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Continual Learning with Deep Generative Replay
v1v2v3 (latest)

Continual Learning with Deep Generative Replay

24 May 2017
Hanul Shin
Jung Kwon Lee
Jaehong Kim
Jiwon Kim
    KELMCLL
ArXiv (abs)PDFHTML

Papers citing "Continual Learning with Deep Generative Replay"

50 / 1,228 papers shown
Title
Replay to Remember (R2R): An Efficient Uncertainty-driven Unsupervised Continual Learning Framework Using Generative Replay
Replay to Remember (R2R): An Efficient Uncertainty-driven Unsupervised Continual Learning Framework Using Generative Replay
Sriram Mandalika
Harsha Vardhan
Athira Nambiar
VLM
493
0
0
07 May 2025
Feature Staleness Aware Incremental Learning for CTR Prediction
Feature Staleness Aware Incremental Learning for CTR PredictionInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Zhikai Wang
Yanyan Shen
Zibin Zhang
Kangyi Lin
258
2
0
29 Apr 2025
Mitigating Catastrophic Forgetting in the Incremental Learning of Medical Images
Mitigating Catastrophic Forgetting in the Incremental Learning of Medical Images
Sara Yavari
Jacob Furst
CLL
269
4
0
28 Apr 2025
Personalized Artificial General Intelligence (AGI) via Neuroscience-Inspired Continuous Learning Systems
Personalized Artificial General Intelligence (AGI) via Neuroscience-Inspired Continuous Learning Systems
Rajeev Gupta
Suhani Gupta
Ronak Parikh
Divya Gupta
Amir Javaheri
Jairaj Singh Shaktawat
AI4CE
130
1
0
27 Apr 2025
Noise-Tolerant Coreset-Based Class Incremental Continual Learning
Noise-Tolerant Coreset-Based Class Incremental Continual Learning
Edison Mucllari
Aswin Raghavan
Z. Daniels
CLLNoLa
925
0
0
23 Apr 2025
SPECI: Skill Prompts based Hierarchical Continual Imitation Learning for Robot Manipulation
SPECI: Skill Prompts based Hierarchical Continual Imitation Learning for Robot ManipulationIEEE Transactions on Cognitive and Developmental Systems (IEEE TCDS), 2025
Jingkai Xu
Xiangli Nie
211
3
0
22 Apr 2025
Semi-parametric Memory Consolidation: Towards Brain-like Deep Continual Learning
Semi-parametric Memory Consolidation: Towards Brain-like Deep Continual Learning
Geng Liu
Fei Zhu
Rong Feng
Zhiqiang Yi
Shiqi Wang
Gaofeng Meng
Zhaoxiang Zhang
CLL
181
0
0
20 Apr 2025
SwitchMT: An Adaptive Context Switching Methodology for Scalable Multi-Task Learning in Intelligent Autonomous Agents
SwitchMT: An Adaptive Context Switching Methodology for Scalable Multi-Task Learning in Intelligent Autonomous Agents
Avaneesh Devkota
Rachmad Vidya Wicaksana Putra
Mohamed Bennai
178
0
0
18 Apr 2025
Boosting the Class-Incremental Learning in 3D Point Clouds via Zero-Collection-Cost Basic Shape Pre-Training
Boosting the Class-Incremental Learning in 3D Point Clouds via Zero-Collection-Cost Basic Shape Pre-Training
Chao Qi
Jianqin Yin
Meng Chen
Yingchun Niu
Yuan Sun
3DPCCLL
288
0
0
11 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
OODKELM
922
0
0
11 Apr 2025
LoRI: Reducing Cross-Task Interference in Multi-Task Low-Rank Adaptation
LoRI: Reducing Cross-Task Interference in Multi-Task Low-Rank Adaptation
Juzheng Zhang
Jiacheng You
Ashwinee Panda
Tom Goldstein
MoMe
343
10
0
10 Apr 2025
Progressive Multi-Source Domain Adaptation for Personalized Facial Expression Recognition
Progressive Multi-Source Domain Adaptation for Personalized Facial Expression Recognition
Muhammad Osama Zeeshan
M. Pedersoli
A. L. Koerich
Eric Grange
282
2
0
05 Apr 2025
Outlook Towards Deployable Continual Learning for Particle Accelerators
Outlook Towards Deployable Continual Learning for Particle Accelerators
Kishansingh Rajput
Sen Lin
Auralee Edelen
Willem Blokland
Malachi Schram
209
1
0
04 Apr 2025
BECAME: BayEsian Continual Learning with Adaptive Model MErging
BECAME: BayEsian Continual Learning with Adaptive Model MErging
Mei Li
Yuxiang Lu
Qinyan Dai
Wei Ji
Yue Ding
Hongtao Lu
CLLMoMe
326
1
0
03 Apr 2025
The Self-Learning Agent with a Progressive Neural Network Integrated Transformer
The Self-Learning Agent with a Progressive Neural Network Integrated Transformer
Ajay Sivakumar
Shalini
Vasantha Raj
Sebastian Sylvester
AI4CE
159
1
0
03 Apr 2025
Think Small, Act Big: Primitive Prompt Learning for Lifelong Robot Manipulation
Think Small, Act Big: Primitive Prompt Learning for Lifelong Robot ManipulationComputer Vision and Pattern Recognition (CVPR), 2025
Yuanqi Yao
Siao Liu
Haoming Song
Delin Qu
Qizhi Chen
Yan Ding
Jiangwei Zhong
Liang Luo
Xiaochen Li
Dong Wang
CLL
482
7
0
01 Apr 2025
MetaCLBench: Meta Continual Learning Benchmark on Resource-Constrained Edge Devices
MetaCLBench: Meta Continual Learning Benchmark on Resource-Constrained Edge Devices
Sijia Li
Young D. Kwon
Lik-Hang Lee
Pan Hui
255
0
0
31 Mar 2025
Beyond Background Shift: Rethinking Instance Replay in Continual Semantic Segmentation
Beyond Background Shift: Rethinking Instance Replay in Continual Semantic SegmentationComputer Vision and Pattern Recognition (CVPR), 2025
Hongmei Yin
Tingliang Feng
Fan Lyu
Fanhua Shang
Hongying Liu
Wei Feng
Liang Wan
CLLVLM
241
2
0
28 Mar 2025
Learn by Reasoning: Analogical Weight Generation for Few-Shot Class-Incremental Learning
Learn by Reasoning: Analogical Weight Generation for Few-Shot Class-Incremental Learning
Jizhou Han
Chenhao Ding
Yuhang He
Songlin Dong
Qiang Wang
Xinyuan Gao
Yihong Gong
CLL
199
1
0
27 Mar 2025
KAC: Kolmogorov-Arnold Classifier for Continual Learning
KAC: Kolmogorov-Arnold Classifier for Continual LearningComputer Vision and Pattern Recognition (CVPR), 2025
Yusong Hu
Zichen Liang
Fei Yang
Qibin Hou
Xialei Liu
Ming-Ming Cheng
CLL
295
5
0
27 Mar 2025
Continual learning via probabilistic exchangeable sequence modelling
Continual learning via probabilistic exchangeable sequence modelling
Hanwen Xing
Christopher Yau
CLLBDL
289
0
0
26 Mar 2025
Continual Learning With Quasi-Newton Methods
Continual Learning With Quasi-Newton MethodsIEEE Access (IEEE Access), 2021
Steven Vander Eeckt
Hugo Van hamme
CLLBDL
261
0
0
25 Mar 2025
Do Your Best and Get Enough Rest for Continual Learning
Do Your Best and Get Enough Rest for Continual LearningComputer Vision and Pattern Recognition (CVPR), 2025
Hankyul Kang
Gregor Seifer
Donghyun Lee
Jongbin Ryu
VLM
168
1
0
24 Mar 2025
Restoring Forgotten Knowledge in Non-Exemplar Class Incremental Learning through Test-Time Semantic Evolution
Restoring Forgotten Knowledge in Non-Exemplar Class Incremental Learning through Test-Time Semantic Evolution
Haori Lu
Xusheng Cao
Linlan Huang
Enguang Wang
Fei Yang
Xialei Liu
CLL
222
0
0
21 Mar 2025
Towards Automatic Continual Learning: A Self-Adaptive Framework for Continual Instruction Tuning
Towards Automatic Continual Learning: A Self-Adaptive Framework for Continual Instruction Tuning
Peiyi Lin
Fukai Zhang
Kai Niu
Hao Fu
CLL
285
0
0
20 Mar 2025
FeNeC: Enhancing Continual Learning via Feature Clustering with Neighbor- or Logit-Based Classification
FeNeC: Enhancing Continual Learning via Feature Clustering with Neighbor- or Logit-Based Classification
Kamil Książek
Hubert Jastrzębski
Bartosz Trojan
Krzysztof Pniaczek
Michał Karp
Jacek Tabor
CLL
554
0
0
18 Mar 2025
ProtoDepth: Unsupervised Continual Depth Completion with Prototypes
ProtoDepth: Unsupervised Continual Depth Completion with PrototypesComputer Vision and Pattern Recognition (CVPR), 2025
Patrick Rim
Hyoungseob Park
Xien Chen
Ziyao Zeng
Younjoon Chung
Alex Wong
CLLMDE
327
5
0
17 Mar 2025
Hybrid Learners Do Not Forget: A Brain-Inspired Neuro-Symbolic Approach to Continual Learning
Hybrid Learners Do Not Forget: A Brain-Inspired Neuro-Symbolic Approach to Continual Learning
Amin Banayeeanzade
Mohammad Rostami
CLL
214
1
0
16 Mar 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
Joost van de Weijer
Andrew D. Bagdanov
587
0
0
13 Mar 2025
Continual Text-to-Video Retrieval with Frame Fusion and Task-Aware Routing
Continual Text-to-Video Retrieval with Frame Fusion and Task-Aware RoutingAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025
Zecheng Zhao
Zhi Chen
Zi-Rui Huang
S. Sadiq
Tong Chen
432
0
0
13 Mar 2025
Continual Learning for Multiple Modalities
Continual Learning for Multiple Modalities
Hyundong Jin
Eunwoo Kim
CLL
426
0
0
11 Mar 2025
Towards Experience Replay for Class-Incremental Learning in Fully-Binary Networks
Yanis Basso-Bert
Anca Molnos
Romain Lemaire
William Guicquero
Antoine Dupret
CLL
296
0
0
10 Mar 2025
Minion Gated Recurrent Unit for Continual Learning
Abdullah M. Zyarah
Dhireesha Kudithipudi
465
1
0
08 Mar 2025
Lifelong Learning with Task-Specific Adaptation: Addressing the Stability-Plasticity Dilemma
Ruiyu Wang
Sen Wang
Wei Ji
Q. Sun
CLLKELM
209
1
0
08 Mar 2025
CLDyB: Towards Dynamic Benchmarking for Continual Learning with Pre-trained ModelsInternational Conference on Learning Representations (ICLR), 2025
Shengzhuang Chen
Yikai Liao
Xiaoxiao Sun
Kede Ma
Ying Wei
348
1
0
06 Mar 2025
Knowledge Retention for Continual Model-Based Reinforcement Learning
Knowledge Retention for Continual Model-Based Reinforcement Learning
Yixiang Sun
Haotian Fu
M. L. Littman
George Konidaris
OffRLCLLVLM
520
2
0
06 Mar 2025
Efficient Prompting for Continual Adaptation to Missing ModalitiesNorth American Chapter of the Association for Computational Linguistics (NAACL), 2025
Zirun Guo
Shulei Wang
Wang Lin
Weicai Yan
Yangyang Wu
Tao Jin
CLLVLM
254
5
0
01 Mar 2025
Order-Robust Class Incremental Learning: Graph-Driven Dynamic Similarity Grouping
Order-Robust Class Incremental Learning: Graph-Driven Dynamic Similarity GroupingComputer Vision and Pattern Recognition (CVPR), 2025
Guannan Lai
Yujie Li
Xiangkun Wang
Jing Zhang
Tianrui Li
Xin Yang
CLL
322
6
0
27 Feb 2025
Few-Shot, No Problem: Descriptive Continual Relation Extraction
Few-Shot, No Problem: Descriptive Continual Relation ExtractionAAAI Conference on Artificial Intelligence (AAAI), 2025
Nguyen Xuan Thanh
Anh Duc Le
Quyen Tran
Thanh-Thien Le
Linh Ngo Van
T. H. Nguyen
251
5
0
27 Feb 2025
PVBF: A Framework for Mitigating Parameter Variation Imbalance in Online Continual Learning
PVBF: A Framework for Mitigating Parameter Variation Imbalance in Online Continual LearningNeural Networks (NN), 2025
Zelin Tao
Hao Deng
Mingqing Liu
Lijun Zhang
Shengjie Zhao
CLL
329
0
0
25 Feb 2025
Feature Aggregation with Latent Generative Replay for Federated Continual Learning of Socially Appropriate Robot Behaviours
Feature Aggregation with Latent Generative Replay for Federated Continual Learning of Socially Appropriate Robot Behaviours
Nikhil Churamani
Saksham Checker
Fethiye Irmak Dogan
Hao-Tien Lewis Chiang
Hatice Gunes
FedML
400
2
0
24 Feb 2025
Transfer Learning with Pre-trained Conditional Generative Models
Transfer Learning with Pre-trained Conditional Generative ModelsMachine-mediated learning (ML), 2022
Shin'ya Yamaguchi
Sekitoshi Kanai
Atsutoshi Kumagai
Daiki Chijiwa
H. Kashima
VLMCLLBDLDiffM
606
6
0
21 Feb 2025
Does Training with Synthetic Data Truly Protect Privacy?
Does Training with Synthetic Data Truly Protect Privacy?International Conference on Learning Representations (ICLR), 2025
Yunpeng Zhao
Jie Zhang
307
5
0
18 Feb 2025
Cross-Domain Continual Learning for Edge Intelligence in Wireless ISAC Networks
Cross-Domain Continual Learning for Edge Intelligence in Wireless ISAC NetworksIEEE Transactions on Wireless Communications (TWC), 2025
Jingzhi Hu
Xin Li
Zhou Su
Jun Luo
420
1
0
18 Feb 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
416
1
0
17 Feb 2025
Analysis of Overparameterization in Continual Learning under a Linear Model
Analysis of Overparameterization in Continual Learning under a Linear Model
Daniel Goldfarb
Paul Hand
CLL
187
1
0
11 Feb 2025
MADAR: Efficient Continual Learning for Malware Analysis with Distribution-Aware Replay
MADAR: Efficient Continual Learning for Malware Analysis with Distribution-Aware Replay
Mohammad Saidur Rahman
Scott E. Coull
Qi Yu
M. Wright
AAML
589
4
0
09 Feb 2025
MaintaAvatar: A Maintainable Avatar Based on Neural Radiance Fields by Continual Learning
MaintaAvatar: A Maintainable Avatar Based on Neural Radiance Fields by Continual LearningAAAI Conference on Artificial Intelligence (AAAI), 2025
Shengbo Gu
Yu-Kun Qiu
Yu-Ming Tang
Ancong Wu
Wei-Shi Zheng
293
0
0
04 Feb 2025
Iterative Feature Space Optimization through Incremental Adaptive Evaluation
Yanping Wu
Li Yang
Zhengzhang Chen
Zijun Yao
Yanjie Fu
Kunpeng Liu
Xiao Luo
Dongjie Wang
117
1
0
28 Jan 2025
Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting
Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global ForgettingInternational Conference on Learning Representations (ICLR), 2025
Milad Khademi Nori
Il-Min Kim
Guanghui
CLL
457
3
0
26 Jan 2025
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