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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
Optimal Protocols for Continual Learning via Statistical Physics and Control Theory
Optimal Protocols for Continual Learning via Statistical Physics and Control TheoryInternational Conference on Learning Representations (ICLR), 2024
Francesco Mori
Stefano Sarao Mannelli
Francesca Mignacco
488
7
0
26 Sep 2024
Patch-Based Contrastive Learning and Memory Consolidation for Online
  Unsupervised Continual Learning
Patch-Based Contrastive Learning and Memory Consolidation for Online Unsupervised Continual Learning
Cameron Taylor
Vassilis Vassiliades
C. Dovrolis
CLL
336
1
0
24 Sep 2024
Tiny Robotics Dataset and Benchmark for Continual Object Detection
Tiny Robotics Dataset and Benchmark for Continual Object Detection
Francesco Pasti
Riccardo De Monte
Davide Dalle Pezze
Gian Antonio Susto
Nicola Bellotto
337
3
0
24 Sep 2024
Drift to Remember
Drift to Remember
Jin Du
Xinsong Zhang
Hao Shen
Xun Xian
Ganghua Wang
Jiawei Zhang
Yuhong Yang
Na Li
Jia Liu
Jie Ding
CLL
196
0
0
21 Sep 2024
Persistent Backdoor Attacks in Continual Learning
Persistent Backdoor Attacks in Continual Learning
Zhen Guo
Abhinav Kumar
R. Tourani
AAML
339
7
0
20 Sep 2024
Versatile Incremental Learning: Towards Class and Domain-Agnostic
  Incremental Learning
Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental LearningEuropean Conference on Computer Vision (ECCV), 2024
Min-Yeong Park
Jae-Ho Lee
Gyeong-Moon Park
CLL
292
6
0
17 Sep 2024
LACOSTE: Exploiting stereo and temporal contexts for surgical instrument
  segmentation
LACOSTE: Exploiting stereo and temporal contexts for surgical instrument segmentation
Qiyuan Wang
Shang Zhao
Zikang Xu
S Kevin Zhou
406
0
0
14 Sep 2024
Anytime Continual Learning for Open Vocabulary Classification
Anytime Continual Learning for Open Vocabulary ClassificationEuropean Conference on Computer Vision (ECCV), 2024
Zhen Zhu
Yiming Gong
Derek Hoiem
VLM
250
8
0
13 Sep 2024
Continual Learning in 3D Point Clouds: Employing Spectral Techniques for Exemplar Selection
Continual Learning in 3D Point Clouds: Employing Spectral Techniques for Exemplar SelectionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Hossein Resani
B. Nasihatkon
Mohammadreza Alimoradi Jazi
3DPC
295
3
0
12 Sep 2024
Synthetic continued pretraining
Synthetic continued pretrainingInternational Conference on Learning Representations (ICLR), 2024
Zitong Yang
Neil Band
Shuangping Li
Emmanuel Candès
Tatsunori Hashimoto
CLLSyDa
348
35
0
11 Sep 2024
A Continual and Incremental Learning Approach for TinyML On-device
  Training Using Dataset Distillation and Model Size Adaption
A Continual and Incremental Learning Approach for TinyML On-device Training Using Dataset Distillation and Model Size AdaptionIndustrial Cyber-Physical Systems (ICPS), 2024
Marcus Rüb
Philipp Tuchel
Patrick Selle
Daniel Mueller-Gritschneder
296
8
0
11 Sep 2024
CD-NGP: A Fast Scalable Continual Representation for Dynamic Scenes
CD-NGP: A Fast Scalable Continual Representation for Dynamic Scenes
Zhenhuan Liu
Shuai Liu
Zhiwei Ning
Jie Yang
Wei Liu
3DV3DGS
283
2
0
08 Sep 2024
Buffer-based Gradient Projection for Continual Federated Learning
Buffer-based Gradient Projection for Continual Federated Learning
Shenghong Dai
Jy-yong Sohn
Yicong Chen
S. Alam
Ravikumar Balakrishnan
Suman Banerjee
N. Himayat
Kangwook Lee
FedML
293
4
0
03 Sep 2024
Towards General Industrial Intelligence: A Survey on IIoT-Enhanced
  Continual Large Models
Towards General Industrial Intelligence: A Survey on IIoT-Enhanced Continual Large Models
Jiao Chen
Jiayi He
Fangfang Chen
Zuohong Lv
Jianhua Tang
Weihua Li
Zuozhu Liu
Howard H. Yang
Guangjie Han
AI4CE
278
1
0
02 Sep 2024
Theoretical Insights into Overparameterized Models in Multi-Task and Replay-Based Continual Learning
Theoretical Insights into Overparameterized Models in Multi-Task and Replay-Based Continual Learning
Mohammadamin Banayeeanzade
Mahdi Soltanolkotabi
Mohammad Rostami
CLLLRM
570
7
0
29 Aug 2024
Continual Gesture Learning without Data via Synthetic Feature Sampling
Continual Gesture Learning without Data via Synthetic Feature Sampling
Zhenyu Lu
Hao Tang
SLR
276
0
0
21 Aug 2024
Boosting Open-Domain Continual Learning via Leveraging Intra-domain
  Category-aware Prototype
Boosting Open-Domain Continual Learning via Leveraging Intra-domain Category-aware Prototype
Yadong Lu
Shitian Zhao
Boxiang Yun
Dongsheng Jiang
Yin Li
Qingli Li
Yan Wang
VLMCLL
121
2
0
19 Aug 2024
Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion
Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion
Achref Jaziri
Etienne Kunzel
Visvanathan Ramesh
CLL
353
1
0
19 Aug 2024
An Efficient Replay for Class-Incremental Learning with Pre-trained
  Models
An Efficient Replay for Class-Incremental Learning with Pre-trained Models
Weimin Yin
Bin Chen adn Chunzhao Xie
Zhenhao Tan
269
2
0
15 Aug 2024
Continual Learning of Nonlinear Independent Representations
Continual Learning of Nonlinear Independent Representations
Boyang Sun
Ignavier Ng
Guangyi Chen
Yifan Shen
Qirong Ho
Kun Zhang
OODCML
270
0
0
11 Aug 2024
VIPeR: Visual Incremental Place Recognition with Adaptive Mining and Continual Learning
VIPeR: Visual Incremental Place Recognition with Adaptive Mining and Continual Learning
Yuhao Zhang
Zhengxuan Wu
Xingrui Yang
Weicai Ye
Yian Zhang
Bonan Min
Weichen Dai
Zhiheng Huang
259
0
0
31 Jul 2024
Distribution-Aware Replay for Continual MRI Segmentation
Distribution-Aware Replay for Continual MRI Segmentation
Nick Lemke
Camila González
Anirban Mukhopadhyay
Martin Mundt
OOD
172
0
0
30 Jul 2024
An Effective Dynamic Gradient Calibration Method for Continual Learning
An Effective Dynamic Gradient Calibration Method for Continual Learning
Weichen Lin
Jiaxiang Chen
Ru Huang
Huihua Ding
CLL
275
2
0
30 Jul 2024
PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning
PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning
M. A. Ma'sum
Mahardhika Pratama
Savitha Ramasamy
Lin Liu
Habibullah Habibullah
Ryszard Kowalczyk
CLL
243
3
0
30 Jul 2024
Machine Unlearning in Generative AI: A Survey
Machine Unlearning in Generative AI: A Survey
Zheyuan Liu
Guangyao Dou
Zhaoxuan Tan
Yijun Tian
Meng Jiang
MU
321
43
0
30 Jul 2024
Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning
Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning
Yeongbin Seo
Dongha Lee
Jinyoung Yeo
CLLKELM
375
5
0
24 Jul 2024
Local vs Global continual learning
Local vs Global continual learning
Giulia Lanzillotta
Sidak Pal Singh
Benjamin Grewe
Thomas Hofmann
CLL
251
0
0
23 Jul 2024
Strike a Balance in Continual Panoptic Segmentation
Strike a Balance in Continual Panoptic Segmentation
Jinpeng Chen
Runmin Cong
Yuxuan Luo
H. Ip
Sam Kwong
275
10
0
23 Jul 2024
CLIP with Generative Latent Replay: a Strong Baseline for Incremental
  Learning
CLIP with Generative Latent Replay: a Strong Baseline for Incremental Learning
Emanuele Frascaroli
Aniello Panariello
Pietro Buzzega
Lorenzo Bonicelli
Angelo Porrello
Simone Calderara
VLMCLL
304
14
0
22 Jul 2024
Decoupled Prompt-Adapter Tuning for Continual Activity Recognition
Decoupled Prompt-Adapter Tuning for Continual Activity Recognition
Di Fu
Thanh Vinh Vo
Haozhe Ma
Tze-Yun Leong
214
2
0
20 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
267
12
0
19 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
188
3
0
18 Jul 2024
CroMo-Mixup: Augmenting Cross-Model Representations for Continual
  Self-Supervised Learning
CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning
Erum Mushtaq
D. Yaldiz
Yavuz Faruk Bakman
Jie Ding
Chenyang Tao
Dimitrios Dimitriadis
A. Avestimehr
CLL
379
4
0
16 Jul 2024
Mitigating Background Shift in Class-Incremental Semantic Segmentation
Mitigating Background Shift in Class-Incremental Semantic Segmentation
Gilhan Park
WonJun Moon
Subeen Lee
Tae-Young Kim
Jae-Pil Heo
CLLVLM
306
12
0
16 Jul 2024
Bridge Past and Future: Overcoming Information Asymmetry in Incremental
  Object Detection
Bridge Past and Future: Overcoming Information Asymmetry in Incremental Object Detection
Qijie Mo
Yipeng Gao
Shenghao Fu
Junkai Yan
Ancong Wu
Wei-Shi Zheng
CLL
270
15
0
16 Jul 2024
Background Adaptation with Residual Modeling for Exemplar-Free
  Class-Incremental Semantic Segmentation
Background Adaptation with Residual Modeling for Exemplar-Free Class-Incremental Semantic Segmentation
Anqi Zhang
Guangyu Gao
CLLVLM
302
7
0
13 Jul 2024
iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental
  Learning
iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning
Tom Fischer
Yaoyao Liu
Artur Jesslen
Noor Ahmed
Prakhar Kaushik
Angtian Wang
Yaoyao Liu
Adam Kortylewski
Eddy Ilg
CLLAI4CE
204
2
0
12 Jul 2024
Overcoming Catastrophic Forgetting in Tabular Data Classification: A
  Pseudorehearsal-based approach
Overcoming Catastrophic Forgetting in Tabular Data Classification: A Pseudorehearsal-based approach
Pablo García Santaclara
Bruno Fernández Castro
Rebeca P. Díaz Redondo
LMTD
237
1
0
12 Jul 2024
CLEO: Continual Learning of Evolving Ontologies
CLEO: Continual Learning of Evolving Ontologies
Shishir Muralidhara
Saqib Bukhari
Georg Schneider
Didier Stricker
René Schuster
CLL
230
2
0
11 Jul 2024
How to Leverage Predictive Uncertainty Estimates for Reducing Catastrophic Forgetting in Online Continual Learning
How to Leverage Predictive Uncertainty Estimates for Reducing Catastrophic Forgetting in Online Continual Learning
Giuseppe Serra
Ben Werner
Florian Buettner
420
5
0
10 Jul 2024
Certified Continual Learning for Neural Network Regression
Certified Continual Learning for Neural Network Regression
Long H. Pham
Jun Sun
294
3
0
09 Jul 2024
Mind the Interference: Retaining Pre-trained Knowledge in Parameter
  Efficient Continual Learning of Vision-Language Models
Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models
Longxiang Tang
Zhuotao Tian
Kai Li
Chunming He
Hantao Zhou
Hengshuang Zhao
Xiu Li
Jiaya Jia
CLLVLM
292
37
0
07 Jul 2024
HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient Tuning
HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient Tuning
Liyuan Wang
Jingyi Xie
Xingxing Zhang
Hang Su
Jun Zhu
CLL
307
14
0
07 Jul 2024
PECTP: Parameter-Efficient Cross-Task Prompts for Incremental Vision
  Transformer
PECTP: Parameter-Efficient Cross-Task Prompts for Incremental Vision Transformer
Qian Feng
Hanbin Zhao
Chao Zhang
Jiahua Dong
Henghui Ding
Yu-Gang Jiang
Hui Qian
VLM
165
6
0
04 Jul 2024
TEAL: New Selection Strategy for Small Buffers in Experience Replay
  Class Incremental Learning
TEAL: New Selection Strategy for Small Buffers in Experience Replay Class Incremental Learning
Shahar Shaul-Ariel
D. Weinshall
VLM
207
1
0
30 Jun 2024
Characterizing Continual Learning Scenarios and Strategies for Audio
  Analysis
Characterizing Continual Learning Scenarios and Strategies for Audio Analysis
Ruchi Bhatt
Pratibha Kumari
Dwarikanath Mahapatra
Abdulmotaleb El Saddik
Mukesh Saini
CLL
352
5
0
29 Jun 2024
Learn it or Leave it: Module Composition and Pruning for Continual
  Learning
Learn it or Leave it: Module Composition and Pruning for Continual Learning
Mingyang Wang
Heike Adel
Lukas Lange
Jannik Strötgen
Hinrich Schütze
CLLKELM
187
4
0
26 Jun 2024
MoE-CT: A Novel Approach For Large Language Models Training With
  Resistance To Catastrophic Forgetting
MoE-CT: A Novel Approach For Large Language Models Training With Resistance To Catastrophic Forgetting
Tianhao Li
Shangjie Li
Binbin Xie
Deyi Xiong
Baosong Yang
CLL
312
6
0
25 Jun 2024
Forget but Recall: Incremental Latent Rectification in Continual
  Learning
Forget but Recall: Incremental Latent Rectification in Continual Learning
Nghia D. Nguyen
Hieu Trung Nguyen
Ang Li
H. Pham
Viet Anh Nguyen
Khoa D. Doan
CLL
229
0
0
25 Jun 2024
EVCL: Elastic Variational Continual Learning with Weight Consolidation
EVCL: Elastic Variational Continual Learning with Weight Consolidation
Hunar Batra
Ronald Clark
CLL
225
6
0
23 Jun 2024
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