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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
ArXivPDFHTML

Papers citing "Continual Lifelong Learning with Neural Networks: A Review"

50 / 440 papers shown
Title
A Probabilistic Framework for Lifelong Test-Time Adaptation
A Probabilistic Framework for Lifelong Test-Time Adaptation
Dhanajit Brahma
Piyush Rai
TTA
24
34
0
19 Dec 2022
Dynamic Test-Time Augmentation via Differentiable Functions
Dynamic Test-Time Augmentation via Differentiable Functions
Shohei Enomoto
Monikka Roslianna Busto
Takeharu Eda
OOD
43
5
0
09 Dec 2022
System Design for an Integrated Lifelong Reinforcement Learning Agent
  for Real-Time Strategy Games
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games
Indranil Sur
Z. Daniels
Abrar Rahman
Kamil Faber
Gianmarco J. Gallardo
...
Roberto Corizzo
Ajay Divakaran
M. Piacentino
Jesse Hostetler
Aswin Raghavan
CLL
OffRL
38
4
0
08 Dec 2022
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning
Yuyang Gao
Siyi Gu
Junji Jiang
S. Hong
Dazhou Yu
Liang Zhao
29
39
0
07 Dec 2022
MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality
  Microscopy
MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy
Gihun Lee
Sangmook Kim
Joonkee Kim
Se-Young Yun
MedIm
19
18
0
07 Dec 2022
FedKNOW: Federated Continual Learning with Signature Task Knowledge
  Integration at Edge
FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge
Yaxin Luopan
Rui Han
Qinglong Zhang
Chi Harold Liu
Guoren Wang
FedML
26
18
0
04 Dec 2022
On-device Training: A First Overview on Existing Systems
On-device Training: A First Overview on Existing Systems
Shuai Zhu
Thiemo Voigt
Jeonggil Ko
Fatemeh Rahimian
34
14
0
01 Dec 2022
Continual Learning with Distributed Optimization: Does CoCoA Forget?
Continual Learning with Distributed Optimization: Does CoCoA Forget?
Martin Hellkvist
Ayça Özçelikkale
Anders Ahlén
CLL
OOD
30
1
0
30 Nov 2022
Neural Weight Search for Scalable Task Incremental Learning
Neural Weight Search for Scalable Task Incremental Learning
Jian Jiang
Oya Celiktutan
CLL
27
6
0
24 Nov 2022
FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning
FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning
Grégoire Petit
Adrian Daniel Popescu
Hugo Schindler
David Picard
Bertrand Delezoide
CLL
30
112
0
23 Nov 2022
Semi-Supervised Lifelong Language Learning
Semi-Supervised Lifelong Language Learning
Ying Zhao
Yinhe Zheng
Yu Bowen
Zhiliang Tian
Dongkyu Lee
Jian Sun
Haiyang Yu
Yongbin Li
N. Zhang
CLL
KELM
43
3
0
23 Nov 2022
Cooperative data-driven modeling
Cooperative data-driven modeling
Aleksandr Dekhovich
O. T. Turan
Jiaxiang Yi
Miguel A. Bessa
CLL
KELM
AI4CE
19
5
0
23 Nov 2022
Continual Learning of Natural Language Processing Tasks: A Survey
Continual Learning of Natural Language Processing Tasks: A Survey
Zixuan Ke
Bin Liu
KELM
CLL
VLM
32
69
0
23 Nov 2022
Towards continually learning new languages
Towards continually learning new languages
Ngoc-Quan Pham
Jan Niehues
A. Waibel
CLL
11
1
0
21 Nov 2022
Building a Subspace of Policies for Scalable Continual Learning
Building a Subspace of Policies for Scalable Continual Learning
Jean-Baptiste Gaya
T. Doan
Lucas Caccia
Laure Soulier
Ludovic Denoyer
Roberta Raileanu
CLL
39
29
0
18 Nov 2022
#maskUp: Selective Attribute Encryption for Sensitive Vocalization for
  English language on Social Media Platforms
#maskUp: Selective Attribute Encryption for Sensitive Vocalization for English language on Social Media Platforms
Supriti Vijay
Aman Priyanshu
36
0
0
16 Nov 2022
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision
  Research
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research
J. Bornschein
Alexandre Galashov
Ross Hemsley
Amal Rannen-Triki
Yutian Chen
...
Angeliki Lazaridou
Yee Whye Teh
Andrei A. Rusu
Razvan Pascanu
MarcÁurelio Ranzato
OOD
VLM
AI4TS
41
17
0
15 Nov 2022
Logical Tasks for Measuring Extrapolation and Rule Comprehension
Logical Tasks for Measuring Extrapolation and Rule Comprehension
Ippei Fujisawa
Ryota Kanai
ELM
LRM
28
4
0
14 Nov 2022
Hierarchically Structured Task-Agnostic Continual Learning
Hierarchically Structured Task-Agnostic Continual Learning
Heinke Hihn
Daniel A. Braun
BDL
CLL
19
8
0
14 Nov 2022
FedTracker: Furnishing Ownership Verification and Traceability for
  Federated Learning Model
FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model
Shuo Shao
Wenyuan Yang
Hanlin Gu
Zhan Qin
Lixin Fan
Qiang Yang
Kui Ren
FedML
29
29
0
14 Nov 2022
A Survey on Computer Vision based Human Analysis in the COVID-19 Era
A Survey on Computer Vision based Human Analysis in the COVID-19 Era
Fevziye Irem Eyiokur
Alperen Kantarci
M. Erakin
Naser Damer
Ferda Ofli
...
Janez Križaj
A. Salah
Alexander Waibel
Vitomir Štruc
H. K. Ekenel
39
20
0
07 Nov 2022
Biologically-Inspired Continual Learning of Human Motion Sequences
Biologically-Inspired Continual Learning of Human Motion Sequences
Joachim Ott
Shihao Liu
29
0
0
02 Nov 2022
Federated Continual Learning to Detect Accounting Anomalies in Financial
  Auditing
Federated Continual Learning to Detect Accounting Anomalies in Financial Auditing
Marco Schreyer
Hamed Hemati
Damian Borth
M. Vasarhelyi
FedML
45
3
0
26 Oct 2022
Training Dynamics for Curriculum Learning: A Study on Monolingual and
  Cross-lingual NLU
Training Dynamics for Curriculum Learning: A Study on Monolingual and Cross-lingual NLU
Fenia Christopoulou
Gerasimos Lampouras
Ignacio Iacobacci
48
3
0
22 Oct 2022
Augmentative Topology Agents For Open-Ended Learning
Augmentative Topology Agents For Open-Ended Learning
Muhammad Umair Nasir
Michael Beukman
Steven D. James
C. Cleghorn
37
3
0
20 Oct 2022
Review Learning: Alleviating Catastrophic Forgetting with Generative
  Replay without Generator
Review Learning: Alleviating Catastrophic Forgetting with Generative Replay without Generator
Jaesung Yoo
Sung-Hyuk Choi
Yewon Yang
Suhyeon Kim
J. Choi
...
H. J. Joo
Dae-Jung Kim
R. Park
Hyeong-Jin Yoon
Kwangsoo Kim
KELM
OffRL
40
0
0
17 Oct 2022
Task Grouping for Multilingual Text Recognition
Task Grouping for Multilingual Text Recognition
Jing Huang
Kevin J Liang
Rama Kovvuri
Tal Hassner
18
5
0
13 Oct 2022
Towards a Unified Multi-Dimensional Evaluator for Text Generation
Towards a Unified Multi-Dimensional Evaluator for Text Generation
Ming Zhong
Yang Liu
Da Yin
Yuning Mao
Yizhu Jiao
Peng Liu
Chenguang Zhu
Heng Ji
Jiawei Han
ELM
45
256
0
13 Oct 2022
Task-Free Continual Learning via Online Discrepancy Distance Learning
Task-Free Continual Learning via Online Discrepancy Distance Learning
Fei Ye
A. Bors
CLL
24
28
0
12 Oct 2022
Continual task learning in natural and artificial agents
Continual task learning in natural and artificial agents
Timo Flesch
Andrew M. Saxe
Christopher Summerfield
CLL
43
24
0
10 Oct 2022
Efficient Meta-Learning for Continual Learning with Taylor Expansion
  Approximation
Efficient Meta-Learning for Continual Learning with Taylor Expansion Approximation
Xiaohan Zou
Tong Lin
CLL
29
2
0
03 Oct 2022
Disentangling Transfer in Continual Reinforcement Learning
Disentangling Transfer in Continual Reinforcement Learning
Maciej Wołczyk
Michal Zajkac
Razvan Pascanu
Lukasz Kuciñski
Piotr Milo's
CLL
81
27
0
28 Sep 2022
Towards Regression-Free Neural Networks for Diverse Compute Platforms
Towards Regression-Free Neural Networks for Diverse Compute Platforms
Rahul Duggal
Hao Zhou
Shuo Yang
Jun Fang
Yuanjun Xiong
Wei Xia
UQCV
36
1
0
27 Sep 2022
Optimizing Class Distribution in Memory for Multi-Label Online Continual
  Learning
Optimizing Class Distribution in Memory for Multi-Label Online Continual Learning
Yanyan Liang
Wu-Jun Li
CLL
18
8
0
23 Sep 2022
Learn the Time to Learn: Replay Scheduling in Continual Learning
Learn the Time to Learn: Replay Scheduling in Continual Learning
Marcus Klasson
Hedvig Kjellström
Chen Zhang
CLL
35
9
0
18 Sep 2022
Data Lifecycle Management in Evolving Input Distributions for
  Learning-based Aerospace Applications
Data Lifecycle Management in Evolving Input Distributions for Learning-based Aerospace Applications
Somrita Banerjee
Apoorva Sharma
Edward Schmerling
M. Spolaor
Michael Nemerouf
Marco Pavone
23
2
0
14 Sep 2022
Selecting Related Knowledge via Efficient Channel Attention for Online
  Continual Learning
Selecting Related Knowledge via Efficient Channel Attention for Online Continual Learning
Ya-nan Han
Jian-wei Liu
CLL
25
0
0
09 Sep 2022
Scalable Adversarial Online Continual Learning
Scalable Adversarial Online Continual Learning
T. Dam
Mahardhika Pratama
Md Meftahul Ferdaus
S. Anavatti
Hussein Abbas
CLL
34
3
0
04 Sep 2022
Bayesian Continual Learning via Spiking Neural Networks
Bayesian Continual Learning via Spiking Neural Networks
N. Skatchkovsky
Hyeryung Jang
Osvaldo Simeone
BDL
33
17
0
29 Aug 2022
Cross-Domain Evaluation of a Deep Learning-Based Type Inference System
Cross-Domain Evaluation of a Deep Learning-Based Type Inference System
Bernd Gruner
Tim Sonnekalb
Thomas S. Heinze
C. Brust
31
2
0
19 Aug 2022
On the Limitations of Continual Learning for Malware Classification
On the Limitations of Continual Learning for Malware Classification
Mohammad Saidur Rahman
Scott E. Coull
M. Wright
34
13
0
13 Aug 2022
Continual Reinforcement Learning with TELLA
Continual Reinforcement Learning with TELLA
Neil Fendley
Cash Costello
Eric Q. Nguyen
Gino Perrotta
Corey Lowman
CLL
21
2
0
08 Aug 2022
A Multi-label Continual Learning Framework to Scale Deep Learning
  Approaches for Packaging Equipment Monitoring
A Multi-label Continual Learning Framework to Scale Deep Learning Approaches for Packaging Equipment Monitoring
Davide Dalle Pezze
Denis Deronjic
Chiara Masiero
Diego Tosato
A. Beghi
Gian Antonio Susto
CLL
32
9
0
08 Aug 2022
Towards lifelong learning of Recurrent Neural Networks for control
  design
Towards lifelong learning of Recurrent Neural Networks for control design
Fabio Bonassi
Jing Xie
M. Farina
R. Scattolini
CLL
28
4
0
08 Aug 2022
Maintaining Performance with Less Data
Maintaining Performance with Less Data
Dominic Sanderson
Tatiana Kalgonova
33
1
0
03 Aug 2022
Incremental Task Learning with Incremental Rank Updates
Incremental Task Learning with Incremental Rank Updates
Rakib Hyder
Ken Shao
Boyu Hou
P. Markopoulos
Ashley Prater-Bennette
Ulugbek S. Kamilov
CLL
16
13
0
19 Jul 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on
  Continual Learning and Functional Composition
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition
Jorge Armando Mendez Mendez
Eric Eaton
KELM
CLL
37
27
0
15 Jul 2022
Domain adaptation strategies for cancer-independent detection of lymph
  node metastases
Domain adaptation strategies for cancer-independent detection of lymph node metastases
Péter Bándi
M. Balkenhol
M. V. Dijk
Bram van Ginneken
Jeroen van der Laak
G. Litjens
OOD
18
1
0
13 Jul 2022
A developmental approach for training deep belief networks
A developmental approach for training deep belief networks
Matteo Zambra
Alberto Testolin
Marco Zorzi
24
12
0
12 Jul 2022
Consistency is the key to further mitigating catastrophic forgetting in
  continual learning
Consistency is the key to further mitigating catastrophic forgetting in continual learning
Prashant Shivaram Bhat
Bahram Zonooz
Elahe Arani
CLL
32
16
0
11 Jul 2022
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