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Task-Free Continual Learning

Task-Free Continual Learning

10 December 2018
Rahaf Aljundi
Klaas Kelchtermans
Tinne Tuytelaars
    CLL
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Papers citing "Task-Free Continual Learning"

39 / 39 papers shown
Title
Improvements of Dark Experience Replay and Reservoir Sampling towards Better Balance between Consolidation and Plasticity
Improvements of Dark Experience Replay and Reservoir Sampling towards Better Balance between Consolidation and Plasticity
Taisuke Kobayashi
CLL
34
0
0
29 Apr 2025
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications
Siyuan Mu
Sen Lin
MoE
84
1
0
10 Mar 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
Solving Continual Offline RL through Selective Weights Activation on
  Aligned Spaces
Solving Continual Offline RL through Selective Weights Activation on Aligned Spaces
Jifeng Hu
Sili Huang
Li Shen
Zhejian Yang
Shengchao Hu
Shisong Tang
H. Chen
Yi-Ju Chang
Dacheng Tao
Lichao Sun
OffRL
27
0
0
21 Oct 2024
More Experts Than Galaxies: Conditionally-overlapping Experts With Biologically-Inspired Fixed Routing
More Experts Than Galaxies: Conditionally-overlapping Experts With Biologically-Inspired Fixed Routing
Sagi Shaier
Francisco Pereira
K. Wense
Lawrence E Hunter
Matt Jones
MoE
41
0
0
10 Oct 2024
Online Control-Informed Learning
Online Control-Informed Learning
Zihao Liang
Tianyu Zhou
Zehui Lu
Shaoshuai Mou
31
1
0
04 Oct 2024
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
Da-Wei Zhou
Zi-Wen Cai
Han-Jia Ye
Lijun Zhang
De-Chuan Zhan
CLL
AI4CE
41
2
0
01 Oct 2024
Joint Input and Output Coordination for Class-Incremental Learning
Joint Input and Output Coordination for Class-Incremental Learning
Shuai Wang
Yibing Zhan
Yong Luo
Han Hu
Wei Yu
Yonggang Wen
Dacheng Tao
CLL
27
2
0
09 Sep 2024
An Effective Dynamic Gradient Calibration Method for Continual Learning
An Effective Dynamic Gradient Calibration Method for Continual Learning
Weichen Lin
Jiaxiang Chen
Ru Huang
Huihua Ding
CLL
44
0
0
30 Jul 2024
A Survey of Meta-features Used for Automated Selection of Algorithms for
  Black-box Single-objective Continuous Optimization
A Survey of Meta-features Used for Automated Selection of Algorithms for Black-box Single-objective Continuous Optimization
Gjorgjina Cenikj
Ana Nikolikj
Gašper Petelin
N. V. Stein
Carola Doerr
T. Eftimov
38
1
0
08 Jun 2024
Continual Learning on a Diet: Learning from Sparsely Labeled Streams
  Under Constrained Computation
Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation
Wenxuan Zhang
Youssef Mohamed
Bernard Ghanem
Philip H. S. Torr
Adel Bibi
Mohamed Elhoseiny
CLL
29
5
0
19 Apr 2024
COPR: Continual Human Preference Learning via Optimal Policy
  Regularization
COPR: Continual Human Preference Learning via Optimal Policy Regularization
Han Zhang
Lin Gui
Yu Lei
Yuanzhao Zhai
Yehong Zhang
...
Hui Wang
Yue Yu
Kam-Fai Wong
Bin Liang
Ruifeng Xu
CLL
29
4
0
22 Feb 2024
HPCR: Holistic Proxy-based Contrastive Replay for Online Continual Learning
HPCR: Holistic Proxy-based Contrastive Replay for Online Continual Learning
Huiwei Lin
Shanshan Feng
Baoquan Zhang
Xutao Li
Y. Ong
CLL
25
0
0
26 Sep 2023
Clustering-based Domain-Incremental Learning
Clustering-based Domain-Incremental Learning
Christiaan Lamers
René Vidal
A. Belbachir
N. V. Stein
Thomas Baeck
Paris Giampouras
CLL
OOD
8
10
0
21 Sep 2023
Online Continual Learning on Hierarchical Label Expansion
Online Continual Learning on Hierarchical Label Expansion
Byung Hyun Lee
Ok-Cheol Jung
Jonghyun Choi
S. Chun
CLL
14
8
0
28 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
19
22
0
07 Aug 2023
Test-Time Training on Video Streams
Test-Time Training on Video Streams
Renhao Wang
Yu Sun
Yossi Gandelsman
Xinlei Chen
Alexei A. Efros
Alexei A. Efros
Xiaolong Wang
TTA
ViT
3DGS
24
16
0
11 Jul 2023
Prediction Error-based Classification for Class-Incremental Learning
Prediction Error-based Classification for Class-Incremental Learning
Michal Zajkac
Tinne Tuytelaars
Gido M. van de Ven
CLL
18
8
0
30 May 2023
Learning without Forgetting for Vision-Language Models
Learning without Forgetting for Vision-Language Models
Da-Wei Zhou
Yuanhan Zhang
Jingyi Ning
Jingyi Ning
De-Chuan Zhan
De-Chuan Zhan
Ziwei Liu
VLM
CLL
66
37
0
30 May 2023
Online Reinforcement Learning in Non-Stationary Context-Driven Environments
Online Reinforcement Learning in Non-Stationary Context-Driven Environments
Pouya Hamadanian
Arash Nasr-Esfahany
Malte Schwarzkopf
Siddartha Sen
MohammadIman Alizadeh
CLL
OffRL
40
0
0
04 Feb 2023
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
27
20
0
07 Nov 2022
E2-AEN: End-to-End Incremental Learning with Adaptively Expandable
  Network
E2-AEN: End-to-End Incremental Learning with Adaptively Expandable Network
Guimei Cao
Zhanzhan Cheng
Yunlu Xu
Duo Li
Shiliang Pu
Yi Niu
Fei Wu
CLL
15
2
0
14 Jul 2022
Contrastive Supervised Distillation for Continual Representation
  Learning
Contrastive Supervised Distillation for Continual Representation Learning
Tommaso Barletti
Niccoló Biondi
F. Pernici
Matteo Bruni
A. Bimbo
CLL
11
7
0
11 May 2022
Forgetting and Imbalance in Robot Lifelong Learning with Off-policy Data
Forgetting and Imbalance in Robot Lifelong Learning with Off-policy Data
Wenxuan Zhou
Steven Bohez
Jan Humplik
A. Abdolmaleki
Dushyant Rao
Markus Wulfmeier
Tuomas Haarnoja
N. Heess
OffRL
19
6
0
12 Apr 2022
Continual Learning with Invertible Generative Models
Continual Learning with Invertible Generative Models
Jary Pomponi
Simone Scardapane
A. Uncini
BDL
30
3
0
11 Feb 2022
Domain-Aware Continual Zero-Shot Learning
Domain-Aware Continual Zero-Shot Learning
Kai Yi
Paul Janson
Wenxuan Zhang
Mohamed Elhoseiny
30
4
0
24 Dec 2021
Is Class-Incremental Enough for Continual Learning?
Is Class-Incremental Enough for Continual Learning?
Andrea Cossu
G. Graffieti
Lorenzo Pellegrini
Davide Maltoni
D. Bacciu
Antonio Carta
Vincenzo Lomonaco
CLL
33
30
0
06 Dec 2021
Towards a theory of out-of-distribution learning
Towards a theory of out-of-distribution learning
Jayanta Dey
Ali Geisa
Ronak D. Mehta
Tyler M. Tomita
Hayden S. Helm
Haoyin Xu
Eric Eaton
Jeffery Dick
Carey E. Priebe
Joshua T. Vogelstein
OOD
20
20
0
29 Sep 2021
Prototype-Guided Memory Replay for Continual Learning
Prototype-Guided Memory Replay for Continual Learning
Stella Ho
Ming Liu
Lan Du
Longxiang Gao
Yong Xiang
CLL
8
29
0
28 Aug 2021
Self-learning sparse PCA for multimode process monitoring
Self-learning sparse PCA for multimode process monitoring
Jingxin Zhang
Donghua Zhou
Maoyin Chen
23
14
0
07 Aug 2021
Class-Incremental Experience Replay for Continual Learning under Concept
  Drift
Class-Incremental Experience Replay for Continual Learning under Concept Drift
Lukasz Korycki
Bartosz Krawczyk
8
31
0
24 Apr 2021
New Insights on Reducing Abrupt Representation Change in Online
  Continual Learning
New Insights on Reducing Abrupt Representation Change in Online Continual Learning
Lucas Page-Caccia
Rahaf Aljundi
Nader Asadi
Tinne Tuytelaars
Joelle Pineau
Eugene Belilovsky
CLL
19
184
0
11 Apr 2021
Online Continual Learning under Extreme Memory Constraints
Online Continual Learning under Extreme Memory Constraints
Enrico Fini
Stéphane Lathuilière
E. Sangineto
Moin Nabi
Elisa Ricci
CLL
14
62
0
04 Aug 2020
Graph-Based Continual Learning
Graph-Based Continual Learning
Binh Tang
David S. Matteson
BDL
CLL
11
36
0
09 Jul 2020
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of
  Gaussian Processes
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes
Mengdi Xu
Wenhao Ding
Jiacheng Zhu
Zuxin Liu
Baiming Chen
Ding Zhao
CLL
OffRL
13
34
0
19 Jun 2020
Conditional Channel Gated Networks for Task-Aware Continual Learning
Conditional Channel Gated Networks for Task-Aware Continual Learning
Davide Abati
Jakub M. Tomczak
Tijmen Blankevoort
Simone Calderara
Rita Cucchiara
B. Bejnordi
CLL
17
184
0
31 Mar 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 H. S. Torr
David Lopez-Paz
KELM
CLL
6
233
0
19 Feb 2020
A Neural Dirichlet Process Mixture Model for Task-Free Continual
  Learning
A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning
Soochan Lee
Junsoo Ha
Dongsu Zhang
Gunhee Kim
BDL
CLL
11
207
0
03 Jan 2020
REMIND Your Neural Network to Prevent Catastrophic Forgetting
REMIND Your Neural Network to Prevent Catastrophic Forgetting
Tyler L. Hayes
Kushal Kafle
Robik Shrestha
Manoj Acharya
Christopher Kanan
CLL
23
291
0
06 Oct 2019
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