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Measuring Catastrophic Forgetting in Neural Networks

Measuring Catastrophic Forgetting in Neural Networks

7 August 2017
Ronald Kemker
Marc McClure
Angelina Abitino
Tyler L. Hayes
Christopher Kanan
    CLL
ArXivPDFHTML

Papers citing "Measuring Catastrophic Forgetting in Neural Networks"

50 / 157 papers shown
Title
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
MoMe
KELM
CLL
31
0
0
22 May 2025
A Conformal Predictive Measure for Assessing Catastrophic Forgetting
A Conformal Predictive Measure for Assessing Catastrophic Forgetting
Ioannis Pitsiorlas
Nour Jamoussi
Marios Kountouris
47
0
0
15 May 2025
Leveraging Partial SMILES Validation Scheme for Enhanced Drug Design in Reinforcement Learning Frameworks
Leveraging Partial SMILES Validation Scheme for Enhanced Drug Design in Reinforcement Learning Frameworks
Xinyu Wang
Jinbo Bi
Minghu Song
CLL
78
0
0
01 May 2025
A Framework for Elastic Adaptation of User Multiple Intents in Sequential Recommendation
A Framework for Elastic Adaptation of User Multiple Intents in Sequential Recommendation
Zhikai Wang
Yanyan Shen
AI4TS
58
0
0
30 Apr 2025
Self-Controlled Dynamic Expansion Model for Continual Learning
Self-Controlled Dynamic Expansion Model for Continual Learning
RunQing Wu
KaiHui Huang
HanYi Zhang
Fei Ye
CLL
VLM
57
0
0
14 Apr 2025
LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning
LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning
Xuan Liu
Xiaobin Chang
CLL
346
0
0
23 Mar 2025
Cross-Domain Continual Learning for Edge Intelligence in Wireless ISAC Networks
Cross-Domain Continual Learning for Edge Intelligence in Wireless ISAC Networks
Jingzhi Hu
Xin Li
Zhou Su
Jun Luo
109
0
0
18 Feb 2025
Incrementally Learning Multiple Diverse Data Domains via Multi-Source Dynamic Expansion Model
Incrementally Learning Multiple Diverse Data Domains via Multi-Source Dynamic Expansion Model
RunQing Wu
Fei Ye
QiHe Liu
Guoxi Huang
Jinyu Guo
Rongyao Hu
CLL
279
0
0
15 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
293
0
0
06 Jan 2025
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
92
0
0
19 Dec 2024
Unsupervised Replay Strategies for Continual Learning with Limited Data
Unsupervised Replay Strategies for Continual Learning with Limited Data
Anthony Bazhenov
Pahan Dewasurendra
G. Krishnan
Jean Erik Delanois
CLL
29
0
0
21 Oct 2024
Optimal Protocols for Continual Learning via Statistical Physics and Control Theory
Optimal Protocols for Continual Learning via Statistical Physics and Control Theory
Francesco Mori
Stefano Sarao Mannelli
Francesca Mignacco
43
3
0
26 Sep 2024
Tiny Robotics Dataset and Benchmark for Continual Object Detection
Tiny Robotics Dataset and Benchmark for Continual Object Detection
Francesco Pasti
Riccardo De Monte
Davide Dalle Pezze
Gian Antonio Susto
Nicola Bellotto
47
1
0
24 Sep 2024
Continual Learning in 3D Point Clouds: Employing Spectral Techniques for Exemplar Selection
Continual Learning in 3D Point Clouds: Employing Spectral Techniques for Exemplar Selection
Hossein Resani
B. Nasihatkon
Mohammadreza Alimoradi Jazi
3DPC
53
2
0
12 Sep 2024
MoFO: Momentum-Filtered Optimizer for Mitigating Forgetting in LLM Fine-Tuning
MoFO: Momentum-Filtered Optimizer for Mitigating Forgetting in LLM Fine-Tuning
Yupeng Chen
Senmiao Wang
Zhihang Lin
Zhihang Lin
Yushun Zhang
Tian Ding
Ruoyu Sun
Ruoyu Sun
CLL
98
3
0
30 Jul 2024
Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning
Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning
Yeongbin Seo
Dongha Lee
Jinyoung Yeo
CLL
KELM
118
1
0
24 Jul 2024
The Fabrication of Reality and Fantasy: Scene Generation with
  LLM-Assisted Prompt Interpretation
The Fabrication of Reality and Fantasy: Scene Generation with LLM-Assisted Prompt Interpretation
Yi Yao
Chan-Feng Hsu
Jhe-Hao Lin
Hongxia Xie
Terence Lin
Yi-Ning Huang
Hong-Han Shuai
Wen-Huang Cheng
DiffM
46
4
0
17 Jul 2024
GemmAr: Enhancing LLMs Through Arabic Instruction-Tuning
GemmAr: Enhancing LLMs Through Arabic Instruction-Tuning
Hasna Chouikhi
Manel Aloui
Cyrine Ben Hammou
Ghaith Chaabane
Haithem Kchaou
Chehir Dhaouadi
49
0
0
02 Jul 2024
MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection
MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection
Zhuoxiao Chen
Junjie Meng
Mahsa Baktashmotlagh
Yonggang Zhang
Zi Huang
Yadan Luo
89
1
0
21 Jun 2024
Reflecting on the State of Rehearsal-free Continual Learning with
  Pretrained Models
Reflecting on the State of Rehearsal-free Continual Learning with Pretrained Models
Lukas Thede
Karsten Roth
Olivier J. Hénaff
Matthias Bethge
Zeynep Akata
CLL
52
5
0
13 Jun 2024
Benchmark Data Contamination of Large Language Models: A Survey
Benchmark Data Contamination of Large Language Models: A Survey
Cheng Xu
Shuhao Guan
Derek Greene
Mohand-Tahar Kechadi
ELM
ALM
43
46
0
06 Jun 2024
Dual Process Learning: Controlling Use of In-Context vs. In-Weights Strategies with Weight Forgetting
Dual Process Learning: Controlling Use of In-Context vs. In-Weights Strategies with Weight Forgetting
Suraj Anand
Michael A. Lepori
Jack Merullo
Ellie Pavlick
CLL
43
8
0
28 May 2024
KAN: Kolmogorov-Arnold Networks
KAN: Kolmogorov-Arnold Networks
Ziming Liu
Yixuan Wang
Sachin Vaidya
Fabian Ruehle
James Halverson
Marin Soljacic
Thomas Y. Hou
Max Tegmark
100
504
0
30 Apr 2024
Dynamically Anchored Prompting for Task-Imbalanced Continual Learning
Dynamically Anchored Prompting for Task-Imbalanced Continual Learning
Chenxing Hong
Yan Jin
Zhiqi Kang
Yizhou Chen
Mengke Li
Yang Lu
Hanzi Wang
53
3
0
23 Apr 2024
Toward industrial use of continual learning : new metrics proposal for
  class incremental learning
Toward industrial use of continual learning : new metrics proposal for class incremental learning
Mohamed Abbas Konaté
A. Yao
Thierry Chateau
P. Bouges
CLL
29
0
0
10 Apr 2024
Hallucination Detection in Foundation Models for Decision-Making: A Flexible Definition and Review of the State of the Art
Hallucination Detection in Foundation Models for Decision-Making: A Flexible Definition and Review of the State of the Art
Neeloy Chakraborty
Melkior Ornik
Katherine Driggs-Campbell
LRM
65
10
0
25 Mar 2024
Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift
Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift
Renchunzi Xie
Ambroise Odonnat
Vasilii Feofanov
I. Redko
Jianfeng Zhang
Bo An
UQCV
92
1
0
17 Jan 2024
Federated Continual Learning via Knowledge Fusion: A Survey
Federated Continual Learning via Knowledge Fusion: A Survey
Xin Yang
Hao Yu
Xin Gao
Hao Wang
Junbo Zhang
Tianrui Li
FedML
43
34
0
27 Dec 2023
Benchmarking Continual Learning from Cognitive Perspectives
Benchmarking Continual Learning from Cognitive Perspectives
Xiaoqian Liu
Junge Zhang
Mingyi Zhang
Peipei Yang
47
1
0
06 Dec 2023
Efficient Rehearsal Free Zero Forgetting Continual Learning using
  Adaptive Weight Modulation
Efficient Rehearsal Free Zero Forgetting Continual Learning using Adaptive Weight Modulation
Yonatan Sverdlov
Shimon Ullman
58
0
0
26 Nov 2023
FLTrojan: Privacy Leakage Attacks against Federated Language Models Through Selective Weight Tampering
FLTrojan: Privacy Leakage Attacks against Federated Language Models Through Selective Weight Tampering
Md Rafi Ur Rashid
Vishnu Asutosh Dasu
Kang Gu
Najrin Sultana
Shagufta Mehnaz
AAML
FedML
61
11
0
24 Oct 2023
Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust
  Performance
Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust Performance
Dongao Ma
Jiaxuan Pang
Michael B. Gotway
Jianming Liang
MedIm
OOD
35
8
0
14 Oct 2023
Can language models learn analogical reasoning? Investigating training
  objectives and comparisons to human performance
Can language models learn analogical reasoning? Investigating training objectives and comparisons to human performance
Molly R. Petersen
Lonneke van der Plas
LRM
40
7
0
09 Oct 2023
Elephant Neural Networks: Born to Be a Continual Learner
Elephant Neural Networks: Born to Be a Continual Learner
Qingfeng Lan
A. Rupam Mahmood
CLL
71
9
0
02 Oct 2023
Machine Learning Meets Advanced Robotic Manipulation
Machine Learning Meets Advanced Robotic Manipulation
Saeid Nahavandi
R. Alizadehsani
D. Nahavandi
Chee Peng Lim
Kevin Kelly
Fernando Bello
38
17
0
22 Sep 2023
Measuring Catastrophic Forgetting in Cross-Lingual Transfer Paradigms: Exploring Tuning Strategies
Measuring Catastrophic Forgetting in Cross-Lingual Transfer Paradigms: Exploring Tuning Strategies
Boshko Koloski
Blaž Škrlj
Marko Robnik-Šikonja
Senja Pollak
CLL
32
2
0
12 Sep 2023
Detect, Augment, Compose, and Adapt: Four Steps for Unsupervised Domain
  Adaptation in Object Detection
Detect, Augment, Compose, and Adapt: Four Steps for Unsupervised Domain Adaptation in Object Detection
M. L. Mekhalfi
Davide Boscaini
Fabio Poiesi
51
6
0
29 Aug 2023
Rethinking Client Drift in Federated Learning: A Logit Perspective
Rethinking Client Drift in Federated Learning: A Logit Perspective
Yu-bao Yan
Chun-Mei Feng
Senior Member Ieee Wangmeng Zuo Senior Member Ieee Mang Ye
Mong Goh
Ping Li
Rick Siow
Lei Zhu
F. I. C. L. Philip Chen
FedML
60
8
0
20 Aug 2023
On the Effectiveness of LayerNorm Tuning for Continual Learning in
  Vision Transformers
On the Effectiveness of LayerNorm Tuning for Continual Learning in Vision Transformers
Thomas De Min
Massimiliano Mancini
Alahari Karteek
Xavier Alameda-Pineda
Elisa Ricci
CLL
37
9
0
18 Aug 2023
Evaluation of Regularization-based Continual Learning Approaches:
  Application to HAR
Evaluation of Regularization-based Continual Learning Approaches: Application to HAR
B. Kann
Sandra Castellanos-Paez
P. Lalanda
32
3
0
26 Apr 2023
MadEye: Boosting Live Video Analytics Accuracy with Adaptive Camera
  Configurations
MadEye: Boosting Live Video Analytics Accuracy with Adaptive Camera Configurations
M. Wong
M. Ramanujam
Guha Balakrishnan
Ravi Netravali
47
4
0
04 Apr 2023
How Efficient Are Today's Continual Learning Algorithms?
How Efficient Are Today's Continual Learning Algorithms?
Md Yousuf Harun
Jhair Gallardo
Tyler L. Hayes
Christopher Kanan
37
24
0
29 Mar 2023
A Survey of Machine Learning-Based Ride-Hailing Planning
A Survey of Machine Learning-Based Ride-Hailing Planning
Dacheng Wen
Yupeng Li
F. Lau
29
4
0
26 Mar 2023
Learned Two-Plane Perspective Prior based Image Resampling for Efficient
  Object Detection
Learned Two-Plane Perspective Prior based Image Resampling for Efficient Object Detection
Anurag Ghosh
Dinesh Reddy Narapureddy
Christoph Mertz
S. Narasimhan
55
4
0
25 Mar 2023
Prismer: A Vision-Language Model with Multi-Task Experts
Prismer: A Vision-Language Model with Multi-Task Experts
Shikun Liu
Linxi Fan
Edward Johns
Zhiding Yu
Chaowei Xiao
Anima Anandkumar
VLM
MLLM
55
22
0
04 Mar 2023
Understanding plasticity in neural networks
Understanding plasticity in neural networks
Clare Lyle
Zeyu Zheng
Evgenii Nikishin
Bernardo Avila-Pires
Razvan Pascanu
Will Dabney
AI4CE
53
97
0
02 Mar 2023
GNNDelete: A General Strategy for Unlearning in Graph Neural Networks
GNNDelete: A General Strategy for Unlearning in Graph Neural Networks
Jiali Cheng
George Dasoulas
Huan He
Chirag Agarwal
Marinka Zitnik
MU
60
37
0
26 Feb 2023
Restricted Orthogonal Gradient Projection for Continual Learning
Restricted Orthogonal Gradient Projection for Continual Learning
Zeyuan Yang
Zonghan Yang
Peng Li
Yang Liu
CLL
47
4
0
28 Jan 2023
Streaming LifeLong Learning With Any-Time Inference
Streaming LifeLong Learning With Any-Time Inference
S. Banerjee
Vinay Kumar Verma
Vinay P. Namboodiri
CLL
47
3
0
27 Jan 2023
A Domain-Agnostic Approach for Characterization of Lifelong Learning
  Systems
A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems
Megan M. Baker
Alexander New
Mario Aguilar-Simon
Ziad Al-Halah
Sébastien M. R. Arnold
...
Zifan Xu
A. Yanguas-Gil
Harel Yedidsion
Shangqun Yu
Gautam K. Vallabha
46
16
0
18 Jan 2023
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