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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 / 3,798 papers shown
Title
ProtoGuard-guided PROPEL: Class-Aware Prototype Enhancement and Progressive Labeling for Incremental 3D Point Cloud Segmentation
ProtoGuard-guided PROPEL: Class-Aware Prototype Enhancement and Progressive Labeling for Incremental 3D Point Cloud Segmentation
Haoyang Li
Yuecong Xu
Junjie Chen
Kemi Ding
3DPCCLL
131
0
0
02 Apr 2025
Energy Weighted Learning Progress Guided Interleaved Multi-Task Learning
Energy Weighted Learning Progress Guided Interleaved Multi-Task Learning
Hanne Say
S. E. Ada
Emre Ugur
Erhan Öztop
CLL
102
0
0
01 Apr 2025
Catastrophic Forgetting in LLMs: A Comparative Analysis Across Language Tasks
Catastrophic Forgetting in LLMs: A Comparative Analysis Across Language Tasks
Naimul Haque
CLLKELMELM
98
0
0
01 Apr 2025
Think Small, Act Big: Primitive Prompt Learning for Lifelong Robot Manipulation
Think Small, Act Big: Primitive Prompt Learning for Lifelong Robot Manipulation
Yuanqi Yao
Siao Liu
Haoming Song
Delin Qu
Qizhi Chen
Yan Ding
Bin Zhao
Ziyi Wang
Xiaochen Li
Dong Wang
CLL
159
1
0
01 Apr 2025
Continual Cross-Modal Generalization
Continual Cross-Modal Generalization
Yan Xia
Hai Huang
Minghui Fang
Zhou Zhao
CLL
123
0
0
01 Apr 2025
From Colors to Classes: Emergence of Concepts in Vision Transformers
From Colors to Classes: Emergence of Concepts in Vision Transformers
Teresa Dorszewski
Lenka Tětková
Robert Jenssen
Lars Kai Hansen
Kristoffer Wickstrøm
78
3
0
31 Mar 2025
A Plasticity-Aware Method for Continual Self-Supervised Learning in Remote Sensing
A Plasticity-Aware Method for Continual Self-Supervised Learning in Remote Sensing
Lars Möllenbrok
Behnood Rasti
Begüm Demir
CLL
98
0
0
31 Mar 2025
MetaCLBench: Meta Continual Learning Benchmark on Resource-Constrained Edge Devices
MetaCLBench: Meta Continual Learning Benchmark on Resource-Constrained Edge Devices
Sijia Li
Young D. Kwon
Lik-Hang Lee
Pan Hui
114
0
0
31 Mar 2025
Language Guided Concept Bottleneck Models for Interpretable Continual Learning
Language Guided Concept Bottleneck Models for Interpretable Continual Learning
Lu Yu
Haoyu Han
Zhe Tao
Hantao Yao
Changsheng Xu
CLL
126
1
0
30 Mar 2025
VLM-C4L: Continual Core Dataset Learning with Corner Case Optimization via Vision-Language Models for Autonomous Driving
VLM-C4L: Continual Core Dataset Learning with Corner Case Optimization via Vision-Language Models for Autonomous Driving
Haibo Hu
Jiacheng Zuo
Yang Lou
Yufei Cui
Jianping Wang
Nan Guan
Jin Wang
Yung-Hui Li
Chun Jason Xue
VLM
124
1
0
29 Mar 2025
FIESTA: Fisher Information-based Efficient Selective Test-time Adaptation
FIESTA: Fisher Information-based Efficient Selective Test-time Adaptation
Mohammadmahdi Honarmand
O. Mutlu
Parnian Azizian
Saimourya Surabhi
Dennis Paul Wall
TTA
132
0
0
29 Mar 2025
SUV: Scalable Large Language Model Copyright Compliance with Regularized Selective Unlearning
SUV: Scalable Large Language Model Copyright Compliance with Regularized Selective Unlearning
Tianyang Xu
Xiaoze Liu
Feijie Wu
Xiaoqian Wang
Jing Gao
MU
165
1
0
29 Mar 2025
A Proposal for Networks Capable of Continual Learning
A Proposal for Networks Capable of Continual Learning
Zeki Doruk Erden
Boi Faltings
CLL
120
0
0
28 Mar 2025
Efficient Continual Learning through Frequency Decomposition and Integration
Efficient Continual Learning through Frequency Decomposition and Integration
Ruiqi Liu
Boyu Diao
Libo Huang
Hangda Liu
Chuanguang Yang
Zhulin An
Yongjun Xu
CLL
75
1
0
28 Mar 2025
Generalization Bias in Large Language Model Summarization of Scientific Research
Generalization Bias in Large Language Model Summarization of Scientific Research
Uwe Peters
Benjamin Chin-Yee
ELM
108
2
0
28 Mar 2025
How do language models learn facts? Dynamics, curricula and hallucinations
How do language models learn facts? Dynamics, curricula and hallucinations
Nicolas Zucchet
J. Bornschein
Stephanie C. Y. Chan
Andrew Kyle Lampinen
Razvan Pascanu
Soham De
KELMHILMLRM
172
7
1
27 Mar 2025
KAC: Kolmogorov-Arnold Classifier for Continual Learning
KAC: Kolmogorov-Arnold Classifier for Continual Learning
Yusong Hu
Zichen Liang
Fei Yang
Qibin Hou
Xialei Liu
Ming-Ming Cheng
CLL
133
1
0
27 Mar 2025
Stochastic Engrams for Efficient Continual Learning with Binarized Neural Networks
Stochastic Engrams for Efficient Continual Learning with Binarized Neural Networks
Isabelle Aguilar
Luis Fernando Herbozo Contreras
Omid Kavehei
123
1
0
27 Mar 2025
Learn by Reasoning: Analogical Weight Generation for Few-Shot Class-Incremental Learning
Learn by Reasoning: Analogical Weight Generation for Few-Shot Class-Incremental Learning
Jizhou Han
Chenhao Ding
Yuhang He
Songlin Dong
Qiang Wang
Xinyuan Gao
Yihong Gong
CLL
105
0
0
27 Mar 2025
LLaVA-CMoE: Towards Continual Mixture of Experts for Large Vision-Language Models
LLaVA-CMoE: Towards Continual Mixture of Experts for Large Vision-Language Models
Hengyuan Zhao
Ziqin Wang
Qixin Sun
Kaiyou Song
Yilin Li
Xiaolin Hu
Qingpei Guo
Si Liu
KELMCLLMoE
158
1
0
27 Mar 2025
ProtoBERT-LoRA: Parameter-Efficient Prototypical Finetuning for Immunotherapy Study Identification
ProtoBERT-LoRA: Parameter-Efficient Prototypical Finetuning for Immunotherapy Study Identification
Shijia Zhang
Xiyu Ding
Kai Ding
Jacob Zhang
Kevin Galinsky
Mengrui Wang
Ryan P. Mayers
Zheyu Wang
Hadi Kharrazi
107
0
0
26 Mar 2025
Ancestral Mamba: Enhancing Selective Discriminant Space Model with Online Visual Prototype Learning for Efficient and Robust Discriminant Approach
Ancestral Mamba: Enhancing Selective Discriminant Space Model with Online Visual Prototype Learning for Efficient and Robust Discriminant Approach
Jiahao Qin
Feng Liu
Lu Zong
Mamba
108
0
0
26 Mar 2025
Incremental Object Keypoint Learning
Incremental Object Keypoint Learning
Mingfu Liang
Jiahuan Zhou
Xu Zou
Ying Wu
CLL
127
0
0
26 Mar 2025
Continual learning via probabilistic exchangeable sequence modelling
Continual learning via probabilistic exchangeable sequence modelling
Hanwen Xing
Christopher Yau
CLLBDL
143
0
0
26 Mar 2025
IAP: Improving Continual Learning of Vision-Language Models via Instance-Aware Prompting
IAP: Improving Continual Learning of Vision-Language Models via Instance-Aware Prompting
Hao Fu
Hanbin Zhao
Jiahua Dong
Chao Zhang
Chao Zhang
Hui Qian
CLLVLM
149
2
0
26 Mar 2025
Experience Replay Addresses Loss of Plasticity in Continual Learning
Experience Replay Addresses Loss of Plasticity in Continual Learning
Jiuqi Wang
Rohan Chandra
Shangtong Zhang
CLLKELM
168
0
0
25 Mar 2025
Geometric Meta-Learning via Coupled Ricci Flow: Unifying Knowledge Representation and Quantum Entanglement
Geometric Meta-Learning via Coupled Ricci Flow: Unifying Knowledge Representation and Quantum Entanglement
Ming Lei
Christophe Baehr
AI4CE
68
0
0
25 Mar 2025
Continual Learning With Quasi-Newton Methods
Continual Learning With Quasi-Newton Methods
Steven Vander Eeckt
Hugo Van hamme
CLLBDL
135
0
0
25 Mar 2025
Adaptive Unimodal Regulation for Balanced Multimodal Information Acquisition
Adaptive Unimodal Regulation for Balanced Multimodal Information Acquisition
Chengxiang Huang
Yake Wei
Zequn Yang
D. Hu
104
2
0
24 Mar 2025
Parental Guidance: Efficient Lifelong Learning through Evolutionary Distillation
Parental Guidance: Efficient Lifelong Learning through Evolutionary Distillation
Octi Zhang
Quanquan Peng
Rosario Scalise
Bryon Boots
121
0
0
24 Mar 2025
Knowledge Graph Enhanced Generative Multi-modal Models for Class-Incremental Learning
Knowledge Graph Enhanced Generative Multi-modal Models for Class-Incremental Learning
Xusheng Cao
Haori Lu
Linlan Huang
Fei Yang
Xialei Liu
Ming-Ming Cheng
CLLKELM
109
0
0
24 Mar 2025
Global Convergence of Continual Learning on Non-IID Data
Global Convergence of Continual Learning on Non-IID Data
Fei Zhu
Yujing Liu
Wenzhuo Liu
Zhaoxiang Zhang
91
0
0
24 Mar 2025
Trade-offs in Large Reasoning Models: An Empirical Analysis of Deliberative and Adaptive Reasoning over Foundational Capabilities
Trade-offs in Large Reasoning Models: An Empirical Analysis of Deliberative and Adaptive Reasoning over Foundational Capabilities
Weixiang Zhao
Xingyu Sui
Jiahe Guo
Yulin Hu
Yang Deng
Yanyan Zhao
Bing Qin
Wanxiang Che
Tat-Seng Chua
Ting Liu
ELMLRM
132
9
0
23 Mar 2025
Feature Learning beyond the Lazy-Rich Dichotomy: Insights from Representational Geometry
Feature Learning beyond the Lazy-Rich Dichotomy: Insights from Representational Geometry
Chi-Ning Chou
Hang Le
Yichen Wang
SueYeon Chung
95
0
0
23 Mar 2025
DualCP: Rehearsal-Free Domain-Incremental Learning via Dual-Level Concept Prototype
DualCP: Rehearsal-Free Domain-Incremental Learning via Dual-Level Concept Prototype
Qiang Wang
Yuhang He
Songlin Dong
Xiang Song
Jizhou Han
Haoyu Luo
Yihong Gong
CLL
137
0
0
23 Mar 2025
Staying Alive: Online Neural Network Maintenance and Systemic Drift
Staying Alive: Online Neural Network Maintenance and Systemic Drift
Joshua Edward Hammond
Tyler Soderstrom
Brian A. Korgel
Michael Baldea
77
0
0
22 Mar 2025
Reducing Class-wise Confusion for Incremental Learning with Disentangled Manifolds
Reducing Class-wise Confusion for Incremental Learning with Disentangled Manifolds
Huitong Chen
Yu Wang
Yan Fan
Guosong Jiang
Q. Hu
CLL
79
0
0
22 Mar 2025
Restoring Forgotten Knowledge in Non-Exemplar Class Incremental Learning through Test-Time Semantic Evolution
Restoring Forgotten Knowledge in Non-Exemplar Class Incremental Learning through Test-Time Semantic Evolution
Haori Lu
Xusheng Cao
Linlan Huang
Enguang Wang
Fei Yang
Xialei Liu
CLL
92
0
0
21 Mar 2025
Replay4NCL: An Efficient Memory Replay-based Methodology for Neuromorphic Continual Learning in Embedded AI Systems
Replay4NCL: An Efficient Memory Replay-based Methodology for Neuromorphic Continual Learning in Embedded AI Systems
M. Minhas
Rachmad Vidya Wicaksana Putra
Falah R. Awwad
Osman Hasan
Mohamed Bennai
85
1
0
21 Mar 2025
LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models
LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models
Jian Liang
Wenke Huang
Guancheng Wan
Qu Yang
Mang Ye
MoMeCLLAI4CE
130
5
0
21 Mar 2025
Towards Automatic Continual Learning: A Self-Adaptive Framework for Continual Instruction Tuning
Towards Automatic Continual Learning: A Self-Adaptive Framework for Continual Instruction Tuning
Peiyi Lin
Fukai Zhang
Kai Niu
Hao Fu
CLL
153
0
0
20 Mar 2025
Continual Multimodal Contrastive Learning
Continual Multimodal Contrastive Learning
Xiaohao Liu
Xiaobo Xia
See-Kiong Ng
Tat-Seng Chua
CLL
259
2
0
19 Mar 2025
DCA: Dividing and Conquering Amnesia in Incremental Object Detection
DCA: Dividing and Conquering Amnesia in Incremental Object Detection
Aoting Zhang
Dongbao Yang
Chang-Shu Liu
Xiaopeng Hong
Miao Shang
Yu Zhou
CLL
112
0
0
19 Mar 2025
H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection
H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection
Yuhang Liu
Wenjie Zhao
Yunhui Guo
OODD
109
1
0
19 Mar 2025
Optimized 3D Gaussian Splatting using Coarse-to-Fine Image Frequency Modulation
Optimized 3D Gaussian Splatting using Coarse-to-Fine Image Frequency Modulation
Umar Farooq
Jean-Yves Guillemaut
Adrian Hilton
M. Volino
3DGS
115
0
0
18 Mar 2025
FeNeC: Enhancing Continual Learning via Feature Clustering with Neighbor- or Logit-Based Classification
FeNeC: Enhancing Continual Learning via Feature Clustering with Neighbor- or Logit-Based Classification
Kamil Książek
Hubert Jastrzębski
Bartosz Trojan
Krzysztof Pniaczek
Michał Karp
Jacek Tabor
CLL
251
0
0
18 Mar 2025
Federated Continual Instruction Tuning
Federated Continual Instruction Tuning
Haiyang Guo
Fanhu Zeng
Fei Zhu
Wenzhuo Liu
Da-Han Wang
Jian Xu
Xu-Yao Zhang
Cheng-Lin Liu
CLLFedML
195
2
0
17 Mar 2025
Lifelong Reinforcement Learning with Similarity-Driven Weighting by Large Models
Lifelong Reinforcement Learning with Similarity-Driven Weighting by Large Models
Zhiyi Huang
Xiaohan Shan
Jianmin Li
CLLOffRL
81
0
0
17 Mar 2025
ProtoDepth: Unsupervised Continual Depth Completion with Prototypes
ProtoDepth: Unsupervised Continual Depth Completion with Prototypes
Patrick Rim
Hyoungseob Park
Xien Chen
Ziyao Zeng
Younjoon Chung
Alex Wong
CLLMDE
142
1
0
17 Mar 2025
HiDe-LLaVA: Hierarchical Decoupling for Continual Instruction Tuning of Multimodal Large Language Model
HiDe-LLaVA: Hierarchical Decoupling for Continual Instruction Tuning of Multimodal Large Language Model
Haiyang Guo
Fanhu Zeng
Ziwei Xiang
Fei Zhu
Da-Han Wang
Xu-Yao Zhang
Cheng-Lin Liu
141
3
0
17 Mar 2025
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