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iTAML: An Incremental Task-Agnostic Meta-learning Approach

iTAML: An Incremental Task-Agnostic Meta-learning Approach

25 March 2020
Jathushan Rajasegaran
Salman Khan
Munawar Hayat
F. Khan
M. Shah
    CLL
    OOD
ArXivPDFHTML

Papers citing "iTAML: An Incremental Task-Agnostic Meta-learning Approach"

50 / 90 papers shown
Title
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
iADCPS: Time Series Anomaly Detection for Evolving Cyber-physical Systems via Incremental Meta-learning
iADCPS: Time Series Anomaly Detection for Evolving Cyber-physical Systems via Incremental Meta-learning
Jiyu Tian
Mingchu Li
Liming Chen
Z. Wang
AI4TS
21
0
0
06 Apr 2025
MetaXCR: Reinforcement-Based Meta-Transfer Learning for Cross-Lingual Commonsense Reasoning
Jie He
Yu Fu
OffRL
LRM
60
2
0
09 Mar 2025
Achieving Upper Bound Accuracy of Joint Training in Continual Learning
Achieving Upper Bound Accuracy of Joint Training in Continual Learning
Saleh Momeni
Bing Liu
CLL
82
1
0
17 Feb 2025
In-context Continual Learning Assisted by an External Continual Learner
In-context Continual Learning Assisted by an External Continual Learner
Saleh Momeni
Sahisnu Mazumder
Zixuan Ke
Bing Liu
CLL
88
0
0
20 Dec 2024
Class Incremental Learning with Task-Specific Batch Normalization and
  Out-of-Distribution Detection
Class Incremental Learning with Task-Specific Batch Normalization and Out-of-Distribution Detection
Xuchen Xie
Yiqiao Qiu
Run Lin
Weishi Zheng
Ruixuan Wang
CLL
50
0
0
01 Nov 2024
Collaborative Knowledge Distillation via a Learning-by-Education Node
  Community
Collaborative Knowledge Distillation via a Learning-by-Education Node Community
Anestis Kaimakamidis
Ioannis Mademlis
Ioannis Pitas
25
0
0
30 Sep 2024
FewShotNeRF: Meta-Learning-based Novel View Synthesis for Rapid
  Scene-Specific Adaptation
FewShotNeRF: Meta-Learning-based Novel View Synthesis for Rapid Scene-Specific Adaptation
Piraveen Sivakumar
Paul Janson
Jathushan Rajasegaran
Thanuja D. Ambegoda
35
1
0
09 Aug 2024
Constructing Enhanced Mutual Information for Online Class-Incremental
  Learning
Constructing Enhanced Mutual Information for Online Class-Incremental Learning
Huan Zhang
Fan Lyu
Shenghua Fan
Yujin Zheng
Dingwen Wang
CLL
35
0
0
26 Jul 2024
Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for
  Few-Shot Class-Incremental Learning
Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning
Xiaojie Li
Yibo Yang
Jianlong Wu
Bernard Ghanem
Liqiang Nie
Min Zhang
Mamba
36
5
0
08 Jul 2024
Confidence-Based Task Prediction in Continual Disease Classification
  Using Probability Distribution
Confidence-Based Task Prediction in Continual Disease Classification Using Probability Distribution
Tanvi Verma
Lukas Schwemer
Mingrui Tan
Fei Gao
Yong Liu
Huazhu Fu
OOD
24
1
0
03 Jun 2024
FOCIL: Finetune-and-Freeze for Online Class Incremental Learning by
  Training Randomly Pruned Sparse Experts
FOCIL: Finetune-and-Freeze for Online Class Incremental Learning by Training Randomly Pruned Sparse Experts
Murat Onur Yildirim
Elif Ceren Gok Yildirim
D. Mocanu
Joaquin Vanschoren
CLL
36
0
0
13 Mar 2024
OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free
  Class-Incremental Learning
OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning
Wei-Cheng Huang
Chun-Fu Chen
Hsiang Hsu
VLM
20
11
0
06 Feb 2024
Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
Everton L. Aleixo
J. Colonna
Marco Cristo
Everlandio Fernandes
CLL
50
21
0
16 Dec 2023
Continual learning for surface defect segmentation by subnetwork
  creation and selection
Continual learning for surface defect segmentation by subnetwork creation and selection
Aleksandr Dekhovich
Miguel A. Bessa
CLL
24
3
0
08 Dec 2023
Efficient Expansion and Gradient Based Task Inference for Replay Free
  Incremental Learning
Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning
Soumya Roy
Vinay K. Verma
Deepak Gupta
CLL
29
2
0
02 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
22
0
0
22 Nov 2023
When Meta-Learning Meets Online and Continual Learning: A Survey
When Meta-Learning Meets Online and Continual Learning: A Survey
Jaehyeon Son
Soochan Lee
Gunhee Kim
OOD
CLL
32
10
0
09 Nov 2023
Class Incremental Learning via Likelihood Ratio Based Task Prediction
Class Incremental Learning via Likelihood Ratio Based Task Prediction
Haowei Lin
Yijia Shao
W. Qian
Ningxin Pan
Yiduo Guo
Bing-Quan Liu
CLL
24
13
0
26 Sep 2023
When Prompt-based Incremental Learning Does Not Meet Strong Pretraining
When Prompt-based Incremental Learning Does Not Meet Strong Pretraining
Yuyao Tang
Yifan Peng
Weiwen Zheng
CLL
VLM
28
32
0
21 Aug 2023
Improving Performance in Continual Learning Tasks using Bio-Inspired
  Architectures
Improving Performance in Continual Learning Tasks using Bio-Inspired Architectures
Sandeep Madireddy
A. Yanguas-Gil
Prasanna Balaprakash
CLL
11
1
0
08 Aug 2023
Random Boxes Are Open-world Object Detectors
Random Boxes Are Open-world Object Detectors
Yanghao Wang
Zhongqi Yue
Xiansheng Hua
Hanwang Zhang
ObjD
21
17
0
17 Jul 2023
Learnability and Algorithm for Continual Learning
Learnability and Algorithm for Continual Learning
Gyuhak Kim
Changnan Xiao
Tatsuya Konishi
Bin Liu
CLL
31
24
0
22 Jun 2023
TransCoder: Towards Unified Transferable Code Representation Learning
  Inspired by Human Skills
TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills
Qiushi Sun
Nuo Chen
J. Wang
Xiang Li
Ming Gao
21
8
0
23 May 2023
AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning
AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning
Runqi Wang
Xiaoyue Duan
Guoliang Kang
Jianzhuang Liu
Shaohui Lin
Songcen Xu
Jinhu Lv
Baochang Zhang
CLL
VLM
10
29
0
19 May 2023
Mode-Aware Continual Learning for Conditional Generative Adversarial
  Networks
Mode-Aware Continual Learning for Conditional Generative Adversarial Networks
Cat P. Le
Juncheng Dong
Ahmed Aloui
Vahid Tarokh
TTA
GAN
22
1
0
19 May 2023
Adversary Aware Continual Learning
Adversary Aware Continual Learning
Muhammad Umer
R. Polikar
AAML
17
2
0
27 Apr 2023
Open-World Continual Learning: Unifying Novelty Detection and Continual
  Learning
Open-World Continual Learning: Unifying Novelty Detection and Continual Learning
Gyuhak Kim
Changnan Xiao
Tatsuya Konishi
Zixuan Ke
Bin Liu
CLL
OODD
29
12
0
20 Apr 2023
Computationally Budgeted Continual Learning: What Does Matter?
Computationally Budgeted Continual Learning: What Does Matter?
Ameya Prabhu
Hasan Hammoud
P. Dokania
Philip H. S. Torr
Ser-Nam Lim
Bernard Ghanem
Adel Bibi
CLL
28
61
0
20 Mar 2023
New Insights on Relieving Task-Recency Bias for Online Class Incremental
  Learning
New Insights on Relieving Task-Recency Bias for Online Class Incremental Learning
Guoqiang Liang
Zhaojie Chen
Zhaoqiang Chen
Shiyu Ji
Yanning Zhang
CLL
25
11
0
16 Feb 2023
Online Continual Learning via the Knowledge Invariant and Spread-out
  Properties
Online Continual Learning via the Knowledge Invariant and Spread-out Properties
Ya-nan Han
Jian-wei Liu
CLL
30
7
0
02 Feb 2023
A Comprehensive Survey of Continual Learning: Theory, Method and
  Application
A Comprehensive Survey of Continual Learning: Theory, Method and Application
Liyuan Wang
Xingxing Zhang
Hang Su
Jun Zhu
KELM
CLL
36
598
0
31 Jan 2023
RMM: Reinforced Memory Management for Class-Incremental Learning
RMM: Reinforced Memory Management for Class-Incremental Learning
Yaoyao Liu
Bernt Schiele
Qianru Sun
CLL
21
92
0
14 Jan 2023
A Theoretical Study on Solving Continual Learning
A Theoretical Study on Solving Continual Learning
Gyuhak Kim
Changnan Xiao
Tatsuya Konishi
Zixuan Ke
Bin Liu
CLL
19
70
0
04 Nov 2022
TAME: Task Agnostic Continual Learning using Multiple Experts
TAME: Task Agnostic Continual Learning using Multiple Experts
Haoran Zhu
Maryam Majzoubi
Arihant Jain
A. Choromańska
OOD
9
3
0
08 Oct 2022
Distance Based Image Classification: A solution to generative
  classification's conundrum?
Distance Based Image Classification: A solution to generative classification's conundrum?
Wen-Yan Lin
Siying Liu
B. Dai
Hongdong Li
VLM
35
2
0
04 Oct 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
16
8
0
23 Sep 2022
Online Continual Learning via the Meta-learning Update with Multi-scale
  Knowledge Distillation and Data Augmentation
Online Continual Learning via the Meta-learning Update with Multi-scale Knowledge Distillation and Data Augmentation
Ya-nan Han
Jian-wei Liu
KELM
CLL
33
10
0
12 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
15
0
0
09 Sep 2022
Anti-Retroactive Interference for Lifelong Learning
Anti-Retroactive Interference for Lifelong Learning
Runqi Wang
Yuxiang Bao
Baochang Zhang
Jianzhuang Liu
Wentao Zhu
Guodong Guo
KELM
CLL
13
20
0
27 Aug 2022
SCALE: Online Self-Supervised Lifelong Learning without Prior Knowledge
SCALE: Online Self-Supervised Lifelong Learning without Prior Knowledge
Xiaofan Yu
Yunhui Guo
Sicun Gao
Tajana Simunic
CLL
SSL
28
14
0
24 Aug 2022
A Multi-Head Model for Continual Learning via Out-of-Distribution Replay
A Multi-Head Model for Continual Learning via Out-of-Distribution Replay
Gyuhak Kim
Zixuan Ke
Bin Liu
VLM
CLL
OODD
15
29
0
20 Aug 2022
Continual Prune-and-Select: Class-incremental learning with specialized
  subnetworks
Continual Prune-and-Select: Class-incremental learning with specialized subnetworks
Aleksandr Dekhovich
David Tax
M. Sluiter
Miguel A. Bessa
CLL
21
19
0
09 Aug 2022
Lifelong DP: Consistently Bounded Differential Privacy in Lifelong
  Machine Learning
Lifelong DP: Consistently Bounded Differential Privacy in Lifelong Machine Learning
Phung Lai
Han Hu
Nhathai Phan
Ruoming Jin
My T. Thai
An M. Chen
13
1
0
26 Jul 2022
UC-OWOD: Unknown-Classified Open World Object Detection
UC-OWOD: Unknown-Classified Open World Object Detection
Zhi-zong Wu
Yue Lu
Xingyu Chen
Zhengxing Wu
Liwen Kang
Junzhi Yu
17
55
0
23 Jul 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
Memory Population in Continual Learning via Outlier Elimination
Memory Population in Continual Learning via Outlier Elimination
J. Hurtado
Alain Raymond-Sáez
Vladimir Araujo
Vincenzo Lomonaco
Alvaro Soto
D. Bacciu
25
9
0
04 Jul 2022
TKIL: Tangent Kernel Approach for Class Balanced Incremental Learning
TKIL: Tangent Kernel Approach for Class Balanced Incremental Learning
Jinlin Xiang
Eli Shlizerman
CLL
11
8
0
17 Jun 2022
Continual Object Detection: A review of definitions, strategies, and
  challenges
Continual Object Detection: A review of definitions, strategies, and challenges
Angelo G. Menezes
Gustavo de Moura
Cézanne Alves
André C. P. L. F. de Carvalho
ObjD
55
51
0
30 May 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications,
  Challenges, and Opportunities
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
Yisheng Song
Ting-Yuan Wang
S. Mondal
J. P. Sahoo
SLR
41
342
0
13 May 2022
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