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Compacting, Picking and Growing for Unforgetting Continual Learning

Compacting, Picking and Growing for Unforgetting Continual Learning

15 October 2019
Steven C. Y. Hung
Cheng-Hao Tu
Cheng-En Wu
Chien-Hung Chen
Yi-Ming Chan
Chu-Song Chen
    CLL
ArXivPDFHTML

Papers citing "Compacting, Picking and Growing for Unforgetting Continual Learning"

50 / 66 papers shown
Title
Onboard Optimization and Learning: A Survey
Onboard Optimization and Learning: A Survey
Monirul Islam Pavel
Siyi Hu
Mahardhika Pratama
Ryszard Kowalczyk
26
0
0
07 May 2025
Continual Multimodal Contrastive Learning
Continual Multimodal Contrastive Learning
Xiaohao Liu
Xiaobo Xia
See-Kiong Ng
Tat-Seng Chua
CLL
59
0
0
19 Mar 2025
Incrementally Learning Multiple Diverse Data Domains via Multi-Source Dynamic Expansion Model
Incrementally Learning Multiple Diverse Data Domains via Multi-Source Dynamic Expansion Model
RunQing Wu
Fei Ye
QiHe Liu
Guoxi Huang
Jinyu Guo
Rongyao Hu
CLL
250
0
0
15 Jan 2025
RECAST: Reparameterized, Compact weight Adaptation for Sequential Tasks
RECAST: Reparameterized, Compact weight Adaptation for Sequential Tasks
Nazia Tasnim
Bryan A. Plummer
CLL
OffRL
74
0
0
25 Nov 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
49
0
0
10 Oct 2024
Continual Learning: Less Forgetting, More OOD Generalization via
  Adaptive Contrastive Replay
Continual Learning: Less Forgetting, More OOD Generalization via Adaptive Contrastive Replay
Hossein Rezaei
Mohammad Sabokrou
CLL
37
0
0
09 Oct 2024
Balanced Residual Distillation Learning for 3D Point Cloud Class-Incremental Semantic Segmentation
Balanced Residual Distillation Learning for 3D Point Cloud Class-Incremental Semantic Segmentation
Yuanzhi Su
Siyuan Chen
Yuan-Gen Wang
CLL
39
2
0
02 Aug 2024
Towards Generalizable Reinforcement Learning via Causality-Guided Self-Adaptive Representations
Yupei Yang
Erdun Gao
Fan Feng
Xinyue Wang
Shikui Tu
Lei Xu
CML
OOD
TTA
43
1
0
30 Jul 2024
Forbes: Face Obfuscation Rendering via Backpropagation Refinement Scheme
Forbes: Face Obfuscation Rendering via Backpropagation Refinement Scheme
Jintae Kim
Seungwon yang
Seongyeob Jeong
Chang-Su Kim
CVBM
AAML
DiffM
40
0
0
19 Jul 2024
Early Preparation Pays Off: New Classifier Pre-tuning for Class
  Incremental Semantic Segmentation
Early Preparation Pays Off: New Classifier Pre-tuning for Class Incremental Semantic Segmentation
Zhengyuan Xie
Haiquan Lu
Jia-Wen Xiao
Enguang Wang
Le Zhang
Xialei Liu
CLL
35
2
0
19 Jul 2024
HateDebias: On the Diversity and Variability of Hate Speech Debiasing
HateDebias: On the Diversity and Variability of Hate Speech Debiasing
Nankai Lin
Hongyan Wu
Zhengming Chen
Zijian Li
Lianxi Wang
Shengyi Jiang
Dong Zhou
Aimin Yang
41
0
0
07 Jun 2024
MuseumMaker: Continual Style Customization without Catastrophic
  Forgetting
MuseumMaker: Continual Style Customization without Catastrophic Forgetting
Chenxi Liu
Gan Sun
Wenqi Liang
Jiahua Dong
Can Qin
Yang Cong
DiffM
50
3
0
25 Apr 2024
Brain-Inspired Continual Learning-Robust Feature Distillation and
  Re-Consolidation for Class Incremental Learning
Brain-Inspired Continual Learning-Robust Feature Distillation and Re-Consolidation for Class Incremental Learning
Hikmat Khan
N. Bouaynaya
Ghulam Rasool
CLL
38
1
0
22 Apr 2024
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
Huiyi Wang
Haodong Lu
Lina Yao
Dong Gong
KELM
CLL
50
9
0
27 Mar 2024
Reset & Distill: A Recipe for Overcoming Negative Transfer in Continual
  Reinforcement Learning
Reset & Distill: A Recipe for Overcoming Negative Transfer in Continual Reinforcement Learning
Hongjoon Ahn
Jinu Hyeon
Youngmin Oh
Bosun Hwang
Taesup Moon
CLL
OnRL
39
2
0
08 Mar 2024
Doubly Perturbed Task Free Continual Learning
Doubly Perturbed Task Free Continual Learning
Byung Hyun Lee
Min-hwan Oh
Se Young Chun
32
3
0
20 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
37
0
0
22 Nov 2023
Continual atlas-based segmentation of prostate MRI
Continual atlas-based segmentation of prostate MRI
Amin Ranem
Camila González
Daniel Pinto dos Santos
Andreas M. Bucher
Ahmed Othman
Anirban Mukhopadhyay
25
4
0
01 Nov 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
Federated Class-Incremental Learning with Prompting
Federated Class-Incremental Learning with Prompting
Jiale Liu
Yu-Wei Zhan
Chong-Yu Zhang
Xin Luo
Zhen-Duo Chen
Yinwei Wei
CLL
FedML
29
2
0
13 Oct 2023
Elephant Neural Networks: Born to Be a Continual Learner
Elephant Neural Networks: Born to Be a Continual Learner
Qingfeng Lan
A. Rupam Mahmood
CLL
56
9
0
02 Oct 2023
Heterogeneous Forgetting Compensation for Class-Incremental Learning
Heterogeneous Forgetting Compensation for Class-Incremental Learning
Jiahua Dong
Wenqi Liang
Yang Cong
Gan Sun
CLL
28
19
0
07 Aug 2023
SRIL: Selective Regularization for Class-Incremental Learning
SRIL: Selective Regularization for Class-Incremental Learning
Jisu Han
Jaemin Na
Wonjun Hwang
CLL
29
0
0
09 May 2023
Non-exemplar Class-incremental Learning by Random Auxiliary Classes
  Augmentation and Mixed Features
Non-exemplar Class-incremental Learning by Random Auxiliary Classes Augmentation and Mixed Features
Kenny Song
Quan Xia
Guoqiang Liang
Zhaoji Chen
Yanning Zhang
CLL
33
6
0
16 Apr 2023
How Efficient Are Today's Continual Learning Algorithms?
How Efficient Are Today's Continual Learning Algorithms?
Md Yousuf Harun
Jhair Gallardo
Tyler L. Hayes
Christopher Kanan
26
24
0
29 Mar 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
Leveraging Old Knowledge to Continually Learn New Classes in Medical
  Images
Leveraging Old Knowledge to Continually Learn New Classes in Medical Images
Evelyn Chee
Mong Li Lee
Wynne Hsu
CLL
13
7
0
24 Mar 2023
Provable Pathways: Learning Multiple Tasks over Multiple Paths
Provable Pathways: Learning Multiple Tasks over Multiple Paths
Yingcong Li
Samet Oymak
MoE
29
4
0
08 Mar 2023
Task-Aware Information Routing from Common Representation Space in
  Lifelong Learning
Task-Aware Information Routing from Common Representation Space in Lifelong Learning
Prashant Shivaram Bhat
Bahram Zonooz
Elahe Arani
CLL
18
25
0
14 Feb 2023
Neural Weight Search for Scalable Task Incremental Learning
Neural Weight Search for Scalable Task Incremental Learning
Jian Jiang
Oya Celiktutan
CLL
27
7
0
24 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
37
69
0
23 Nov 2022
Unveiling the Tapestry: the Interplay of Generalization and Forgetting
  in Continual Learning
Unveiling the Tapestry: the Interplay of Generalization and Forgetting in Continual Learning
Zenglin Shi
Jing Jie
Ying Sun
J. Lim
Mengmi Zhang
CLL
44
1
0
21 Nov 2022
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
27
71
0
04 Nov 2022
Continual Learning by Modeling Intra-Class Variation
Continual Learning by Modeling Intra-Class Variation
L. Yu
Tianyang Hu
Lanqing Hong
Zhen Liu
Adrian Weller
Weiyang Liu
CLL
56
12
0
11 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
33
2
0
03 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
18
8
0
23 Sep 2022
Forgetting to Remember: A Scalable Incremental Learning Framework for
  Cross-Task Blind Image Quality Assessment
Forgetting to Remember: A Scalable Incremental Learning Framework for Cross-Task Blind Image Quality Assessment
Rui Ma
Qingbo Wu
K. Ngan
Hongliang Li
Fanman Meng
Linfeng Xu
CLL
34
15
0
15 Sep 2022
A Theory for Knowledge Transfer in Continual Learning
A Theory for Knowledge Transfer in Continual Learning
Diana Benavides-Prado
Patricia J. Riddle
CLL
34
13
0
14 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
26
20
0
09 Aug 2022
Progressive Voronoi Diagram Subdivision: Towards A Holistic Geometric
  Framework for Exemplar-free Class-Incremental Learning
Progressive Voronoi Diagram Subdivision: Towards A Holistic Geometric Framework for Exemplar-free Class-Incremental Learning
Chunwei Ma
Zhanghexuan Ji
Ziyun Huang
Yan Shen
Mingchen Gao
Jinhui Xu
33
1
0
28 Jul 2022
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for
  Domain Incremental Learning
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning
Yabin Wang
Zhiwu Huang
Xiaopeng Hong
CLL
VLM
27
213
0
26 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
Towards Diverse Evaluation of Class Incremental Learning: A
  Representation Learning Perspective
Towards Diverse Evaluation of Class Incremental Learning: A Representation Learning Perspective
Sungmin Cha
Jihwan Kwak
Dongsub Shim
Hyunwoo J. Kim
Moontae Lee
Honglak Lee
Taesup Moon
CLL
30
1
0
16 Jun 2022
FOSTER: Feature Boosting and Compression for Class-Incremental Learning
FOSTER: Feature Boosting and Compression for Class-Incremental Learning
Fu Lee Wang
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
CLL
30
242
0
10 Apr 2022
Class-Incremental Learning with Strong Pre-trained Models
Class-Incremental Learning with Strong Pre-trained Models
Tz-Ying Wu
Gurumurthy Swaminathan
Zhizhong Li
Avinash Ravichandran
Nuno Vasconcelos
Rahul Bhotika
Stefano Soatto
CLL
32
67
0
07 Apr 2022
Meta-attention for ViT-backed Continual Learning
Meta-attention for ViT-backed Continual Learning
Mengqi Xue
Haofei Zhang
Mingli Song
Mingli Song
CLL
32
42
0
22 Mar 2022
Graph Lifelong Learning: A Survey
Graph Lifelong Learning: A Survey
F. Febrinanto
Feng Xia
Kristen Moore
Chandra Thapa
Charu C. Aggarwal
CLL
AI4CE
39
51
0
22 Feb 2022
Learnings from Federated Learning in the Real world
Learnings from Federated Learning in the Real world
Christophe Dupuy
Tanya Roosta
Leo Long
Clement Chung
Rahul Gupta
A. Avestimehr
FedML
25
10
0
08 Feb 2022
PaRT: Parallel Learning Towards Robust and Transparent AI
PaRT: Parallel Learning Towards Robust and Transparent AI
Mahsa Paknezhad
Hamsawardhini Rengarajan
Chenghao Yuan
Sujanya Suresh
Manas Gupta
Savitha Ramasamy
Hwee Kuan Lee
OOD
38
1
0
24 Jan 2022
Exemplar-free Class Incremental Learning via Discriminative and
  Comparable One-class Classifiers
Exemplar-free Class Incremental Learning via Discriminative and Comparable One-class Classifiers
Wenju Sun
Qingyong Li
Jing Zhang
Danyu Wang
Wen Wang
Yangli-ao Geng
BDL
24
3
0
05 Jan 2022
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