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Functional Regularisation for Continual Learning with Gaussian Processes
v1v2v3v4 (latest)

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
    CLLBDL
ArXiv (abs)PDFHTML

Papers citing "Functional Regularisation for Continual Learning with Gaussian Processes"

50 / 106 papers shown
Continual Learning Beyond a Single Model
Continual Learning Beyond a Single Model
T. Doan
Seyed Iman Mirzadeh
Mehrdad Farajtabar
CLL
349
22
0
20 Feb 2022
Continually Learning Self-Supervised Representations with Projected
  Functional Regularization
Continually Learning Self-Supervised Representations with Projected Functional Regularization
Alex Gomez-Villa
Bartlomiej Twardowski
Lu Yu
Andrew D. Bagdanov
Joost van de Weijer
CLLSSL
251
47
0
30 Dec 2021
Generative Kernel Continual learning
Generative Kernel Continual learning
Mohammad Mahdi Derakhshani
Xiantong Zhen
Ling Shao
Cees G. M. Snoek
BDLVLM
101
0
0
26 Dec 2021
Conditioning Sparse Variational Gaussian Processes for Online
  Decision-making
Conditioning Sparse Variational Gaussian Processes for Online Decision-makingNeural Information Processing Systems (NeurIPS), 2021
Wesley J. Maddox
Samuel Stanton
A. Wilson
206
37
0
28 Oct 2021
Modular Gaussian Processes for Transfer Learning
Modular Gaussian Processes for Transfer Learning
P. Moreno-Muñoz
Antonio Artés-Rodríguez
Mauricio A. Alvarez
128
6
0
26 Oct 2021
Wide Neural Networks Forget Less Catastrophically
Wide Neural Networks Forget Less CatastrophicallyInternational Conference on Machine Learning (ICML), 2021
Seyed Iman Mirzadeh
Arslan Chaudhry
Dong Yin
Huiyi Hu
Razvan Pascanu
Dilan Görür
Mehrdad Farajtabar
CLL
326
77
0
21 Oct 2021
Powerpropagation: A sparsity inducing weight reparameterisation
Powerpropagation: A sparsity inducing weight reparameterisation
Jonathan Richard Schwarz
Siddhant M. Jayakumar
Razvan Pascanu
P. Latham
Yee Whye Teh
380
58
0
01 Oct 2021
Formalizing the Generalization-Forgetting Trade-off in Continual
  Learning
Formalizing the Generalization-Forgetting Trade-off in Continual Learning
Krishnan Raghavan
Dali Wang
CLL
202
37
0
28 Sep 2021
Data Summarization via Bilevel Optimization
Data Summarization via Bilevel OptimizationJournal of machine learning research (JMLR), 2021
Zalan Borsos
Mojmír Mutný
Marco Tagliasacchi
Andreas Krause
201
10
0
26 Sep 2021
Recent Advances of Continual Learning in Computer Vision: An Overview
Recent Advances of Continual Learning in Computer Vision: An OverviewIET Computer Vision (ICV), 2021
Haoxuan Qu
Hossein Rahmani
Kepeng Xu
Bryan M. Williams
Jun Liu
VLMCLL
515
98
0
23 Sep 2021
Lifelong Infinite Mixture Model Based on Knowledge-Driven Dirichlet
  Process
Lifelong Infinite Mixture Model Based on Knowledge-Driven Dirichlet ProcessIEEE International Conference on Computer Vision (ICCV), 2021
Fei Ye
A. Bors
CLL
155
23
0
25 Aug 2021
Kernel Continual Learning
Kernel Continual Learning
Mohammad Mahdi Derakhshani
Xiantong Zhen
Ling Shao
Cees G. M. Snoek
CLLBDLVLM
217
41
0
12 Jul 2021
Laplace Redux -- Effortless Bayesian Deep Learning
Laplace Redux -- Effortless Bayesian Deep LearningNeural Information Processing Systems (NeurIPS), 2021
Erik A. Daxberger
Agustinus Kristiadi
Alexander Immer
Runa Eschenhagen
Matthias Bauer
Philipp Hennig
BDLUQCV
678
390
0
28 Jun 2021
Task-agnostic Continual Learning with Hybrid Probabilistic Models
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
VLMBDLCLL
135
22
0
24 Jun 2021
Always Be Dreaming: A New Approach for Data-Free Class-Incremental
  Learning
Always Be Dreaming: A New Approach for Data-Free Class-Incremental LearningIEEE International Conference on Computer Vision (ICCV), 2021
James Smith
Yen-Chang Hsu
John C. Balloch
Yilin Shen
Hongxia Jin
Z. Kira
CLL
375
198
0
17 Jun 2021
Knowledge-Adaptation Priors
Knowledge-Adaptation Priors
Mohammad Emtiyaz Khan
S. Swaroop
BDLVLMODL
190
29
0
16 Jun 2021
Natural continual learning: success is a journey, not (just) a
  destination
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
232
58
0
15 Jun 2021
Model Zoo: A Growing "Brain" That Learns Continually
Model Zoo: A Growing "Brain" That Learns ContinuallyInternational Conference on Learning Representations (ICLR), 2021
Rahul Ramesh
Pratik Chaudhari
CLLFedML
289
76
0
06 Jun 2021
Same State, Different Task: Continual Reinforcement Learning without
  Interference
Same State, Different Task: Continual Reinforcement Learning without InterferenceAAAI Conference on Artificial Intelligence (AAAI), 2021
Samuel Kessler
Jack Parker-Holder
Philip J. Ball
S. Zohren
Stephen J. Roberts
CLLOffRL
243
54
0
05 Jun 2021
Online Coreset Selection for Rehearsal-based Continual Learning
Online Coreset Selection for Rehearsal-based Continual LearningInternational Conference on Learning Representations (ICLR), 2021
Jaehong Yoon
Divyam Madaan
Eunho Yang
Sung Ju Hwang
CLL
393
173
0
02 Jun 2021
Replay in Deep Learning: Current Approaches and Missing Biological
  Elements
Replay in Deep Learning: Current Approaches and Missing Biological ElementsNeural Computation (Neural Comput.), 2021
Tyler L. Hayes
G. Krishnan
M. Bazhenov
H. Siegelmann
T. Sejnowski
Christopher Kanan
CLL
236
139
0
01 Apr 2021
Domain-Incremental Continual Learning for Mitigating Bias in Facial
  Expression and Action Unit Recognition
Domain-Incremental Continual Learning for Mitigating Bias in Facial Expression and Action Unit RecognitionIEEE Transactions on Affective Computing (TAC), 2021
Nikhil Churamani
Ozgur Kara
Hatice Gunes
159
52
0
15 Mar 2021
Posterior Meta-Replay for Continual Learning
Posterior Meta-Replay for Continual LearningNeural Information Processing Systems (NeurIPS), 2021
Christian Henning
Maria R. Cervera
Francesco DÁngelo
J. Oswald
Regina Traber
Benjamin Ehret
Seijin Kobayashi
Benjamin Grewe
João Sacramento
CLLBDL
503
72
0
01 Mar 2021
Understanding Catastrophic Forgetting and Remembering in Continual
  Learning with Optimal Relevance Mapping
Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping
Prakhar Kaushik
Alex Gain
Adam Kortylewski
Alan Yuille
CLL
169
77
0
22 Feb 2021
GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning
GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental LearningInternational Conference on Machine Learning (ICML), 2021
Idan Achituve
Aviv Navon
Yochai Yemini
Gal Chechik
Ethan Fetaya
GP
290
40
0
15 Feb 2021
Reducing the Amortization Gap in Variational Autoencoders: A Bayesian
  Random Function Approach
Reducing the Amortization Gap in Variational Autoencoders: A Bayesian Random Function Approach
Minyoung Kim
Vladimir Pavlovic
BDL
230
6
0
05 Feb 2021
Memory-Efficient Semi-Supervised Continual Learning: The World is its
  Own Replay Buffer
Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay BufferIEEE International Joint Conference on Neural Network (IJCNN), 2021
James Smith
Jonathan C. Balloch
Yen-Chang Hsu
Z. Kira
CLL
472
46
0
23 Jan 2021
Detecting and Adapting to Irregular Distribution Shifts in Bayesian
  Online Learning
Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online LearningNeural Information Processing Systems (NeurIPS), 2020
Aodong Li
Alex Boyd
Padhraic Smyth
Stephan Mandt
465
30
0
15 Dec 2020
Energy-Based Models for Continual Learning
Energy-Based Models for Continual Learning
Shuang Li
Yilun Du
Gido M. van de Ven
Igor Mordatch
256
46
0
24 Nov 2020
A Review of Uncertainty Quantification in Deep Learning: Techniques,
  Applications and Challenges
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and ChallengesInformation Fusion (Inf. Fusion), 2020
Moloud Abdar
Farhad Pourpanah
Sadiq Hussain
Dana Rezazadegan
Tianpeng Liu
...
Xiaochun Cao
Abbas Khosravi
U. Acharya
V. Makarenkov
S. Nahavandi
BDLUQCV
953
2,283
0
12 Nov 2020
Class-incremental learning: survey and performance evaluation on image
  classification
Class-incremental learning: survey and performance evaluation on image classificationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Marc Masana
Xialei Liu
Bartlomiej Twardowski
Mikel Menta
Andrew D. Bagdanov
Joost van de Weijer
CLL
428
807
0
28 Oct 2020
Continual Learning in Low-rank Orthogonal Subspaces
Continual Learning in Low-rank Orthogonal Subspaces
Arslan Chaudhry
Naeemullah Khan
P. Dokania
Juil Sock
CLL
307
148
0
22 Oct 2020
Class-incremental Learning with Pre-allocated Fixed Classifiers
Class-incremental Learning with Pre-allocated Fixed ClassifiersInternational Conference on Pattern Recognition (ICPR), 2020
F. Pernici
Matteo Bruni
C. Baecchi
F. Turchini
Marco Bertini
CLL
364
42
0
16 Oct 2020
Linear Mode Connectivity in Multitask and Continual Learning
Linear Mode Connectivity in Multitask and Continual LearningInternational Conference on Learning Representations (ICLR), 2020
Seyed Iman Mirzadeh
Mehrdad Farajtabar
Dilan Görür
Razvan Pascanu
H. Ghasemzadeh
CLL
289
168
0
09 Oct 2020
Recyclable Gaussian Processes
Recyclable Gaussian Processes
P. Moreno-Muñoz
Antonio Artés-Rodríguez
Mauricio A. Alvarez
BDL
110
1
0
06 Oct 2020
Meta-Consolidation for Continual Learning
Meta-Consolidation for Continual LearningNeural Information Processing Systems (NeurIPS), 2020
K. J. Joseph
V. Balasubramanian
CLL
164
59
0
01 Oct 2020
Continual Model-Based Reinforcement Learning with Hypernetworks
Continual Model-Based Reinforcement Learning with HypernetworksIEEE International Conference on Robotics and Automation (ICRA), 2020
Yizhou Huang
Kevin Xie
Homanga Bharadhwaj
Florian Shkurti
CLL
174
61
0
25 Sep 2020
Lifelong Policy Gradient Learning of Factored Policies for Faster
  Training Without Forgetting
Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without ForgettingNeural Information Processing Systems (NeurIPS), 2020
Jorge Armando Mendez Mendez
Boyu Wang
Eric Eaton
CLL
179
42
0
14 Jul 2020
Graph-Based Continual Learning
Graph-Based Continual LearningInternational Conference on Learning Representations (ICLR), 2020
Binh Tang
David S. Matteson
BDLCLL
213
40
0
09 Jul 2020
MgSvF: Multi-Grained Slow vs. Fast Framework for Few-Shot
  Class-Incremental Learning
MgSvF: Multi-Grained Slow vs. Fast Framework for Few-Shot Class-Incremental Learning
Hanbin Zhao
Yongjian Fu
Mintong Kang
Qi Tian
Leilei Gan
Xi Li
CLL
487
135
0
28 Jun 2020
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of
  Gaussian Processes
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes
Mengdi Xu
Wenhao Ding
Jiacheng Zhu
Zuxin Liu
Baiming Chen
Ding Zhao
CLLOffRL
292
36
0
19 Jun 2020
Optimization and Generalization of Regularization-Based Continual
  Learning: a Loss Approximation Viewpoint
Optimization and Generalization of Regularization-Based Continual Learning: a Loss Approximation Viewpoint
Dong Yin
Mehrdad Farajtabar
Ang Li
Nir Levine
Alex Mott
CLL
204
22
0
19 Jun 2020
Understanding the Role of Training Regimes in Continual Learning
Understanding the Role of Training Regimes in Continual LearningNeural Information Processing Systems (NeurIPS), 2020
Seyed Iman Mirzadeh
Mehrdad Farajtabar
Razvan Pascanu
H. Ghasemzadeh
CLL
253
263
0
12 Jun 2020
Learning to Learn Kernels with Variational Random Features
Learning to Learn Kernels with Variational Random FeaturesInternational Conference on Machine Learning (ICML), 2020
Xiantong Zhen
Hao Sun
Yingjun Du
Jun Xu
Yilong Yin
Ling Shao
Cees G. M. Snoek
DRL
219
34
0
11 Jun 2020
Variational Auto-Regressive Gaussian Processes for Continual Learning
Variational Auto-Regressive Gaussian Processes for Continual Learning
Sanyam Kapoor
Theofanis Karaletsos
T. Bui
BDL
182
29
0
09 Jun 2020
Optimal Continual Learning has Perfect Memory and is NP-hard
Optimal Continual Learning has Perfect Memory and is NP-hard
Jeremias Knoblauch
Hisham Husain
Tom Diethe
CLL
268
111
0
09 Jun 2020
Coresets via Bilevel Optimization for Continual Learning and Streaming
Coresets via Bilevel Optimization for Continual Learning and Streaming
Zalan Borsos
Mojmír Mutný
Andreas Krause
CLL
341
278
0
06 Jun 2020
Continual Deep Learning by Functional Regularisation of Memorable Past
Continual Deep Learning by Functional Regularisation of Memorable PastNeural Information Processing Systems (NeurIPS), 2020
Pingbo Pan
S. Swaroop
Alexander Immer
Runa Eschenhagen
Richard Turner
Mohammad Emtiyaz Khan
KELMCLL
356
163
0
29 Apr 2020
Lifelong Learning Process: Self-Memory Supervising and Dynamically
  Growing Networks
Lifelong Learning Process: Self-Memory Supervising and Dynamically Growing Networks
You-Cheng Huang
Tangchen Wei
Jundong Zhou
Chunxin Yang
CLL
42
0
0
27 Apr 2020
FoCL: Feature-Oriented Continual Learning for Generative Models
FoCL: Feature-Oriented Continual Learning for Generative ModelsPattern Recognition (Pattern Recognit.), 2020
Qicheng Lao
Mehrzad Mortazavi
Marzieh S. Tahaei
Francis Dutil
T. Fevens
Mohammad Havaei
CLL
122
15
0
09 Mar 2020
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