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1901.11356
Cited By
Functional Regularisation for Continual Learning with Gaussian Processes
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"
46 / 46 papers shown
Title
Improvements of Dark Experience Replay and Reservoir Sampling towards Better Balance between Consolidation and Plasticity
Taisuke Kobayashi
CLL
41
0
0
29 Apr 2025
Mitigating Catastrophic Forgetting in the Incremental Learning of Medical Images
Sara Yavari
Jacob Furst
CLL
58
0
0
28 Apr 2025
Temporal-Difference Variational Continual Learning
Luckeciano C. Melo
Alessandro Abate
Yarin Gal
BDL
CLL
VLM
46
0
0
10 Oct 2024
Structural-Entropy-Based Sample Selection for Efficient and Effective Learning
Tianchi Xie
Jiangning Zhu
Guozu Ma
Minzhi Lin
Wei Chen
Weikai Yang
Shixia Liu
33
0
0
03 Oct 2024
Infinite dSprites for Disentangled Continual Learning: Separating Memory Edits from Generalization
Sebastian Dziadzio
cCaugatay Yildiz
Gido M. van de Ven
Tomasz Trzciñski
Tinne Tuytelaars
Matthias Bethge
27
1
0
27 Dec 2023
Federated Transformed Learning for a Circular, Secure, and Tiny AI
Weisi Guo
S. Sun
Bin Li
Sam Blakeman
27
0
0
24 Nov 2023
Two Complementary Perspectives to Continual Learning: Ask Not Only What to Optimize, But Also How
Timm Hess
Tinne Tuytelaars
Gido M. van de Ven
44
7
0
08 Nov 2023
Memory-Based Dual Gaussian Processes for Sequential Learning
Paul E. Chang
Prakhar Verma
S. T. John
Arno Solin
Mohammad Emtiyaz Khan
GP
25
4
0
06 Jun 2023
How Efficient Are Today's Continual Learning Algorithms?
Md Yousuf Harun
Jhair Gallardo
Tyler L. Hayes
Christopher Kanan
24
24
0
29 Mar 2023
Task-Attentive Transformer Architecture for Continual Learning of Vision-and-Language Tasks Using Knowledge Distillation
Yuliang Cai
Jesse Thomason
Mohammad Rostami
VLM
CLL
19
11
0
25 Mar 2023
Efficient Parametric Approximations of Neural Network Function Space Distance
Nikita Dhawan
Sicong Huang
Juhan Bae
Roger C. Grosse
16
5
0
07 Feb 2023
On Sequential Bayesian Inference for Continual Learning
Samuel Kessler
Adam D. Cobb
Tim G. J. Rudner
S. Zohren
Stephen J. Roberts
CLL
BDL
64
6
0
04 Jan 2023
Efficient Meta-Learning for Continual Learning with Taylor Expansion Approximation
Xiaohan Zou
Tong Lin
CLL
29
2
0
03 Oct 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition
Jorge Armando Mendez Mendez
Eric Eaton
KELM
CLL
32
27
0
15 Jul 2022
Consistency is the key to further mitigating catastrophic forgetting in continual learning
Prashant Shivaram Bhat
Bahram Zonooz
Elahe Arani
CLL
32
16
0
11 Jul 2022
Memory-efficient Reinforcement Learning with Value-based Knowledge Consolidation
Qingfeng Lan
Yangchen Pan
Jun Luo
A. R. Mahmood
OffRL
29
7
0
22 May 2022
Incremental Learning with Differentiable Architecture and Forgetting Search
James Smith
Zachary Seymour
Han-Pang Chiu
OOD
CLL
AI4CE
42
4
0
19 May 2022
A Closer Look at Rehearsal-Free Continual Learning
James Smith
Junjiao Tian
Shaunak Halbe
Yen-Chang Hsu
Z. Kira
VLM
CLL
26
60
0
31 Mar 2022
Generative Kernel Continual learning
Mohammad Mahdi Derakhshani
Xiantong Zhen
Ling Shao
Cees G. M. Snoek
BDL
VLM
41
0
0
26 Dec 2021
Powerpropagation: A sparsity inducing weight reparameterisation
Jonathan Richard Schwarz
Siddhant M. Jayakumar
Razvan Pascanu
P. Latham
Yee Whye Teh
92
54
0
01 Oct 2021
Data Summarization via Bilevel Optimization
Zalan Borsos
Mojmír Mutný
Marco Tagliasacchi
Andreas Krause
30
8
0
26 Sep 2021
Recent Advances of Continual Learning in Computer Vision: An Overview
Haoxuan Qu
Hossein Rahmani
Li Xu
Bryan M. Williams
Jun Liu
VLM
CLL
25
73
0
23 Sep 2021
Lifelong Infinite Mixture Model Based on Knowledge-Driven Dirichlet Process
Fei Ye
A. Bors
CLL
21
18
0
25 Aug 2021
Laplace Redux -- Effortless Bayesian Deep Learning
Erik A. Daxberger
Agustinus Kristiadi
Alexander Immer
Runa Eschenhagen
Matthias Bauer
Philipp Hennig
BDL
UQCV
58
289
0
28 Jun 2021
Task-agnostic Continual Learning with Hybrid Probabilistic Models
Polina Kirichenko
Mehrdad Farajtabar
Dushyant Rao
Balaji Lakshminarayanan
Nir Levine
Ang Li
Huiyi Hu
A. Wilson
Razvan Pascanu
VLM
BDL
CLL
27
19
0
24 Jun 2021
Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning
James Smith
Yen-Chang Hsu
John C. Balloch
Yilin Shen
Hongxia Jin
Z. Kira
CLL
60
162
0
17 Jun 2021
Natural continual learning: success is a journey, not (just) a destination
Ta-Chu Kao
Kristopher T. Jensen
Gido M. van de Ven
A. Bernacchia
Guillaume Hennequin
CLL
23
46
0
15 Jun 2021
Same State, Different Task: Continual Reinforcement Learning without Interference
Samuel Kessler
Jack Parker-Holder
Philip J. Ball
S. Zohren
Stephen J. Roberts
CLL
OffRL
19
46
0
05 Jun 2021
Replay in Deep Learning: Current Approaches and Missing Biological Elements
Tyler L. Hayes
G. Krishnan
M. Bazhenov
H. Siegelmann
T. Sejnowski
Christopher Kanan
CLL
38
130
0
01 Apr 2021
Posterior Meta-Replay for Continual Learning
Christian Henning
Maria R. Cervera
Francesco DÁngelo
J. Oswald
Regina Traber
Benjamin Ehret
Seijin Kobayashi
Benjamin Grewe
João Sacramento
CLL
BDL
51
55
0
01 Mar 2021
Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping
Prakhar Kaushik
Alex Gain
Adam Kortylewski
Alan Yuille
CLL
11
68
0
22 Feb 2021
Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online Learning
Aodong Li
Alex Boyd
Padhraic Smyth
Stephan Mandt
15
21
0
15 Dec 2020
Energy-Based Models for Continual Learning
Shuang Li
Yilun Du
Gido M. van de Ven
Igor Mordatch
27
42
0
24 Nov 2020
Continual Learning in Low-rank Orthogonal Subspaces
Arslan Chaudhry
Naeemullah Khan
P. Dokania
Philip Torr
CLL
33
114
0
22 Oct 2020
Linear Mode Connectivity in Multitask and Continual Learning
Seyed Iman Mirzadeh
Mehrdad Farajtabar
Dilan Görür
Razvan Pascanu
H. Ghasemzadeh
CLL
37
139
0
09 Oct 2020
Continual Model-Based Reinforcement Learning with Hypernetworks
Yizhou Huang
Kevin Xie
Homanga Bharadhwaj
Florian Shkurti
CLL
22
46
0
25 Sep 2020
Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting
Jorge Armando Mendez Mendez
Boyu Wang
Eric Eaton
CLL
36
38
0
14 Jul 2020
Graph-Based Continual Learning
Binh Tang
David S. Matteson
BDL
CLL
29
37
0
09 Jul 2020
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes
Mengdi Xu
Wenhao Ding
Jiacheng Zhu
Zuxin Liu
Baiming Chen
Ding Zhao
CLL
OffRL
28
34
0
19 Jun 2020
Understanding the Role of Training Regimes in Continual Learning
Seyed Iman Mirzadeh
Mehrdad Farajtabar
Razvan Pascanu
H. Ghasemzadeh
CLL
21
219
0
12 Jun 2020
Learning to Learn Kernels with Variational Random Features
Xiantong Zhen
Hao Sun
Yingjun Du
Jun Xu
Yilong Yin
Ling Shao
Cees G. M. Snoek
DRL
27
34
0
11 Jun 2020
Optimal Continual Learning has Perfect Memory and is NP-hard
Jeremias Knoblauch
Hisham Husain
Tom Diethe
CLL
29
104
0
09 Jun 2020
Coresets via Bilevel Optimization for Continual Learning and Streaming
Zalan Borsos
Mojmír Mutný
Andreas Krause
CLL
38
226
0
06 Jun 2020
Federated Continual Learning with Weighted Inter-client Transfer
Jaehong Yoon
Wonyoung Jeong
Giwoong Lee
Eunho Yang
Sung Ju Hwang
FedML
40
199
0
06 Mar 2020
Using Hindsight to Anchor Past Knowledge in Continual Learning
Arslan Chaudhry
Albert Gordo
P. Dokania
Philip Torr
David Lopez-Paz
KELM
CLL
21
234
0
19 Feb 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
389
11,700
0
09 Mar 2017
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