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Online Structured Laplace Approximations For Overcoming Catastrophic
  Forgetting

Online Structured Laplace Approximations For Overcoming Catastrophic Forgetting

20 May 2018
H. Ritter
Aleksandar Botev
David Barber
    BDLCLL
ArXiv (abs)PDFHTML

Papers citing "Online Structured Laplace Approximations For Overcoming Catastrophic Forgetting"

50 / 231 papers shown
Title
Cold Start Streaming Learning for Deep Networks
Cold Start Streaming Learning for Deep Networks
Cameron R. Wolfe
Anastasios Kyrillidis
CLL
156
3
0
09 Nov 2022
A Theoretical Study on Solving Continual Learning
A Theoretical Study on Solving Continual LearningNeural Information Processing Systems (NeurIPS), 2022
Gyuhak Kim
Changnan Xiao
Tatsuya Konishi
Zixuan Ke
Yinan Han
CLL
185
90
0
04 Nov 2022
Black-box Coreset Variational Inference
Black-box Coreset Variational InferenceNeural Information Processing Systems (NeurIPS), 2022
Dionysis Manousakas
H. Ritter
Theofanis Karaletsos
BDL
206
4
0
04 Nov 2022
HesScale: Scalable Computation of Hessian Diagonals
HesScale: Scalable Computation of Hessian Diagonals
Mohamed Elsayed
A. R. Mahmood
211
9
0
20 Oct 2022
Task-Free Continual Learning via Online Discrepancy Distance Learning
Task-Free Continual Learning via Online Discrepancy Distance LearningNeural Information Processing Systems (NeurIPS), 2022
Fei Ye
A. Bors
CLL
294
31
0
12 Oct 2022
On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning
On the Effectiveness of Lipschitz-Driven Rehearsal in Continual LearningNeural Information Processing Systems (NeurIPS), 2022
Lorenzo Bonicelli
Matteo Boschini
Angelo Porrello
C. Spampinato
Simone Calderara
CLL
205
57
0
12 Oct 2022
Efficient Bayesian Updates for Deep Learning via Laplace Approximations
Efficient Bayesian Updates for Deep Learning via Laplace Approximations
Denis Huseljic
M. Herde
Lukas Rauch
Paul Hahn
Zhixin Huang
D. Kottke
S. Vogt
Bernhard Sick
BDL
223
0
0
12 Oct 2022
Efficient Meta-Learning for Continual Learning with Taylor Expansion
  Approximation
Efficient Meta-Learning for Continual Learning with Taylor Expansion ApproximationIEEE International Joint Conference on Neural Network (IJCNN), 2022
Xiaohan Zou
Tong Lin
CLL
128
3
0
03 Oct 2022
Continuous QA Learning with Structured Prompts
Yinhe Zheng
CLL
464
1
0
31 Aug 2022
SCALE: Online Self-Supervised Lifelong Learning without Prior Knowledge
SCALE: Online Self-Supervised Lifelong Learning without Prior Knowledge
Xiaofan Yu
Yunhui Guo
Sicun Gao
Tajana Simunic
CLLSSL
320
21
0
24 Aug 2022
A Multi-Head Model for Continual Learning via Out-of-Distribution Replay
A Multi-Head Model for Continual Learning via Out-of-Distribution Replay
Gyuhak Kim
Zixuan Ke
Yinan Han
VLMCLLOODD
165
41
0
20 Aug 2022
DLCFT: Deep Linear Continual Fine-Tuning for General Incremental
  Learning
DLCFT: Deep Linear Continual Fine-Tuning for General Incremental LearningEuropean Conference on Computer Vision (ECCV), 2022
Hyounguk Shon
Janghyeon Lee
Seungwook Kim
Junmo Kim
CLL
101
15
0
17 Aug 2022
On the Limitations of Continual Learning for Malware Classification
On the Limitations of Continual Learning for Malware Classification
Mohammad Saidur Rahman
Scott E. Coull
M. Wright
96
23
0
13 Aug 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on
  Continual Learning and Functional Composition
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
KELMCLL
257
35
0
15 Jul 2022
Modular Lifelong Reinforcement Learning via Neural Composition
Modular Lifelong Reinforcement Learning via Neural CompositionInternational Conference on Learning Representations (ICLR), 2022
Jorge Armando Mendez Mendez
H. V. Seijen
Eric Eaton
OffRLKELMCLL
263
49
0
01 Jul 2022
SYNERgy between SYNaptic consolidation and Experience Replay for general
  continual learning
SYNERgy between SYNaptic consolidation and Experience Replay for general continual learning
F. Sarfraz
Elahe Arani
Bahram Zonooz
CLL
169
14
0
08 Jun 2022
Cross-lingual Lifelong Learning
Cross-lingual Lifelong LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Meryem M'hamdi
Xiang Ren
Jonathan May
CLL
192
13
0
23 May 2022
Posterior Refinement Improves Sample Efficiency in Bayesian Neural
  Networks
Posterior Refinement Improves Sample Efficiency in Bayesian Neural NetworksNeural Information Processing Systems (NeurIPS), 2022
Agustinus Kristiadi
Runa Eschenhagen
Philipp Hennig
BDL
210
15
0
20 May 2022
Learning Representations for New Sound Classes With Continual
  Self-Supervised Learning
Learning Representations for New Sound Classes With Continual Self-Supervised LearningIEEE Signal Processing Letters (SPL), 2022
Zhepei Wang
Cem Subakan
Xilin Jiang
Junkai Wu
Efthymios Tzinis
Mirco Ravanelli
Paris Smaragdis
CLLSSL
242
20
0
15 May 2022
Task-specific Compression for Multi-task Language Models using
  Attribution-based Pruning
Task-specific Compression for Multi-task Language Models using Attribution-based PruningFindings (Findings), 2022
Nakyeong Yang
Yunah Jang
Hwanhee Lee
Seohyeong Jung
Kyomin Jung
139
10
0
09 May 2022
Continual Normalization: Rethinking Batch Normalization for Online
  Continual Learning
Continual Normalization: Rethinking Batch Normalization for Online Continual LearningInternational Conference on Learning Representations (ICLR), 2022
Quang Pham
Chenghao Liu
Guosheng Lin
BDLOnRL
164
66
0
30 Mar 2022
Towards Exemplar-Free Continual Learning in Vision Transformers: an
  Account of Attention, Functional and Weight Regularization
Towards Exemplar-Free Continual Learning in Vision Transformers: an Account of Attention, Functional and Weight Regularization
Francesco Pelosin
Saurav Jha
A. Torsello
Bogdan Raducanu
Joost van de Weijer
CLL
298
38
0
24 Mar 2022
Online Continual Learning for Embedded Devices
Online Continual Learning for Embedded Devices
Tyler L. Hayes
Christopher Kanan
CLL
270
64
0
21 Mar 2022
Continual Learning Based on OOD Detection and Task Masking
Continual Learning Based on OOD Detection and Task Masking
Gyuhak Kim
Sepideh Esmaeilpour
Changnan Xiao
Bing-Quan Liu
OODDCLL
152
24
0
17 Mar 2022
Continual Few-shot Relation Learning via Embedding Space Regularization
  and Data Augmentation
Continual Few-shot Relation Learning via Embedding Space Regularization and Data AugmentationAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Chengwei Qin
Shafiq Joty
BDLCLL
217
44
0
04 Mar 2022
Continual Feature Selection: Spurious Features in Continual Learning
Continual Feature Selection: Spurious Features in Continual Learning
Timothée Lesort
CLL
211
10
0
02 Mar 2022
TRGP: Trust Region Gradient Projection for Continual Learning
TRGP: Trust Region Gradient Projection for Continual LearningInternational Conference on Learning Representations (ICLR), 2022
Sen Lin
Li Yang
Deliang Fan
Junshan Zhang
CLL
279
95
0
07 Feb 2022
Learning Fast, Learning Slow: A General Continual Learning Method based
  on Complementary Learning System
Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Learning SystemInternational Conference on Learning Representations (ICLR), 2022
Elahe Arani
F. Sarfraz
Bahram Zonooz
CLL
279
160
0
29 Jan 2022
Continual Learning with Recursive Gradient Optimization
Continual Learning with Recursive Gradient OptimizationInternational Conference on Learning Representations (ICLR), 2022
Hao Liu
Huaping Liu
VLMCLL
227
46
0
29 Jan 2022
Gradient Descent on Neurons and its Link to Approximate Second-Order
  Optimization
Gradient Descent on Neurons and its Link to Approximate Second-Order OptimizationInternational Conference on Machine Learning (ICML), 2022
Frederik Benzing
ODL
268
29
0
28 Jan 2022
Provable Continual Learning via Sketched Jacobian Approximations
Provable Continual Learning via Sketched Jacobian Approximations
Reinhard Heckel
CLL
174
11
0
09 Dec 2021
Efficient Online Bayesian Inference for Neural Bandits
Efficient Online Bayesian Inference for Neural Bandits
Gerardo Duran-Martín
Aleyna Kara
Kevin Patrick Murphy
BDL
143
18
0
01 Dec 2021
Non-IID data and Continual Learning processes in Federated Learning: A
  long road ahead
Non-IID data and Continual Learning processes in Federated Learning: A long road aheadInformation Fusion (Inf. Fusion), 2021
Marcos F. Criado
F. Casado
R. Iglesias
Carlos V. Regueiro
S. Barro
FedML
154
105
0
26 Nov 2021
FFNB: Forgetting-Free Neural Blocks for Deep Continual Visual Learning
FFNB: Forgetting-Free Neural Blocks for Deep Continual Visual LearningBritish Machine Vision Conference (BMVC), 2021
H. Sahbi
Haoming Zhan
AI4CE
78
3
0
22 Nov 2021
Kronecker Factorization for Preventing Catastrophic Forgetting in
  Large-scale Medical Entity Linking
Kronecker Factorization for Preventing Catastrophic Forgetting in Large-scale Medical Entity Linking
Denis Jered McInerney
Luyang Kong
Kristjan Arumae
Byron C. Wallace
Parminder Bhatia
CLL
126
1
0
11 Nov 2021
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent
  Advances and Applications
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications
Xinlei Zhou
Han Liu
Farhad Pourpanah
T. Zeng
Xizhao Wang
UQCVUD
290
73
0
03 Nov 2021
Behavioral Experiments for Understanding Catastrophic Forgetting
Behavioral Experiments for Understanding Catastrophic Forgetting
Samuel J. Bell
Neil D. Lawrence
204
4
0
20 Oct 2021
Flattening Sharpness for Dynamic Gradient Projection Memory Benefits
  Continual Learning
Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual LearningNeural Information Processing Systems (NeurIPS), 2021
Danruo Deng
Guangyong Chen
Jianye Hao
Qiong Wang
Pheng-Ann Heng
CLLAAML
118
98
0
09 Oct 2021
Kalman Bayesian Neural Networks for Closed-form Online Learning
Kalman Bayesian Neural Networks for Closed-form Online Learning
Philipp Wagner
Xinyang Wu
Marco F. Huber
BDL
101
19
0
03 Oct 2021
GROWN: GRow Only When Necessary for Continual Learning
GROWN: GRow Only When Necessary for Continual Learning
Li Yang
Sen Lin
Junshan Zhang
Deliang Fan
CLL
176
13
0
03 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
337
57
0
01 Oct 2021
DualNet: Continual Learning, Fast and Slow
DualNet: Continual Learning, Fast and Slow
Quang Pham
Chenghao Liu
Guosheng Lin
CLL
251
49
0
01 Oct 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
426
96
0
23 Sep 2021
Total Recall: a Customized Continual Learning Method for Neural Semantic
  Parsers
Total Recall: a Customized Continual Learning Method for Neural Semantic Parsers
Zhuang Li
Zhuang Li
Gholamreza Haffari
CLL
221
15
0
11 Sep 2021
Unified Regularity Measures for Sample-wise Learning and Generalization
Unified Regularity Measures for Sample-wise Learning and Generalization
Chi Zhang
Xiaoning Ma
Yu Liu
Le Wang
Yuanqi Su
Yuehu Liu
172
4
0
09 Aug 2021
Towards Zero-shot Language Modeling
Towards Zero-shot Language ModelingConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Edoardo Ponti
Ivan Vulić
Robert Bamler
Roi Reichart
Anna Korhonen
127
19
0
06 Aug 2021
Kernel Continual Learning
Kernel Continual Learning
Mohammad Mahdi Derakhshani
Xiantong Zhen
Ling Shao
Cees G. M. Snoek
CLLBDLVLM
212
41
0
12 Jul 2021
Lifelong Mixture of Variational Autoencoders
Lifelong Mixture of Variational AutoencodersIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Fei Ye
A. Bors
DRL
111
32
0
09 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
667
384
0
28 Jun 2021
Knowledge-Adaptation Priors
Knowledge-Adaptation Priors
Mohammad Emtiyaz Khan
S. Swaroop
BDLVLMODL
172
29
0
16 Jun 2021
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