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Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning
17 June 2021
James Smith
Yen-Chang Hsu
John C. Balloch
Yilin Shen
Hongxia Jin
Z. Kira
CLL
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Papers citing
"Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning"
50 / 101 papers shown
Title
GPS: Distilling Compact Memories via Grid-based Patch Sampling for Efficient Online Class-Incremental Learning
Mingchuan Ma
Yuhao Zhou
Jindi Lv
Yuxin Tian
Dan Si
Shujian Li
Qing Ye
Jiancheng Lv
CLL
36
0
0
14 Apr 2025
EFC++: Elastic Feature Consolidation with Prototype Re-balancing for Cold Start Exemplar-free Incremental Learning
Simone Magistri
Tomaso Trinci
Albin Soutif--Cormerais
J. Weijer
Andrew D. Bagdanov
45
0
0
13 Mar 2025
iManip: Skill-Incremental Learning for Robotic Manipulation
Zexin Zheng
Jia-Feng Cai
Xiao-Ming Wu
Yi-Lin Wei
Yu-Ming Tang
Wei-Shi Zheng
CLL
54
0
0
10 Mar 2025
One VLM to Keep it Learning: Generation and Balancing for Data-free Continual Visual Question Answering
Deepayan Das
Davide Talon
Massimiliano Mancini
Yiming Wang
Elisa Ricci
39
0
0
04 Nov 2024
Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning
Grzegorz Rype'sć
Sebastian Cygert
Tomasz Trzciñski
Bartłomiej Twardowski
30
4
0
26 Sep 2024
Few-Shot Class-Incremental Learning with Non-IID Decentralized Data
Cuiwei Liu
Siang Xu
Huaijun Qiu
Jing Zhang
Zhi Liu
Liang Zhao
CLL
32
0
0
18 Sep 2024
Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental Learning
Min-Yeong Park
Jae-Ho Lee
Gyeong-Moon Park
CLL
26
1
0
17 Sep 2024
AWF: Adaptive Weight Fusion for Enhanced Class Incremental Semantic Segmentation
Zechao Sun
Haolin Jin
Weitong Chen
Luping Zhou
CLL
37
1
0
13 Sep 2024
Selective Self-Rehearsal: A Fine-Tuning Approach to Improve Generalization in Large Language Models
Sonam Gupta
Yatin Nandwani
Asaf Yehudai
Mayank Mishra
Gaurav Pandey
Dinesh Raghu
Sachindra Joshi
LRM
20
1
0
07 Sep 2024
Diffusion Model Meets Non-Exemplar Class-Incremental Learning and Beyond
Jichuan Zhang
Yali Li
Xin Liu
Shengjin Wang
DiffM
36
0
0
06 Aug 2024
Learning at a Glance: Towards Interpretable Data-limited Continual Semantic Segmentation via Semantic-Invariance Modelling
Bo Yuan
Danpei Zhao
Z. Shi
VLM
CLL
32
3
0
22 Jul 2024
Addressing Imbalance for Class Incremental Learning in Medical Image Classification
Xuze Hao
Wenqian Ni
Xuhao Jiang
Weimin Tan
Bo Yan
CLL
22
0
0
18 Jul 2024
Beyond Prompt Learning: Continual Adapter for Efficient Rehearsal-Free Continual Learning
Xinyuan Gao
Songlin Dong
Yuhang He
Qiang Wang
Yihong Gong
CLL
24
13
0
14 Jul 2024
Overcoming Catastrophic Forgetting in Federated Class-Incremental Learning via Federated Global Twin Generator
Thinh Nguyen
Khoa D. Doan
Binh T. Nguyen
Danh Le-Phuoc
Kok-Seng Wong
FedML
35
0
0
13 Jul 2024
Rethinking Few-shot Class-incremental Learning: Learning from Yourself
Yu-Ming Tang
Yi-Xing Peng
Jingke Meng
Wei-Shi Zheng
CLL
37
5
0
10 Jul 2024
Small Scale Data-Free Knowledge Distillation
He Liu
Yikai Wang
Huaping Liu
Fuchun Sun
Anbang Yao
19
8
0
12 Jun 2024
CCSI: Continual Class-Specific Impression for Data-free Class Incremental Learning
Sana Ayromlou
Teresa S. M. Tsang
Purang Abolmaesumi
Xiaoxiao Li
CLL
30
2
0
09 Jun 2024
Data-Free Generative Replay for Class-Incremental Learning on Imbalanced Data
Sohaib Younis
Bernhard Seeger
26
0
0
07 Jun 2024
Data-Free Federated Class Incremental Learning with Diffusion-Based Generative Memory
Naibo Wang
Yuchen Deng
Wenjie Feng
Jianwei Yin
See-Kiong Ng
DiffM
FedML
39
1
0
22 May 2024
Dynamic Feature Learning and Matching for Class-Incremental Learning
Sunyuan Qiang
Yanyan Liang
Jun Wan
Du Zhang
CLL
38
3
0
14 May 2024
Recommendation of data-free class-incremental learning algorithms by simulating future data
Eva Feillet
Adrian Daniel Popescu
C´eline Hudelot
41
0
0
26 Mar 2024
Select and Distill: Selective Dual-Teacher Knowledge Transfer for Continual Learning on Vision-Language Models
Yu-Chu Yu
Chi-Pin Huang
Jr-Jen Chen
Kai-Po Chang
Yung-Hsuan Lai
Fu-En Yang
Yu-Chiang Frank Wang
CLL
VLM
37
7
0
14 Mar 2024
DAM: Dynamic Adapter Merging for Continual Video QA Learning
Feng Cheng
Ziyang Wang
Yi-Lin Sung
Yan-Bo Lin
Mohit Bansal
Gedas Bertasius
CLL
MoMe
31
10
0
13 Mar 2024
Consistent Prompting for Rehearsal-Free Continual Learning
Zhanxin Gao
Jun Cen
Xiaobin Chang
VLM
CLL
29
24
0
13 Mar 2024
FeTrIL++: Feature Translation for Exemplar-Free Class-Incremental Learning with Hill-Climbing
Eduard Hogea
Adrian Daniel Popescu
Darian M. Onchis
Grégoire Petit
CLL
29
6
0
12 Mar 2024
Premonition: Using Generative Models to Preempt Future Data Changes in Continual Learning
Mark D Mcdonnell
Dong Gong
Ehsan Abbasnejad
A. Hengel
VLM
DiffM
75
3
0
12 Mar 2024
DiffClass: Diffusion-Based Class Incremental Learning
Zichong Meng
Jie M. Zhang
Changdi Yang
Zheng Zhan
Pu Zhao
Yanzhi Wang
DiffM
CLL
38
14
0
08 Mar 2024
Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal
Jianheng Huang
Leyang Cui
Ante Wang
Chengyi Yang
Xinting Liao
Linfeng Song
Junfeng Yao
Jinsong Su
KELM
CLL
19
32
0
02 Mar 2024
One-stage Prompt-based Continual Learning
Youngeun Kim
Yuhang Li
Priyadarshini Panda
VLM
CLL
36
4
0
25 Feb 2024
Continual Learning on Graphs: A Survey
Zonggui Tian
Duanhao Zhang
Hong-Ning Dai
37
5
0
09 Feb 2024
Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental Learning
Simone Magistri
Tomaso Trinci
Albin Soutif--Cormerais
J. Weijer
Andrew D. Bagdanov
31
18
0
06 Feb 2024
Divide and not forget: Ensemble of selectively trained experts in Continual Learning
Grzegorz Rype'sć
Sebastian Cygert
Valeriya Khan
Tomasz Trzciñski
Bartosz Zieliñski
Bartlomiej Twardowski
CLL
24
28
0
18 Jan 2024
Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning
Chenyang Wang
Junjun Jiang
Xingyu Hu
Xianming Liu
Xiangyang Ji
37
2
0
12 Jan 2024
Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
Everton L. Aleixo
J. Colonna
Marco Cristo
Everlandio Fernandes
CLL
47
21
0
16 Dec 2023
A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks
Sara Babakniya
Zalan Fabian
Chaoyang He
Mahdi Soltanolkotabi
Salman Avestimehr
FedML
CLL
21
29
0
13 Nov 2023
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
13
3
0
28 Oct 2023
Prior-Free Continual Learning with Unlabeled Data in the Wild
Tao Zhuo
Zhiyong Cheng
Hehe Fan
Mohan S. Kankanhalli
VLM
CLL
33
2
0
16 Oct 2023
Class-Incremental Learning Using Generative Experience Replay Based on Time-aware Regularization
Zizhao Hu
Mohammad Rostami
CLL
BDL
13
3
0
05 Oct 2023
Inherit with Distillation and Evolve with Contrast: Exploring Class Incremental Semantic Segmentation Without Exemplar Memory
Danpei Zhao
Bo Yuan
Z. Shi
VLM
CLL
23
9
0
27 Sep 2023
FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning
Dipam Goswami
Yuyang Liu
Bartlomiej Twardowski
Joost van de Weijer
CLL
21
52
0
25 Sep 2023
Rotation Augmented Distillation for Exemplar-Free Class Incremental Learning with Detailed Analysis
Xiu-yan Chen
Xiaobin Chang
CLL
19
0
0
29 Aug 2023
OEBench: Investigating Open Environment Challenges in Real-World Relational Data Streams
Yiqun Diao
Yutong Yang
Q. Li
Bin He
Mian Lu
14
1
0
29 Aug 2023
Masked Autoencoders are Efficient Class Incremental Learners
Jiang-Tian Zhai
Xialei Liu
Andrew D. Bagdanov
Ke Li
Mingg-Ming Cheng
CLL
19
13
0
24 Aug 2023
Color Prompting for Data-Free Continual Unsupervised Domain Adaptive Person Re-Identification
Jianyang Gu
Haowen Luo
Kai Wang
Wei Jiang
Yang You
Jian-jun Zhao
VLM
21
3
0
21 Aug 2023
NAPA-VQ: Neighborhood Aware Prototype Augmentation with Vector Quantization for Continual Learning
T. Malepathirana
Damith A. Senanayake
Saman K. Halgamuge
CLL
11
12
0
18 Aug 2023
Feature Matching Data Synthesis for Non-IID Federated Learning
Zijian Li
Yuchang Sun
Jiawei Shao
Yuyi Mao
Jessie Hui Wang
Jun Zhang
26
19
0
09 Aug 2023
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning
Zhenyi Wang
Enneng Yang
Li Shen
Heng-Chiao Huang
KELM
MU
29
46
0
16 Jul 2023
Don't Memorize; Mimic The Past: Federated Class Incremental Learning Without Episodic Memory
Sara Babakniya
Zalan Fabian
Chaoyang He
Mahdi Soltanolkotabi
Salman Avestimehr
FedML
22
2
0
02 Jul 2023
Class-Incremental Learning using Diffusion Model for Distillation and Replay
Quentin Jodelet
Xin Liu
Yin Jun Phua
T. Murata
DiffM
14
31
0
30 Jun 2023
Heterogeneous Continual Learning
Divyam Madaan
Hongxu Yin
Wonmin Byeon
Jan Kautz
Pavlo Molchanov
CLL
21
5
0
14 Jun 2023
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