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Continual Lifelong Learning with Neural Networks: A Review

Continual Lifelong Learning with Neural Networks: A Review

21 February 2018
G. I. Parisi
Ronald Kemker
Jose L. Part
Christopher Kanan
S. Wermter
    KELM
    CLL
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Papers citing "Continual Lifelong Learning with Neural Networks: A Review"

50 / 445 papers shown
Title
Accelerating evolutionary exploration through language model-based transfer learning
Accelerating evolutionary exploration through language model-based transfer learning
M. Reissmann
Yuan Fang
Andrew S. H. Ooi
R. D. Sandberg
47
2
0
07 Jun 2024
Outdated Issue Aware Decoding for Reasoning Questions on Edited
  Knowledge
Outdated Issue Aware Decoding for Reasoning Questions on Edited Knowledge
Zengkui Sun
Yijin Liu
Jiaan Wang
Fandong Meng
Jinan Xu
Jinan Xu
Jie Zhou
KELM
43
0
0
05 Jun 2024
AGALE: A Graph-Aware Continual Learning Evaluation Framework
AGALE: A Graph-Aware Continual Learning Evaluation Framework
Tianqi Zhao
Alan Hanjalic
Megha Khosla
40
1
0
03 Jun 2024
Benchmarking General-Purpose In-Context Learning
Benchmarking General-Purpose In-Context Learning
Fan Wang
Chuan Lin
Yang Cao
Yu Kang
38
1
0
27 May 2024
Bridging Neuroscience and AI: Environmental Enrichment as a Model for Forward Knowledge Transfer
Bridging Neuroscience and AI: Environmental Enrichment as a Model for Forward Knowledge Transfer
Rajat Saxena
Bruce L. McNaughton
CLL
59
2
0
12 May 2024
IMEX-Reg: Implicit-Explicit Regularization in the Function Space for
  Continual Learning
IMEX-Reg: Implicit-Explicit Regularization in the Function Space for Continual Learning
Prashant Shivaram Bhat
Bharath Renjith
Elahe Arani
Bahram Zonooz
CLL
48
2
0
28 Apr 2024
Beyond Imitation: A Life-long Policy Learning Framework for Path
  Tracking Control of Autonomous Driving
Beyond Imitation: A Life-long Policy Learning Framework for Path Tracking Control of Autonomous Driving
Cheng Gong
Chao Lu
Zirui Li
Zhe Liu
Jianwei Gong
Xuemei Chen
38
2
0
26 Apr 2024
A Continual Relation Extraction Approach for Knowledge Graph
  Completeness
A Continual Relation Extraction Approach for Knowledge Graph Completeness
Sefika Efeoglu
48
2
0
20 Apr 2024
Hyperparameter Selection in Continual Learning
Hyperparameter Selection in Continual Learning
Thomas L. Lee
Sigrid Passano Hellan
Linus Ericsson
Elliot J. Crowley
Amos Storkey
CLL
68
0
0
09 Apr 2024
The State of Lithium-Ion Battery Health Prognostics in the CPS Era
The State of Lithium-Ion Battery Health Prognostics in the CPS Era
Gaurav Shinde
Rohan Mohapatra
Pooja Krishan
Harish Garg
Srikanth Prabhu
Sanchari Das
Mohammad Masum
Saptarshi Sengupta
37
1
0
28 Mar 2024
PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks
PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks
Philip Matthias Winter
M. Wimmer
David Major
Dimitrios Lenis
Astrid Berg
Theresa Neubauer
Gaia Romana De Paolis
Johannes Novotny
Sophia Ulonska
Katja Bühler
39
0
0
18 Mar 2024
Hyperparameters in Continual Learning: A Reality Check
Hyperparameters in Continual Learning: A Reality Check
Sungmin Cha
Kyunghyun Cho
CLL
71
2
0
14 Mar 2024
PAGE: Domain-Incremental Adaptation with Past-Agnostic Generative Replay
  for Smart Healthcare
PAGE: Domain-Incremental Adaptation with Past-Agnostic Generative Replay for Smart Healthcare
Chia-Hao Li
N. Jha
MedIm
45
0
0
13 Mar 2024
Lifelong Intelligence Beyond the Edge using Hyperdimensional Computing
Lifelong Intelligence Beyond the Edge using Hyperdimensional Computing
Xiaofan Yu
Anthony Thomas
Ivannia Gomez Moreno
Louis Gutierrez
Tajana Simunic
43
3
0
07 Mar 2024
Large Convolutional Model Tuning via Filter Subspace
Large Convolutional Model Tuning via Filter Subspace
Wei Chen
Zichen Miao
Qiang Qiu
57
3
0
01 Mar 2024
Monitoring Fidelity of Online Reinforcement Learning Algorithms in
  Clinical Trials
Monitoring Fidelity of Online Reinforcement Learning Algorithms in Clinical Trials
Anna L. Trella
Kelly W. Zhang
Inbal Nahum-Shani
Vivek Shetty
Iris Yan
Finale Doshi-Velez
Susan A. Murphy
OffRL
OnRL
26
3
0
26 Feb 2024
Towards Robust Graph Incremental Learning on Evolving Graphs
Towards Robust Graph Incremental Learning on Evolving Graphs
Junwei Su
Difan Zou
Zijun Zhang
Chuan Wu
CLL
OOD
40
18
0
20 Feb 2024
Predictive Churn with the Set of Good Models
Predictive Churn with the Set of Good Models
J. Watson-Daniels
Flavio du Pin Calmon
Alexander DÁmour
Carol Xuan Long
David C. Parkes
Berk Ustun
83
7
0
12 Feb 2024
Continual Learning on Graphs: A Survey
Continual Learning on Graphs: A Survey
Zonggui Tian
Duanhao Zhang
Hong-Ning Dai
49
5
0
09 Feb 2024
Flashback: Understanding and Mitigating Forgetting in Federated Learning
Flashback: Understanding and Mitigating Forgetting in Federated Learning
Mohammed Aljahdali
A. Abdelmoniem
Marco Canini
Samuel Horváth
37
3
0
08 Feb 2024
Memory, Space, and Planning: Multiscale Predictive Representations
Memory, Space, and Planning: Multiscale Predictive Representations
Ida Momennejad
28
2
0
16 Jan 2024
Federated Continual Learning via Knowledge Fusion: A Survey
Federated Continual Learning via Knowledge Fusion: A Survey
Xin Yang
Hao Yu
Xin Gao
Hao Wang
Junbo Zhang
Tianrui Li
FedML
36
31
0
27 Dec 2023
Reconciling Shared versus Context-Specific Information in a Neural
  Network Model of Latent Causes
Reconciling Shared versus Context-Specific Information in a Neural Network Model of Latent Causes
Qihong Lu
Tan Nguyen
Qiong Zhang
Uri Hasson
Thomas Griffiths
Jeffrey M. Zacks
Samuel Gershman
K. A. Norman
38
4
0
13 Dec 2023
Read Between the Layers: Leveraging Multi-Layer Representations for
  Rehearsal-Free Continual Learning with Pre-Trained Models
Read Between the Layers: Leveraging Multi-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models
Kyra Ahrens
Hans Hergen Lehmann
Jae Hee Lee
Stefan Wermter
CLL
35
7
0
13 Dec 2023
Artificial Intelligence for Digital and Computational Pathology
Artificial Intelligence for Digital and Computational Pathology
Andrew H. Song
Guillaume Jaume
Drew F. K. Williamson
Ming Y. Lu
Anurag J. Vaidya
Tiffany R. Miller
Faisal Mahmood
AI4CE
30
130
0
13 Dec 2023
Towards On-device Learning on the Edge: Ways to Select Neurons to Update
  under a Budget Constraint
Towards On-device Learning on the Edge: Ways to Select Neurons to Update under a Budget Constraint
Ael Quélennec
Enzo Tartaglione
Pavlo Mozharovskyi
Van-Tam Nguyen
33
2
0
08 Dec 2023
Seeing the random forest through the decision trees. Supporting learning
  health systems from histopathology with machine learning models: Challenges
  and opportunities
Seeing the random forest through the decision trees. Supporting learning health systems from histopathology with machine learning models: Challenges and opportunities
Ricardo Gonzalez
Ashirbani Saha
Clinton J.V. Campbell
Peyman Nejat
Cynthia Lokker
Andrew P. Norgan
46
13
0
06 Dec 2023
Benchmarking Continual Learning from Cognitive Perspectives
Benchmarking Continual Learning from Cognitive Perspectives
Xiaoqian Liu
Junge Zhang
Mingyi Zhang
Peipei Yang
21
0
0
06 Dec 2023
Weathering Ongoing Uncertainty: Learning and Planning in a Time-Varying
  Partially Observable Environment
Weathering Ongoing Uncertainty: Learning and Planning in a Time-Varying Partially Observable Environment
Gokul Puthumanaillam
Xiangyu Liu
Negar Mehr
Melkior Ornik
16
5
0
06 Dec 2023
Using Curiosity for an Even Representation of Tasks in Continual Offline
  Reinforcement Learning
Using Curiosity for an Even Representation of Tasks in Continual Offline Reinforcement Learning
Pathmanathan Pankayaraj
Natalia Díaz Rodríguez
Javier Del Ser
CLL
OffRL
38
0
0
05 Dec 2023
Density Distribution-based Learning Framework for Addressing Online
  Continual Learning Challenges
Density Distribution-based Learning Framework for Addressing Online Continual Learning Challenges
Shilin Zhang
Jiahui Wang
CLL
32
0
0
22 Nov 2023
Towards Continual Reinforcement Learning for Quadruped Robots
Towards Continual Reinforcement Learning for Quadruped Robots
G. Minelli
V. Vassiliades
CLL
28
1
0
12 Nov 2023
A Definition of Open-Ended Learning Problems for Goal-Conditioned Agents
A Definition of Open-Ended Learning Problems for Goal-Conditioned Agents
Olivier Sigaud
Gianluca Baldassarre
Cédric Colas
Stéphane Doncieux
Richard J. Duro
Pierre-Yves Oudeyer
Nicolas Perrin-Gilbert
V. Santucci
AI4CE
37
10
0
01 Nov 2023
Class Incremental Learning with Pre-trained Vision-Language Models
Class Incremental Learning with Pre-trained Vision-Language Models
Xialei Liu
Xusheng Cao
Haori Lu
Jia-Wen Xiao
Andrew D. Bagdanov
Ming-Ming Cheng
VLM
30
12
0
31 Oct 2023
Domain Generalization in Computational Pathology: Survey and Guidelines
Domain Generalization in Computational Pathology: Survey and Guidelines
Mostafa Jahanifar
M. Raza
Kesi Xu
T. Vuong
R. Jewsbury
...
Neda Zamanitajeddin
Jin Tae Kwak
S. Raza
F. Minhas
Nasir M. Rajpoot
OOD
28
17
0
30 Oct 2023
Rethinking Class-incremental Learning in the Era of Large Pre-trained
  Models via Test-Time Adaptation
Rethinking Class-incremental Learning in the Era of Large Pre-trained Models via Test-Time Adaptation
Imad Eddine Marouf
Subhankar Roy
Enzo Tartaglione
Stéphane Lathuilière
CLL
29
3
0
17 Oct 2023
Chunking: Continual Learning is not just about Distribution Shift
Chunking: Continual Learning is not just about Distribution Shift
Thomas L. Lee
Amos Storkey
25
1
0
03 Oct 2023
MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep
  Models for X-ray Images of Multiple Body Parts
MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-ray Images of Multiple Body Parts
Weibin Liao
Haoyi Xiong
Qingzhong Wang
Yan Mo
Xuhong Li
Yi Liu
Zeyu Chen
Siyu Huang
Dejing Dou
CLL
22
22
0
03 Oct 2023
Clustering-based Domain-Incremental Learning
Clustering-based Domain-Incremental Learning
Christiaan Lamers
René Vidal
A. Belbachir
Niki van Stein
Thomas Baeck
Paris Giampouras
CLL
OOD
32
10
0
21 Sep 2023
Functional requirements to mitigate the Risk of Harm to Patients from
  Artificial Intelligence in Healthcare
Functional requirements to mitigate the Risk of Harm to Patients from Artificial Intelligence in Healthcare
Juan M. García-Gómez
V. Blanes-Selva
José Carlos de Bartolomé Cenzano
Jaime Cebolla-Cornejo
Ascensión Donate-Martínez
6
0
0
19 Sep 2023
Plasticity-Optimized Complementary Networks for Unsupervised Continual
  Learning
Plasticity-Optimized Complementary Networks for Unsupervised Continual Learning
Alex Gomez-Villa
Bartlomiej Twardowski
Kai Wang
Joost van de Weijer
SSL
CLL
33
8
0
12 Sep 2023
A Natural Gas Consumption Forecasting System for Continual Learning
  Scenarios based on Hoeffding Trees with Change Point Detection Mechanism
A Natural Gas Consumption Forecasting System for Continual Learning Scenarios based on Hoeffding Trees with Change Point Detection Mechanism
Radek Svoboda
Sebastian Basterrech
Jedrzej Kozal
Jan Platoš
Michal Wo'zniak
22
3
0
07 Sep 2023
A Comprehensive Empirical Evaluation on Online Continual Learning
A Comprehensive Empirical Evaluation on Online Continual Learning
Albin Soutif--Cormerais
Antonio Carta
Andrea Cossu
J. Hurtado
Hamed Hemati
Vincenzo Lomonaco
Joost van de Weijer
CLL
31
20
0
20 Aug 2023
SATHUR: Self Augmenting Task Hallucinal Unified Representation for
  Generalized Class Incremental Learning
SATHUR: Self Augmenting Task Hallucinal Unified Representation for Generalized Class Incremental Learning
Sathursan Kanagarajah
Thanuja D. Ambegoda
Ranga Rodrigo
CLL
27
0
0
13 Aug 2023
Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio
  Detection
Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio Detection
Xiaohui Zhang
Jiangyan Yi
J. Tao
Chenglong Wang
Chuyuan Zhang
CLL
36
23
0
07 Aug 2023
Model Provenance via Model DNA
Model Provenance via Model DNA
Xin Mu
Yu Wang
Yehong Zhang
Jiaqi Zhang
Haibo Wang
Yang Xiang
Yue Yu
SyDa
30
0
0
04 Aug 2023
Online Prototype Learning for Online Continual Learning
Online Prototype Learning for Online Continual Learning
Yujie Wei
Jiaxin Ye
Zhizhong Huang
Junping Zhang
Hongming Shan
CLL
OnRL
33
39
0
01 Aug 2023
L3DMC: Lifelong Learning using Distillation via Mixed-Curvature Space
L3DMC: Lifelong Learning using Distillation via Mixed-Curvature Space
Kaushik Roy
Peyman Moghadam
Mehrtash Harandi
30
6
0
31 Jul 2023
Foundational Models Defining a New Era in Vision: A Survey and Outlook
Foundational Models Defining a New Era in Vision: A Survey and Outlook
Muhammad Awais
Muzammal Naseer
Salman Khan
Rao Muhammad Anwer
Hisham Cholakkal
M. Shah
Ming Yang
Fahad Shahbaz Khan
VLM
38
118
0
25 Jul 2023
A Definition of Continual Reinforcement Learning
A Definition of Continual Reinforcement Learning
David Abel
André Barreto
Benjamin Van Roy
Doina Precup
H. V. Hasselt
Satinder Singh
CLL
41
74
0
20 Jul 2023
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