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Always Be Dreaming: A New Approach for Data-Free Class-Incremental
  Learning

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
ArXivPDFHTML

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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Heterogeneous Continual Learning
Divyam Madaan
Hongxu Yin
Wonmin Byeon
Jan Kautz
Pavlo Molchanov
CLL
21
5
0
14 Jun 2023
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