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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 / 3,809 papers shown
Title
Towards Incremental Learning in Large Language Models: A Critical Review
Towards Incremental Learning in Large Language Models: A Critical Review
M. Jovanovic
Peter Voss
ELMCLLKELM
130
5
0
28 Apr 2024
Out-of-distribution Detection in Medical Image Analysis: A survey
Out-of-distribution Detection in Medical Image Analysis: A survey
Zesheng Hong
Yubiao Yue
Yubin Chen
Lele Cong
Huanjie Lin
...
Jialong Xu
Xiaoqi Yang
Hechang Chen
Zhenzhang Li
Sihong Xie
OOD
108
7
0
28 Apr 2024
Prompt Customization for Continual Learning
Prompt Customization for Continual Learning
Yong Dai
Xiaopeng Hong
Yabin Wang
Zhiheng Ma
D. Jiang
Yaowei Wang
84
0
0
28 Apr 2024
Hard ASH: Sparsity and the right optimizer make a continual learner
Hard ASH: Sparsity and the right optimizer make a continual learner
Santtu Keskinen
CLL
77
1
0
26 Apr 2024
Continual Learning of Large Language Models: A Comprehensive Survey
Continual Learning of Large Language Models: A Comprehensive Survey
Haizhou Shi
Zihao Xu
Hengyi Wang
Weiyi Qin
Wenyuan Wang
Yibin Wang
Zifeng Wang
Sayna Ebrahimi
Hao Wang
CLLKELMLRM
181
88
0
25 Apr 2024
MuseumMaker: Continual Style Customization without Catastrophic
  Forgetting
MuseumMaker: Continual Style Customization without Catastrophic Forgetting
Chenxi Liu
Gan Sun
Wenqi Liang
Jiahua Dong
Can Qin
Yang Cong
DiffM
145
5
0
25 Apr 2024
Distributionally Robust Safe Screening
Distributionally Robust Safe Screening
Hiroyuki Hanada
Satoshi Akahane
Tatsuya Aoyama
Tomonari Tanaka
Yoshito Okura
...
Noriaki Hashimoto
Taro Murayama
Lee Hanju
Shinya Kojima
Ichiro Takeuchi
55
1
0
25 Apr 2024
MoDE: CLIP Data Experts via Clustering
MoDE: CLIP Data Experts via Clustering
Jiawei Ma
Po-Yao Huang
Saining Xie
Shang-Wen Li
Luke Zettlemoyer
Shih-Fu Chang
Wen-tau Yih
Hu Xu
MoECLIPVLM
91
14
0
24 Apr 2024
A comprehensive and easy-to-use multi-domain multi-task medical imaging
  meta-dataset (MedIMeta)
A comprehensive and easy-to-use multi-domain multi-task medical imaging meta-dataset (MedIMeta)
S. Woerner
Arthur Jaques
Christian F. Baumgartner
VLM
76
4
0
24 Apr 2024
Layer Ensemble Averaging for Improving Memristor-Based Artificial Neural
  Network Performance
Layer Ensemble Averaging for Improving Memristor-Based Artificial Neural Network Performance
Osama Yousuf
Brian D. Hoskins
Karthick Ramu
Mitchell Fream
W. A. Borders
...
M. Daniels
A. Dienstfrey
Jabez J. McClelland
Martin Lueker-Boden
Gina Adam
62
1
0
24 Apr 2024
A Unified Replay-based Continuous Learning Framework for Spatio-Temporal
  Prediction on Streaming Data
A Unified Replay-based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data
Hao Miao
Yan Zhao
Chenjuan Guo
Bin Yang
Kai Zheng
Feiteng Huang
Jiandong Xie
Christian S. Jensen
AI4TSCLL
101
41
0
23 Apr 2024
Revisiting Neural Networks for Continual Learning: An Architectural
  Perspective
Revisiting Neural Networks for Continual Learning: An Architectural Perspective
Aojun Lu
Tao Feng
Hangjie Yuan
Xiaotian Song
Yanan Sun
92
10
0
23 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
99
3
0
23 Apr 2024
Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language
  Learning
Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language Learning
Yanhui Guo
Shaoyuan Xu
Jinmiao Fu
Jia-Wei Liu
Chaosheng Dong
Bryan Wang
VLMCLL
88
8
0
22 Apr 2024
Brain-Inspired Continual Learning-Robust Feature Distillation and
  Re-Consolidation for Class Incremental Learning
Brain-Inspired Continual Learning-Robust Feature Distillation and Re-Consolidation for Class Incremental Learning
Hikmat Khan
N. Bouaynaya
Ghulam Rasool
CLL
98
1
0
22 Apr 2024
A Survey on Self-Evolution of Large Language Models
A Survey on Self-Evolution of Large Language Models
Zhengwei Tao
Ting-En Lin
Xiancai Chen
Hangyu Li
Yuchuan Wu
Yongbin Li
Zhi Jin
Fei Huang
Dacheng Tao
Jingren Zhou
LRMLM&Ro
103
27
0
22 Apr 2024
DynaMMo: Dynamic Model Merging for Efficient Class Incremental Learning
  for Medical Images
DynaMMo: Dynamic Model Merging for Efficient Class Incremental Learning for Medical Images
Mohammad Areeb Qazi
Ibrahim Almakky
Anees Ur Rehman Hashmi
Santosh Sanjeev
Mohammad Yaqub
MoMe
78
3
0
22 Apr 2024
I2CANSAY:Inter-Class Analogical Augmentation and Intra-Class
  Significance Analysis for Non-Exemplar Online Task-Free Continual Learning
I2CANSAY:Inter-Class Analogical Augmentation and Intra-Class Significance Analysis for Non-Exemplar Online Task-Free Continual Learning
Songlin Dong
Yingjie Chen
Yuhang He
Yuhan Jin
Alex C. Kot
Yihong Gong
CLL
95
0
0
21 Apr 2024
MultiConfederated Learning: Inclusive Non-IID Data handling with
  Decentralized Federated Learning
MultiConfederated Learning: Inclusive Non-IID Data handling with Decentralized Federated Learning
Michael Duchesne
Kaiwen Zhang
Talhi Chamseddine
FedML
73
0
0
20 Apr 2024
Double Mixture: Towards Continual Event Detection from Speech
Double Mixture: Towards Continual Event Detection from Speech
Jingqi Kang
Tongtong Wu
Jinming Zhao
Guitao Wang
Yinwei Wei
Haomiao Yang
Guilin Qi
Yuan-Fang Li
Gholamreza Haffari
66
0
0
20 Apr 2024
BACS: Background Aware Continual Semantic Segmentation
BACS: Background Aware Continual Semantic Segmentation
Mostafa ElAraby
Ali Harakeh
Liam Paull
CLL
87
0
0
19 Apr 2024
Continual Learning on a Diet: Learning from Sparsely Labeled Streams
  Under Constrained Computation
Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation
Wenxuan Zhang
Youssef Mohamed
Guohao Li
Philip Torr
Adel Bibi
Mohamed Elhoseiny
CLL
111
5
0
19 Apr 2024
FedMeS: Personalized Federated Continual Learning Leveraging Local
  Memory
FedMeS: Personalized Federated Continual Learning Leveraging Local Memory
Jingru Xie
Chenqi Zhu
Songze Li
FedMLCLL
104
0
0
19 Apr 2024
Adaptive Memory Replay for Continual Learning
Adaptive Memory Replay for Continual Learning
James Seale Smith
Lazar Valkov
Shaunak Halbe
V. Gutta
Rogerio Feris
Z. Kira
Leonid Karlinsky
99
6
0
18 Apr 2024
Alleviating Catastrophic Forgetting in Facial Expression Recognition
  with Emotion-Centered Models
Alleviating Catastrophic Forgetting in Facial Expression Recognition with Emotion-Centered Models
Israel A. Laurensi
A. Britto
J. P. Barddal
A. L. Koerich
CVBM
58
1
0
18 Apr 2024
Tendency-driven Mutual Exclusivity for Weakly Supervised Incremental
  Semantic Segmentation
Tendency-driven Mutual Exclusivity for Weakly Supervised Incremental Semantic Segmentation
Chongjie Si
Xuehui Wang
Xiaokang Yang
Wei Shen
CLL
93
2
0
18 Apr 2024
Exploring the landscape of large language models: Foundations,
  techniques, and challenges
Exploring the landscape of large language models: Foundations, techniques, and challenges
M. Moradi
Ke Yan
David Colwell
Matthias Samwald
Rhona Asgari
OffRL
75
2
0
18 Apr 2024
Domain-Specific Block Selection and Paired-View Pseudo-Labeling for
  Online Test-Time Adaptation
Domain-Specific Block Selection and Paired-View Pseudo-Labeling for Online Test-Time Adaptation
Yeonguk Yu
Sungho Shin
S. Back
Minhwan Ko
Sangjun Noh
Kyoobin Lee
TTAOOD
110
4
0
17 Apr 2024
Continual Offline Reinforcement Learning via Diffusion-based Dual
  Generative Replay
Continual Offline Reinforcement Learning via Diffusion-based Dual Generative Replay
Jinmei Liu
Wenbin Li
Xiangyu Yue
Shilin Zhang
Chunlin Chen
Zhi Wang
OffRLDiffM
88
6
0
16 Apr 2024
Optimization of Prompt Learning via Multi-Knowledge Representation for
  Vision-Language Models
Optimization of Prompt Learning via Multi-Knowledge Representation for Vision-Language Models
Enming Zhang
Bingke Zhu
Yingying Chen
Qinghai Miao
Ming Tang
Jinqiao Wang
VLM
80
0
0
16 Apr 2024
MaxFusion: Plug&Play Multi-Modal Generation in Text-to-Image Diffusion
  Models
MaxFusion: Plug&Play Multi-Modal Generation in Text-to-Image Diffusion Models
Nithin Gopalakrishnan Nair
Jeya Maria Jose Valanarasu
Vishal M. Patel
MoMe
97
7
0
15 Apr 2024
Diffscaler: Enhancing the Generative Prowess of Diffusion Transformers
Diffscaler: Enhancing the Generative Prowess of Diffusion Transformers
Nithin Gopalakrishnan Nair
Jeya Maria Jose Valanarasu
Vishal M. Patel
98
1
0
15 Apr 2024
Towards Practical Tool Usage for Continually Learning LLMs
Towards Practical Tool Usage for Continually Learning LLMs
Jerry Huang
Prasanna Parthasarathi
Mehdi Rezagholizadeh
Sarath Chandar
CLLKELM
94
7
0
14 Apr 2024
TransformerFAM: Feedback attention is working memory
TransformerFAM: Feedback attention is working memory
Dongseong Hwang
Weiran Wang
Zhuoyuan Huo
K. Sim
P. M. Mengibar
123
12
0
14 Apr 2024
Leveraging viscous Hamilton-Jacobi PDEs for uncertainty quantification
  in scientific machine learning
Leveraging viscous Hamilton-Jacobi PDEs for uncertainty quantification in scientific machine learning
Zongren Zou
Tingwei Meng
Paula Chen
Jérome Darbon
George Karniadakis
85
8
0
12 Apr 2024
Learning to Rebalance Multi-Modal Optimization by Adaptively Masking
  Subnetworks
Learning to Rebalance Multi-Modal Optimization by Adaptively Masking Subnetworks
Yang Yang
Hongpeng Pan
Qingjun Jiang
Yi Tian Xu
Jinghui Tang
72
6
0
12 Apr 2024
Continual Learning of Range-Dependent Transmission Loss for Underwater
  Acoustic using Conditional Convolutional Neural Net
Continual Learning of Range-Dependent Transmission Loss for Underwater Acoustic using Conditional Convolutional Neural Net
Indu Kant Deo
Akash Venkateshwaran
R. Jaiman
AI4CE
67
4
0
11 Apr 2024
Remembering Transformer for Continual Learning
Remembering Transformer for Continual Learning
Yuwei Sun
Ippei Fujisawa
Arthur Juliani
Jun Sakuma
Ryota Kanai
CLL
84
1
0
11 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
63
0
0
10 Apr 2024
Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark
Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark
Marina Ceccon
Davide Dalle Pezze
Alessandro Fabris
Gian Antonio Susto
CLL
84
2
0
10 Apr 2024
Fairness Evolution in Continual Learning for Medical Imaging
Fairness Evolution in Continual Learning for Medical Imaging
Marina Ceccon
Davide Dalle Pezze
Alessandro Fabris
Gian Antonio Susto
OOD
137
1
0
10 Apr 2024
Calibrating Higher-Order Statistics for Few-Shot Class-Incremental
  Learning with Pre-trained Vision Transformers
Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained Vision Transformers
Dipam Goswami
Bartlomiej Twardowski
Joost van de Weijer
86
5
0
09 Apr 2024
On the Convergence of Continual Learning with Adaptive Methods
On the Convergence of Continual Learning with Adaptive Methods
Seung Han
Yeon-Jae Kim
Taehyun Cho
Jungwoo Lee
CLL
75
4
0
08 Apr 2024
Active Test-Time Adaptation: Theoretical Analyses and An Algorithm
Active Test-Time Adaptation: Theoretical Analyses and An Algorithm
Shurui Gui
Xiner Li
Shuiwang Ji
TTA
117
14
0
07 Apr 2024
DELTA: Decoupling Long-Tailed Online Continual Learning
DELTA: Decoupling Long-Tailed Online Continual Learning
S. Raghavan
Jiangpeng He
Fengqing Zhu
109
4
0
06 Apr 2024
Continual Learning with Weight Interpolation
Continual Learning with Weight Interpolation
Jkedrzej Kozal
Jan Wasilewski
Bartosz Krawczyk
Michal Wo'zniak
CLLMoMe
102
7
0
05 Apr 2024
Continual Learning of Numerous Tasks from Long-tail Distributions
Continual Learning of Numerous Tasks from Long-tail Distributions
Liwei Kang
Wee Sun Lee
108
0
0
03 Apr 2024
FedSelect: Personalized Federated Learning with Customized Selection of
  Parameters for Fine-Tuning
FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning
Rishub Tamirisa
Chulin Xie
Wenxuan Bao
Andy Zhou
Ron Arel
Aviv Shamsian
87
9
0
03 Apr 2024
Defense without Forgetting: Continual Adversarial Defense with
  Anisotropic & Isotropic Pseudo Replay
Defense without Forgetting: Continual Adversarial Defense with Anisotropic & Isotropic Pseudo Replay
Yuhang Zhou
Zhongyun Hua
AAMLCLL
100
4
0
02 Apr 2024
Modality Translation for Object Detection Adaptation Without Forgetting
  Prior Knowledge
Modality Translation for Object Detection Adaptation Without Forgetting Prior Knowledge
H. R. Medeiros
Masih Aminbeidokhti
F. Guerrero-Peña
David Latortue
Eric Granger
M. Pedersoli
VLM
134
2
0
01 Apr 2024
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