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Gradient Episodic Memory for Continual Learning
v1v2v3v4v5v6 (latest)

Gradient Episodic Memory for Continual Learning

26 June 2017
David Lopez-Paz
MarcÁurelio Ranzato
    VLMCLL
ArXiv (abs)PDFHTML

Papers citing "Gradient Episodic Memory for Continual Learning"

50 / 1,594 papers shown
Title
Latent Distillation for Continual Object Detection at the Edge
Latent Distillation for Continual Object Detection at the Edge
Francesco Pasti
Marina Ceccon
Davide Dalle Pezze
Francesco Paissan
Elisabetta Farella
Gian Antonio Susto
Nicola Bellotto
76
4
0
03 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
97
2
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
82
1
0
02 Sep 2024
Incremental Open-set Domain Adaptation
Incremental Open-set Domain Adaptation
Sayan Rakshit
Hmrishav Bandyopadhyay
Nibaran Das
Biplab Banerjee
CLL
69
1
0
31 Aug 2024
Anno-incomplete Multi-dataset Detection
Anno-incomplete Multi-dataset Detection
Yiran Xu
Haoxiang Zhong
Kai Wu
Jialin Li
Yong Liu
Chengjie Wang
Shu-Tao Xia
Hongen Liao
ObjD
73
0
0
29 Aug 2024
Prior-free Balanced Replay: Uncertainty-guided Reservoir Sampling for
  Long-Tailed Continual Learning
Prior-free Balanced Replay: Uncertainty-guided Reservoir Sampling for Long-Tailed Continual Learning
Lei Liu
Li Liu
Yawen Cui
CLL
57
0
0
27 Aug 2024
Towards Lifelong Learning Embeddings: An Algorithmic Approach to
  Dynamically Extend Embeddings
Towards Lifelong Learning Embeddings: An Algorithmic Approach to Dynamically Extend Embeddings
Miguel Alves Gomes
Philipp Meisen
Tobias Meisen
41
0
0
26 Aug 2024
Dual-CBA: Improving Online Continual Learning via Dual Continual Bias
  Adaptors from a Bi-level Optimization Perspective
Dual-CBA: Improving Online Continual Learning via Dual Continual Bias Adaptors from a Bi-level Optimization Perspective
Quanziang Wang
Renzhen Wang
Yichen Wu
Xixi Jia
Minghao Zhou
Deyu Meng
87
1
0
26 Aug 2024
A Unified Framework for Continual Learning and Machine Unlearning
A Unified Framework for Continual Learning and Machine Unlearning
Romit Chatterjee
Vikram S Chundawat
Ayush K Tarun
Ankur Mali
Murari Mandal
CLLMU
114
1
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
54
1
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
104
0
0
19 Aug 2024
E-CGL: An Efficient Continual Graph Learner
E-CGL: An Efficient Continual Graph Learner
Jianhao Guo
Zixuan Ni
Yun Zhu
Siliang Tang
CLL
96
0
0
18 Aug 2024
TACOS: Task Agnostic Continual Learning in Spiking Neural Networks
TACOS: Task Agnostic Continual Learning in Spiking Neural Networks
Nicholas Soures
Peter Helfer
Anurag Daram
Tej Pandit
Dhireesha Kudithipudi
CLL
46
9
0
16 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
98
0
0
11 Aug 2024
AggSS: An Aggregated Self-Supervised Approach for Class-Incremental
  Learning
AggSS: An Aggregated Self-Supervised Approach for Class-Incremental Learning
Jayateja Kalla
Soma Biswas
SSL
78
0
0
08 Aug 2024
FDI: Attack Neural Code Generation Systems through User Feedback Channel
FDI: Attack Neural Code Generation Systems through User Feedback Channel
Zhensu Sun
Xiaoning Du
Xiapu Luo
Fu Song
David Lo
Li Li
AAML
67
3
0
08 Aug 2024
Learning to Learn without Forgetting using Attention
Learning to Learn without Forgetting using Attention
Anna Vettoruzzo
Joaquin Vanschoren
Mohamed-Rafik Bouguelia
Thorsteinn Rögnvaldsson
CLL
140
2
0
06 Aug 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
85
1
0
06 Aug 2024
The Need for a Big World Simulator: A Scientific Challenge for Continual
  Learning
The Need for a Big World Simulator: A Scientific Challenge for Continual Learning
Saurabh Kumar
Hong Jun Jeon
Alex Lewandowski
Benjamin Van Roy
93
0
0
06 Aug 2024
PMoE: Progressive Mixture of Experts with Asymmetric Transformer for
  Continual Learning
PMoE: Progressive Mixture of Experts with Asymmetric Transformer for Continual Learning
Min Jae Jung
Romain Rouvoy
KELMMoECLL
83
4
0
31 Jul 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
79
0
0
31 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
99
0
0
30 Jul 2024
MoFO: Momentum-Filtered Optimizer for Mitigating Forgetting in LLM Fine-Tuning
MoFO: Momentum-Filtered Optimizer for Mitigating Forgetting in LLM Fine-Tuning
Yupeng Chen
Senmiao Wang
Zhihang Lin
Zhihang Lin
Yushun Zhang
Tian Ding
Ruoyu Sun
Ruoyu Sun
CLL
177
5
0
30 Jul 2024
FTF-ER: Feature-Topology Fusion-Based Experience Replay Method for
  Continual Graph Learning
FTF-ER: Feature-Topology Fusion-Based Experience Replay Method for Continual Graph Learning
Jinhui Pang
Changqing Lin
Xiaoshuai Hao
Rong Yin
Zixuan Wang
Zhihui Zhang
Jinglin He
Huang Tai Sheng
83
4
0
28 Jul 2024
AHMF: Adaptive Hybrid-Memory-Fusion Model for Driver Attention
  Prediction
AHMF: Adaptive Hybrid-Memory-Fusion Model for Driver Attention Prediction
Dongyang Xu
Qingfan Wang
Ji Ma
Xiangyun Zeng
Lei Chen
72
0
0
24 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
163
2
0
24 Jul 2024
Local vs Global continual learning
Local vs Global continual learning
Giulia Lanzillotta
Sidak Pal Singh
Benjamin Grewe
Thomas Hofmann
CLL
80
0
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
81
6
0
22 Jul 2024
Flatness-aware Sequential Learning Generates Resilient Backdoors
Flatness-aware Sequential Learning Generates Resilient Backdoors
Hoang Pham
The-Anh Ta
Anh Tran
Khoa D. Doan
FedMLAAML
73
1
0
20 Jul 2024
An Attention-based Representation Distillation Baseline for Multi-Label
  Continual Learning
An Attention-based Representation Distillation Baseline for Multi-Label Continual Learning
Martin Menabue
Emanuele Frascaroli
Matteo Boschini
Lorenzo Bonicelli
Angelo Porrello
Simone Calderara
CLL
63
0
0
19 Jul 2024
Class-Incremental Learning with CLIP: Adaptive Representation Adjustment
  and Parameter Fusion
Class-Incremental Learning with CLIP: Adaptive Representation Adjustment and Parameter Fusion
Linlan Huang
Xusheng Cao
Haori Lu
Xialei Liu
CLL
118
18
0
19 Jul 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
171
0
0
18 Jul 2024
ER-FSL: Experience Replay with Feature Subspace Learning for Online
  Continual Learning
ER-FSL: Experience Replay with Feature Subspace Learning for Online Continual Learning
Huiwei Lin
CLL
136
0
0
17 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
90
1
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
93
7
0
16 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
82
0
0
15 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
99
5
0
13 Jul 2024
Human-like Episodic Memory for Infinite Context LLMs
Human-like Episodic Memory for Infinite Context LLMs
Zafeirios Fountas
Martin A Benfeghoul
Adnan Oomerjee
Fenia Christopoulou
Gerasimos Lampouras
Haitham Bou-Ammar
Jun Wang
88
21
0
12 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
Alan Yuille
Adam Kortylewski
Eddy Ilg
CLLAI4CE
81
1
0
12 Jul 2024
Cs2K: Class-specific and Class-shared Knowledge Guidance for Incremental
  Semantic Segmentation
Cs2K: Class-specific and Class-shared Knowledge Guidance for Incremental Semantic Segmentation
Wei Cong
Yang Cong
Yuyang Liu
Gan Sun
VLMCLL
75
3
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
97
0
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
75
1
0
11 Jul 2024
Towards stable training of parallel continual learning
Towards stable training of parallel continual learning
Li Yuepan
Fan Lyu
Yuyang Li
Wei Feng
Guangcan Liu
Fanhua Shang
94
0
0
11 Jul 2024
Lifelong Histopathology Whole Slide Image Retrieval via Distance
  Consistency Rehearsal
Lifelong Histopathology Whole Slide Image Retrieval via Distance Consistency Rehearsal
Xinyu Zhu
Zhiguo Jiang
Kun-Hsuan Wu
Jun Shi
Yushan Zheng
CLL
99
4
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
88
2
0
10 Jul 2024
Neuromimetic metaplasticity for adaptive continual learning
Neuromimetic metaplasticity for adaptive continual learning
Suhee Cho
Hyeonsu Lee
Seungdae Baek
Se-Bum Paik
49
2
0
09 Jul 2024
CrowdTransfer: Enabling Crowd Knowledge Transfer in AIoT Community
CrowdTransfer: Enabling Crowd Knowledge Transfer in AIoT Community
Yan Liu
Bin Guo
Nuo Li
Yasan Ding
Zhouyangzi Zhang
Zhiwen Yu
138
1
0
09 Jul 2024
Fast and Continual Knowledge Graph Embedding via Incremental LoRA
Fast and Continual Knowledge Graph Embedding via Incremental LoRA
Jiajun Liu
Wenjun Ke
Peng Wang
Jiahao Wang
Jinhua Gao
Ziyu Shang
Guozheng Li
Zijie Xu
Ke Ji
Yining Li
CLL
79
6
0
08 Jul 2024
Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning
Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning
Xiaojie Li
Yibo Yang
Jianlong Wu
Guohao Li
Ming-Hsuan Yang
Liqiang Nie
M. Zhang
Mamba
99
6
0
08 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
103
24
0
07 Jul 2024
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