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Overcoming catastrophic forgetting in neural networks
v1v2 (latest)

Overcoming catastrophic forgetting in neural networks

2 December 2016
J. Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
J. Veness
Guillaume Desjardins
Andrei A. Rusu
Kieran Milan
John Quan
Tiago Ramalho
A. Grabska-Barwinska
Demis Hassabis
Claudia Clopath
D. Kumaran
R. Hadsell
    CLL
ArXiv (abs)PDFHTML

Papers citing "Overcoming catastrophic forgetting in neural networks"

50 / 3,800 papers shown
Title
Exploring Open-world Continual Learning with Knowns-Unknowns Knowledge Transfer
Exploring Open-world Continual Learning with Knowns-Unknowns Knowledge Transfer
Yujie Li
Guannan Lai
Xin Yang
Yongbin Li
Marcello Bonsangue
Tianrui Li
CLLVLM
169
0
0
27 Feb 2025
Order-Robust Class Incremental Learning: Graph-Driven Dynamic Similarity Grouping
Order-Robust Class Incremental Learning: Graph-Driven Dynamic Similarity Grouping
Guannan Lai
Yujie Li
Xiangkun Wang
Jing Zhang
Tianrui Li
Xin Yang
CLL
134
3
0
27 Feb 2025
One-for-More: Continual Diffusion Model for Anomaly Detection
One-for-More: Continual Diffusion Model for Anomaly Detection
Xiaofan Li
Xin Tan
Zhuo Chen
Zhizhong Zhang
Ruixin Zhang
...
Guanna Jiang
Yulong Chen
Yanyun Qu
Lizhuang Ma
Yuan Xie
DiffM
158
2
0
27 Feb 2025
Incremental Learning with Repetition via Pseudo-Feature Projection
Incremental Learning with Repetition via Pseudo-Feature Projection
Benedikt Tscheschner
Eduardo Veas
Marc Masana
CLL
85
0
0
27 Feb 2025
From Offline to Online Memory-Free and Task-Free Continual Learning via Fine-Grained Hypergradients
From Offline to Online Memory-Free and Task-Free Continual Learning via Fine-Grained Hypergradients
Nicolas Michel
Maorong Wang
Jiangpeng He
Toshihiko Yamasaki
CLL
95
0
0
26 Feb 2025
C-LoRA: Continual Low-Rank Adaptation for Pre-trained Models
C-LoRA: Continual Low-Rank Adaptation for Pre-trained Models
Xin Zhang
Liang Bai
Xian Yang
Jiye Liang
CLL
164
1
0
25 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 Learning
Zelin Tao
Hao Deng
Mingqing Liu
Lijun Zhang
Shengjie Zhao
CLL
155
0
0
25 Feb 2025
SECURA: Sigmoid-Enhanced CUR Decomposition with Uninterrupted Retention and Low-Rank Adaptation in Large Language Models
SECURA: Sigmoid-Enhanced CUR Decomposition with Uninterrupted Retention and Low-Rank Adaptation in Large Language Models
Yuxuan Zhang
CLLALM
199
1
0
25 Feb 2025
Feature Aggregation with Latent Generative Replay for Federated Continual Learning of Socially Appropriate Robot Behaviours
Feature Aggregation with Latent Generative Replay for Federated Continual Learning of Socially Appropriate Robot Behaviours
Nikhil Churamani
Saksham Checker
Fethiye Irmak Dogan
Hao-Tien Lewis Chiang
Hatice Gunes
FedML
167
1
0
24 Feb 2025
CLIMB-3D: Continual Learning for Imbalanced 3D Instance Segmentation
CLIMB-3D: Continual Learning for Imbalanced 3D Instance Segmentation
Vishal Thengane
Jean Lahoud
Hisham Cholakkal
Rao Muhammad Anwer
L. Yin
Xiatian Zhu
Salman Khan
CLL
501
0
0
24 Feb 2025
Recurrent Knowledge Identification and Fusion for Language Model Continual Learning
Recurrent Knowledge Identification and Fusion for Language Model Continual Learning
Yujie Feng
Xujia Wang
Zexin Lu
Shenghong Fu
Guangyuan Shi
Yongxin Xu
Yasha Wang
Philip S. Yu
Xu Chu
Xiao-Ming Wu
CLLKELM
130
1
0
22 Feb 2025
Beyond Fixed Variables: Expanding-variate Time Series Forecasting via Flat Scheme and Spatio-temporal Focal Learning
Beyond Fixed Variables: Expanding-variate Time Series Forecasting via Flat Scheme and Spatio-temporal Focal Learning
Minbo Ma
Kai Tang
Huan Li
Fei Teng
Dalin Zhang
Tianrui Li
AI4TS
107
0
0
21 Feb 2025
Eliminating Backdoors in Neural Code Models for Secure Code Understanding
Eliminating Backdoors in Neural Code Models for Secure Code Understanding
Weisong Sun
Yuchen Chen
Chunrong Fang
Yebo Feng
Yuan Xiao
An Guo
Quanjun Zhang
Yang Liu
Baowen Xu
Zhenyu Chen
AAML
164
1
0
21 Feb 2025
CSTRL: Context-Driven Sequential Transfer Learning for Abstractive Radiology Report Summarization
CSTRL: Context-Driven Sequential Transfer Learning for Abstractive Radiology Report Summarization
Mst. Fahmida Sultana Naznin
Adnan Ibney Faruq
Mostafa Rifat Tazwar
Md Jobayer
Md. Mehedi Hasan Shawon
Md Rakibul Hasan
MedIm
72
0
0
21 Feb 2025
Data Attribution for Text-to-Image Models by Unlearning Synthesized Images
Data Attribution for Text-to-Image Models by Unlearning Synthesized Images
Sheng-Yu Wang
Aaron Hertzmann
Alexei A. Efros
Jun-Yan Zhu
Richard Zhang
TDI
214
3
0
21 Feb 2025
Revealing and Mitigating Over-Attention in Knowledge Editing
Revealing and Mitigating Over-Attention in Knowledge Editing
Pinzheng Wang
Zecheng Tang
Keyan Zhou
Junlin Li
Qiaoming Zhu
Hao Fei
KELM
189
3
0
21 Feb 2025
On the Design of Safe Continual RL Methods for Control of Nonlinear Systems
Austin Coursey
Marcos Quiñones-Grueiro
Gautam Biswas
142
0
0
21 Feb 2025
Theory on Mixture-of-Experts in Continual Learning
Theory on Mixture-of-Experts in Continual Learning
Hongbo Li
Sen-Fon Lin
Lingjie Duan
Yingbin Liang
Ness B. Shroff
MoEMoMeCLL
287
17
0
20 Feb 2025
Continually Learning Structured Visual Representations via Network Refinement with Rerelation
Continually Learning Structured Visual Representations via Network Refinement with Rerelation
Zeki Doruk Erden
Boi Faltings
CLL
133
2
0
20 Feb 2025
ConSense: Continually Sensing Human Activity with WiFi via Growing and Picking
ConSense: Continually Sensing Human Activity with WiFi via Growing and Picking
Rong Li
Tao Deng
Siwei Feng
Mingjie Sun
Juncheng Jia
CLL
77
1
0
18 Feb 2025
Lightweight Online Adaption for Time Series Foundation Model Forecasts
Lightweight Online Adaption for Time Series Foundation Model Forecasts
Thomas L. Lee
William Toner
Rajkarn Singh
Artjom Joosem
Martin Asenov
AI4TS
131
1
0
18 Feb 2025
Cross-Domain Continual Learning for Edge Intelligence in Wireless ISAC Networks
Cross-Domain Continual Learning for Edge Intelligence in Wireless ISAC Networks
Jingzhi Hu
Xin Li
Zhou Su
Jun Luo
187
0
0
18 Feb 2025
Achieving Upper Bound Accuracy of Joint Training in Continual Learning
Achieving Upper Bound Accuracy of Joint Training in Continual Learning
Saleh Momeni
Bing Liu
CLL
177
1
0
17 Feb 2025
On the Computation of the Fisher Information in Continual Learning
On the Computation of the Fisher Information in Continual Learning
Gido M. van de Ven
FedML
137
2
0
17 Feb 2025
Neural Networks Remember More: The Power of Parameter Isolation and Combination
Neural Networks Remember More: The Power of Parameter Isolation and Combination
Biqing Zeng
Zehan Li
Aladdin Ayesh
CLLKELM
75
0
0
16 Feb 2025
Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning
Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning
Gangwei Jiang
Caigao Jiang
Zhaoyi Li
Siqiao Xue
Jun-ping Zhou
Linqi Song
Defu Lian
Yin Wei
CLLMU
178
2
0
16 Feb 2025
Ten Challenging Problems in Federated Foundation Models
Ten Challenging Problems in Federated Foundation Models
Tao Fan
Hanlin Gu
Xuemei Cao
Chee Seng Chan
Qian Chen
...
Yu Zhang
Xiaojin Zhang
Zhenzhe Zheng
Lixin Fan
Qiang Yang
FedML
182
8
0
14 Feb 2025
AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset
AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset
Ebrahim Farahmand
Reza Rahimi Azghan
Nooshin Taheri Chatrudi
Eric Kim
Gautham Krishna Gudur
Edison Thomaz
Giulia Pedrielli
Pavan Turaga
Hassan Ghasemzadeh
193
3
0
14 Feb 2025
Analysis of Overparameterization in Continual Learning under a Linear Model
Analysis of Overparameterization in Continual Learning under a Linear Model
Daniel Goldfarb
Paul Hand
CLL
106
0
0
11 Feb 2025
Prompt-Driven Continual Graph Learning
Prompt-Driven Continual Graph Learning
Qi Wang
Tianfei Zhou
Ye Yuan
Rui Mao
CLL
149
0
0
10 Feb 2025
Position: Continual Learning Benefits from An Evolving Population over An Unified Model
Aojun Lu
Junchao Ke
Chunhui Ding
Jiahao Fan
Yanan Sun
CLL
121
0
0
10 Feb 2025
Skill Expansion and Composition in Parameter Space
Skill Expansion and Composition in Parameter Space
Tenglong Liu
Junjie Li
Yinan Zheng
Haoyi Niu
Yixing Lan
Xin Xu
Xianyuan Zhan
135
4
0
09 Feb 2025
Demystifying Catastrophic Forgetting in Two-Stage Incremental Object Detector
Demystifying Catastrophic Forgetting in Two-Stage Incremental Object Detector
Qirui Wu
Shizhou Zhang
De Cheng
Yinghui Xing
Di Xu
Peng Wang
Yanning Zhang
ObjD
282
0
0
08 Feb 2025
Optimal Subspace Inference for the Laplace Approximation of Bayesian Neural Networks
Optimal Subspace Inference for the Laplace Approximation of Bayesian Neural Networks
Josua Faller
Jörg Martin
BDL
173
0
0
04 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
110
0
0
03 Feb 2025
Activation by Interval-wise Dropout: A Simple Way to Prevent Neural Networks from Plasticity Loss
Activation by Interval-wise Dropout: A Simple Way to Prevent Neural Networks from Plasticity Loss
Sangyeon Park
Isaac Han
Seungwon Oh
Kyung-Joong Kim
135
2
0
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HuViDPO:Enhancing Video Generation through Direct Preference Optimization for Human-Centric Alignment
HuViDPO:Enhancing Video Generation through Direct Preference Optimization for Human-Centric Alignment
Lifan Jiang
Boxi Wu
Jiahui Zhang
Xiaotong Guan
Shuang Chen
VGen
116
1
0
02 Feb 2025
DesCLIP: Robust Continual Adaptation via General Attribute Descriptions for Pretrained Vision-Language Models
DesCLIP: Robust Continual Adaptation via General Attribute Descriptions for Pretrained Vision-Language Models
Chiyuan He
Zihuan Qiu
Fanman Meng
Linfeng Xu
Qi Wu
Haoyang Li
VLMCLLKELM
163
0
0
02 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
89
2
0
02 Feb 2025
Iterative Feature Space Optimization through Incremental Adaptive Evaluation
Yanping Wu
Yanyong Huang
Zhengzhang Chen
Zijun Yao
Yanjie Fu
Kunpeng Liu
Xiao Luo
Dongjie Wang
66
0
0
28 Jan 2025
Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer
Hu Hu
Sabato Marco Siniscalchi
Chao-Han Huck Yang
Chin-Hui Lee
128
0
0
28 Jan 2025
Multiple Queries with Multiple Keys: A Precise Prompt Matching Paradigm for Prompt-based Continual Learning
Multiple Queries with Multiple Keys: A Precise Prompt Matching Paradigm for Prompt-based Continual Learning
Dunwei Tu
Huiyu Yi
Yanjie Wang
Baile Xu
Jian Zhao
Furao Shen
CLL
200
0
0
28 Jan 2025
Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting
Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting
Milad Khademi Nori
Il-Min Kim
Guanghui
CLL
183
2
0
26 Jan 2025
Understanding and Mitigating Gender Bias in LLMs via Interpretable Neuron Editing
Understanding and Mitigating Gender Bias in LLMs via Interpretable Neuron Editing
Zeping Yu
Sophia Ananiadou
KELM
133
3
0
24 Jan 2025
How to Alleviate Catastrophic Forgetting in LLMs Finetuning? Hierarchical Layer-Wise and Element-Wise Regularization
How to Alleviate Catastrophic Forgetting in LLMs Finetuning? Hierarchical Layer-Wise and Element-Wise Regularization
Shangwen Wang
Hao Xu
Jun Ma
Huijun Liu
Long Peng
Qian Wan
Xiaodong Liu
Jie Yu
KELMCLLALM
184
0
0
23 Jan 2025
A margin-based replacement for cross-entropy loss
A margin-based replacement for cross-entropy loss
Michael W. Spratling
Heiko H. Schütt
160
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21 Jan 2025
Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates
Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates
Kaifeng Lyu
Haoyu Zhao
Xinran Gu
Dingli Yu
Anirudh Goyal
Sanjeev Arora
ALM
133
59
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20 Jan 2025
IOR: Inversed Objects Replay for Incremental Object Detection
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Zijia An
Boyu Diao
Libo Huang
Ruiqi Liu
Zhulin An
Yongjun Xu
97
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CLOFAI: A Dataset of Real And Fake Image Classification Tasks for Continual Learning
CLOFAI: A Dataset of Real And Fake Image Classification Tasks for Continual Learning
William Doherty
Anton Lee
Heitor Murilo Gomes
CLL
121
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Transfer Learning Strategies for Pathological Foundation Models: A Systematic Evaluation in Brain Tumor Classification
Transfer Learning Strategies for Pathological Foundation Models: A Systematic Evaluation in Brain Tumor Classification
Ken Enda
Yoshitaka Oda
Zen-ichi Tanei
Wang Lei
Masumi Tsuda
...
Shinya Tanaka
Takahiro Ogawa
Wang Lei
Masumi Tsuda
Shinya Tanaka
163
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19 Jan 2025
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