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2010.11635
Cited By
Continual Learning in Low-rank Orthogonal Subspaces
22 October 2020
Arslan Chaudhry
Naeemullah Khan
P. Dokania
Philip H. S. Torr
CLL
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Papers citing
"Continual Learning in Low-rank Orthogonal Subspaces"
16 / 16 papers shown
Title
Mitigating Catastrophic Forgetting in the Incremental Learning of Medical Images
Sara Yavari
Jacob Furst
CLL
53
0
0
28 Apr 2025
Continual Learning With Quasi-Newton Methods
Steven Vander Eeckt
Hugo Van hamme
CLL
BDL
66
0
0
25 Mar 2025
Orthogonal Calibration for Asynchronous Federated Learning
Jiayun Zhang
Shuheng Li
Haiyu Huang
Xiaofan Yu
Rajesh K. Gupta
Jingbo Shang
FedML
58
0
0
21 Feb 2025
Steinmetz Neural Networks for Complex-Valued Data
Shyam Venkatasubramanian
Ali Pezeshki
Vahid Tarokh
118
0
0
17 Feb 2025
CENSOR: Defense Against Gradient Inversion via Orthogonal Subspace Bayesian Sampling
Kaiyuan Zhang
Siyuan Cheng
Guangyu Shen
Bruno Ribeiro
Shengwei An
Pin-Yu Chen
X. Zhang
Ninghui Li
90
0
0
28 Jan 2025
SLIM: Let LLM Learn More and Forget Less with Soft LoRA and Identity Mixture
Jiayi Han
Liang Du
Hongwei Du
Xiangguo Zhou
Yiwen Wu
Weibo Zheng
Donghong Han
CLL
MoMe
MoE
38
2
0
10 Oct 2024
AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models
Junfeng Fang
Houcheng Jiang
Kun Wang
Yunshan Ma
Shi Jie
Xiangnan He
Tat-Seng Chua
Tat-seng Chua
KELM
35
33
0
03 Oct 2024
Breaking Neural Network Scaling Laws with Modularity
Akhilan Boopathy
Sunshine Jiang
William Yue
Jaedong Hwang
Abhiram Iyer
Ila Fiete
OOD
34
2
0
09 Sep 2024
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
Jiawei Zhao
Zhenyu (Allen) Zhang
Beidi Chen
Zhangyang Wang
A. Anandkumar
Yuandong Tian
41
173
0
06 Mar 2024
Clustering-based Domain-Incremental Learning
Christiaan Lamers
René Vidal
A. Belbachir
N. V. Stein
Thomas Baeck
Paris Giampouras
CLL
OOD
19
10
0
21 Sep 2023
When Deep Learning Meets Polyhedral Theory: A Survey
Joey Huchette
Gonzalo Muñoz
Thiago Serra
Calvin Tsay
AI4CE
91
32
0
29 Apr 2023
A Theoretical Study on Solving Continual Learning
Gyuhak Kim
Changnan Xiao
Tatsuya Konishi
Zixuan Ke
Bin Liu
CLL
19
70
0
04 Nov 2022
A Multi-Head Model for Continual Learning via Out-of-Distribution Replay
Gyuhak Kim
Zixuan Ke
Bin Liu
VLM
CLL
OODD
15
29
0
20 Aug 2022
Memory Bounds for Continual Learning
Xi Chen
Christos H. Papadimitriou
Binghui Peng
CLL
LRM
20
22
0
22 Apr 2022
Modelling continual learning in humans with Hebbian context gating and exponentially decaying task signals
Timo Flesch
D. G. Nagy
Andrew M. Saxe
Christopher Summerfield
18
34
0
22 Mar 2022
Generative Kernel Continual learning
Mohammad Mahdi Derakhshani
Xiantong Zhen
Ling Shao
Cees G. M. Snoek
BDL
VLM
33
0
0
26 Dec 2021
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