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Flattening Sharpness for Dynamic Gradient Projection Memory Benefits
  Continual Learning

Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning

9 October 2021
Danruo Deng
Guangyong Chen
Jianye Hao
Qiong Wang
Pheng-Ann Heng
    CLL
    AAML
ArXivPDFHTML

Papers citing "Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning"

14 / 14 papers shown
Title
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
58
0
0
28 Apr 2025
Incrementally Learning Multiple Diverse Data Domains via Multi-Source Dynamic Expansion Model
Incrementally Learning Multiple Diverse Data Domains via Multi-Source Dynamic Expansion Model
RunQing Wu
Fei Ye
QiHe Liu
Guoxi Huang
Jinyu Guo
Rongyao Hu
CLL
172
0
0
15 Jan 2025
Dynamic Prototype Rehearsal for Continual Learning in ECG Arrhythmia Detection
Dynamic Prototype Rehearsal for Continual Learning in ECG Arrhythmia Detection
Sana Rahmani
Reetam Chatterjee
Ali Etemad
J. Hashemi
36
0
0
13 Jan 2025
Dual Low-Rank Adaptation for Continual Learning with Pre-Trained Models
Dual Low-Rank Adaptation for Continual Learning with Pre-Trained Models
Huancheng Chen
Jingtao Li
Nidham Gazagnadou
Weiming Zhuang
Chen Chen
Lingjuan Lyu
VLM
CLL
47
1
0
01 Nov 2024
Doubly Perturbed Task Free Continual Learning
Doubly Perturbed Task Free Continual Learning
Byung Hyun Lee
Min-hwan Oh
Se Young Chun
16
3
0
20 Dec 2023
Continual Learning through Networks Splitting and Merging with
  Dreaming-Meta-Weighted Model Fusion
Continual Learning through Networks Splitting and Merging with Dreaming-Meta-Weighted Model Fusion
Yi Sun
Xin Xu
Jian Li
Guanglei Xie
Yifei Shi
Qiang Fang
CLL
MoMe
26
1
0
12 Dec 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
36
7
0
08 Nov 2023
A Unified Approach to Domain Incremental Learning with Memory: Theory
  and Algorithm
A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm
Haizhou Shi
Hao Wang
CLL
34
18
0
18 Oct 2023
Restricted Orthogonal Gradient Projection for Continual Learning
Restricted Orthogonal Gradient Projection for Continual Learning
Zeyuan Yang
Zonghan Yang
Peng Li
Yang Liu
CLL
24
4
0
28 Jan 2023
G-MAP: General Memory-Augmented Pre-trained Language Model for Domain
  Tasks
G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks
Zhongwei Wan
Yichun Yin
Wei Zhang
Jiaxin Shi
Lifeng Shang
Guangyong Chen
Xin Jiang
Qun Liu
VLM
CLL
28
16
0
07 Dec 2022
Progressive Learning without Forgetting
Progressive Learning without Forgetting
Tao Feng
Hangjie Yuan
Mang Wang
Ziyuan Huang
Ang Bian
Jianzhou Zhang
CLL
KELM
42
4
0
28 Nov 2022
Incremental Task Learning with Incremental Rank Updates
Incremental Task Learning with Incremental Rank Updates
Rakib Hyder
Ken Shao
Boyu Hou
P. Markopoulos
Ashley Prater-Bennette
M. Salman Asif
CLL
16
13
0
19 Jul 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on
  Continual Learning and Functional Composition
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition
Jorge Armando Mendez Mendez
Eric Eaton
KELM
CLL
29
27
0
15 Jul 2022
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam
Mohammad Emtiyaz Khan
Didrik Nielsen
Voot Tangkaratt
Wu Lin
Y. Gal
Akash Srivastava
ODL
74
266
0
13 Jun 2018
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