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BooVAE: Boosting Approach for Continual Learning of VAE
v1v2v3 (latest)

BooVAE: Boosting Approach for Continual Learning of VAE

Neural Information Processing Systems (NeurIPS), 2019
30 August 2019
Anna Kuzina
Evgenii Egorov
Evgeny Burnaev
    CLL
ArXiv (abs)PDFHTML

Papers citing "BooVAE: Boosting Approach for Continual Learning of VAE"

13 / 13 papers shown
The Bayesian Approach to Continual Learning: An Overview
The Bayesian Approach to Continual Learning: An Overview
Tameem Adel
CLLBDLKELM
385
3
0
11 Jul 2025
Continual learning via probabilistic exchangeable sequence modelling
Continual learning via probabilistic exchangeable sequence modelling
Hanwen Xing
Christopher Yau
CLLBDL
343
0
0
26 Mar 2025
Hierarchical VAE with a Diffusion-based VampPrior
Hierarchical VAE with a Diffusion-based VampPrior
Anna Kuzina
Jakub M. Tomczak
DiffMTPMBDL
481
5
0
02 Dec 2024
Deep evolving semi-supervised anomaly detection
Deep evolving semi-supervised anomaly detection
Jack Belham
Aryan Bhosale
Samrat Mukherjee
Biplab Banerjee
Fabio Cuzzolin
271
0
0
01 Dec 2024
C$^{2}$INet: Realizing Incremental Trajectory Prediction with
  Prior-Aware Continual Causal Intervention
C2^{2}2INet: Realizing Incremental Trajectory Prediction with Prior-Aware Continual Causal Intervention
Xiaohe Li
Feilong Huang
Zide Fan
Fangli Mou
Leilei Lin
Yingyan Hou
Lijie Wen
366
0
0
19 Nov 2024
Adapt & Align: Continual Learning with Generative Models Latent Space
  Alignment
Adapt & Align: Continual Learning with Generative Models Latent Space Alignment
Kamil Deja
Bartosz Cywiński
Jan Rybarczyk
Tomasz Trzciñski
CLLDRL
239
0
0
21 Dec 2023
Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
Catastrophic Forgetting in Deep Learning: A Comprehensive TaxonomyJournal of the Brazilian Computer Society (JBCS), 2023
Everton L. Aleixo
J. Colonna
Marco Cristo
Everlandio Fernandes
CLL
326
55
0
16 Dec 2023
Bayesian Flow Networks in Continual Learning
Bayesian Flow Networks in Continual Learning
Mateusz Pyla
Kamil Deja
Bartlomiej Twardowski
Tomasz Trzciñski
BDL
248
0
0
18 Oct 2023
Exploring Continual Learning of Diffusion Models
Exploring Continual Learning of Diffusion Models
Michal Zajac
Kamil Deja
Anna Kuzina
Jakub M. Tomczak
Tomasz Trzciñski
Florian Shkurti
Piotr Milo's
DiffM
199
18
0
27 Mar 2023
A Comprehensive Survey of Continual Learning: Theory, Method and
  Application
A Comprehensive Survey of Continual Learning: Theory, Method and ApplicationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Liyuan Wang
Xingxing Zhang
Hang Su
Jun Zhu
KELMCLL
923
1,250
0
31 Jan 2023
Continual Variational Autoencoder Learning via Online Cooperative
  Memorization
Continual Variational Autoencoder Learning via Online Cooperative MemorizationEuropean Conference on Computer Vision (ECCV), 2022
Fei Ye
A. Bors
CLL
247
22
0
20 Jul 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
386
37
0
15 Jul 2022
Multiband VAE: Latent Space Alignment for Knowledge Consolidation in
  Continual Learning
Multiband VAE: Latent Space Alignment for Knowledge Consolidation in Continual Learning
Kamil Deja
Pawel Wawrzyñski
Wojciech Masarczyk
Daniel Marczak
Tomasz Trzciñski
CLL
216
6
0
23 Jun 2021
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