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Attentive Neural Processes

Attentive Neural Processes

17 January 2019
Hyunjik Kim
A. Mnih
Jonathan Richard Schwarz
M. Garnelo
S. M. Ali Eslami
Dan Rosenbaum
Oriol Vinyals
Yee Whye Teh
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Papers citing "Attentive Neural Processes"

16 / 266 papers shown
Title
Transferable Neural Processes for Hyperparameter Optimization
Transferable Neural Processes for Hyperparameter Optimization
Ying Wei
P. Zhao
Huaxiu Yao
Junzhou Huang
BDL
9
7
0
07 Sep 2019
Sequential Neural Processes
Sequential Neural Processes
Gautam Singh
Jaesik Yoon
Youngsung Son
Sungjin Ahn
BDL
AI4TS
32
81
0
24 Jun 2019
The Functional Neural Process
The Functional Neural Process
Christos Louizos
Xiahan Shi
Klamer Schutte
Max Welling
BDL
26
77
0
19 Jun 2019
Fast and Flexible Multi-Task Classification Using Conditional Neural
  Adaptive Processes
Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes
James Requeima
Jonathan Gordon
J. Bronskill
Sebastian Nowozin
Richard E. Turner
24
240
0
18 Jun 2019
Noise Contrastive Meta-Learning for Conditional Density Estimation using
  Kernel Mean Embeddings
Noise Contrastive Meta-Learning for Conditional Density Estimation using Kernel Mean Embeddings
Jean-François Ton
Lucian Chan
Yee Whye Teh
Dino Sejdinovic
19
12
0
05 Jun 2019
Quantifying Point-Prediction Uncertainty in Neural Networks via Residual
  Estimation with an I/O Kernel
Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel
Xin Qiu
Elliot Meyerson
Risto Miikkulainen
UQCV
14
53
0
03 Jun 2019
Adaptive Deep Kernel Learning
Adaptive Deep Kernel Learning
Prudencio Tossou
Basile Dura
François Laviolette
M. Marchand
Alexandre Lacoste
21
29
0
28 May 2019
Reinforcement Learning for Robotics and Control with Active Uncertainty
  Reduction
Reinforcement Learning for Robotics and Control with Active Uncertainty Reduction
Narendra Patwardhan
Zequn Wang
6
1
0
15 May 2019
Graph Element Networks: adaptive, structured computation and memory
Graph Element Networks: adaptive, structured computation and memory
Ferran Alet
Adarsh K. Jeewajee
Maria Bauzá
Alberto Rodriguez
Tomas Lozano-Perez
L. Kaelbling
AI4CE
GNN
19
74
0
18 Apr 2019
Meta-Learning surrogate models for sequential decision making
Meta-Learning surrogate models for sequential decision making
Alexandre Galashov
Jonathan Richard Schwarz
Hyunjik Kim
M. Garnelo
D. Saxton
Pushmeet Kohli
S. M. Ali Eslami
Yee Whye Teh
BDL
OffRL
20
26
0
28 Mar 2019
Graph Neural Processes: Towards Bayesian Graph Neural Networks
Graph Neural Processes: Towards Bayesian Graph Neural Networks
Andrew N. Carr
David Wingate
BDL
37
12
0
26 Feb 2019
Meta-Amortized Variational Inference and Learning
Meta-Amortized Variational Inference and Learning
Mike Wu
Kristy Choi
Noah D. Goodman
Stefano Ermon
OOD
VLM
BDL
DRL
38
35
0
05 Feb 2019
On the Limitations of Representing Functions on Sets
On the Limitations of Representing Functions on Sets
E. Wagstaff
F. Fuchs
Martin Engelcke
Ingmar Posner
Michael A. Osborne
28
163
0
25 Jan 2019
Meta Architecture Search
Meta Architecture Search
Albert Eaton Shaw
Wei Wei
Weiyang Liu
Le Song
Bo Dai
BDL
17
35
0
22 Dec 2018
Probabilistic Semantic Inpainting with Pixel Constrained CNNs
Probabilistic Semantic Inpainting with Pixel Constrained CNNs
Emilien Dupont
S. Suresha
26
14
0
08 Oct 2018
Set Transformer: A Framework for Attention-based Permutation-Invariant
  Neural Networks
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks
Juho Lee
Yoonho Lee
Jungtaek Kim
Adam R. Kosiorek
Seungjin Choi
Yee Whye Teh
6
275
0
01 Oct 2018
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