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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
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
82
47
0
20 Jan 2025
IOR: Inversed Objects Replay for Incremental Object Detection
IOR: Inversed Objects Replay for Incremental Object Detection
Zijia An
Boyu Diao
Libo Huang
Ruiqi Liu
Zhulin An
Yongjun Xu
47
0
0
20 Jan 2025
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
45
0
0
19 Jan 2025
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
41
0
0
19 Jan 2025
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
38
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
63
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
48
0
0
13 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
217
0
0
10 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
AAML
CLL
53
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
MoMe
CLL
KELM
58
1
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
FedML
OOD
38
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
CLL
KELM
35
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
RALM
3DV
64
3
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
222
0
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
66
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
83
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
60
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
Xuben Wang
Wanlong Liu
Rongsheng Wang
Jianye Hou
Benyou Wang
LRM
35
39
0
25 Dec 2024
Prompt Tuning for Item Cold-start Recommendation
Prompt Tuning for Item Cold-start Recommendation
Yuezihan Jiang
Gaode Chen
Wenhan Zhang
Rongxiang Weng
Yinjie Jiang
Qi Zhang
Jingjian Lin
Peng Jiang
Kaigui Bian
VLM
47
0
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
45
2
0
23 Dec 2024
Hierarchically Gated Experts for Efficient Online Continual Learning
Hierarchically Gated Experts for Efficient Online Continual Learning
Kevin Luong
Michael Thielscher
CLL
OffRL
31
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
48
0
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
85
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
CLL
KELM
89
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
91
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
88
1
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
106
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
94
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
OffRL
CLL
89
0
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
85
1
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
83
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
67
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
127
0
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
80
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
70
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
89
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
96
3
0
12 Dec 2024
Scaling Sequential Recommendation Models with Transformers
Scaling Sequential Recommendation Models with Transformers
Pablo Zivic
Hernán Ceferino Vázquez
Jorge Sanchez
OffRL
LRM
79
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
91
2
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
109
4
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
86
0
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
TTA
CLL
93
0
0
09 Dec 2024
Towards Brain Passage Retrieval -- An Investigation of EEG Query Representations
Towards Brain Passage Retrieval -- An Investigation of EEG Query Representations
Niall McGuire
Yashar Moshfeghi
47
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
57
2
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
86
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
75
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
VLM
KELM
CLL
102
4
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
Zechao Li
Ricardo Silva
N. Zhang
74
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
MoMe
CLL
96
3
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
87
0
0
27 Nov 2024
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