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Gradient Episodic Memory for Continual Learning

Gradient Episodic Memory for Continual Learning

26 June 2017
David Lopez-Paz
MarcÁurelio Ranzato
    VLM
    CLL
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Papers citing "Gradient Episodic Memory for Continual Learning"

50 / 556 papers shown
Title
How Much Can We Forget about Data Contamination?
How Much Can We Forget about Data Contamination?
Sebastian Bordt
Suraj Srinivas
Valentyn Boreiko
U. V. Luxburg
51
1
0
04 Oct 2024
Fair Decentralized Learning
Fair Decentralized Learning
Sayan Biswas
Anne-Marie Kermarrec
Rishi Sharma
Thibaud Trinca
M. Vos
FedML
37
0
0
03 Oct 2024
Structural-Entropy-Based Sample Selection for Efficient and Effective Learning
Structural-Entropy-Based Sample Selection for Efficient and Effective Learning
Tianchi Xie
Jiangning Zhu
Guozu Ma
Minzhi Lin
Wei Chen
Weikai Yang
Shixia Liu
33
0
0
03 Oct 2024
LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning
LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning
Liangzu Peng
Juan Elenter
Joshua Agterberg
Alejandro Ribeiro
René Vidal
VLM
CLL
46
1
0
01 Oct 2024
Sequential Learning in the Dense Associative Memory
Sequential Learning in the Dense Associative Memory
Hayden McAlister
Anthony Robins
Lech Szymanski
CLL
201
1
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
21
0
0
21 Sep 2024
Few-Shot Class-Incremental Learning with Non-IID Decentralized Data
Few-Shot Class-Incremental Learning with Non-IID Decentralized Data
Cuiwei Liu
Siang Xu
Huaijun Qiu
Jing Zhang
Zhi Liu
Liang Zhao
CLL
36
0
0
18 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
75
2
0
03 Sep 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
58
0
0
19 Aug 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
44
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
80
3
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
CLL
KELM
98
1
0
24 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
VLM
CLL
43
3
0
22 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
CLL
VLM
56
0
0
18 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
56
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
Learning System Dynamics without Forgetting
Learning System Dynamics without Forgetting
Xikun Zhang
Dongjin Song
Yushan Jiang
Yixin Chen
Dacheng Tao
AI4CE
42
2
0
30 Jun 2024
The impact of model size on catastrophic forgetting in Online Continual
  Learning
The impact of model size on catastrophic forgetting in Online Continual Learning
Eunhae Lee
CLL
41
0
0
28 Jun 2024
Towards Synchronous Memorizability and Generalizability with Site-Modulated Diffusion Replay for Cross-Site Continual Segmentation
Towards Synchronous Memorizability and Generalizability with Site-Modulated Diffusion Replay for Cross-Site Continual Segmentation
Dunyuan Xu
Xi Wang
Jingyang Zhang
Pheng-Ann Heng
MedIm
CLL
113
0
0
26 Jun 2024
Jacobian Descent for Multi-Objective Optimization
Jacobian Descent for Multi-Objective Optimization
Pierre Quinton
Valérian Rey
38
3
0
23 Jun 2024
Enhancing Domain Adaptation through Prompt Gradient Alignment
Enhancing Domain Adaptation through Prompt Gradient Alignment
Hoang Phan
Lam C. Tran
Quyen Tran
Trung Le
52
0
0
13 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
41
1
0
07 Jun 2024
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning
Yibo Yang
Xiaojie Li
Zhongzhu Zhou
Shuaiwen Leon Song
Jianlong Wu
Liqiang Nie
Guohao Li
45
6
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
Adversarially Diversified Rehearsal Memory (ADRM): Mitigating Memory
  Overfitting Challenge in Continual Learning
Adversarially Diversified Rehearsal Memory (ADRM): Mitigating Memory Overfitting Challenge in Continual Learning
Hikmat Khan
Ghulam Rasool
N. Bouaynaya
AAML
28
0
0
20 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
48
1
0
20 May 2024
Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning
Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning
N. Raichur
Lucas Heublein
Tobias Feigl
A. Rügamer
Christopher Mutschler
Felix Ott
CLL
BDL
73
7
0
17 May 2024
HFT: Half Fine-Tuning for Large Language Models
HFT: Half Fine-Tuning for Large Language Models
Tingfeng Hui
Zhenyu Zhang
Shuohuan Wang
Weiran Xu
Yu Sun
Hua Wu
CLL
45
4
0
29 Apr 2024
Beyond Imitation: A Life-long Policy Learning Framework for Path
  Tracking Control of Autonomous Driving
Beyond Imitation: A Life-long Policy Learning Framework for Path Tracking Control of Autonomous Driving
Cheng Gong
Chao Lu
Zirui Li
Zhe Liu
Jianwei Gong
Xuemei Chen
43
2
0
26 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
Double Mixture: Towards Continual Event Detection from Speech
Double Mixture: Towards Continual Event Detection from Speech
Jingqi Kang
Tongtong Wu
Jinming Zhao
Guitao Wang
Yinwei Wei
Haomiao Yang
Guilin Qi
Yuan-Fang Li
Gholamreza Haffari
28
0
0
20 Apr 2024
Calibration of Continual Learning Models
Calibration of Continual Learning Models
Lanpei Li
Elia Piccoli
Andrea Cossu
Davide Bacciu
Vincenzo Lomonaco
CLL
45
2
0
11 Apr 2024
Realistic Continual Learning Approach using Pre-trained Models
Realistic Continual Learning Approach using Pre-trained Models
Nadia Nasri
Carlos Gutiérrez-Álvarez
Sergio Lafuente-Arroyo
Saturnino Maldonado-Bascón
Roberto J. López-Sastre
CLL
43
0
0
11 Apr 2024
Toward industrial use of continual learning : new metrics proposal for
  class incremental learning
Toward industrial use of continual learning : new metrics proposal for class incremental learning
Mohamed Abbas Konaté
A. Yao
T. Chateau
P. Bouges
CLL
24
0
0
10 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
48
9
0
27 Mar 2024
One-Shot Domain Incremental Learning
One-Shot Domain Incremental Learning
Yasushi Esaki
Satoshi Koide
Takuro Kutsuna
CLL
VLM
45
0
0
25 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
DAM: Dynamic Adapter Merging for Continual Video QA Learning
DAM: Dynamic Adapter Merging for Continual Video QA Learning
Feng Cheng
Ziyang Wang
Yi-Lin Sung
Yan-Bo Lin
Mohit Bansal
Gedas Bertasius
CLL
MoMe
39
10
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
Reset & Distill: A Recipe for Overcoming Negative Transfer in Continual
  Reinforcement Learning
Reset & Distill: A Recipe for Overcoming Negative Transfer in Continual Reinforcement Learning
Hongjoon Ahn
Jinu Hyeon
Youngmin Oh
Bosun Hwang
Taesup Moon
CLL
OnRL
37
2
0
08 Mar 2024
Lifelong Intelligence Beyond the Edge using Hyperdimensional Computing
Lifelong Intelligence Beyond the Edge using Hyperdimensional Computing
Xiaofan Yu
Anthony Thomas
Ivannia Gomez Moreno
Louis Gutierrez
Tajana Simunic
43
3
0
07 Mar 2024
Mitigating Catastrophic Forgetting in Large Language Models with
  Self-Synthesized Rehearsal
Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal
Jianheng Huang
Leyang Cui
Ante Wang
Chengyi Yang
Xinting Liao
Linfeng Song
Junfeng Yao
Jinsong Su
KELM
CLL
37
34
0
02 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
39
2
0
28 Feb 2024
COPR: Continual Human Preference Learning via Optimal Policy
  Regularization
COPR: Continual Human Preference Learning via Optimal Policy Regularization
Han Zhang
Lin Gui
Yu Lei
Yuanzhao Zhai
Yehong Zhang
...
Hui Wang
Yue Yu
Kam-Fai Wong
Bin Liang
Ruifeng Xu
CLL
39
4
0
22 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
30
5
0
21 Feb 2024
Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning
Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning
Zhaorui Yang
Tianyu Pang
H. Feng
Han Wang
Wei Chen
Minfeng Zhu
Qian Liu
ALM
40
37
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
InfuserKI: Enhancing Large Language Models with Knowledge Graphs via
  Infuser-Guided Knowledge Integration
InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration
Fali Wang
Runxue Bao
Suhang Wang
Wenchao Yu
Yanchi Liu
Wei Cheng
Haifeng Chen
KELM
21
8
0
18 Feb 2024
Mitigating Catastrophic Forgetting in Multi-domain Chinese Spelling
  Correction by Multi-stage Knowledge Transfer Framework
Mitigating Catastrophic Forgetting in Multi-domain Chinese Spelling Correction by Multi-stage Knowledge Transfer Framework
Peng Xing
Hai-Tao Zheng
Shirong Ma
Xinnian Liang
Haojing Huang
Yangning Li
Hai-Tao Zheng
Wenhao Jiang
Ying Shen
CLL
KELM
25
1
0
18 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
Muhammad Shafique
43
0
0
15 Feb 2024
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