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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
Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation
Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation
Christopher Angelini
N. Bouaynaya
BDL
94
0
0
18 Jan 2025
Flexible task abstractions emerge in linear networks with fast and bounded units
Flexible task abstractions emerge in linear networks with fast and bounded units
Kai Sandbrink
Jan P. Bauer
A. Proca
Andrew M. Saxe
Christopher Summerfield
Ali Hummos
124
2
0
17 Jan 2025
Dynamic Prototype Rehearsal for Continual Learning in ECG Arrhythmia Detection
Dynamic Prototype Rehearsal for Continual Learning in ECG Arrhythmia Detection
Sana Rahmani
Reetam Chatterjee
Ali Etemad
J. Hashemi
78
0
0
13 Jan 2025
A Contrastive Symmetric Forward-Forward Algorithm (SFFA) for Continual Learning Tasks
A Contrastive Symmetric Forward-Forward Algorithm (SFFA) for Continual Learning Tasks
Erik B. Terres-Escudero
Javier Del Ser
Pablo García Bringas
AAMLCLL
115
0
0
10 Jan 2025
Domain-Incremental Semantic Segmentation for Autonomous Driving under Adverse Driving Conditions
Domain-Incremental Semantic Segmentation for Autonomous Driving under Adverse Driving Conditions
Shishir Muralidhara
René Schuster
Didier Stricker
CLL
573
0
0
10 Jan 2025
Soup to go: mitigating forgetting during continual learning with model averaging
Soup to go: mitigating forgetting during continual learning with model averaging
Anat Kleiman
Gintare Karolina Dziugaite
Jonathan Frankle
Sham Kakade
Mansheej Paul
MoMeCLLKELM
113
3
0
09 Jan 2025
Federated-Continual Dynamic Segmentation of Histopathology guided by Barlow Continuity
Federated-Continual Dynamic Segmentation of Histopathology guided by Barlow Continuity
Niklas Babendererde
Haozhe Zhu
Moritz Fuchs
J. Stieber
Anirban Mukhopadhyay
FedMLOOD
142
0
0
08 Jan 2025
Superposition in Transformers: A Novel Way of Building Mixture of Experts
Superposition in Transformers: A Novel Way of Building Mixture of Experts
Ayoub Ben Chaliah
Hela Dellagi
CLLKELM
60
0
0
08 Jan 2025
QuIM-RAG: Advancing Retrieval-Augmented Generation with Inverted Question Matching for Enhanced QA Performance
Binita Saha
Utsha Saha
Muhammad Zubair Malik
RALM3DV
102
6
0
06 Jan 2025
Persistence of Backdoor-based Watermarks for Neural Networks: A Comprehensive Evaluation
Persistence of Backdoor-based Watermarks for Neural Networks: A Comprehensive Evaluation
Anh Tu Ngo
Chuan Song Heng
Nandish Chattopadhyay
Anupam Chattopadhyay
AAML
481
1
0
06 Jan 2025
Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets
Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets
Vatsal Gupta
Pranshu Pandya
Tushar Kataria
Vivek Gupta
Dan Roth
AAML
194
1
0
03 Jan 2025
Generate to Discriminate: Expert Routing for Continual Learning
Generate to Discriminate: Expert Routing for Continual Learning
Yewon Byun
Sanket Vaibhav Mehta
Saurabh Garg
Emma Strubell
Michael Oberst
Bryan Wilder
Zachary Chase Lipton
195
0
0
31 Dec 2024
Functional Risk Minimization
Functional Risk Minimization
Ferran Alet
Clement Gehring
Tomás Lozano-Pérez
Kenji Kawaguchi
Joshua B. Tenenbaum
Leslie Pack Kaelbling
OffRL
145
0
0
31 Dec 2024
HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs
HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs
Junying Chen
Zhenyang Cai
Ke Ji
Xiang Wang
Wanlong Liu
Rongsheng Wang
Jianye Hou
Benyou Wang
LRM
93
0
0
25 Dec 2024
Prompt Tuning for Item Cold-start Recommendation
Prompt Tuning for Item Cold-start Recommendation
Yuezihan Jiang
Gaode Chen
Wenhan Zhang
Jiadong Wang
Yinjie Jiang
Qi Zhang
Jingjian Lin
Peng Jiang
Kaigui Bian
VLM
81
1
0
24 Dec 2024
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing
Yule Liu
Zhiyuan Zhong
Yifan Liao
Zhen Sun
Jingyi Zheng
...
Qingyuan Gong
Fenghua Tong
Yang Chen
Yang Zhang
Xinlei He
DeLMO
132
0
0
23 Dec 2024
Hierarchically Gated Experts for Efficient Online Continual Learning
Hierarchically Gated Experts for Efficient Online Continual Learning
Kevin Luong
Michael Thielscher
CLLOffRL
131
0
0
22 Dec 2024
Joint Knowledge Editing for Information Enrichment and Probability
  Promotion
Joint Knowledge Editing for Information Enrichment and Probability Promotion
Wenhang Shi
Yiren Chen
Shuqing Bian
Xinyi Zhang
Zhe Zhao
Pengfei Hu
Wei Lu
Xiaoyong Du
KELM
95
1
0
22 Dec 2024
Algorithm Design for Continual Learning in IoT Networks
Algorithm Design for Continual Learning in IoT Networks
Shugang Hao
Lingjie Duan
CLL
158
0
0
22 Dec 2024
Chained Tuning Leads to Biased Forgetting
Chained Tuning Leads to Biased Forgetting
Megan Ung
Alicia Sun
Samuel J. Bell
Bhaktipriya Radharapu
Levent Sagun
Adina Williams
CLLKELM
181
0
0
21 Dec 2024
Uncertainty Quantification in Continual Open-World Learning
Uncertainty Quantification in Continual Open-World Learning
Amanda Rios
I. Ndiour
Parual Datta
Jaroslaw Sydir
Omesh Tickoo
Nilesh A. Ahuja
BDL
133
0
0
21 Dec 2024
Continual Learning Using a Kernel-Based Method Over Foundation Models
Continual Learning Using a Kernel-Based Method Over Foundation Models
Saleh Momeni
Sahisnu Mazumder
Bing-Quan Liu
CLL
158
2
0
20 Dec 2024
In-context Continual Learning Assisted by an External Continual Learner
In-context Continual Learning Assisted by an External Continual Learner
Saleh Momeni
Sahisnu Mazumder
Zixuan Ke
Bing Liu
CLL
171
1
0
20 Dec 2024
Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection
Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection
Xinchen Zhang
Running Zhao
Zhihan Jiang
Handi Chen
Yulong Ding
Edith C.H. Ngai
Shuang-Hua Yang
AAML
243
0
0
20 Dec 2024
Balanced Gradient Sample Retrieval for Enhanced Knowledge Retention in
  Proxy-based Continual Learning
Balanced Gradient Sample Retrieval for Enhanced Knowledge Retention in Proxy-based Continual Learning
Hongye Xu
Jan Wasilewski
Bartosz Krawczyk
CLL
201
0
0
19 Dec 2024
Hierarchical Subspaces of Policies for Continual Offline Reinforcement Learning
Hierarchical Subspaces of Policies for Continual Offline Reinforcement Learning
Anthony Kobanda
Rémy Portelas
Odalric-Ambrym Maillard
Ludovic Denoyer
OffRLCLL
180
1
0
19 Dec 2024
Enabling Realtime Reinforcement Learning at Scale with Staggered
  Asynchronous Inference
Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference
Matthew D Riemer
G. Subbaraj
Glen Berseth
Irina Rish
OffRL
143
2
0
18 Dec 2024
ConDo: Continual Domain Expansion for Absolute Pose Regression
ConDo: Continual Domain Expansion for Absolute Pose Regression
Zijun Li
Z. Cai
B. Yang
Xuelun Shen
Siqi Shen
Xiaoliang Fan
Michael Paulitsch
Cheng-Yu Wang
CLL
155
0
0
18 Dec 2024
Enhancing Talk Moves Analysis in Mathematics Tutoring through Classroom
  Teaching Discourse
Enhancing Talk Moves Analysis in Mathematics Tutoring through Classroom Teaching Discourse
Jie Cao
Abhijit Suresh
Jennifer Jacobs
Charis Clevenger
Amanda Howard
Chelsea Brown
Brent Milne
Tom Fischaber
T. Sumner
James H. Martin
116
2
0
18 Dec 2024
Cross-Lingual Transfer of Debiasing and Detoxification in Multilingual LLMs: An Extensive Investigation
Cross-Lingual Transfer of Debiasing and Detoxification in Multilingual LLMs: An Extensive Investigation
Vera Neplenbroek
Arianna Bisazza
Raquel Fernández
232
1
0
18 Dec 2024
Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence
Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence
Yichen Li
Yuying Wang
Haozhao Wang
Yining Qi
Tianzhe Xiao
Ruixuan Li
218
1
0
18 Dec 2024
Relation-Guided Adversarial Learning for Data-free Knowledge Transfer
Relation-Guided Adversarial Learning for Data-free Knowledge Transfer
Yingping Liang
Ying Fu
120
1
0
16 Dec 2024
Linked Adapters: Linking Past and Future to Present for Effective
  Continual Learning
Linked Adapters: Linking Past and Future to Present for Effective Continual Learning
Dupati Srikar Chandra
P. K. Srijith
Dana Rezazadegan
Chris McCarthy
CLL
95
0
0
14 Dec 2024
CONCLAD: COntinuous Novel CLAss Detector
CONCLAD: COntinuous Novel CLAss Detector
Amanda Rios
I. Ndiour
Parual Datta
Omesh Tickoo
Nilesh A. Ahuja
168
0
0
13 Dec 2024
Feat2GS: Probing Visual Foundation Models with Gaussian Splatting
Feat2GS: Probing Visual Foundation Models with Gaussian Splatting
Yue Chen
Xingyu Chen
Anpei Chen
Gerard Pons-Moll
Yuliang Xiu
3DGS
139
4
0
12 Dec 2024
Scaling Sequential Recommendation Models with Transformers
Scaling Sequential Recommendation Models with Transformers
Pablo Zivic
Hernán Ceferino Vázquez
Jorge Sanchez
OffRLLRM
124
1
0
10 Dec 2024
Parseval Regularization for Continual Reinforcement Learning
Parseval Regularization for Continual Reinforcement Learning
Wesley Chung
Lynn Cherif
David Meger
Doina Precup
CLL
125
5
0
10 Dec 2024
How to Merge Your Multimodal Models Over Time?
How to Merge Your Multimodal Models Over Time?
Sebastian Dziadzio
Vishaal Udandarao
Karsten Roth
Ameya Prabhu
Zeynep Akata
Samuel Albanie
Matthias Bethge
MoMe
205
7
0
09 Dec 2024
Class Balance Matters to Active Class-Incremental Learning
Class Balance Matters to Active Class-Incremental Learning
Zitong Huang
Zhaoyu Chen
Yuanze Li
Bowen Dong
Erjin Zhou
Y. Liu
Rick Siow Mong Goh
Chun-Mei Feng
W. Zuo
CLL
141
1
0
09 Dec 2024
Continual Learning for Segment Anything Model Adaptation
Continual Learning for Segment Anything Model Adaptation
Jinglong Yang
Yichen Wu
Jun Cen
Wenjian Huang
Hong Wang
Jianguo Zhang
TTACLL
131
0
0
09 Dec 2024
Directed Structural Adaptation to Overcome Statistical Conflicts and
  Enable Continual Learning
Directed Structural Adaptation to Overcome Statistical Conflicts and Enable Continual Learning
Zeki Doruk Erden
Boi Faltings
113
4
0
05 Dec 2024
Sustainable Self-evolution Adversarial Training
Sustainable Self-evolution Adversarial Training
Wenxuan Wang
Chenglei Wang
Huihui Qi
Menghao Ye
Xuelin Qian
Peng Wang
Yanning Zhang
AAML
141
0
0
03 Dec 2024
Deep evolving semi-supervised anomaly detection
Deep evolving semi-supervised anomaly detection
Jack Belham
Aryan Bhosale
Samrat Mukherjee
Biplab Banerjee
Fabio Cuzzolin
123
0
0
01 Dec 2024
Adaptive Rank, Reduced Forgetting: Knowledge Retention in Continual Learning Vision-Language Models with Dynamic Rank-Selective LoRA
Adaptive Rank, Reduced Forgetting: Knowledge Retention in Continual Learning Vision-Language Models with Dynamic Rank-Selective LoRA
Haodong Lu
Chongyang Zhao
Jason Xue
Lina Yao
Kristen Moore
Dong Gong
CLLKELMVLM
236
7
0
01 Dec 2024
Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning
  Zero-Shot Models
Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models
Kaican Li
Weiyan Xie
Yongxiang Huang
Didan Deng
Lanqing Hong
Hao Sun
Ricardo Silva
N. Zhang
160
0
0
29 Nov 2024
DESIRE: Dynamic Knowledge Consolidation for Rehearsal-Free Continual
  Learning
DESIRE: Dynamic Knowledge Consolidation for Rehearsal-Free Continual Learning
Haiyang Guo
Fei Zhu
Fanhu Zeng
Bing Liu
Xu-Yao Zhang
MoMeCLL
151
4
0
28 Nov 2024
Emergence of Self-Identity in AI: A Mathematical Framework and Empirical
  Study with Generative Large Language Models
Emergence of Self-Identity in AI: A Mathematical Framework and Empirical Study with Generative Large Language Models
Minhyeok Lee
102
0
0
27 Nov 2024
Continual Learning in Machine Speech Chain Using Gradient Episodic
  Memory
Continual Learning in Machine Speech Chain Using Gradient Episodic Memory
Geoffrey Tyndall
Kurniawati Azizah
Dipta Tanaya
Ayu Purwarianti
Dessi Lestari
S. Sakti
CLL
98
0
0
27 Nov 2024
A gentle push funziona benissimo: making instructed models in Italian
  via contrastive activation steering
A gentle push funziona benissimo: making instructed models in Italian via contrastive activation steering
Daniel Scalena
Elisabetta Fersini
Malvina Nissim
LLMSV
144
0
0
27 Nov 2024
DECODE: Domain-aware Continual Domain Expansion for Motion Prediction
DECODE: Domain-aware Continual Domain Expansion for Motion Prediction
Boqi Li
Haojie Zhu
Henry X. Liu
139
1
0
26 Nov 2024
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