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Learning to Remember: A Synaptic Plasticity Driven Framework for
  Continual Learning

Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning

5 April 2019
O. Ostapenko
M. Puscas
T. Klein
P. Jähnichen
Moin Nabi
    CLL
ArXivPDFHTML

Papers citing "Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning"

50 / 181 papers shown
Title
Autoencoder-Based Hybrid Replay for Class-Incremental Learning
Autoencoder-Based Hybrid Replay for Class-Incremental Learning
M. Nori
Il Kim
Guanghui Wang
CLL
42
0
0
09 May 2025
SEFE: Superficial and Essential Forgetting Eliminator for Multimodal Continual Instruction Tuning
SEFE: Superficial and Essential Forgetting Eliminator for Multimodal Continual Instruction Tuning
Jinpeng Chen
Runmin Cong
Yuzhi Zhao
Hongzheng Yang
Guangneng Hu
H. Ip
Sam Kwong
CLL
KELM
70
0
0
05 May 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
3DPC
CLL
36
0
0
11 Apr 2025
Proxy-Anchor and EVT-Driven Continual Learning Method for Generalized Category Discovery
Proxy-Anchor and EVT-Driven Continual Learning Method for Generalized Category Discovery
Alireza Fathalizadeh
Roozbeh Razavi-Far
CLL
36
0
0
11 Apr 2025
BECAME: BayEsian Continual Learning with Adaptive Model MErging
BECAME: BayEsian Continual Learning with Adaptive Model MErging
Mei Li
Yuxiang Lu
Qinyan Dai
Suizhi Huang
Yue Ding
Hongtao Lu
CLL
MoMe
44
0
0
03 Apr 2025
IAP: Improving Continual Learning of Vision-Language Models via Instance-Aware Prompting
IAP: Improving Continual Learning of Vision-Language Models via Instance-Aware Prompting
Hao Fu
Hanbin Zhao
Jiahua Dong
Chao Zhang
Hui Qian
CLL
VLM
84
0
0
26 Mar 2025
ProtoDepth: Unsupervised Continual Depth Completion with Prototypes
ProtoDepth: Unsupervised Continual Depth Completion with Prototypes
Patrick Rim
Hyoungseob Park
Suchisrit Gangopadhyay
Ziyao Zeng
Younjoon Chung
Alex Wong
CLL
MDE
61
1
0
17 Mar 2025
Continual Learning for Multiple Modalities
Hyundong Jin
Eunwoo Kim
CLL
64
0
0
11 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
Advancing Prompt-Based Methods for Replay-Independent General Continual Learning
Zhiqi Kang
Liyuan Wang
Xingxing Zhang
Karteek Alahari
CLL
VLM
36
1
0
02 Mar 2025
Continual Audio-Visual Sound Separation
Continual Audio-Visual Sound Separation
Weiguo Pian
Yiyang Nan
Shijian Deng
Shentong Mo
Yunhui Guo
Yapeng Tian
VLM
CLL
41
0
0
05 Nov 2024
SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning
  with Pre-Trained Models
SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained Models
Linglan Zhao
Xuerui Zhang
K. Yan
Shouhong Ding
Weiran Huang
CLL
39
0
0
04 Nov 2024
Hybrid Memory Replay: Blending Real and Distilled Data for Class
  Incremental Learning
Hybrid Memory Replay: Blending Real and Distilled Data for Class Incremental Learning
Jiangtao Kong
Jiacheng Shi
Ashley Gao
Shaohan Hu
Tianyi Zhou
Huajie Shao
VLM
DD
36
1
0
20 Oct 2024
MIRACLE3D: Memory-efficient Integrated Robust Approach for Continual Learning on Point Clouds via Shape Model Construction
MIRACLE3D: Memory-efficient Integrated Robust Approach for Continual Learning on Point Clouds via Shape Model Construction
Hossein Resani
B. Nasihatkon
3DV
74
0
0
08 Oct 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
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
26
0
0
14 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 Selection
Hossein Resani
B. Nasihatkon
Mohammadreza Alimoradi Jazi
3DPC
36
2
0
12 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
34
1
0
02 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
Constructing Enhanced Mutual Information for Online Class-Incremental
  Learning
Constructing Enhanced Mutual Information for Online Class-Incremental Learning
Huan Zhang
Fan Lyu
Shenghua Fan
Yujin Zheng
Dingwen Wang
CLL
35
0
0
26 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
38
4
0
23 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
19
0
0
20 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
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
18
6
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
CLL
VLM
33
4
0
13 Jul 2024
Embracing Massive Medical Data
Embracing Massive Medical Data
Yu-Cheng Chou
Zongwei Zhou
Alan Yuille
CLL
OOD
27
4
0
05 Jul 2024
Integrating Present and Past in Unsupervised Continual Learning
Integrating Present and Past in Unsupervised Continual Learning
Yipeng Zhang
Laurent Charlin
R. Zemel
Mengye Ren
CLL
24
2
0
29 Apr 2024
Tendency-driven Mutual Exclusivity for Weakly Supervised Incremental
  Semantic Segmentation
Tendency-driven Mutual Exclusivity for Weakly Supervised Incremental Semantic Segmentation
Chongjie Si
Xuehui Wang
Xiaokang Yang
Wei Shen
CLL
28
1
0
18 Apr 2024
Continual Learning of Range-Dependent Transmission Loss for Underwater
  Acoustic using Conditional Convolutional Neural Net
Continual Learning of Range-Dependent Transmission Loss for Underwater Acoustic using Conditional Convolutional Neural Net
Indu Kant Deo
Akash Venkateshwaran
R. Jaiman
AI4CE
25
3
0
11 Apr 2024
Continual Learning for Autonomous Robots: A Prototype-based Approach
Continual Learning for Autonomous Robots: A Prototype-based Approach
Elvin Hajizada
Balachandran Swaminathan
Yulia Sandamirskaya
CLL
21
1
0
30 Mar 2024
Orchestrate Latent Expertise: Advancing Online Continual Learning with
  Multi-Level Supervision and Reverse Self-Distillation
Orchestrate Latent Expertise: Advancing Online Continual Learning with Multi-Level Supervision and Reverse Self-Distillation
Hongwei Yan
Liyuan Wang
Kaisheng Ma
Yi Zhong
CLL
35
3
0
30 Mar 2024
Enhancing Visual Continual Learning with Language-Guided Supervision
Enhancing Visual Continual Learning with Language-Guided Supervision
Bolin Ni
Hongbo Zhao
Chenghao Zhang
Ke Hu
Gaofeng Meng
Zhaoxiang Zhang
Shiming Xiang
CLL
VLM
32
3
0
24 Mar 2024
Simple and Scalable Strategies to Continually Pre-train Large Language
  Models
Simple and Scalable Strategies to Continually Pre-train Large Language Models
Adam Ibrahim
Benjamin Thérien
Kshitij Gupta
Mats L. Richter
Quentin Anthony
Timothée Lesort
Eugene Belilovsky
Irina Rish
KELM
CLL
44
51
0
13 Mar 2024
Interactive Continual Learning Architecture for Long-Term
  Personalization of Home Service Robots
Interactive Continual Learning Architecture for Long-Term Personalization of Home Service Robots
Ali Ayub
Chrystopher L. Nehaniv
Kerstin Dautenhahn
CLL
28
3
0
06 Mar 2024
Recall-Oriented Continual Learning with Generative Adversarial
  Meta-Model
Recall-Oriented Continual Learning with Generative Adversarial Meta-Model
Haneol Kang
Dong-Wan Choi
CLL
BDL
23
1
0
05 Mar 2024
OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free
  Class-Incremental Learning
OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning
Wei-Cheng Huang
Chun-Fu Chen
Hsiang Hsu
VLM
20
11
0
06 Feb 2024
A Topology-aware Graph Coarsening Framework for Continual Graph Learning
A Topology-aware Graph Coarsening Framework for Continual Graph Learning
Xiaoxue Han
Zhuo Feng
Yue Ning
CLL
12
1
0
05 Jan 2024
Balancing Continual Learning and Fine-tuning for Human Activity
  Recognition
Balancing Continual Learning and Fine-tuning for Human Activity Recognition
Chi Ian Tang
Lorena Qendro
Dimitris Spathis
F. Kawsar
Akhil Mathur
Cecilia Mascolo
SSL
HAI
16
1
0
04 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
19
0
16 Dec 2023
Continual Diffusion with STAMINA: STack-And-Mask INcremental Adapters
Continual Diffusion with STAMINA: STack-And-Mask INcremental Adapters
James Seale Smith
Yen-Chang Hsu
Z. Kira
Yilin Shen
Hongxia Jin
DiffM
25
3
0
30 Nov 2023
Combining Past, Present and Future: A Self-Supervised Approach for Class
  Incremental Learning
Combining Past, Present and Future: A Self-Supervised Approach for Class Incremental Learning
Xiaoshuang Chen
Zhongyi Sun
Ke Yan
Shouhong Ding
Hongtao Lu
CLL
30
1
0
15 Nov 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
16
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
46
20
0
10 Oct 2023
Adaptive Visual Scene Understanding: Incremental Scene Graph Generation
Adaptive Visual Scene Understanding: Incremental Scene Graph Generation
Naitik Khandelwal
Xiao Liu
Mengmi Zhang
CLL
24
0
0
02 Oct 2023
Elephant Neural Networks: Born to Be a Continual Learner
Elephant Neural Networks: Born to Be a Continual Learner
Qingfeng Lan
A. R. Mahmood
CLL
30
9
0
02 Oct 2023
GRASP: A Rehearsal Policy for Efficient Online Continual Learning
GRASP: A Rehearsal Policy for Efficient Online Continual Learning
Md Yousuf Harun
Jhair Gallardo
Junyu Chen
Christopher Kanan
CLL
25
9
0
25 Aug 2023
Audio-Visual Class-Incremental Learning
Audio-Visual Class-Incremental Learning
Weiguo Pian
Shentong Mo
Yunhui Guo
Yapeng Tian
CLL
VLM
20
27
0
21 Aug 2023
CBCL-PR: A Cognitively Inspired Model for Class-Incremental Learning in
  Robotics
CBCL-PR: A Cognitively Inspired Model for Class-Incremental Learning in Robotics
Ali Ayub
Alan R. Wagner
CLL
27
4
0
31 Jul 2023
Integrating Curricula with Replays: Its Effects on Continual Learning
Integrating Curricula with Replays: Its Effects on Continual Learning
Ren Jie Tee
Mengmi Zhang
KELM
CLL
22
1
0
08 Jul 2023
Active Class Selection for Few-Shot Class-Incremental Learning
Active Class Selection for Few-Shot Class-Incremental Learning
Christopher McClurg
Ali Ayub
Harsh Tyagi
Sarah M. Rajtmajer
Alan R. Wagner
CLL
22
1
0
05 Jul 2023
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