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On Tiny Episodic Memories in Continual Learning
v1v2v3v4 (latest)

On Tiny Episodic Memories in Continual Learning

27 February 2019
Arslan Chaudhry
Marcus Rohrbach
Mohamed Elhoseiny
Thalaiyasingam Ajanthan
P. Dokania
Juil Sock
MarcÁurelio Ranzato
    CLL
ArXiv (abs)PDFHTML

Papers citing "On Tiny Episodic Memories in Continual Learning"

50 / 270 papers shown
Title
Harmonious Parameter Adaptation in Continual Visual Instruction Tuning for Safety-Aligned MLLMs
Harmonious Parameter Adaptation in Continual Visual Instruction Tuning for Safety-Aligned MLLMs
Z. J. Wang
Chang Che
Qi Wang
Hui Ma
Zenglin Shi
Cees G. M. Snoek
Meng Wang
CLL
192
0
0
25 Nov 2025
Mixtures of SubExperts for Large Language Continual Learning
Mixtures of SubExperts for Large Language Continual Learning
Haeyong Kang
CLLKELMMoE
199
0
0
09 Nov 2025
Benchmarking Catastrophic Forgetting Mitigation Methods in Federated Time Series Forecasting
Benchmarking Catastrophic Forgetting Mitigation Methods in Federated Time Series Forecasting
Khaled Hallak
Oudom Kem
AI4TS
104
0
0
24 Oct 2025
Learning After Model Deployment
Learning After Model Deployment
Derda Kaymak
Gyuhak Kim
Tomoya Kaichi
Tatsuya Konishi
Bing-Quan Liu
96
0
0
20 Oct 2025
DOLFIN: Balancing Stability and Plasticity in Federated Continual Learning
DOLFIN: Balancing Stability and Plasticity in Federated Continual Learning
Omayma Moussadek
Riccardo Salami
Simone Calderara
FedMLCLL
178
0
0
15 Oct 2025
Design-Based Bandits Under Network Interference: Trade-Off Between Regret and Statistical Inference
Design-Based Bandits Under Network Interference: Trade-Off Between Regret and Statistical Inference
Zichen Wang
Haoyang Hong
Chuanhao Li
Haoxuan Li
Zhiheng Zhang
Huazheng Wang
112
0
0
09 Oct 2025
DATS: Distance-Aware Temperature Scaling for Calibrated Class-Incremental Learning
DATS: Distance-Aware Temperature Scaling for Calibrated Class-Incremental Learning
Giuseppe Serra
Florian Buettner
128
0
0
25 Sep 2025
Lifelong Learner: Discovering Versatile Neural Solvers for Vehicle Routing Problems
Lifelong Learner: Discovering Versatile Neural Solvers for Vehicle Routing Problems
Shaodi Feng
Zhuoyi Lin
Jianan Zhou
Cong Zhang
Jingwen Li
Kuan-Wen Chen
Senthilnath Jayavelu
Yew-Soon Ong
128
1
0
08 Aug 2025
Prediction-Oriented Subsampling from Data Streams
Prediction-Oriented Subsampling from Data Streams
Benedetta Lavinia Mussati
Freddie Bickford-Smith
Tom Rainforth
Stephen J. Roberts
171
0
0
05 Aug 2025
Online Continual Learning via Spiking Neural Networks with Sleep Enhanced Latent Replay
Online Continual Learning via Spiking Neural Networks with Sleep Enhanced Latent Replay
Erliang Lin
Wenbin Luo
Wei Jia
Yu Chen
Shaofu Yang
CLL
283
0
0
23 Jun 2025
Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning
Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning
Chendi Ge
Xin Eric Wang
Zeyang Zhang
Hong Chen
Jiapei Fan
Longtao Huang
Hui Xue
Wenwu Zhu
MoECLL
198
5
0
13 Jun 2025
Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning
Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning
Yuheng Lei
Sitong Mao
Shunbo Zhou
Hongyuan Zhang
Xuelong Li
Ping Luo
CLL
200
0
0
06 Jun 2025
Unlocking the Power of Rehearsal in Continual Learning: A Theoretical Perspective
Unlocking the Power of Rehearsal in Continual Learning: A Theoretical Perspective
Junze Deng
Qinhang Wu
Peizhong Ju
Sen Lin
Yingbin Liang
Ness B. Shroff
CLL
223
0
0
30 May 2025
A Unified Gradient-based Framework for Task-agnostic Continual Learning-Unlearning
A Unified Gradient-based Framework for Task-agnostic Continual Learning-Unlearning
Zhehao Huang
Xinwen Cheng
Jing Zhang
Jinghao Zheng
Haoran Wang
Zhengbao He
Tao Li
Xiaolin Huang
CLL
264
1
0
21 May 2025
TPT-Bench: A Large-Scale, Long-Term and Robot-Egocentric Dataset for Benchmarking Target Person Tracking
TPT-Bench: A Large-Scale, Long-Term and Robot-Egocentric Dataset for Benchmarking Target Person Tracking
Hanjing Ye
Yu Zhan
Weixi Situ
Guangcheng Chen
Jingwen Yu
Kuanqi Cai
Kuanqi Cai
Arash Ajoudani
H. Zhang
315
3
0
12 May 2025
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
501
0
0
07 May 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
277
4
0
28 Apr 2025
Harmony: A Unified Framework for Modality Incremental Learning
Harmony: A Unified Framework for Modality Incremental Learning
Y. Song
Xiaoshan Yang
Shihong Deng
Yaowei Wang
Changsheng Xu
CLL
359
0
0
17 Apr 2025
Query-based Knowledge Transfer for Heterogeneous Learning Environments
Query-based Knowledge Transfer for Heterogeneous Learning EnvironmentsInternational Conference on Learning Representations (ICLR), 2025
Norah Alballa
Wenxuan Zhang
Ziquan Liu
A. Abdelmoniem
Mohamed Elhoseiny
Marco Canini
330
2
0
12 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
946
0
0
11 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
259
0
0
31 Mar 2025
Ferret: An Efficient Online Continual Learning Framework under Varying Memory Constraints
Ferret: An Efficient Online Continual Learning Framework under Varying Memory ConstraintsComputer Vision and Pattern Recognition (CVPR), 2025
Yuhao Zhou
Yuxin Tian
Jindi Lv
Mingjia Shi
Yuanxi Li
Qing Ye
Shuhao Zhang
Jiancheng Lv
CLL
268
1
0
15 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
304
0
0
10 Mar 2025
PTMs-TSCIL Pre-Trained Models Based Class-Incremental Learning
Yuanlong Wu
Mingxing Nie
Tao Zhu
L. Chen
Huansheng Ning
Yaping Wan
CLL
287
0
0
10 Mar 2025
Sequential Function-Space Variational Inference via Gaussian Mixture Approximation
Sequential Function-Space Variational Inference via Gaussian Mixture Approximation
Menghao Waiyan William Zhu
Pengcheng Hao
E. Kuruoglu
BDL
240
0
0
10 Mar 2025
A Good Start Matters: Enhancing Continual Learning with Data-Driven Weight Initialization
A Good Start Matters: Enhancing Continual Learning with Data-Driven Weight Initialization
Md Yousuf Harun
Christopher Kanan
AI4CE
298
2
0
09 Mar 2025
CL-MoE: Enhancing Multimodal Large Language Model with Dual Momentum Mixture-of-Experts for Continual Visual Question AnsweringComputer Vision and Pattern Recognition (CVPR), 2025
Tianyu Huai
Jie Zhou
Xingjiao Wu
Qin Chen
Qingchun Bai
Ze Zhou
Liang He
MoE
297
10
0
01 Mar 2025
Same accuracy, twice as fast: continuous training surpasses retraining from scratch
Same accuracy, twice as fast: continuous training surpasses retraining from scratch
Eli Verwimp
Guy Hacohen
Tinne Tuytelaars
OnRL
205
5
0
28 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
341
0
0
25 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
Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning
Online Curvature-Aware Replay: Leveraging 2nd\mathbf{2^{nd}}2nd Order Information for Online Continual Learning
Edoardo Urettini
Antonio Carta
276
2
0
03 Feb 2025
VLM-Assisted Continual learning for Visual Question Answering in Self-Driving
VLM-Assisted Continual learning for Visual Question Answering in Self-Driving
Yuxin Lin
Mengshi Qi
Liang Liu
Huadong Ma
CLL
267
4
0
02 Feb 2025
Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection
Continual Learning with Strategic Selection and Forgetting for Network Intrusion DetectionIEEE Conference on Computer Communications (INFOCOM), 2024
Xinchen Zhang
Running Zhao
Zhihan Jiang
Handi Chen
Yulong Ding
Edith C.H. Ngai
Shuang-Hua Yang
AAML
525
7
0
20 Dec 2024
Soft-TransFormers for Continual Learning
Soft-TransFormers for Continual Learning
Haeyong Kang
Chang D. Yoo
CLL
368
0
0
25 Nov 2024
C$^{2}$INet: Realizing Incremental Trajectory Prediction with
  Prior-Aware Continual Causal Intervention
C2^{2}2INet: Realizing Incremental Trajectory Prediction with Prior-Aware Continual Causal Intervention
Xiaohe Li
Feilong Huang
Zide Fan
Fangli Mou
Leilei Lin
Yingyan Hou
Lijie Wen
278
0
0
19 Nov 2024
Continual Memorization of Factoids in Language Models
Continual Memorization of Factoids in Language Models
Howard Chen
Jiayi Geng
Adithya Bhaskar
Dan Friedman
Danqi Chen
KELM
330
2
0
11 Nov 2024
Online-LoRA: Task-free Online Continual Learning via Low Rank Adaptation
Online-LoRA: Task-free Online Continual Learning via Low Rank AdaptationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Xiwen Wei
Guihong Li
R. Marculescu
225
13
0
08 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
Wanrong Zhu
Huajie Shao
VLMDD
269
2
0
20 Oct 2024
SLIM: Let LLM Learn More and Forget Less with Soft LoRA and Identity Mixture
SLIM: Let LLM Learn More and Forget Less with Soft LoRA and Identity MixtureNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024
Jiayi Han
Liang Du
Hongwei Du
Xiangguo Zhou
Yiwen Wu
Weibo Zheng
Donghong Han
CLLMoMeMoE
257
7
0
10 Oct 2024
Continual Learning in the Frequency Domain
Continual Learning in the Frequency DomainNeural Information Processing Systems (NeurIPS), 2024
Ruiqi Liu
Boyu Diao
Libo Huang
Zijia An
Zhulin An
Yongjun Xu
VLMCLL
336
16
0
09 Oct 2024
Does RoBERTa Perform Better than BERT in Continual Learning: An
  Attention Sink Perspective
Does RoBERTa Perform Better than BERT in Continual Learning: An Attention Sink Perspective
Xueying Bai
Yifan Sun
Niranjan Balasubramanian
CLL
224
1
0
08 Oct 2024
Fair Class-Incremental Learning using Sample Weighting
Fair Class-Incremental Learning using Sample Weighting
Jaeyoung Park
Minsu Kim
Steven Euijong Whang
313
0
0
02 Oct 2024
Caption, Create, Continue: Continual Learning with Pre-trained Generative Vision-Language Models
Caption, Create, Continue: Continual Learning with Pre-trained Generative Vision-Language Models
Indu Solomon
Aye Phyu Phyu Aung
Uttam Kumar
Senthilnath Jayavelu
VLMCLL
273
0
0
26 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
188
0
0
21 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
274
1
0
02 Sep 2024
Bi-Factorial Preference Optimization: Balancing Safety-Helpfulness in Language Models
Bi-Factorial Preference Optimization: Balancing Safety-Helpfulness in Language ModelsInternational Conference on Learning Representations (ICLR), 2024
Wenxuan Zhang
Juil Sock
Mohamed Elhoseiny
Adel Bibi
459
22
0
27 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
262
0
0
11 Aug 2024
Continual Distillation Learning: Knowledge Distillation in Prompt-based Continual Learning
Continual Distillation Learning: Knowledge Distillation in Prompt-based Continual Learning
Qifan Zhang
Yunhui Guo
Yu Xiang
CLLVLM
564
0
0
18 Jul 2024
Continual Deep Learning on the Edge via Stochastic Local Competition
  among Subnetworks
Continual Deep Learning on the Edge via Stochastic Local Competition among Subnetworks
Theodoros Christophides
Kyriakos Tolias
S. Chatzis
234
0
0
15 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
218
1
0
12 Jul 2024
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