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Task-Free Continual Learning

Task-Free Continual Learning

10 December 2018
Rahaf Aljundi
Klaas Kelchtermans
Tinne Tuytelaars
    CLL
ArXivPDFHTML

Papers citing "Task-Free Continual Learning"

50 / 219 papers shown
Title
Reinforced Interactive Continual Learning via Real-time Noisy Human Feedback
Reinforced Interactive Continual Learning via Real-time Noisy Human Feedback
Yutao Yang
Jie Zhou
Junsong Li
Qianjun Pan
Bihao Zhan
Qin Chen
Xipeng Qiu
Liang He
CLL
29
0
0
15 May 2025
Continual Reinforcement Learning via Autoencoder-Driven Task and New Environment Recognition
Continual Reinforcement Learning via Autoencoder-Driven Task and New Environment Recognition
Zeki Doruk Erden
Donia Gasmi
Boi Faltings
CLL
31
0
0
13 May 2025
Autoencoder-Based Hybrid Replay for Class-Incremental Learning
Autoencoder-Based Hybrid Replay for Class-Incremental Learning
Milad Khademi Nori
Il Kim
Guanghui Wang
CLL
50
0
0
09 May 2025
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
41
0
0
29 Apr 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
29
0
0
18 Apr 2025
Explainability and Continual Learning meet Federated Learning at the Network Edge
Explainability and Continual Learning meet Federated Learning at the Network Edge
Thomas Tsouparopoulos
Iordanis Koutsopoulos
FedML
39
0
0
11 Apr 2025
Optimized 3D Gaussian Splatting using Coarse-to-Fine Image Frequency Modulation
Optimized 3D Gaussian Splatting using Coarse-to-Fine Image Frequency Modulation
Umar Farooq
Jean-Yves Guillemaut
Adrian Hilton
M. Volino
3DGS
72
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
Joost van de Weijer
Andrew D. Bagdanov
45
0
0
13 Mar 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
153
2
0
10 Mar 2025
Online Prototypes and Class-Wise Hypergradients for Online Continual Learning with Pre-Trained Models
Online Prototypes and Class-Wise Hypergradients for Online Continual Learning with Pre-Trained Models
Nicolas Michel
Maorong Wang
Jiangpeng He
Toshihiko Yamasaki
CLL
59
0
0
26 Feb 2025
Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting
Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting
Ruichu Cai
Haiqin Huang
Zhifang Jiang
Zijian Li
Changze Zhou
Yuequn Liu
Yuming Liu
Zhifeng Hao
AI4TS
CML
58
1
0
18 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
38
0
0
18 Feb 2025
Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning
Online Curvature-Aware Replay: Leveraging 2nd\mathbf{2^{nd}}2nd Order Information for Online Continual Learning
Edoardo Urettini
Antonio Carta
73
0
0
03 Feb 2025
Adaptive Rank, Reduced Forgetting: Knowledge Retention in Continual Learning Vision-Language Models with Dynamic Rank-Selective LoRA
Adaptive Rank, Reduced Forgetting: Knowledge Retention in Continual Learning Vision-Language Models with Dynamic Rank-Selective LoRA
Haodong Lu
Chongyang Zhao
Jason Xue
Lina Yao
Kristen Moore
Dong Gong
VLM
KELM
CLL
88
3
0
01 Dec 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
42
2
0
08 Nov 2024
Task Confusion and Catastrophic Forgetting in Class-Incremental
  Learning: A Mathematical Framework for Discriminative and Generative
  Modelings
Task Confusion and Catastrophic Forgetting in Class-Incremental Learning: A Mathematical Framework for Discriminative and Generative Modelings
Milad Khademi Nori
Il Kim
CLL
44
3
0
28 Oct 2024
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
39
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
46
0
0
10 Oct 2024
Online Control-Informed Learning
Online Control-Informed Learning
Zihao Liang
Tianyu Zhou
Zehui Lu
Shaoshuai Mou
33
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
76
2
0
01 Oct 2024
Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online
  Continual Learning
Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning
Xinrui Wang
Chuanxing Geng
Wenhai Wan
Shao-yuan Li
Songcan Chen
CLL
39
2
0
28 Sep 2024
Patch-Based Contrastive Learning and Memory Consolidation for Online
  Unsupervised Continual Learning
Patch-Based Contrastive Learning and Memory Consolidation for Online Unsupervised Continual Learning
Cameron Taylor
Vassilis Vassiliades
C. Dovrolis
CLL
31
0
0
24 Sep 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
37
2
0
09 Sep 2024
Towards General Industrial Intelligence: A Survey on IIoT-Enhanced
  Continual Large Models
Towards General Industrial Intelligence: A Survey on IIoT-Enhanced Continual Large Models
Jiao Chen
Jiayi He
Fangfang Chen
Zuohong Lv
Jianhua Tang
Weihua Li
Zuozhu Liu
Howard H. Yang
Guangjie Han
AI4CE
36
1
0
02 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
Improving GPU Multi-Tenancy Through Dynamic Multi-Instance GPU
  Reconfiguration
Improving GPU Multi-Tenancy Through Dynamic Multi-Instance GPU Reconfiguration
Tianyu Wang
Sheng Li
Bingyao Li
Yuezhen Dai
Ao Li
Geng Yuan
Yufei Ding
Youtao Zhang
Xulong Tang
40
0
0
18 Jul 2024
iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental
  Learning
iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning
Tom Fischer
Yaoyao Liu
Artur Jesslen
Noor Ahmed
Prakhar Kaushik
Angtian Wang
Alan L. Yuille
Adam Kortylewski
Eddy Ilg
CLL
AI4CE
40
1
0
12 Jul 2024
PECTP: Parameter-Efficient Cross-Task Prompts for Incremental Vision
  Transformer
PECTP: Parameter-Efficient Cross-Task Prompts for Incremental Vision Transformer
Qian Feng
Hanbin Zhao
Chao Zhang
Jiahua Dong
Henghui Ding
Yu-Gang Jiang
Hui Qian
VLM
39
3
0
04 Jul 2024
IWISDM: Assessing instruction following in multimodal models at scale
IWISDM: Assessing instruction following in multimodal models at scale
Xiaoxuan Lei
Lucas Gomez
Hao Yuan Bai
P. Bashivan
VLM
33
1
0
20 Jun 2024
Online DPO: Online Direct Preference Optimization with Fast-Slow Chasing
Online DPO: Online Direct Preference Optimization with Fast-Slow Chasing
Biqing Qi
Pengfei Li
Fangyuan Li
Junqi Gao
Kaiyan Zhang
Bowen Zhou
32
11
0
08 Jun 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
Niki van Stein
Carola Doerr
T. Eftimov
51
1
0
08 Jun 2024
Eliciting the Priors of Large Language Models using Iterated In-Context
  Learning
Eliciting the Priors of Large Language Models using Iterated In-Context Learning
Jian-Qiao Zhu
Thomas L. Griffiths
BDL
45
2
0
04 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
Statistical Context Detection for Deep Lifelong Reinforcement Learning
Statistical Context Detection for Deep Lifelong Reinforcement Learning
Jeffery Dick
Saptarshi Nath
Christos Peridis
Eseoghene Ben-Iwhiwhu
Soheil Kolouri
Andrea Soltoggio
OffRL
53
0
0
29 May 2024
Task agnostic continual learning with Pairwise layer architecture
Task agnostic continual learning with Pairwise layer architecture
Santtu Keskinen
CLL
37
1
0
22 May 2024
Cyclical Weight Consolidation: Towards Solving Catastrophic Forgetting
  in Serial Federated Learning
Cyclical Weight Consolidation: Towards Solving Catastrophic Forgetting in Serial Federated Learning
Haoyue Song
Jiacheng Wang
Liansheng Wang
21
0
0
17 May 2024
Densely Distilling Cumulative Knowledge for Continual Learning
Densely Distilling Cumulative Knowledge for Continual Learning
Zenglin Shi
Pei Liu
Tong Su
Yunpeng Wu
Kuien Liu
Yu Song
Meng Wang
CLL
41
0
0
16 May 2024
A Methodology-Oriented Study of Catastrophic Forgetting in Incremental
  Deep Neural Networks
A Methodology-Oriented Study of Catastrophic Forgetting in Incremental Deep Neural Networks
Ashutosh Kumar
Sonali Agarwal
D. J. Hemanth
43
0
0
11 May 2024
Integrating Present and Past in Unsupervised Continual Learning
Integrating Present and Past in Unsupervised Continual Learning
Yipeng Zhang
Laurent Charlin
R. Zemel
Mengye Ren
CLL
43
3
0
29 Apr 2024
I2CANSAY:Inter-Class Analogical Augmentation and Intra-Class
  Significance Analysis for Non-Exemplar Online Task-Free Continual Learning
I2CANSAY:Inter-Class Analogical Augmentation and Intra-Class Significance Analysis for Non-Exemplar Online Task-Free Continual Learning
Songlin Dong
Yingjie Chen
Yuhang He
Yuhan Jin
Alex C. Kot
Yihong Gong
CLL
26
0
0
21 Apr 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
Guohao Li
Philip Torr
Adel Bibi
Mohamed Elhoseiny
CLL
48
5
0
19 Apr 2024
Addressing Loss of Plasticity and Catastrophic Forgetting in Continual
  Learning
Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning
Mohamed Elsayed
A. R. Mahmood
CLL
50
20
0
31 Mar 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
VLM
CLL
LRM
45
12
0
29 Mar 2024
Selective Attention-based Modulation for Continual Learning
Selective Attention-based Modulation for Continual Learning
Giovanni Bellitto
Federica Proietto Salanitri
M. Pennisi
Matteo Boschini
Angelo Porrello
Simone Calderara
S. Palazzo
C. Spampinato
CLL
47
1
0
29 Mar 2024
Enhancing Generative Class Incremental Learning Performance with Model
  Forgetting Approach
Enhancing Generative Class Incremental Learning Performance with Model Forgetting Approach
Taro Togo
Ren Togo
Keisuke Maeda
Takahiro Ogawa
Miki Haseyama
31
1
0
27 Mar 2024
Continual Vision-and-Language Navigation
Continual Vision-and-Language Navigation
Seongjun Jeong
Gi-Cheon Kang
Seongho Choi
Joochan Kim
Byoung-Tak Zhang
43
2
0
22 Mar 2024
Addressing Concept Shift in Online Time Series Forecasting:
  Detect-then-Adapt
Addressing Concept Shift in Online Time Series Forecasting: Detect-then-Adapt
Yi-Fan Zhang
Weiqiu Chen
Zhaoyang Zhu
Dalin Qin
Liang Sun
Xue Wang
Qingsong Wen
Zhang Zhang
Liang Wang
Rong Jin
AI4TS
39
1
0
22 Mar 2024
Text-Enhanced Data-free Approach for Federated Class-Incremental
  Learning
Text-Enhanced Data-free Approach for Federated Class-Incremental Learning
Minh-Tuan Tran
Trung Le
Xuan-May Le
Mehrtash Harandi
Dinh Q. Phung
CLL
40
6
0
21 Mar 2024
Expandable Subspace Ensemble for Pre-Trained Model-Based
  Class-Incremental Learning
Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning
Da-Wei Zhou
Hai-Long Sun
Han-Jia Ye
De-Chuan Zhan
CLL
38
54
0
18 Mar 2024
Open Continual Feature Selection via Granular-Ball Knowledge Transfer
Open Continual Feature Selection via Granular-Ball Knowledge Transfer
Xuemei Cao
Xin Yang
Shuyin Xia
Guoyin Wang
Tianrui Li
CLL
32
2
0
15 Mar 2024
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