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DualNet: Continual Learning, Fast and Slow

DualNet: Continual Learning, Fast and Slow

1 October 2021
Quang Pham
Chenghao Liu
Guosheng Lin
    CLL
ArXivPDFHTML

Papers citing "DualNet: Continual Learning, Fast and Slow"

36 / 36 papers shown
Title
Continuous Subspace Optimization for Continual Learning
Continuous Subspace Optimization for Continual Learning
Quan Cheng
Yuanyu Wan
Lingyu Wu
Chenping Hou
Lijun Zhang
CLL
2
0
0
17 May 2025
Mastering Continual Reinforcement Learning through Fine-Grained Sparse Network Allocation and Dormant Neuron Exploration
Chengqi Zheng
Haiyan Yin
Jianda Chen
Terence Ng
Yew-Soon Ong
Ivor Tsang
CLL
199
0
0
07 Mar 2025
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
43
0
0
26 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
PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis
PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis
Satoki Ishikawa
Makoto Yamada
Han Bao
Yuki Takezawa
68
0
0
23 May 2024
Neuro-mimetic Task-free Unsupervised Online Learning with Continual
  Self-Organizing Maps
Neuro-mimetic Task-free Unsupervised Online Learning with Continual Self-Organizing Maps
Hitesh U. Vaidya
Travis J. Desell
A. Mali
Alexander Ororbia
CLL
34
2
0
19 Feb 2024
Class incremental learning with probability dampening and cascaded gated
  classifier
Class incremental learning with probability dampening and cascaded gated classifier
Jary Pomponi
Alessio Devoto
Simone Scardapane
CLL
23
0
0
02 Feb 2024
Constructing Sample-to-Class Graph for Few-Shot Class-Incremental
  Learning
Constructing Sample-to-Class Graph for Few-Shot Class-Incremental Learning
Fuyuan Hu
Jian Zhang
Fan Lyu
Linyan Li
Fenglei Xu
CLL
33
3
0
31 Oct 2023
Towards Plastic and Stable Exemplar-Free Incremental Learning: A
  Dual-Learner Framework with Cumulative Parameter Averaging
Towards Plastic and Stable Exemplar-Free Incremental Learning: A Dual-Learner Framework with Cumulative Parameter Averaging
Wenju Sun
Qingyong Li
Wen Wang
Yangli-ao Geng
CLL
MoMe
29
3
0
28 Oct 2023
A Unified Approach to Domain Incremental Learning with Memory: Theory
  and Algorithm
A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm
Haizhou Shi
Hao Wang
CLL
34
19
0
18 Oct 2023
Prompt-augmented Temporal Point Process for Streaming Event Sequence
Prompt-augmented Temporal Point Process for Streaming Event Sequence
Siqiao Xue
Yan Wang
Zhixuan Chu
Xiaoming Shi
Caigao Jiang
Hongyan Hao
Gangwei Jiang
Xiaoyun Feng
James Y. Zhang
Junqing Zhou
AI4TS
32
23
0
08 Oct 2023
Introducing Language Guidance in Prompt-based Continual Learning
Introducing Language Guidance in Prompt-based Continual Learning
Muhammad Gul Zain Ali Khan
Muhammad Ferjad Naeem
Luc Van Gool
D. Stricker
F. Tombari
Muhammad Zeshan Afzal
VLM
CLL
22
46
0
30 Aug 2023
Masked Autoencoders are Efficient Class Incremental Learners
Masked Autoencoders are Efficient Class Incremental Learners
Jiang-Tian Zhai
Xialei Liu
Andrew D. Bagdanov
Ke Li
Mingg-Ming Cheng
CLL
27
13
0
24 Aug 2023
Improving Replay Sample Selection and Storage for Less Forgetting in
  Continual Learning
Improving Replay Sample Selection and Storage for Less Forgetting in Continual Learning
Daniel Brignac
N. Lobo
Abhijit Mahalanobis
KELM
23
11
0
03 Aug 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
15
29
0
19 May 2023
On the Effectiveness of Equivariant Regularization for Robust Online
  Continual Learning
On the Effectiveness of Equivariant Regularization for Robust Online Continual Learning
Lorenzo Bonicelli
Matteo Boschini
Emanuele Frascaroli
Angelo Porrello
M. Pennisi
Giovanni Bellitto
S. Palazzo
C. Spampinato
Simone Calderara
CLL
26
3
0
05 May 2023
DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning
DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning
Zifeng Wang
Zheng Zhan
Yifan Gong
Yucai Shao
Stratis Ioannidis
Yanzhi Wang
Jennifer Dy
CLL
60
11
0
30 Apr 2023
Remind of the Past: Incremental Learning with Analogical Prompts
Remind of the Past: Incremental Learning with Analogical Prompts
Zhiheng Ma
Xiaopeng Hong
Beinan Liu
Yabin Wang
Pinyue Guo
Huiyun Li
CLL
34
1
0
24 Mar 2023
Two-level Graph Network for Few-Shot Class-Incremental Learning
Two-level Graph Network for Few-Shot Class-Incremental Learning
Hao Chen
Linyan Li
Fan Lyu
Fuyuan Hu
Zhenping Xia
Fenglei Xu
CLL
30
0
0
24 Mar 2023
SIESTA: Efficient Online Continual Learning with Sleep
SIESTA: Efficient Online Continual Learning with Sleep
Md Yousuf Harun
Jhair Gallardo
Tyler L. Hayes
Ronald Kemker
Christopher Kanan
CLL
53
19
0
19 Mar 2023
Latent Spectral Regularization for Continual Learning
Latent Spectral Regularization for Continual Learning
Emanuele Frascaroli
Riccardo Benaglia
Matteo Boschini
Luca Moschella
Cosimo Fiorini
Emanuele Rodolà
Simone Calderara
BDL
CLL
32
3
0
09 Jan 2023
Momentum-based Weight Interpolation of Strong Zero-Shot Models for
  Continual Learning
Momentum-based Weight Interpolation of Strong Zero-Shot Models for Continual Learning
Zafir Stojanovski
Karsten Roth
Zeynep Akata
18
16
0
06 Nov 2022
Grow and Merge: A Unified Framework for Continuous Categories Discovery
Grow and Merge: A Unified Framework for Continuous Categories Discovery
Xinwei Zhang
Jianwen Jiang
Yutong Feng
Zhi-Fan Wu
Xibin Zhao
Hai Wan
Mingqian Tang
Rong Jin
Yue Gao
CLL
38
29
0
09 Oct 2022
Continual Learning for Pose-Agnostic Object Recognition in 3D Point
  Clouds
Continual Learning for Pose-Agnostic Object Recognition in 3D Point Clouds
Xihao Wang
Xian Wei
3DPC
38
5
0
11 Sep 2022
Online Continual Learning with Contrastive Vision Transformer
Online Continual Learning with Contrastive Vision Transformer
Zhen Wang
Liu Liu
Yajing Kong
Jiaxian Guo
Dacheng Tao
CLL
21
36
0
24 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
34
27
0
15 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
SYNERgy between SYNaptic consolidation and Experience Replay for general
  continual learning
SYNERgy between SYNaptic consolidation and Experience Replay for general continual learning
F. Sarfraz
Elahe Arani
Bahram Zonooz
CLL
26
11
0
08 Jun 2022
Effects of Auxiliary Knowledge on Continual Learning
Effects of Auxiliary Knowledge on Continual Learning
Giovanni Bellitto
M. Pennisi
S. Palazzo
Lorenzo Bonicelli
Matteo Boschini
Simone Calderara
C. Spampinato
CLL
17
6
0
03 Jun 2022
DualPrompt: Complementary Prompting for Rehearsal-free Continual
  Learning
DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning
Zifeng Wang
Zizhao Zhang
Sayna Ebrahimi
Ruoxi Sun
Han Zhang
...
Xiaoqi Ren
Guolong Su
Vincent Perot
Jennifer Dy
Tomas Pfister
CLL
VLM
VPVLM
36
460
0
10 Apr 2022
Continual Normalization: Rethinking Batch Normalization for Online
  Continual Learning
Continual Normalization: Rethinking Batch Normalization for Online Continual Learning
Quang Pham
Chenghao Liu
Guosheng Lin
BDL
OnRL
38
57
0
30 Mar 2022
Learning Fast and Slow for Online Time Series Forecasting
Learning Fast and Slow for Online Time Series Forecasting
Quang Pham
Chenghao Liu
Doyen Sahoo
Guosheng Lin
TTA
AI4TS
28
31
0
23 Feb 2022
Learning Fast, Learning Slow: A General Continual Learning Method based
  on Complementary Learning System
Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Learning System
Elahe Arani
F. Sarfraz
Bahram Zonooz
CLL
93
123
0
29 Jan 2022
Complementary Calibration: Boosting General Continual Learning with
  Collaborative Distillation and Self-Supervision
Complementary Calibration: Boosting General Continual Learning with Collaborative Distillation and Self-Supervision
Zhong Ji
Jin Li
Qiang Wang
Zhongfei Zhang
CLL
25
18
0
03 Sep 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
389
11,700
0
09 Mar 2017
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,638
0
03 Jul 2012
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