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Continual Learning with Deep Generative Replay

Continual Learning with Deep Generative Replay

24 May 2017
Hanul Shin
Jung Kwon Lee
Jaehong Kim
Jiwon Kim
    KELM
    CLL
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Papers citing "Continual Learning with Deep Generative Replay"

50 / 407 papers shown
Title
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
VLM
CLL
45
3
0
22 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
35
2
0
19 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
CLL
VLM
58
4
0
13 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
47
5
0
07 Jul 2024
Continual Learning with Diffusion-based Generative Replay for Industrial
  Streaming Data
Continual Learning with Diffusion-based Generative Replay for Industrial Streaming Data
Jiayi He
Jiao Chen
Qianmiao Liu
Suyan Dai
Jianhua Tang
Dongpo Liu
DiffM
AI4CE
45
4
0
22 Jun 2024
CLoG: Benchmarking Continual Learning of Image Generation Models
CLoG: Benchmarking Continual Learning of Image Generation Models
Haotian Zhang
Junting Zhou
Haowei Lin
Hang Ye
Jianhua Zhu
Zihao Wang
Liangcai Gao
Yizhou Wang
Yitao Liang
DiffM
VLM
44
1
0
07 Jun 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
AGALE: A Graph-Aware Continual Learning Evaluation Framework
AGALE: A Graph-Aware Continual Learning Evaluation Framework
Tianqi Zhao
Alan Hanjalic
Megha Khosla
40
1
0
03 Jun 2024
Lifelong Learning and Selective Forgetting via Contrastive Strategy
Lifelong Learning and Selective Forgetting via Contrastive Strategy
Li Shan
Wenzhang Zhou
Wei Li
Xingyu Ding
CLL
31
2
0
28 May 2024
A Classifier-Free Incremental Learning Framework for Scalable Medical
  Image Segmentation
A Classifier-Free Incremental Learning Framework for Scalable Medical Image Segmentation
Xiaoyang Chen
Hao Zheng
Yifang Xie
Yuncong Ma
Tengfei Li
CLL
48
0
0
25 May 2024
FeTT: Continual Class Incremental Learning via Feature Transformation
  Tuning
FeTT: Continual Class Incremental Learning via Feature Transformation Tuning
Sunyuan Qiang
Xuxin Lin
Yanyan Liang
Jun Wan
Du Zhang
CLL
50
1
0
20 May 2024
Active Dendrites Enable Efficient Continual Learning in
  Time-To-First-Spike Neural Networks
Active Dendrites Enable Efficient Continual Learning in Time-To-First-Spike Neural Networks
Lorenzo Pes
Rick Luiken
Federico Corradi
Charlotte Frenkel
40
5
0
30 Apr 2024
MuseumMaker: Continual Style Customization without Catastrophic
  Forgetting
MuseumMaker: Continual Style Customization without Catastrophic Forgetting
Chenxi Liu
Gan Sun
Wenqi Liang
Jiahua Dong
Can Qin
Yang Cong
DiffM
50
3
0
25 Apr 2024
Brain-Inspired Continual Learning-Robust Feature Distillation and
  Re-Consolidation for Class Incremental Learning
Brain-Inspired Continual Learning-Robust Feature Distillation and Re-Consolidation for Class Incremental Learning
Hikmat Khan
N. Bouaynaya
Ghulam Rasool
CLL
38
1
0
22 Apr 2024
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
Huiyi Wang
Haodong Lu
Lina Yao
Dong Gong
KELM
CLL
50
9
0
27 Mar 2024
Confidence Self-Calibration for Multi-Label Class-Incremental Learning
Confidence Self-Calibration for Multi-Label Class-Incremental Learning
Kaile Du
Yifan Zhou
Fan Lyu
Yuyang Li
Chen Lu
Guangcan Liu
CLL
44
2
0
19 Mar 2024
PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks
PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks
Philip Matthias Winter
M. Wimmer
David Major
Dimitrios Lenis
Astrid Berg
Theresa Neubauer
Gaia Romana De Paolis
Johannes Novotny
Sophia Ulonska
Katja Bühler
41
0
0
18 Mar 2024
PAGE: Domain-Incremental Adaptation with Past-Agnostic Generative Replay
  for Smart Healthcare
PAGE: Domain-Incremental Adaptation with Past-Agnostic Generative Replay for Smart Healthcare
Chia-Hao Li
N. Jha
MedIm
48
0
0
13 Mar 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
HOP to the Next Tasks and Domains for Continual Learning in NLP
HOP to the Next Tasks and Domains for Continual Learning in NLP
Umberto Michieli
Mete Ozay
VLM
44
2
0
28 Feb 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
Making Pre-trained Language Models Better Continual Few-Shot Relation
  Extractors
Making Pre-trained Language Models Better Continual Few-Shot Relation Extractors
Shengkun Ma
Jiale Han
Yi Liang
Bo Cheng
CLL
VLM
35
6
0
24 Feb 2024
DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based
  Graph Continual Learning
DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based Graph Continual Learning
Seungyoon Choi
Wonjoong Kim
Sungwon Kim
Yeonjun In
Sein Kim
Chanyoung Park
CLL
32
5
0
21 Feb 2024
Towards Robust Graph Incremental Learning on Evolving Graphs
Towards Robust Graph Incremental Learning on Evolving Graphs
Junwei Su
Difan Zou
Zijun Zhang
Chuan Wu
CLL
OOD
43
18
0
20 Feb 2024
TinyCL: An Efficient Hardware Architecture for Continual Learning on Autonomous Systems
TinyCL: An Efficient Hardware Architecture for Continual Learning on Autonomous Systems
Eugenio Ressa
Alberto Marchisio
Maurizio Martina
Guido Masera
Mohamed Bennai
48
0
0
15 Feb 2024
Continual Learning on Graphs: A Survey
Continual Learning on Graphs: A Survey
Zonggui Tian
Duanhao Zhang
Hong-Ning Dai
57
5
0
09 Feb 2024
Privacy-Preserving Synthetic Continual Semantic Segmentation for Robotic
  Surgery
Privacy-Preserving Synthetic Continual Semantic Segmentation for Robotic Surgery
Mengya Xu
Mobarakol Islam
Long Bai
Hongliang Ren
33
5
0
08 Feb 2024
Memory-Efficient Prompt Tuning for Incremental Histopathology
  Classification
Memory-Efficient Prompt Tuning for Incremental Histopathology Classification
Yu Zhu
Kang Li
Lequan Yu
Pheng-Ann Heng
VLM
42
0
0
22 Jan 2024
SAPT: A Shared Attention Framework for Parameter-Efficient Continual
  Learning of Large Language Models
SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language Models
Weixiang Zhao
Shilong Wang
Yulin Hu
Yanyan Zhao
Bing Qin
Xuanyu Zhang
Qing Yang
Dongliang Xu
Wanxiang Che
KELM
CLL
39
12
0
16 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
47
3
0
12 Jan 2024
Infinite dSprites for Disentangled Continual Learning: Separating Memory
  Edits from Generalization
Infinite dSprites for Disentangled Continual Learning: Separating Memory Edits from Generalization
Sebastian Dziadzio
cCaugatay Yildiz
Gido M. van de Ven
Tomasz Trzciñski
Tinne Tuytelaars
Matthias Bethge
32
1
0
27 Dec 2023
Federated Continual Learning via Knowledge Fusion: A Survey
Federated Continual Learning via Knowledge Fusion: A Survey
Xin Yang
Hao Yu
Xin Gao
Hao Wang
Junbo Zhang
Tianrui Li
FedML
41
33
0
27 Dec 2023
Exploring UMAP in hybrid models of entropy-based and representativeness
  sampling for active learning in biomedical segmentation
Exploring UMAP in hybrid models of entropy-based and representativeness sampling for active learning in biomedical segmentation
Hai Siong Tan
Kuancheng Wang
R. Mcbeth
46
3
0
16 Dec 2023
Benchmarking Continual Learning from Cognitive Perspectives
Benchmarking Continual Learning from Cognitive Perspectives
Xiaoqian Liu
Junge Zhang
Mingyi Zhang
Peipei Yang
21
0
0
06 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
Continual Learning of Diffusion Models with Generative Distillation
Continual Learning of Diffusion Models with Generative Distillation
Sergi Masip
Pau Rodriguez
Tinne Tuytelaars
Gido M. van de Ven
VLM
DiffM
38
8
0
23 Nov 2023
PACOL: Poisoning Attacks Against Continual Learners
PACOL: Poisoning Attacks Against Continual Learners
Huayu Li
G. Ditzler
AAML
25
2
0
18 Nov 2023
Two Complementary Perspectives to Continual Learning: Ask Not Only What
  to Optimize, But Also How
Two Complementary Perspectives to Continual Learning: Ask Not Only What to Optimize, But Also How
Timm Hess
Tinne Tuytelaars
Gido M. van de Ven
46
7
0
08 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
35
12
0
31 Oct 2023
Continual Named Entity Recognition without Catastrophic Forgetting
Continual Named Entity Recognition without Catastrophic Forgetting
Duzhen Zhang
Wei Cong
Jiahua Dong
Yahan Yu
Xiuyi Chen
Yonggang Zhang
Zhen Fang
28
10
0
23 Oct 2023
Rethinking Class-incremental Learning in the Era of Large Pre-trained
  Models via Test-Time Adaptation
Rethinking Class-incremental Learning in the Era of Large Pre-trained Models via Test-Time Adaptation
Imad Eddine Marouf
Subhankar Roy
Enzo Tartaglione
Stéphane Lathuilière
CLL
34
3
0
17 Oct 2023
CoinSeg: Contrast Inter- and Intra- Class Representations for
  Incremental Segmentation
CoinSeg: Contrast Inter- and Intra- Class Representations for Incremental Segmentation
Zekang Zhang
Guangyu Gao
Jianbo Jiao
C. Liu
Yunchao Wei
48
21
0
10 Oct 2023
Clustering-based Domain-Incremental Learning
Clustering-based Domain-Incremental Learning
Christiaan Lamers
René Vidal
A. Belbachir
Niki van Stein
Thomas Baeck
Paris Giampouras
CLL
OOD
34
10
0
21 Sep 2023
CLNeRF: Continual Learning Meets NeRF
CLNeRF: Continual Learning Meets NeRF
Zhipeng Cai
Matthias Mueller
CLL
31
15
0
28 Aug 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
18
13
0
11 Aug 2023
Learning to Paraphrase Sentences to Different Complexity Levels
Learning to Paraphrase Sentences to Different Complexity Levels
Alison Chi
Li-Kuang Chen
Yi-Chen Chang
Shu-Hui Lee
Jason J. S. Chang
24
10
0
04 Aug 2023
Neural Collapse Terminus: A Unified Solution for Class Incremental
  Learning and Its Variants
Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants
Yibo Yang
Haobo Yuan
Hefei Ling
Jianlong Wu
Lefei Zhang
Zhouchen Lin
Philip Torr
Dacheng Tao
Guohao Li
CLL
33
8
0
03 Aug 2023
Image Captions are Natural Prompts for Text-to-Image Models
Image Captions are Natural Prompts for Text-to-Image Models
Shiye Lei
Hao Chen
Senyang Zhang
Bo Zhao
Dacheng Tao
VLM
34
19
0
17 Jul 2023
Test-Time Training on Video Streams
Test-Time Training on Video Streams
Renhao Wang
Yu Sun
Yossi Gandelsman
Xinlei Chen
Alexei A. Efros
Alexei A. Efros
Xiaolong Wang
TTA
ViT
3DGS
47
16
0
11 Jul 2023
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