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The Neural Process Family: Survey, Applications and Perspectives

The Neural Process Family: Survey, Applications and Perspectives

1 September 2022
Saurav Jha
Dong Gong
Xuesong Wang
Richard E. Turner
L. Yao
    BDL
ArXivPDFHTML

Papers citing "The Neural Process Family: Survey, Applications and Perspectives"

16 / 16 papers shown
Title
Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes
Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes
Jie Liu
Pan Zhou
Zehao Xiao
Jiayi Shen
Wenzhe Yin
J. Sonke
E. Gavves
25
0
0
03 May 2025
Conditional Temporal Neural Processes with Covariance Loss
Conditional Temporal Neural Processes with Covariance Loss
Boseon Yoo
Jiwoo Lee
Janghoon Ju
Seijun Chung
Soyeon Kim
Jaesik Choi
68
15
0
01 Apr 2025
Rényi Neural Processes
Rényi Neural Processes
Xuesong Wang
He Zhao
Edwin V. Bonilla
UQCV
BDL
25
0
0
25 May 2024
NP-Match: When Neural Processes meet Semi-Supervised Learning
NP-Match: When Neural Processes meet Semi-Supervised Learning
Jianfeng Wang
Thomas Lukasiewicz
Daniela Massiceti
Xiaolin Hu
Vladimir Pavlovic
A. Neophytou
BDL
57
41
0
03 Jul 2022
A Meta Reinforcement Learning Approach for Predictive Autoscaling in the
  Cloud
A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud
Siqiao Xue
C. Qu
X. Shi
Cong Liao
Shiyi Zhu
...
Yun Hu
Lei Lei
Yang Zheng
Jianguo Li
James Y. Zhang
49
36
0
31 May 2022
Meta-Learning Regrasping Strategies for Physical-Agnostic Objects
Meta-Learning Regrasping Strategies for Physical-Agnostic Objects
Ni Gao
Jingyu Zhang
Ruijie Chen
Ngo Anh Vien
Hanna Ziesche
Gerhard Neumann
27
10
0
23 May 2022
How Neural Processes Improve Graph Link Prediction
How Neural Processes Improve Graph Link Prediction
Huidong Liang
Junbin Gao
AI4CE
12
13
0
30 Sep 2021
Group Equivariant Conditional Neural Processes
Group Equivariant Conditional Neural Processes
M. Kawano
Wataru Kumagai
Akiyoshi Sannai
Yusuke Iwasawa
Y. Matsuo
BDL
45
19
0
17 Feb 2021
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse
  in Imbalanced Training
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse in Imbalanced Training
Cong Fang
Hangfeng He
Qi Long
Weijie J. Su
FAtt
117
162
0
29 Jan 2021
Bayesian Attention Modules
Bayesian Attention Modules
Xinjie Fan
Shujian Zhang
Bo Chen
Mingyuan Zhou
104
59
0
20 Oct 2020
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates
Lingkai Kong
Jimeng Sun
Chao Zhang
UQCV
42
101
0
24 Aug 2020
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting
Sergio Casas
Cole Gulino
Simon Suo
Katie Z Luo
Renjie Liao
R. Urtasun
147
155
0
23 Jul 2020
CrossTransformers: spatially-aware few-shot transfer
CrossTransformers: spatially-aware few-shot transfer
Carl Doersch
Ankush Gupta
Andrew Zisserman
ViT
201
328
0
22 Jul 2020
A General Theory of Equivariant CNNs on Homogeneous Spaces
A General Theory of Equivariant CNNs on Homogeneous Spaces
Taco S. Cohen
Mario Geiger
Maurice Weiler
MLT
AI4CE
149
308
0
05 Nov 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
243
11,568
0
09 Mar 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,635
0
05 Dec 2016
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