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Rainbow Memory: Continual Learning with a Memory of Diverse Samples

Rainbow Memory: Continual Learning with a Memory of Diverse Samples

31 March 2021
Jihwan Bang
Heesu Kim
Y. Yoo
Jung-Woo Ha
Jonghyun Choi
    CLL
ArXivPDFHTML

Papers citing "Rainbow Memory: Continual Learning with a Memory of Diverse Samples"

50 / 66 papers shown
Title
Self-Controlled Dynamic Expansion Model for Continual Learning
Self-Controlled Dynamic Expansion Model for Continual Learning
RunQing Wu
KaiHui Huang
HanYi Zhang
Fei Ye
CLL
VLM
50
0
0
14 Apr 2025
Task-conditioned Ensemble of Expert Models for Continuous Learning
Task-conditioned Ensemble of Expert Models for Continuous Learning
Renu Sharma
Debasmita Pal
Arun Ross
OOD
KELM
213
0
0
11 Apr 2025
ProtoGuard-guided PROPEL: Class-Aware Prototype Enhancement and Progressive Labeling for Incremental 3D Point Cloud Segmentation
ProtoGuard-guided PROPEL: Class-Aware Prototype Enhancement and Progressive Labeling for Incremental 3D Point Cloud Segmentation
Yiming Li
Yuecong Xu
Junjie Chen
Kemi Ding
3DPC
CLL
42
0
0
02 Apr 2025
Adaptive Weighted Parameter Fusion with CLIP for Class-Incremental Learning
Adaptive Weighted Parameter Fusion with CLIP for Class-Incremental Learning
Jiaxin Guo
Xiaoguang Zhu
Liangyu Teng
Hao Yang
Qingbin Liu
Yi Liu
Liang Song
CLL
VLM
75
1
0
25 Mar 2025
Feature Calibration enhanced Parameter Synthesis for CLIP-based Class-incremental Learning
Feature Calibration enhanced Parameter Synthesis for CLIP-based Class-incremental Learning
Jiaxin Guo
Xiaoguang Zhu
Xiaoguang Zhu
Lianlong Sun
Liangyu Teng
Yang Liu
Di Li
Wei Zhou
Liang Song
CLL
VLM
59
1
0
24 Mar 2025
H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection
H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection
Yuhang Liu
Wenjie Zhao
Yunhui Guo
OODD
72
0
0
19 Mar 2025
An Efficient Continual Learning Framework for Multivariate Time Series Prediction Tasks with Application to Vehicle State Estimation
An Efficient Continual Learning Framework for Multivariate Time Series Prediction Tasks with Application to Vehicle State Estimation
Arvin Hosseinzadeh
Ladan Khoshnevisan
Mohammad Pirani
Shojaeddin Chenouri
Amir Khajepour
CLL
AI4TS
49
1
0
03 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
84
1
0
17 Feb 2025
AI-driven Wireless Positioning: Fundamentals, Standards, State-of-the-art, and Challenges
Guangjin Pan
Yuan Gao
Yilin Gao
Zhiyong Zhong
Xiaoyu Yang
Xinyu Guo
Shugong Xu
56
1
0
28 Jan 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
226
0
0
15 Jan 2025
Dynamic Prototype Rehearsal for Continual Learning in ECG Arrhythmia Detection
Dynamic Prototype Rehearsal for Continual Learning in ECG Arrhythmia Detection
Sana Rahmani
Reetam Chatterjee
Ali Etemad
J. Hashemi
41
0
0
13 Jan 2025
Adapter-Enhanced Semantic Prompting for Continual Learning
Adapter-Enhanced Semantic Prompting for Continual Learning
Baocai Yin
Ji Zhao
Huajie Jiang
Ningning Hou
Yongli Hu
Amin Beheshti
Ming-Hsuan Yang
Yuankai Qi
CLL
VLM
102
0
0
15 Dec 2024
Budgeted Online Continual Learning by Adaptive Layer Freezing and Frequency-based Sampling
Budgeted Online Continual Learning by Adaptive Layer Freezing and Frequency-based Sampling
Minhyuk Seo
Hyunseo Koh
Jonghyun Choi
41
1
0
19 Oct 2024
Temporal-Difference Variational Continual Learning
Temporal-Difference Variational Continual Learning
Luckeciano C. Melo
Alessandro Abate
Yarin Gal
BDL
CLL
VLM
46
0
0
10 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
ReFu: Recursive Fusion for Exemplar-Free 3D Class-Incremental Learning
ReFu: Recursive Fusion for Exemplar-Free 3D Class-Incremental Learning
Yi Yang
Lei Zhong
Huiping Zhuang
3DPC
CLL
42
0
0
18 Sep 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
33
2
0
19 Jul 2024
EdgeSync: Faster Edge-model Updating via Adaptive Continuous Learning
  for Video Data Drift
EdgeSync: Faster Edge-model Updating via Adaptive Continuous Learning for Video Data Drift
Peng Zhao
Runchu Dong
Guiqin Wang
Cong Zhao
40
1
0
05 Jun 2024
Adversarially Diversified Rehearsal Memory (ADRM): Mitigating Memory
  Overfitting Challenge in Continual Learning
Adversarially Diversified Rehearsal Memory (ADRM): Mitigating Memory Overfitting Challenge in Continual Learning
Hikmat Khan
Ghulam Rasool
N. Bouaynaya
AAML
28
0
0
20 May 2024
Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning
Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning
N. Raichur
Lucas Heublein
Tobias Feigl
A. Rügamer
Christopher Mutschler
Felix Ott
CLL
BDL
73
7
0
17 May 2024
IMEX-Reg: Implicit-Explicit Regularization in the Function Space for
  Continual Learning
IMEX-Reg: Implicit-Explicit Regularization in the Function Space for Continual Learning
Prashant Shivaram Bhat
Bharath Renjith
Elahe Arani
Bahram Zonooz
CLL
48
2
0
28 Apr 2024
VLM-PL: Advanced Pseudo Labeling Approach for Class Incremental Object
  Detection via Vision-Language Model
VLM-PL: Advanced Pseudo Labeling Approach for Class Incremental Object Detection via Vision-Language Model
Junsu Kim
Yunhoe Ku
Jihyeon Kim
Junuk Cha
Seungryul Baek
ObjD
VLM
37
12
0
08 Mar 2024
SDDGR: Stable Diffusion-based Deep Generative Replay for Class
  Incremental Object Detection
SDDGR: Stable Diffusion-based Deep Generative Replay for Class Incremental Object Detection
Junsu Kim
Hoseong Cho
Jihyeon Kim
Yihalem Yimolal Tiruneh
Seungryul Baek
DiffM
43
20
0
27 Feb 2024
Doubly Perturbed Task Free Continual Learning
Doubly Perturbed Task Free Continual Learning
Byung Hyun Lee
Min-hwan Oh
Se Young Chun
27
3
0
20 Dec 2023
Class-Wise Buffer Management for Incremental Object Detection: An
  Effective Buffer Training Strategy
Class-Wise Buffer Management for Incremental Object Detection: An Effective Buffer Training Strategy
Junsu Kim
Sumin Hong
Chanwoo Kim
Jihyeon Kim
Yihalem Yimolal Tiruneh
Jeongwan On
Jihyun Song
Sunhwa Choi
Seungryul Baek
15
3
0
14 Dec 2023
Prompt-Based Exemplar Super-Compression and Regeneration for
  Class-Incremental Learning
Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning
Ruxiao Duan
Yaoyao Liu
Jieneng Chen
Adam Kortylewski
Alan Yuille
DiffM
VLM
38
1
0
30 Nov 2023
Class Incremental Learning with Pre-trained Vision-Language Models
Class Incremental Learning with Pre-trained Vision-Language Models
Xialei Liu
Xusheng Cao
Haori Lu
Jia-Wen Xiao
Andrew D. Bagdanov
Ming-Ming Cheng
VLM
30
12
0
31 Oct 2023
Chunking: Continual Learning is not just about Distribution Shift
Chunking: Continual Learning is not just about Distribution Shift
Thomas L. Lee
Amos Storkey
25
1
0
03 Oct 2023
DataDAM: Efficient Dataset Distillation with Attention Matching
DataDAM: Efficient Dataset Distillation with Attention Matching
A. Sajedi
Samir Khaki
Ehsan Amjadian
Lucy Z. Liu
Y. Lawryshyn
Konstantinos N. Plataniotis
DD
46
60
0
29 Sep 2023
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
Yew-Soon Ong
CLL
45
0
0
26 Sep 2023
Plasticity-Optimized Complementary Networks for Unsupervised Continual
  Learning
Plasticity-Optimized Complementary Networks for Unsupervised Continual Learning
Alex Gomez-Villa
Bartlomiej Twardowski
Kai Wang
Joost van de Weijer
SSL
CLL
33
8
0
12 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
36
8
0
28 Aug 2023
Cost-effective On-device Continual Learning over Memory Hierarchy with
  Miro
Cost-effective On-device Continual Learning over Memory Hierarchy with Miro
Xinyue Ma
Suyeon Jeong
Minjia Zhang
Di Wang
Jonghyun Choi
Myeongjae Jeon
CLL
16
13
0
11 Aug 2023
Evolving Knowledge Mining for Class Incremental Segmentation
Evolving Knowledge Mining for Class Incremental Segmentation
Zhihe Lu
Shuicheng Yan
Xinchao Wang
CLL
41
0
0
03 Jun 2023
Continual Semantic Segmentation with Automatic Memory Sample Selection
Continual Semantic Segmentation with Automatic Memory Sample Selection
Lanyun Zhu
Tianrun Chen
Jianxiong Yin
Simon See
Jun Liu
CLL
VLM
19
44
0
11 Apr 2023
Exploring Data Geometry for Continual Learning
Exploring Data Geometry for Continual Learning
Zhi Gao
C. Xu
Feng Li
Yunde Jia
Mehrtash Harandi
Yuwei Wu
CLL
21
9
0
08 Apr 2023
Continual Detection Transformer for Incremental Object Detection
Continual Detection Transformer for Incremental Object Detection
Yaoyao Liu
Bernt Schiele
Andrea Vedaldi
Christian Rupprecht
CLL
18
52
0
06 Apr 2023
Towards Open Temporal Graph Neural Networks
Towards Open Temporal Graph Neural Networks
Kaituo Feng
Changsheng Li
Xiaolu Zhang
Jun Zhou
AI4CE
30
15
0
27 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
ICICLE: Interpretable Class Incremental Continual Learning
ICICLE: Interpretable Class Incremental Continual Learning
Dawid Rymarczyk
Joost van de Weijer
Bartosz Zieliñski
Bartlomiej Twardowski
CLL
32
28
0
14 Mar 2023
Preventing Catastrophic Forgetting in Continual Learning of New Natural
  Language Tasks
Preventing Catastrophic Forgetting in Continual Learning of New Natural Language Tasks
Sudipta Kar
Giuseppe Castellucci
Simone Filice
S. Malmasi
Oleg Rokhlenko
CLL
KELM
54
6
0
22 Feb 2023
A Distinct Unsupervised Reference Model From The Environment Helps
  Continual Learning
A Distinct Unsupervised Reference Model From The Environment Helps Continual Learning
Seyyed Amirhossein Ameli Kalkhoran
Mohammadamin Banayeeanzade
Mahdi Samiei
M. Baghshah
BDL
CLL
31
0
0
11 Jan 2023
Learning to Learn: How to Continuously Teach Humans and Machines
Learning to Learn: How to Continuously Teach Humans and Machines
Parantak Singh
You Li
Ankur Sikarwar
Weixian Lei
Daniel Gao
Morgan B. Talbot
Ying Sun
Mike Zheng Shou
Gabriel Kreiman
Mengmi Zhang
CLL
18
6
0
28 Nov 2022
Multi-Label Continual Learning using Augmented Graph Convolutional
  Network
Multi-Label Continual Learning using Augmented Graph Convolutional Network
Kaile Du
Fan Lyu
Linyan Li
Fuyuan Hu
Wei Feng
Fenglei Xu
Xuefeng Xi
Hanjing Cheng
CLL
33
13
0
27 Nov 2022
Exemplar-free Continual Learning of Vision Transformers via Gated
  Class-Attention and Cascaded Feature Drift Compensation
Exemplar-free Continual Learning of Vision Transformers via Gated Class-Attention and Cascaded Feature Drift Compensation
Marco Cotogni
Fei Yang
C. Cusano
Andrew D. Bagdanov
Joost van de Weijer
CLL
30
0
0
22 Nov 2022
Hierarchically Structured Task-Agnostic Continual Learning
Hierarchically Structured Task-Agnostic Continual Learning
Heinke Hihn
Daniel A. Braun
BDL
CLL
21
8
0
14 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
Task-Free Continual Learning via Online Discrepancy Distance Learning
Task-Free Continual Learning via Online Discrepancy Distance Learning
Fei Ye
A. Bors
CLL
24
28
0
12 Oct 2022
Learning "O" Helps for Learning More: Handling the Concealed Entity
  Problem for Class-incremental NER
Learning "O" Helps for Learning More: Handling the Concealed Entity Problem for Class-incremental NER
Ruotian Ma
Xuanting Chen
Lin Zhang
Xin Zhou
Junzhe Wang
Tao Gui
Qi Zhang
Xiang Gao
Yunwen Chen
52
8
0
10 Oct 2022
Learn the Time to Learn: Replay Scheduling in Continual Learning
Learn the Time to Learn: Replay Scheduling in Continual Learning
Marcus Klasson
Hedvig Kjellström
Chen Zhang
CLL
35
9
0
18 Sep 2022
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