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1901.11356
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Functional Regularisation for Continual Learning with Gaussian Processes
International Conference on Learning Representations (ICLR), 2019
31 January 2019
Michalis K. Titsias
Jonathan Richard Schwarz
A. G. Matthews
Razvan Pascanu
Yee Whye Teh
CLL
BDL
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Papers citing
"Functional Regularisation for Continual Learning with Gaussian Processes"
50 / 104 papers shown
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Statistical Theory of Multi-stage Newton Iteration Algorithm for Online Continual Learning
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128
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The Bayesian Approach to Continual Learning: An Overview
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A Coreset Selection of Coreset Selection Literature: Introduction and Recent Advances
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480
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23 May 2025
Mitigating Catastrophic Forgetting in the Incremental Learning of Medical Images
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Jacob Furst
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297
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28 Apr 2025
Sequential Function-Space Variational Inference via Gaussian Mixture Approximation
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Pengcheng Hao
E. Kuruoglu
BDL
248
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10 Mar 2025
CLDyB: Towards Dynamic Benchmarking for Continual Learning with Pre-trained Models
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Shengzhuang Chen
Yikai Liao
Xiaoxiao Sun
Kede Ma
Ying Wei
373
1
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06 Mar 2025
Soft-TransFormers for Continual Learning
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Chang D. Yoo
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384
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0
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Likelihood approximations via Gaussian approximate inference
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178
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Alessandro Abate
Yarin Gal
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571
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Structural-Entropy-Based Sample Selection for Efficient and Effective Learning
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Tianchi Xie
Jiangning Zhu
Guozu Ma
Minzhi Lin
Wei Chen
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Shixia Liu
406
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03 Oct 2024
Predicting the Susceptibility of Examples to Catastrophic Forgetting
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Tinne Tuytelaars
429
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Yan Li
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Heng-Chiao Huang
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226
37
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Informed Spectral Normalized Gaussian Processes for Trajectory Prediction
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Christian Schlauch
J. Dietrich
Nadja Klein
266
2
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18 Mar 2024
Continual Learning and Catastrophic Forgetting
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Dhireesha Kudithipudi
286
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Tim G. J. Rudner
Freddie Bickford-Smith
Qixuan Feng
Yee Whye Teh
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214
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Tractable Function-Space Variational Inference in Bayesian Neural Networks
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Zonghao Chen
Yee Whye Teh
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242
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Jaehong Yoon
Sung Ju Hwang
Chang D. Yoo
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528
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0
19 Dec 2023
Weighted Ensemble Models Are Strong Continual Learners
European Conference on Computer Vision (ECCV), 2023
Imad Eddine Marouf
Subhankar Roy
Enzo Tartaglione
Stéphane Lathuilière
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377
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14 Dec 2023
Federated Transformed Learning for a Circular, Secure, and Tiny AI
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S. Sun
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173
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24 Nov 2023
Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder
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Daewon Choi
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192
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Towards Robust Continual Learning with Bayesian Adaptive Moment Regularization
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Alexandra Brintrup
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371
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15 Sep 2023
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning
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Zhenyi Wang
Enneng Yang
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Heng-Chiao Huang
KELM
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253
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16 Jul 2023
Continual Learners are Incremental Model Generalizers
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Jaehong Yoon
Sung Ju Hwang
Yu Cao
CLL
199
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21 Jun 2023
Progressive Fourier Neural Representation for Sequential Video Compilation
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Haeyong Kang
Jaehong Yoon
Dahyun Kim
Sung Ju Hwang
Chang D. Yoo
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346
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20 Jun 2023
Memory-Based Dual Gaussian Processes for Sequential Learning
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Paul E. Chang
Prakhar Verma
S. T. John
Arno Solin
Mohammad Emtiyaz Khan
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159
10
0
06 Jun 2023
HARD: Hard Augmentations for Robust Distillation
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Max F. Burg
Fabian H. Sinz
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231
1
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24 May 2023
Accelerating Batch Active Learning Using Continual Learning Techniques
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Gantavya Bhatt
M. Bhalerao
Vianne R. Gao
Rui Yang
J. Bilmes
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183
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10 May 2023
Forget-free Continual Learning with Soft-Winning SubNetworks
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Sultan Rizky Hikmawan Madjid
Sung Ju Hwang
Chang D. Yoo
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225
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27 Mar 2023
Task-Attentive Transformer Architecture for Continual Learning of Vision-and-Language Tasks Using Knowledge Distillation
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Mohammad Rostami
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191
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217
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Tyler L. Hayes
Ronald Kemker
Christopher Kanan
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387
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Partial Network Cloning
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Songhua Liu
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215
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Steering Prototypes with Prompt-tuning for Rehearsal-free Continual Learning
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Zhuowei Li
Long Zhao
Zizhao Zhang
Han Zhang
Diya Liu
Ting Liu
Dimitris N. Metaxas
CLL
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254
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16 Mar 2023
Learning Large-scale Neural Fields via Context Pruned Meta-Learning
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Jihoon Tack
Subin Kim
Sihyun Yu
Jaeho Lee
Jinwoo Shin
Jonathan Richard Schwarz
294
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01 Feb 2023
A Comprehensive Survey of Continual Learning: Theory, Method and Application
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Liyuan Wang
Xingxing Zhang
Hang Su
Jun Zhu
KELM
CLL
777
1,060
0
31 Jan 2023
On Sequential Bayesian Inference for Continual Learning
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Samuel Kessler
Adam D. Cobb
Tim G. J. Rudner
S. Zohren
Stephen J. Roberts
CLL
BDL
333
11
0
04 Jan 2023
CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning
Computer Vision and Pattern Recognition (CVPR), 2022
James Smith
Leonid Karlinsky
V. Gutta
Paola Cascante-Bonilla
Donghyun Kim
Assaf Arbelle
Yikang Shen
Rogerio Feris
Z. Kira
CLL
VPVLM
VLM
332
441
0
23 Nov 2022
Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data
M. Kurmanji
Peter Triantafillou
OOD
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199
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Efficient Meta-Learning for Continual Learning with Taylor Expansion Approximation
IEEE International Joint Conference on Neural Network (IJCNN), 2022
Xiaohan Zou
Tong Lin
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144
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281
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216
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334
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