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Overcoming catastrophic forgetting in neural networks

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
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Papers citing "Overcoming catastrophic forgetting in neural networks"

50 / 3,693 papers shown
Title
Memorization and Knowledge Injection in Gated LLMs
Memorization and Knowledge Injection in Gated LLMs
Xu Pan
Ely Hahami
Zechen Zhang
H. Sompolinsky
KELM
CLL
RALM
108
1
0
30 Apr 2025
Adapting In-Domain Few-Shot Segmentation to New Domains without Retraining
Adapting In-Domain Few-Shot Segmentation to New Domains without Retraining
Qi Fan
Kaiqi Liu
Nian Liu
Hisham Cholakkal
Rao Muhammad Anwer
Wenbin Li
Yang Gao
86
0
0
30 Apr 2025
Improvements of Dark Experience Replay and Reservoir Sampling towards Better Balance between Consolidation and Plasticity
Improvements of Dark Experience Replay and Reservoir Sampling towards Better Balance between Consolidation and Plasticity
Taisuke Kobayashi
CLL
43
0
0
29 Apr 2025
The Estimation of Continual Causal Effect for Dataset Shifting Streams
The Estimation of Continual Causal Effect for Dataset Shifting Streams
Baining Chen
Yiming Zhang
Yuqiao Han
Ruyue Zhang
Ruihuan Du
Zhishuo Zhou
Zhengdan Zhu
Xun Liu
Jiecheng Guo
203
0
0
29 Apr 2025
What Causes Knowledge Loss in Multilingual Language Models?
What Causes Knowledge Loss in Multilingual Language Models?
Maria Khelli
Samuel Cahyawijaya
Ayu Purwarianti
Genta Indra Winata
CLL
58
0
0
29 Apr 2025
Feature Staleness Aware Incremental Learning for CTR Prediction
Feature Staleness Aware Incremental Learning for CTR Prediction
Zhikai Wang
Yanyan Shen
Zibin Zhang
Kangyi Lin
39
2
0
29 Apr 2025
TrueFake: A Real World Case Dataset of Last Generation Fake Images also Shared on Social Networks
TrueFake: A Real World Case Dataset of Last Generation Fake Images also Shared on Social Networks
S. Dell’Anna
Andrea Montibeller
Giulia Boato
62
0
0
29 Apr 2025
Advance Fake Video Detection via Vision Transformers
Advance Fake Video Detection via Vision Transformers
Joy Battocchio
S. Dell’Anna
Andrea Montibeller
Giulia Boato
ViT
VGen
41
0
0
29 Apr 2025
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
Personalized Artificial General Intelligence (AGI) via Neuroscience-Inspired Continuous Learning Systems
Personalized Artificial General Intelligence (AGI) via Neuroscience-Inspired Continuous Learning Systems
Rajeev Gupta
Suhani Gupta
Ronak Parikh
Divya Gupta
Amir Javaheri
Jairaj Singh Shaktawat
AI4CE
22
0
0
27 Apr 2025
POET: Prompt Offset Tuning for Continual Human Action Adaptation
POET: Prompt Offset Tuning for Continual Human Action Adaptation
Prachi Garg
Joseph K J
V. Balasubramanian
Necati Cihan Camgöz
Chengde Wan
Kenrick Kin
Weiguang Si
Shugao Ma
Fernando de la Torre
69
0
0
25 Apr 2025
Think, Prune, Train, Improve: Scaling Reasoning without Scaling Models
Think, Prune, Train, Improve: Scaling Reasoning without Scaling Models
Caia Costello
Simon Guo
Anna Goldie
Azalia Mirhoseini
ReLM
SyDa
LRM
116
2
0
25 Apr 2025
Enhancing Pre-Trained Model-Based Class-Incremental Learning through Neural Collapse
Enhancing Pre-Trained Model-Based Class-Incremental Learning through Neural Collapse
Kun He
Zijian Song
Shuoxi Zhang
J. Hopcroft
CLL
61
0
0
25 Apr 2025
Noise-Tolerant Coreset-Based Class Incremental Continual Learning
Noise-Tolerant Coreset-Based Class Incremental Continual Learning
Edison Mucllari
Aswin Raghavan
Z. Daniels
CLL
NoLa
221
0
0
23 Apr 2025
Dynamic Time-aware Continual User Representation Learning
Dynamic Time-aware Continual User Representation Learning
Seungyoon Choi
Sein Kim
Hongseok Kang
Wonjoong Kim
Chanyoung Park
CLL
57
0
0
23 Apr 2025
SPECI: Skill Prompts based Hierarchical Continual Imitation Learning for Robot Manipulation
SPECI: Skill Prompts based Hierarchical Continual Imitation Learning for Robot Manipulation
Jingkai Xu
Xiangli Nie
37
0
0
22 Apr 2025
ZeroSlide: Is Zero-Shot Classification Adequate for Lifelong Learning in Whole-Slide Image Analysis in the Era of Pathology Vision-Language Foundation Models?
ZeroSlide: Is Zero-Shot Classification Adequate for Lifelong Learning in Whole-Slide Image Analysis in the Era of Pathology Vision-Language Foundation Models?
Doanh C. Bui
H. Pham
Vu Trung Duong Le
Tuan Hai Vu
Van Duy Tran
Y. Nakashima
VLM
46
1
0
22 Apr 2025
Few-Shot Vision-Language Action-Incremental Policy Learning
Few-Shot Vision-Language Action-Incremental Policy Learning
Mingchen Song
Xiang Deng
Guoqiang Zhong
Qi Lv
Jia Wan
Yinchuan Li
Haifeng Zhang
Weili Guan
43
0
0
22 Apr 2025
Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture
Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture
Meng Cui
Xianghu Yue
Xinyuan Qian
Jinzheng Zhao
Haohe Liu
Xubo Liu
Daoliang Li
Wenwu Wang
36
0
0
21 Apr 2025
Semi-parametric Memory Consolidation: Towards Brain-like Deep Continual Learning
Semi-parametric Memory Consolidation: Towards Brain-like Deep Continual Learning
Geng Liu
Fei Zhu
Rong Feng
Zhiqiang Yi
Shiqi Wang
Gaofeng Meng
Zhaoxiang Zhang
CLL
40
0
0
20 Apr 2025
Learning Critically: Selective Self Distillation in Federated Learning on Non-IID Data
Learning Critically: Selective Self Distillation in Federated Learning on Non-IID Data
Yuting He
Yiqiang Chen
Xiaodong Yang
H. Yu
Yi-Hua Huang
Yang Gu
FedML
69
21
0
20 Apr 2025
SwitchMT: An Adaptive Context Switching Methodology for Scalable Multi-Task Learning in Intelligent Autonomous Agents
SwitchMT: An Adaptive Context Switching Methodology for Scalable Multi-Task Learning in Intelligent Autonomous Agents
Avaneesh Devkota
Rachmad Vidya Wicaksana Putra
Mohamed Bennai
28
0
0
18 Apr 2025
Parameter-Efficient Continual Fine-Tuning: A Survey
Parameter-Efficient Continual Fine-Tuning: A Survey
Eric Nuertey Coleman
Luigi Quarantiello
Ziyue Liu
Qinwen Yang
Samrat Mukherjee
J. Hurtado
Vincenzo Lomonaco
CLL
36
0
0
18 Apr 2025
Harmony: A Unified Framework for Modality Incremental Learning
Harmony: A Unified Framework for Modality Incremental Learning
Y. Song
Xiaoshan Yang
D. Jiang
Yaowei Wang
Changsheng Xu
CLL
50
0
0
17 Apr 2025
Continual Learning Strategies for 3D Engineering Regression Problems: A Benchmarking Study
Continual Learning Strategies for 3D Engineering Regression Problems: A Benchmarking Study
Kaira M. Samuel
Faez Ahmed
55
0
0
16 Apr 2025
GPS: Distilling Compact Memories via Grid-based Patch Sampling for Efficient Online Class-Incremental Learning
GPS: Distilling Compact Memories via Grid-based Patch Sampling for Efficient Online Class-Incremental Learning
Mingchuan Ma
Yuhao Zhou
Jindi Lv
Yuxin Tian
Dan Si
Shujian Li
Qing Ye
Jiancheng Lv
CLL
43
0
0
14 Apr 2025
Myanmar XNLI: Building a Dataset and Exploring Low-resource Approaches to Natural Language Inference with Myanmar
Myanmar XNLI: Building a Dataset and Exploring Low-resource Approaches to Natural Language Inference with Myanmar
Aung Kyaw Htet
Mark Dras
39
1
0
13 Apr 2025
Query-based Knowledge Transfer for Heterogeneous Learning Environments
Query-based Knowledge Transfer for Heterogeneous Learning Environments
Norah Alballa
Wenxuan Zhang
Ziquan Liu
A. Abdelmoniem
Mohamed Elhoseiny
Marco Canini
38
0
0
12 Apr 2025
Task-conditioned Ensemble of Expert Models for Continuous Learning
Task-conditioned Ensemble of Expert Models for Continuous Learning
Renu Sharma
Debasmita Pal
Arun Ross
OOD
KELM
234
0
0
11 Apr 2025
CMIP-CIL: A Cross-Modal Benchmark for Image-Point Class Incremental Learning
CMIP-CIL: A Cross-Modal Benchmark for Image-Point Class Incremental Learning
Chao Qi
Jianqin Yin
Ren Zhang
CLL
3DPC
VLM
40
0
0
11 Apr 2025
Boosting the Class-Incremental Learning in 3D Point Clouds via Zero-Collection-Cost Basic Shape Pre-Training
Boosting the Class-Incremental Learning in 3D Point Clouds via Zero-Collection-Cost Basic Shape Pre-Training
Chao Qi
Jianqin Yin
Meng Chen
Yingchun Niu
Yuan Sun
3DPC
CLL
50
0
0
11 Apr 2025
Position: Beyond Euclidean -- Foundation Models Should Embrace Non-Euclidean Geometries
Position: Beyond Euclidean -- Foundation Models Should Embrace Non-Euclidean Geometries
Neil He
Jiahong Liu
Buze Zhang
N. Bui
Ali Maatouk
Menglin Yang
Irwin King
Melanie Weber
Rex Ying
36
0
0
11 Apr 2025
On The Landscape of Spoken Language Models: A Comprehensive Survey
On The Landscape of Spoken Language Models: A Comprehensive Survey
Siddhant Arora
Kai-Wei Chang
Chung-Ming Chien
Yifan Peng
Haibin Wu
Yossi Adi
Emmanuel Dupoux
Hung-yi Lee
Karen Livescu
Shinji Watanabe
52
3
0
11 Apr 2025
LoRAX: LoRA eXpandable Networks for Continual Synthetic Image Attribution
LoRAX: LoRA eXpandable Networks for Continual Synthetic Image Attribution
Danielle Sullivan-Pao
Nicole Tian
Pooya Khorrami
CLL
62
0
0
10 Apr 2025
S2R-HDR: A Large-Scale Rendered Dataset for HDR Fusion
S2R-HDR: A Large-Scale Rendered Dataset for HDR Fusion
Yujin Wang
Jiarui Wu
Yichen Bian
Fan Zhang
Tianfan Xue
34
0
0
10 Apr 2025
DUKAE: DUal-level Knowledge Accumulation and Ensemble for Pre-Trained Model-Based Continual Learning
DUKAE: DUal-level Knowledge Accumulation and Ensemble for Pre-Trained Model-Based Continual Learning
Songze Li
Tonghua Su
Xu-Yao Zhang
Qixing Xu
Zhongjie Wang
CLL
38
0
0
09 Apr 2025
FM-LoRA: Factorized Low-Rank Meta-Prompting for Continual Learning
FM-LoRA: Factorized Low-Rank Meta-Prompting for Continual Learning
Xiaobing Yu
Jin Yang
Xiao Wu
Peijie Qiu
Xiaofeng Liu
CLL
42
0
0
09 Apr 2025
Prototype-Based Continual Learning with Label-free Replay Buffer and Cluster Preservation Loss
Prototype-Based Continual Learning with Label-free Replay Buffer and Cluster Preservation Loss
Agil Aghasanli
Yi Li
Plamen Angelov
CLL
VLM
57
0
0
09 Apr 2025
Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach
Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach
Dheeraj Baby
Boran Han
Shuai Zhang
Cuixiong Hu
Yuyang Wang
Yu Wang
OOD
58
1
0
09 Apr 2025
Neuron-level Balance between Stability and Plasticity in Deep Reinforcement Learning
Neuron-level Balance between Stability and Plasticity in Deep Reinforcement Learning
Jiahua Lan
Sen Zhang
Haixia Pan
Ruijun Liu
Li Shen
Dacheng Tao
CLL
38
0
0
09 Apr 2025
Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual Learning
Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual Learning
Nikhil Shivakumar Nayak
Krishnateja Killamsetty
Ligong Han
Abhishek Bhandwaldar
Prateek Chanda
...
Hao Wang
Aldo Pareja
Oleg Silkin
Mustafa Eyceoz
Akash Srivastava
CLL
55
0
0
09 Apr 2025
SEE: Continual Fine-tuning with Sequential Ensemble of Experts
SEE: Continual Fine-tuning with Sequential Ensemble of Experts
Zhilin Wang
Yafu Li
Xiaoye Qu
Yu Cheng
CLL
KELM
58
0
0
09 Apr 2025
Knowledge-Instruct: Effective Continual Pre-training from Limited Data using Instructions
Knowledge-Instruct: Effective Continual Pre-training from Limited Data using Instructions
O. Ovadia
Meni Brief
Rachel Lemberg
Eitam Sheetrit
CLL
KELM
54
0
0
08 Apr 2025
Meta-Continual Learning of Neural Fields
Meta-Continual Learning of Neural Fields
Seungyoon Woo
Junhyeog Yun
Gunhee Kim
CLL
AI4CE
35
1
0
08 Apr 2025
Better Rates for Random Task Orderings in Continual Linear Models
Better Rates for Random Task Orderings in Continual Linear Models
Itay Evron
Ran Levinstein
Matan Schliserman
Uri Sherman
Tomer Koren
Daniel Soudry
Nathan Srebro
CLL
40
0
0
06 Apr 2025
Memory-Statistics Tradeoff in Continual Learning with Structural Regularization
Memory-Statistics Tradeoff in Continual Learning with Structural Regularization
Haoran Li
Jingfeng Wu
Vladimir Braverman
CLL
42
0
0
05 Apr 2025
Outlook Towards Deployable Continual Learning for Particle Accelerators
Outlook Towards Deployable Continual Learning for Particle Accelerators
Kishansingh Rajput
Sen Lin
Auralee Edelen
Willem Blokland
Malachi Schram
36
0
0
04 Apr 2025
BECAME: BayEsian Continual Learning with Adaptive Model MErging
BECAME: BayEsian Continual Learning with Adaptive Model MErging
Mei Li
Yuxiang Lu
Qinyan Dai
Suizhi Huang
Yue Ding
Hongtao Lu
CLL
MoMe
51
0
0
03 Apr 2025
Distributed Log-driven Anomaly Detection System based on Evolving Decision Making
Distributed Log-driven Anomaly Detection System based on Evolving Decision Making
Zhuoran Tan
Qiyuan Wang
Christos Anagnostopoulos
S. P. Parambath
Jeremy Singer
Sam Temple
55
0
0
03 Apr 2025
The Self-Learning Agent with a Progressive Neural Network Integrated Transformer
The Self-Learning Agent with a Progressive Neural Network Integrated Transformer
Ajay Sivakumar
Shalini
Vasantha Raj
Sebastian Sylvester
AI4CE
36
0
0
03 Apr 2025
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