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Continual Learning: Applications and the Road Forward

Continual Learning: Applications and the Road Forward

20 November 2023
Eli Verwimp
Rahaf Aljundi
Shai Ben-David
Matthias Bethge
Andrea Cossu
Alexander Gepperth
Tyler L. Hayes
Eyke Hüllermeier
Christopher Kanan
Dhireesha Kudithipudi
Christoph H. Lampert
Martin Mundt
Razvan Pascanu
Adrian Popescu
A. Tolias
J. Weijer
Bing Liu
Vincenzo Lomonaco
Tinne Tuytelaars
Gido M. van de Ven
    CLL
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Papers citing "Continual Learning: Applications and the Road Forward"

44 / 44 papers shown
Title
Prototype Augmented Hypernetworks for Continual Learning
Prototype Augmented Hypernetworks for Continual Learning
Neil De La Fuente
Maria Pilligua
Daniel Vidal
Albin Soutiff
Cecilia Curreli
Daniel Cremers
Andrey Barsky
CLL
19
0
0
12 May 2025
Parameter-Efficient Continual Fine-Tuning: A Survey
Parameter-Efficient Continual Fine-Tuning: A Survey
Eric Nuertey Coleman
Luigi Quarantiello
Ziyue Liu
Qinwen Yang
Samrat Mukherjee
J. Hurtado
Vincenzo Lomonaco
CLL
27
0
0
18 Apr 2025
Continual Learning Strategies for 3D Engineering Regression Problems: A Benchmarking Study
Continual Learning Strategies for 3D Engineering Regression Problems: A Benchmarking Study
Kaira M. Samuel
Faez Ahmed
43
0
0
16 Apr 2025
Scene-Centric Unsupervised Panoptic Segmentation
Scene-Centric Unsupervised Panoptic Segmentation
Oliver Hahn
Christoph Reich
Nikita Araslanov
Daniel Cremers
Christian Rupprecht
Stefan Roth
OCL
57
0
0
02 Apr 2025
Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off
Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off
Song Lai
Zhe Zhao
Fei Zhu
Xi Victoria Lin
Qingfu Zhang
Gaofeng Meng
CLL
46
1
0
30 Mar 2025
Staying Alive: Online Neural Network Maintenance and Systemic Drift
Staying Alive: Online Neural Network Maintenance and Systemic Drift
Joshua Edward Hammond
Tyler Soderstrom
Brian A. Korgel
Michael Baldea
33
0
0
22 Mar 2025
FeNeC: Enhancing Continual Learning via Feature Clustering with Neighbor- or Logit-Based Classification
FeNeC: Enhancing Continual Learning via Feature Clustering with Neighbor- or Logit-Based Classification
Kamil Książek
Hubert Jastrzębski
Bartosz Trojan
Krzysztof Pniaczek
Michał Karp
Jacek Tabor
CLL
69
0
0
18 Mar 2025
EFC++: Elastic Feature Consolidation with Prototype Re-balancing for Cold Start Exemplar-free Incremental Learning
EFC++: Elastic Feature Consolidation with Prototype Re-balancing for Cold Start Exemplar-free Incremental Learning
Simone Magistri
Tomaso Trinci
Albin Soutif--Cormerais
J. Weijer
Andrew D. Bagdanov
45
0
0
13 Mar 2025
Enhanced Continual Learning of Vision-Language Models with Model Fusion
Enhanced Continual Learning of Vision-Language Models with Model Fusion
Haoyuan Gao
Zicong Zhang
Yuqi Wei
Linglan Zhao
Guilin Li
Y. Li
Linghe Kong
Weiran Huang
CLL
VLM
73
0
0
12 Mar 2025
A Good Start Matters: Enhancing Continual Learning with Data-Driven Weight Initialization
Md Yousuf Harun
Christopher Kanan
AI4CE
48
0
0
09 Mar 2025
Same accuracy, twice as fast: continuous training surpasses retraining from scratch
Same accuracy, twice as fast: continuous training surpasses retraining from scratch
Eli Verwimp
Guy Hacohen
Tinne Tuytelaars
OnRL
39
0
0
28 Feb 2025
Incremental Learning with Repetition via Pseudo-Feature Projection
Incremental Learning with Repetition via Pseudo-Feature Projection
Benedikt Tscheschner
Eduardo Veas
Marc Masana
CLL
39
0
0
27 Feb 2025
CND-IDS: Continual Novelty Detection for Intrusion Detection Systems
CND-IDS: Continual Novelty Detection for Intrusion Detection Systems
Sean Fuhrman
Onat Gungor
T. Rosing
AAML
101
0
0
21 Feb 2025
Lightweight Online Adaption for Time Series Foundation Model Forecasts
Lightweight Online Adaption for Time Series Foundation Model Forecasts
Thomas L. Lee
William Toner
Rajkarn Singh
Artjom Joosem
Martin Asenov
AI4TS
36
0
0
18 Feb 2025
Parseval Regularization for Continual Reinforcement Learning
Parseval Regularization for Continual Reinforcement Learning
Wesley Chung
Lynn Cherif
D. Meger
Doina Precup
CLL
65
0
0
10 Dec 2024
DESIRE: Dynamic Knowledge Consolidation for Rehearsal-Free Continual
  Learning
DESIRE: Dynamic Knowledge Consolidation for Rehearsal-Free Continual Learning
Haiyang Guo
Fei Zhu
Fanhu Zeng
Bing Liu
Xu-Yao Zhang
MoMe
CLL
68
3
0
28 Nov 2024
Aligning Generalisation Between Humans and Machines
Aligning Generalisation Between Humans and Machines
Filip Ilievski
Barbara Hammer
F. V. Harmelen
Benjamin Paassen
S. Saralajew
...
Vered Shwartz
Gabriella Skitalinskaya
Clemens Stachl
Gido M. van de Ven
T. Villmann
66
0
0
23 Nov 2024
Online-LoRA: Task-free Online Continual Learning via Low Rank Adaptation
Online-LoRA: Task-free Online Continual Learning via Low Rank Adaptation
Xiwen Wei
Guihong Li
R. Marculescu
34
2
0
08 Nov 2024
Budgeted Online Continual Learning by Adaptive Layer Freezing and Frequency-based Sampling
Budgeted Online Continual Learning by Adaptive Layer Freezing and Frequency-based Sampling
Minhyuk Seo
Hyunseo Koh
Jonghyun Choi
24
1
0
19 Oct 2024
Efficient Weight-Space Laplace-Gaussian Filtering and Smoothing for
  Sequential Deep Learning
Efficient Weight-Space Laplace-Gaussian Filtering and Smoothing for Sequential Deep Learning
Joanna Sliwa
Frank Schneider
Nathanael Bosch
Agustinus Kristiadi
Philipp Hennig
BDL
CLL
21
2
0
09 Oct 2024
How green is continual learning, really? Analyzing the energy
  consumption in continual training of vision foundation models
How green is continual learning, really? Analyzing the energy consumption in continual training of vision foundation models
Tomaso Trinci
Simone Magistri
Roberto Verdecchia
Andrew D. Bagdanov
CLL
26
0
0
27 Sep 2024
Learning to Route for Dynamic Adapter Composition in Continual Learning
  with Language Models
Learning to Route for Dynamic Adapter Composition in Continual Learning with Language Models
Vladimir Araujo
Marie-Francine Moens
Tinne Tuytelaars
CLL
MoMe
19
2
0
16 Aug 2024
The Phantom Menace: Unmasking Privacy Leakages in Vision-Language Models
The Phantom Menace: Unmasking Privacy Leakages in Vision-Language Models
Simone Caldarella
Massimiliano Mancini
Elisa Ricci
Rahaf Aljundi
PILM
22
1
0
02 Aug 2024
Controlling Forgetting with Test-Time Data in Continual Learning
Controlling Forgetting with Test-Time Data in Continual Learning
Vaibhav Singh
Rahaf Aljundi
Eugene Belilovsky
CLL
VLM
KELM
21
3
0
19 Jun 2024
CLoG: Benchmarking Continual Learning of Image Generation Models
CLoG: Benchmarking Continual Learning of Image Generation Models
Haotian Zhang
Junting Zhou
Haowei Lin
Hang Ye
Jianhua Zhu
Zihao Wang
Liangcai Gao
Yizhou Wang
Yitao Liang
DiffM
VLM
23
0
0
07 Jun 2024
What Variables Affect Out-Of-Distribution Generalization in Pretrained
  Models?
What Variables Affect Out-Of-Distribution Generalization in Pretrained Models?
Md Yousuf Harun
Kyungbok Lee
Jhair Gallardo
Giri Krishnan
Christopher Kanan
23
2
0
23 May 2024
Continual Learning in the Presence of Repetition
Continual Learning in the Presence of Repetition
Hamed Hemati
Lorenzo Pellegrini
Xiaotian Duan
Zixuan Zhao
Fangfang Xia
...
Shiji Zhao
Shao-Yuan Li
Sheng-Jun Huang
Vincenzo Lomonaco
Gido M. van de Ven
CLL
21
2
0
07 May 2024
Recommendation of data-free class-incremental learning algorithms by
  simulating future data
Recommendation of data-free class-incremental learning algorithms by simulating future data
Eva Feillet
Adrian Daniel Popescu
C´eline Hudelot
33
0
0
26 Mar 2024
Towards a Dynamic Future with Adaptable Computing and Network
  Convergence (ACNC)
Towards a Dynamic Future with Adaptable Computing and Network Convergence (ACNC)
Masoud Shokrnezhad
Hao Yu
T. Taleb
Richard Li
Kyunghan Lee
Jaeseung Song
Cedric Westphal
19
5
0
12 Mar 2024
Continual Learning and Catastrophic Forgetting
Continual Learning and Catastrophic Forgetting
Gido M. van de Ven
Nicholas Soures
Dhireesha Kudithipudi
16
46
0
08 Mar 2024
Continual Learning for Large Language Models: A Survey
Continual Learning for Large Language Models: A Survey
Tongtong Wu
Linhao Luo
Yuan-Fang Li
Shirui Pan
Thuy-Trang Vu
Gholamreza Haffari
CLL
LRM
KELM
21
101
0
02 Feb 2024
BrainWash: A Poisoning Attack to Forget in Continual Learning
BrainWash: A Poisoning Attack to Forget in Continual Learning
Ali Abbasi
Parsa Nooralinejad
Hamed Pirsiavash
Soheil Kolouri
CLL
KELM
AAML
11
5
0
20 Nov 2023
Design Principles for Lifelong Learning AI Accelerators
Design Principles for Lifelong Learning AI Accelerators
Dhireesha Kudithipudi
Anurag Daram
Abdullah M. Zyarah
Fatima Tuz Zohora
J. Aimone
...
Emre Neftci
M. Mattina
Vincenzo Lomonaco
Clare D. Thiem
Benjamin Epstein
29
17
0
05 Oct 2023
GRASP: A Rehearsal Policy for Efficient Online Continual Learning
GRASP: A Rehearsal Policy for Efficient Online Continual Learning
Md Yousuf Harun
Jhair Gallardo
Junyu Chen
Christopher Kanan
CLL
10
9
0
25 Aug 2023
Overcoming the Stability Gap in Continual Learning
Overcoming the Stability Gap in Continual Learning
Md Yousuf Harun
Christopher Kanan
AI4CE
27
6
0
02 Jun 2023
Online Continual Learning Without the Storage Constraint
Online Continual Learning Without the Storage Constraint
Ameya Prabhu
Zhipeng Cai
P. Dokania
Philip H. S. Torr
V. Koltun
Ozan Sener
CLL
118
28
0
16 May 2023
First Session Adaptation: A Strong Replay-Free Baseline for
  Class-Incremental Learning
First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental Learning
A. Panos
Yuriko Kobe
Daniel Olmeda Reino
Rahaf Aljundi
Richard E. Turner
CLL
93
42
0
23 Mar 2023
SIESTA: Efficient Online Continual Learning with Sleep
SIESTA: Efficient Online Continual Learning with Sleep
Md Yousuf Harun
Jhair Gallardo
Tyler L. Hayes
Ronald Kemker
Christopher Kanan
CLL
45
18
0
19 Mar 2023
Disentangling Transfer in Continual Reinforcement Learning
Disentangling Transfer in Continual Reinforcement Learning
Maciej Wołczyk
Michal Zajkac
Razvan Pascanu
Lukasz Kuciñski
Piotr Milo's
CLL
57
27
0
28 Sep 2022
SparCL: Sparse Continual Learning on the Edge
SparCL: Sparse Continual Learning on the Edge
Zifeng Wang
Zheng Zhan
Yifan Gong
Geng Yuan
Wei Niu
T. Jian
Bin Ren
Stratis Ioannidis
Yanzhi Wang
Jennifer Dy
CLL
52
57
0
20 Sep 2022
Achieving Forgetting Prevention and Knowledge Transfer in Continual
  Learning
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning
Zixuan Ke
Bing-Quan Liu
Nianzu Ma
Hu Xu
Lei Shu
CLL
173
121
0
05 Dec 2021
Editing a classifier by rewriting its prediction rules
Editing a classifier by rewriting its prediction rules
Shibani Santurkar
Dimitris Tsipras
Mahalaxmi Elango
David Bau
Antonio Torralba
A. Madry
KELM
161
89
0
02 Dec 2021
Fast Model Editing at Scale
Fast Model Editing at Scale
E. Mitchell
Charles Lin
Antoine Bosselut
Chelsea Finn
Christopher D. Manning
KELM
219
341
0
21 Oct 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
321
1,944
0
04 May 2020
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