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Learning from the Past: Continual Meta-Learning via Bayesian Graph
  Modeling

Learning from the Past: Continual Meta-Learning via Bayesian Graph Modeling

12 November 2019
Yadan Luo
Zi Huang
Zheng-Wei Zhang
Ziwei Wang
Mahsa Baktashmotlagh
Yang Yang
    CLL
    BDL
ArXivPDFHTML

Papers citing "Learning from the Past: Continual Meta-Learning via Bayesian Graph Modeling"

8 / 8 papers shown
Title
Continual Learning on Graphs: A Survey
Continual Learning on Graphs: A Survey
Zonggui Tian
Duanhao Zhang
Hong-Ning Dai
57
5
0
09 Feb 2024
TyXe: Pyro-based Bayesian neural nets for Pytorch
TyXe: Pyro-based Bayesian neural nets for Pytorch
H. Ritter
Theofanis Karaletsos
OOD
MU
BDL
34
6
0
01 Oct 2021
Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph
  Convolutional Networks for Rumor Detection
Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection
Lingwei Wei
Dou Hu
Wei Zhou
Zhaojuan Yue
Songlin Hu
22
93
0
26 Jul 2021
Mitigating Generation Shifts for Generalized Zero-Shot Learning
Mitigating Generation Shifts for Generalized Zero-Shot Learning
Zhi Chen
Yadan Luo
Sen Wang
Ruihong Qiu
Jingjing Li
Zi Huang
19
25
0
07 Jul 2021
Adversarial Bipartite Graph Learning for Video Domain Adaptation
Adversarial Bipartite Graph Learning for Video Domain Adaptation
Yadan Luo
Zi Huang
Zijian Wang
Zheng-Wei Zhang
Mahsa Baktashmotlagh
24
51
0
31 Jul 2020
Bayesian Model-Agnostic Meta-Learning
Bayesian Model-Agnostic Meta-Learning
Taesup Kim
Jaesik Yoon
Ousmane Amadou Dia
Sungwoong Kim
Yoshua Bengio
Sungjin Ahn
UQCV
BDL
228
500
0
11 Jun 2018
Probabilistic Model-Agnostic Meta-Learning
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn
Kelvin Xu
Sergey Levine
BDL
178
666
0
07 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
478
11,715
0
09 Mar 2017
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