning
James Smith
Leonid Karlinsky
V. Gutta
Paola Cascante-Bonilla
Donghyun Kim
Assaf Arbelle
Yikang Shen
Rogerio Feris
Z. Kira
CLLVPVLMVLM
110
299
0
23 Nov 2022
Continual Learning by Modeling Intra-Class Variation
Continual Learning by Modeling Intra-Class Variation
L. Yu
Tianyang Hu
Lanqing Hong
Zhen Liu
Adrian Weller
Weiyang Liu
CLL
83
13
0
11 Oct 2022
CoSCL: Cooperation of Small Continual Learners is Stronger than a Big
  One
CoSCL: Cooperation of Small Continual Learners is Stronger than a Big One
Liyuan Wang
Xingxing Zhang
Qian Li
Jun Zhu
Yi Zhong
CLL
81
49
0
13 Jul 2022
Memory Population in Continual Learning via Outlier Elimination
Memory Population in Continual Learning via Outlier Elimination
J. Hurtado
Alain Raymond-Sáez
Vladimir Araujo
Vincenzo Lomonaco
Alvaro Soto
D. Bacciu
74
9
0
04 Jul 2022
Analysis of Catastrophic Forgetting for Random Orthogonal Transformation
  Tasks in the Overparameterized Regime
Analysis of Catastrophic Forgetting for Random Orthogonal Transformation Tasks in the Overparameterized Regime
Daniel Goldfarb
Paul Hand
CLL
61
14
0
01 Jun 2022
Engineering flexible machine learning systems by traversing
  functionally-invariant paths
Engineering flexible machine learning systems by traversing functionally-invariant paths
G. Raghavan
Bahey Tharwat
S. N. Hari
Dhruvil Satani
Matt Thomson
OODAI4CE
42
8
0
30 Apr 2022
DualPrompt: Complementary Prompting for Rehearsal-free Continual
  Learning
DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning
Zifeng Wang
Zizhao Zhang
Sayna Ebrahimi
Ruoxi Sun
Han Zhang
...
Xiaoqi Ren
Guolong Su
Vincent Perot
Jennifer Dy
Tomas Pfister
CLLVLMVPVLM
138
506
0
10 Apr 2022
Towards Exemplar-Free Continual Learning in Vision Transformers: an
  Account of Attention, Functional and Weight Regularization
Towards Exemplar-Free Continual Learning in Vision Transformers: an Account of Attention, Functional and Weight Regularization
Francesco Pelosin
Saurav Jha
A. Torsello
Bogdan Raducanu
Joost van de Weijer
CLL
120
31
0
24 Mar 2022
Increasing Depth of Neural Networks for Life-long Learning
Increasing Depth of Neural Networks for Life-long Learning
Jkedrzej Kozal
Michal Wo'zniak
CLL
55
8
0
22 Feb 2022
Wide Neural Networks Forget Less Catastrophically
Wide Neural Networks Forget Less Catastrophically
Seyed Iman Mirzadeh
Arslan Chaudhry
Dong Yin
Huiyi Hu
Razvan Pascanu
Dilan Görür
Mehrdad Farajtabar
CLL
86
68
0
21 Oct 2021
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
Decebal Constantin Mocanu
Mykola Pechenizkiy
CLL
94
8
0
11 Oct 2021
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