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Overcoming catastrophic forgetting in neural networks
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Overcoming catastrophic forgetting in neural networks

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
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Papers citing "Overcoming catastrophic forgetting in neural networks"

50 / 3,798 papers shown
Title
L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental Learning
L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental Learning
Xiang Zhang
Run He
Jiao Chen
Di Fang
Ming Li
Ziqian Zeng
Cen Chen
Huiping Zhuang
CLL
44
0
0
01 Jun 2025
Understanding Model Reprogramming for CLIP via Decoupling Visual Prompts
Understanding Model Reprogramming for CLIP via Decoupling Visual Prompts
C. Cai
Zesheng Ye
Lei Feng
Jianzhong Qi
Feng Liu
VLM
71
1
0
01 Jun 2025
Enhancing Multimodal Continual Instruction Tuning with BranchLoRA
Enhancing Multimodal Continual Instruction Tuning with BranchLoRA
Duzhen Zhang
Yong Ren
Zhong-Zhi Li
Yahan Yu
Jiahua Dong
Chenxing Li
Zhilong Ji
Jinfeng Bai
CLL
57
1
0
31 May 2025
Probabilistic Forecasting for Building Energy Systems using Time-Series Foundation Models
Probabilistic Forecasting for Building Energy Systems using Time-Series Foundation Models
Young-Jin Park
François Germain
Jing Liu
Ye Wang
T. Koike-Akino
Gordon Wichern
Navid Azizan
C. Laughman
Ankush Chakrabarty
AI4TSAI4CE
46
0
0
31 May 2025
Flashbacks to Harmonize Stability and Plasticity in Continual Learning
Flashbacks to Harmonize Stability and Plasticity in Continual Learning
Leila Mahmoodi
Peyman Moghadam
Munawar Hayat
Christian Simon
Mehrtash Harandi
CLLVLMAI4CE
59
0
0
31 May 2025
iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection
iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection
Huahui Yi
Wei Xu
Ziyuan Qin
Xi Chen
Xiaohu Wu
Kang Li
Qicheng Lao
VLM
40
0
0
31 May 2025
Smooth Model Compression without Fine-Tuning
Smooth Model Compression without Fine-Tuning
Christina Runkel
Natacha Kuete Meli
Jovita Lukasik
A. Biguri
Carola-Bibiane Schönlieb
Michael Moeller
61
0
0
30 May 2025
Rehearsal with Auxiliary-Informed Sampling for Audio Deepfake Detection
Rehearsal with Auxiliary-Informed Sampling for Audio Deepfake Detection
F. Febrinanto
Kristen Moore
Chandra Thapa
Jiangang Ma
Vidya Saikrishna
Xiwei Xu
50
0
0
30 May 2025
Unlocking the Power of Rehearsal in Continual Learning: A Theoretical Perspective
Unlocking the Power of Rehearsal in Continual Learning: A Theoretical Perspective
Junze Deng
Qinhang Wu
Peizhong Ju
Sen Lin
Yingbin Liang
Ness B. Shroff
CLL
34
0
0
30 May 2025
RCCDA: Adaptive Model Updates in the Presence of Concept Drift under a Constrained Resource Budget
RCCDA: Adaptive Model Updates in the Presence of Concept Drift under a Constrained Resource Budget
Adam Piaseczny
Md Kamran Chowdhury Shisher
Shiqiang Wang
Christopher G. Brinton
49
0
0
30 May 2025
CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning
CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning
Jiangpeng He
Zhihao Duan
Fengqing M Zhu
CLL
33
1
0
30 May 2025
Minifinetuning: Low-Data Generation Domain Adaptation through Corrective Self-Distillation
Minifinetuning: Low-Data Generation Domain Adaptation through Corrective Self-Distillation
Peter Belcak
Greg Heinrich
Jan Kautz
Pavlo Molchanov
ALM
39
0
0
30 May 2025
REASONING GYM: Reasoning Environments for Reinforcement Learning with Verifiable Rewards
REASONING GYM: Reasoning Environments for Reinforcement Learning with Verifiable Rewards
Zafir Stojanovski
Oliver Stanley
Joe Sharratt
Richard Jones
Abdulhakeem Adefioye
Jean Kaddour
Andreas Kopf
OffRLLRM
88
1
0
30 May 2025
LADA: Scalable Label-Specific CLIP Adapter for Continual Learning
LADA: Scalable Label-Specific CLIP Adapter for Continual Learning
Mao-Lin Luo
Zi-Hao Zhou
Tong Wei
Min-Ling Zhang
VLM
68
0
0
29 May 2025
From Knowledge to Noise: CTIM-Rover and the Pitfalls of Episodic Memory in Software Engineering Agents
From Knowledge to Noise: CTIM-Rover and the Pitfalls of Episodic Memory in Software Engineering Agents
Tobias Lindenbauer
Georg Groh
Hinrich Schütze
34
0
0
29 May 2025
ROTATE: Regret-driven Open-ended Training for Ad Hoc Teamwork
ROTATE: Regret-driven Open-ended Training for Ad Hoc Teamwork
Caroline Wang
Arrasy Rahman
Jiaxun Cui
Yoonchang Sung
Peter Stone
77
0
0
29 May 2025
Frugal Incremental Generative Modeling using Variational Autoencoders
Frugal Incremental Generative Modeling using Variational Autoencoders
Victor Enescu
Hichem Sahbi
CLL
70
0
0
28 May 2025
Budget-Adaptive Adapter Tuning in Orthogonal Subspaces for Continual Learning in LLMs
Budget-Adaptive Adapter Tuning in Orthogonal Subspaces for Continual Learning in LLMs
Zhiyi Wan
Wanrou Du
Liang Li
Miao Pan
Xiaoqi Qin
CLL
45
0
0
28 May 2025
Continual Learning Beyond Experience Rehearsal and Full Model Surrogates
Continual Learning Beyond Experience Rehearsal and Full Model Surrogates
Prashant Shivaram Bhat
Laurens Niesten
Elahe Arani
Bahram Zonooz
CLL
30
0
0
28 May 2025
Versatile Cardiovascular Signal Generation with a Unified Diffusion Transformer
Versatile Cardiovascular Signal Generation with a Unified Diffusion Transformer
Zehua Chen
Yuyang Miao
L. Wang
Luyun Fan
Danilo Mandic
Jun Zhu
DiffMMedIm
60
0
0
28 May 2025
Query Drift Compensation: Enabling Compatibility in Continual Learning of Retrieval Embedding Models
Query Drift Compensation: Enabling Compatibility in Continual Learning of Retrieval Embedding Models
Dipam Goswami
Liying Wang
Bartłomiej Twardowski
Joost van de Weijer
37
0
0
27 May 2025
Information-Theoretic Complementary Prompts for Improved Continual Text Classification
Information-Theoretic Complementary Prompts for Improved Continual Text Classification
Duzhen Zhang
Yong Ren
Chenxing Li
Dong Yu
Tielin Zhang
CLLVLM
115
0
0
27 May 2025
Continual Learning on CLIP via Incremental Prompt Tuning with Intrinsic Textual Anchors
Continual Learning on CLIP via Incremental Prompt Tuning with Intrinsic Textual Anchors
Haodong Lu
Xinyu Zhang
Kristen Moore
Jason Xue
Lina Yao
Anton van den Hengel
Dong Gong
CLLVLM
71
0
0
27 May 2025
OASIS: Online Sample Selection for Continual Visual Instruction Tuning
OASIS: Online Sample Selection for Continual Visual Instruction Tuning
Minjae Lee
Minhyuk Seo
Tingyu Qu
Tinne Tuytelaars
Jonghyun Choi
VLM
38
1
0
27 May 2025
Rethinking Text-based Protein Understanding: Retrieval or LLM?
Rethinking Text-based Protein Understanding: Retrieval or LLM?
Juntong Wu
Zijing Liu
He Cao
Hao Li
Bin Feng
Zishan Shu
Ke Yu
Li Yuan
Yu-Feng Li
89
1
0
26 May 2025
FunReason: Enhancing Large Language Models' Function Calling via Self-Refinement Multiscale Loss and Automated Data Refinement
FunReason: Enhancing Large Language Models' Function Calling via Self-Refinement Multiscale Loss and Automated Data Refinement
Bingguang Hao
Maolin Wang
Zengzhuang Xu
Cunyin Peng
Yicheng Chen
Xiangyu Zhao
Jinjie Gu
Chenyi Zhuang
ReLMLRM
129
0
0
26 May 2025
Graceful Forgetting in Generative Language Models
Graceful Forgetting in Generative Language Models
Chunyang Jiang
Chi-Min Chan
Yiyang Cai
Yulong Liu
Wei Xue
Yike Guo
MoMeCLLKELM
59
0
0
26 May 2025
Regularized Personalization of Text-to-Image Diffusion Models without Distributional Drift
Regularized Personalization of Text-to-Image Diffusion Models without Distributional Drift
Gihoon Kim
Hyungjin Park
Taesup Kim
DiffMVLM
207
0
0
26 May 2025
Light distillation for Incremental Graph Convolution Collaborative Filtering
Light distillation for Incremental Graph Convolution Collaborative Filtering
Xinxin Fan
Fengran Mo
Chongxian Chen
Hayato Yamana
CLL
18
0
0
26 May 2025
A Joint Learning Framework with Feature Reconstruction and Prediction for Incomplete Satellite Image Time Series in Agricultural Semantic Segmentation
A Joint Learning Framework with Feature Reconstruction and Prediction for Incomplete Satellite Image Time Series in Agricultural Semantic Segmentation
Yuze Wang
Mariana Belgiu
Haiyang Wu
Dandan Zhong
Yangyang Cao
Chao Tao
63
0
0
25 May 2025
Exemplar-Free Continual Learning for State Space Models
Exemplar-Free Continual Learning for State Space Models
Isaac Ning Lee
Leila Mahmoodi
Trung Le
Mehrtash Harandi
CLL
96
0
0
24 May 2025
Learning without Isolation: Pathway Protection for Continual Learning
Learning without Isolation: Pathway Protection for Continual Learning
Zhikang Chen
Abudukelimu Wuerkaixi
Sen Cui
Haoxuan Li
D. Li
...
Houfang Liu
Yi Yang
Sifan Yang
Changshui Zhang
Tianling Ren
CLL
52
0
0
24 May 2025
What is the role of memorization in Continual Learning?
What is the role of memorization in Continual Learning?
Jędrzej Kozal
Jan Wasilewski
Alif Ashrafee
Bartosz Krawczyk
Michał Woźniak
49
0
0
23 May 2025
Evolving Machine Learning: A Survey
Ignacio Cabrera Martin
Subhaditya Mukherjee
Almas Baimagambetov
Joaquin Vanschoren
Nikolaos Polatidis
VLM
266
0
0
23 May 2025
ReqBrain: Task-Specific Instruction Tuning of LLMs for AI-Assisted Requirements Generation
ReqBrain: Task-Specific Instruction Tuning of LLMs for AI-Assisted Requirements Generation
Mohammad Kasra Habib
Daniel Graziotin
Stefan Wagner
194
0
0
23 May 2025
Dynamic Dual Buffer with Divide-and-Conquer Strategy for Online Continual Learning
Dynamic Dual Buffer with Divide-and-Conquer Strategy for Online Continual Learning
Congren Dai
Huichi Zhou
Jiahao Huang
Zhenxuan Zhang
Fanwen Wang
Guang Yang
Fei Ye
221
0
0
23 May 2025
Generalized Fisher-Weighted SVD: Scalable Kronecker-Factored Fisher Approximation for Compressing Large Language Models
Generalized Fisher-Weighted SVD: Scalable Kronecker-Factored Fisher Approximation for Compressing Large Language Models
Viktoriia Chekalina
Daniil Moskovskiy
Daria Cherniuk
Maxim Kurkin
Andrey Kuznetsov
Evgeny Frolov
228
0
0
23 May 2025
5G-DIL: Domain Incremental Learning with Similarity-Aware Sampling for Dynamic 5G Indoor Localization
5G-DIL: Domain Incremental Learning with Similarity-Aware Sampling for Dynamic 5G Indoor Localization
Nisha Lakshmana Raichur
Lucas Heublein
Christopher Mutschler
Felix Ott
68
0
0
23 May 2025
ExeSQL: Self-Taught Text-to-SQL Models with Execution-Driven Bootstrapping for SQL Dialects
ExeSQL: Self-Taught Text-to-SQL Models with Execution-Driven Bootstrapping for SQL Dialects
Jipeng Zhang
Haolin Yang
Kehao Miao
Ruiyuan Zhang
Renjie Pi
Jiahui Gao
Xiaofang Zhou
196
0
0
22 May 2025
ECHO-LLaMA: Efficient Caching for High-Performance LLaMA Training
ECHO-LLaMA: Efficient Caching for High-Performance LLaMA Training
Maryam Dialameh
Rezaul Karim
Hossein Rajabzadeh
Omar Mohamed Awad
Hyock Ju Kwon
Boxing Chen
Walid Ahmed
Yang Liu
108
0
0
22 May 2025
Human-like Forgetting Curves in Deep Neural Networks
Human-like Forgetting Curves in Deep Neural Networks
Dylan Kline
HAI
27
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0
22 May 2025
Accidental Misalignment: Fine-Tuning Language Models Induces Unexpected Vulnerability
Accidental Misalignment: Fine-Tuning Language Models Induces Unexpected Vulnerability
Punya Syon Pandey
Samuel Simko
Kellin Pelrine
Zhijing Jin
AAML
57
0
0
22 May 2025
Locate-then-Merge: Neuron-Level Parameter Fusion for Mitigating Catastrophic Forgetting in Multimodal LLMs
Locate-then-Merge: Neuron-Level Parameter Fusion for Mitigating Catastrophic Forgetting in Multimodal LLMs
Zeping Yu
Sophia Ananiadou
MoMeKELMCLL
113
0
0
22 May 2025
CrossRF: A Domain-Invariant Deep Learning Approach for RF Fingerprinting
CrossRF: A Domain-Invariant Deep Learning Approach for RF Fingerprinting
Fahrettin Emin Tiras
Hayriye Serra Altinoluk
46
0
0
21 May 2025
A Unified Gradient-based Framework for Task-agnostic Continual Learning-Unlearning
A Unified Gradient-based Framework for Task-agnostic Continual Learning-Unlearning
Zhehao Huang
Xinwen Cheng
Jing Zhang
Jinghao Zheng
Haoran Wang
Zhengbao He
Tao Li
Xiaolin Huang
CLL
93
1
0
21 May 2025
Laplace Sample Information: Data Informativeness Through a Bayesian Lens
Laplace Sample Information: Data Informativeness Through a Bayesian Lens
Johannes Kaiser
Kristian Schwethelm
Daniel Rueckert
Georgios Kaissis
56
0
0
21 May 2025
Joint Flashback Adaptation for Forgetting-Resistant Instruction Tuning
Joint Flashback Adaptation for Forgetting-Resistant Instruction Tuning
Yukun Zhao
Lingyong Yan
Zhenyang Li
Shuaiqiang Wang
Zhumin Chen
Zhaochun Ren
Dawei Yin
CLLKELMVLMLRM
98
0
0
21 May 2025
MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning
MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning
Linjie Li
Zhenyu Wu
Yang Ji
MoECLL
37
0
0
21 May 2025
Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing
Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing
Yang Xiao
Rohan Kumar Das
AAMLCLL
73
1
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20 May 2025
Toward Embodied AGI: A Review of Embodied AI and the Road Ahead
Toward Embodied AGI: A Review of Embodied AI and the Road Ahead
Yequan Wang
Aixin Sun
LM&RoAI4CE
139
1
0
20 May 2025

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