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1901.05761
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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"
50 / 293 papers shown
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Semi-Parametric Inducing Point Networks and Neural Processes
International Conference on Learning Representations (ICLR), 2022
R. Rastogi
Yair Schiff
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Zhaozhi Li
I-Hsiang Lee
Yuntian Deng
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Variable-Input Deep Operator Networks
Michael Prasthofer
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192
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Meta-Learning Regrasping Strategies for Physical-Agnostic Objects
Ni Gao
Jingyu Zhang
Ruijie Chen
Ngo Anh Vien
Hanna Ziesche
Gerhard Neumann
256
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23 May 2022
Incorporating Prior Knowledge into Neural Networks through an Implicit Composite Kernel
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Tongshu Zheng
Yiling Liu
David Carlson
495
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15 May 2022
Neural Processes with Stochastic Attention: Paying more attention to the context dataset
International Conference on Learning Representations (ICLR), 2022
Mingyu Kim
Kyeongryeol Go
Se-Young Yun
149
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11 Apr 2022
Canonical Mean Filter for Almost Zero-Shot Multi-Task classification
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Heng Wang
Xiang Ye
170
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08 Apr 2022
Multidimensional Belief Quantification for Label-Efficient Meta-Learning
Computer Vision and Pattern Recognition (CVPR), 2022
Deepshikha Pandey
Qi Yu
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157
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23 Mar 2022
Practical Conditional Neural Processes Via Tractable Dependent Predictions
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James Requeima
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16 Mar 2022
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Ni Gao
Hanna Ziesche
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Michael Volpp
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159
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Contrastive Conditional Neural Processes
Computer Vision and Pattern Recognition (CVPR), 2022
Zesheng Ye
Lina Yao
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203
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08 Mar 2022
Continual Learning of Multi-modal Dynamics with External Memory
Conference on Learning for Dynamics & Control (L4DC), 2022
Abdullah Akgul
Gözde B. Ünal
M. Kandemir
CLL
259
0
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02 Mar 2022
Reinforcement Learning in Presence of Discrete Markovian Context Evolution
International Conference on Learning Representations (ICLR), 2022
Hang Ren
Aivar Sootla
Taher Jafferjee
Junxiao Shen
Jun Wang
Haitham Bou-Ammar
BDL
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193
12
0
14 Feb 2022
Generalizing to New Physical Systems via Context-Informed Dynamics Model
International Conference on Machine Learning (ICML), 2022
Matthieu Kirchmeyer
Yuan Yin
Jérémie Donà
Nicolas Baskiotis
A. Rakotomamonjy
Patrick Gallinari
OOD
AI4CE
223
49
0
01 Feb 2022
Learning Intuitive Policies Using Action Features
International Conference on Machine Learning (ICML), 2022
Mingwei Ma
Jizhou Liu
Samuel Sokota
Max Kleiman-Weiner
Jakob N. Foerster
274
4
0
29 Jan 2022
Research on Patch Attentive Neural Process
Xiaohan Yu
Shao‐Chen Mao
136
1
0
29 Jan 2022
From data to functa: Your data point is a function and you can treat it like one
International Conference on Machine Learning (ICML), 2022
Emilien Dupont
Hyunjik Kim
S. M. Ali Eslami
Danilo Jimenez Rezende
Dan Rosenbaum
TDI
3DPC
584
185
0
28 Jan 2022
Transformers Can Do Bayesian Inference
International Conference on Learning Representations (ICLR), 2021
Samuel G. Müller
Noah Hollmann
Sebastian Pineda Arango
Josif Grabocka
Katharina Eggensperger
BDL
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235
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20 Dec 2021
Learn from Human Teams: a Probabilistic Solution to Real-Time Collaborative Robot Handling with Dynamic Gesture Commands
Rui Chen
Alvin C M Shek
Changliu Liu
135
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11 Dec 2021
Neural Attention Models in Deep Learning: Survey and Taxonomy
Alana de Santana Correia
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135
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A Generative Car-following Model Conditioned On Driving Styles
Yifan Zhang
Xinhong Chen
Jianping Wang
Zuduo Zheng
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189
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10 Dec 2021
Multi-Task Neural Processes
Jiayi Shen
Xiantong Zhen
M. Worring
Ling Shao
BDL
237
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10 Nov 2021
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning
IEEE Access (IEEE Access), 2021
Raed Al Kontar
Naichen Shi
Xubo Yue
Seokhyun Chung
E. Byon
...
Chinedum Okwudire
Garvesh Raskutti
R. Saigal
Karandeep Singh
Ye Zhisheng
FedML
292
59
0
09 Nov 2021
Variational Multi-Task Learning with Gumbel-Softmax Priors
Neural Information Processing Systems (NeurIPS), 2021
Jiayi Shen
Xiantong Zhen
M. Worring
Ling Shao
160
35
0
09 Nov 2021
Multi-Task Neural Processes
Donggyun Kim
Seongwoong Cho
Wonkwang Lee
Seunghoon Hong
305
0
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28 Oct 2021
Contrastive Neural Processes for Self-Supervised Learning
Asian Conference on Machine Learning (ACML), 2021
Konstantinos Kallidromitis
Denis A. Gudovskiy
Kozuka Kazuki
Ohama Iku
Luca Rigazio
SSL
AI4TS
243
11
0
24 Oct 2021
Conditional Generation of Periodic Signals with Fourier-Based Decoder
Jiyoung Lee
Heng-Chiao Huang
Daehoon Gwak
Edward Choi
119
7
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24 Oct 2021
Data-Driven Offline Optimization For Architecting Hardware Accelerators
International Conference on Learning Representations (ICLR), 2021
Aviral Kumar
Amir Yazdanbakhsh
Milad Hashemi
Kevin Swersky
Sergey Levine
292
41
0
20 Oct 2021
Improving Hyperparameter Optimization by Planning Ahead
H. Jomaa
Jonas K. Falkner
Lars Schmidt-Thieme
147
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15 Oct 2021
ST-MAML: A Stochastic-Task based Method for Task-Heterogeneous Meta-Learning
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Zhe Wang
J. E. Grigsby
Arshdeep Sekhon
Yanjun Qi
268
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0
27 Sep 2021
Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting
Sheo Yon Jhin
H. Shin
Seoyoung Hong
Solhee Park
Noseong Park
AI4TS
171
33
0
04 Sep 2021
Global Convolutional Neural Processes
Xuesong Wang
Lina Yao
Xianzhi Wang
Hye-Young Paik
Sen Wang
BDL
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133
6
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Social Processes: Self-Supervised Meta-Learning over Conversational Groups for Forecasting Nonverbal Social Cues
Chirag Raman
Hayley Hung
Marco Loog
AI4TS
180
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Conservative Objective Models for Effective Offline Model-Based Optimization
International Conference on Machine Learning (ICML), 2021
Brandon Trabucco
Aviral Kumar
Xinyang Geng
Sergey Levine
OffRL
221
106
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14 Jul 2021
Meta-learning Amidst Heterogeneity and Ambiguity
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Seyoung Yun
242
1
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Relational VAE: A Continuous Latent Variable Model for Graph Structured Data
Charilaos Mylonas
I. Abdallah
Eleni Chatzi
BDL
123
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30 Jun 2021
Attentive Neural Processes and Batch Bayesian Optimization for Scalable Calibration of Physics-Informed Digital Twins
Ankush Chakrabarty
Gordon Wichern
C. Laughman
127
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29 Jun 2021
Meta-learning for Matrix Factorization without Shared Rows or Columns
Tomoharu Iwata
115
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29 Jun 2021
Continuous-Time Deep Glioma Growth Models
Jens Petersen
Hyunjin Park
Gregor Koehler
Paul F. Jäger
David Zimmerer
...
J. Debus
S. Heiland
Martin Bendszus
Philipp Vollmuth
Klaus H. Maier-Hein
3DH
182
13
0
23 Jun 2021
Multimodal Emergent Fake News Detection via Meta Neural Process Networks
Knowledge Discovery and Data Mining (KDD), 2021
Yaqing Wang
Fenglong Ma
Haoyu Wang
Kishlay Jha
Jing Gao
185
68
0
22 Jun 2021
MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images
Neural Information Processing Systems (NeurIPS), 2021
Shaofei Wang
Marko Mihajlovic
Qianli Ma
Andreas Geiger
Siyu Tang
3DH
286
107
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22 Jun 2021
Deep Gaussian Processes: A Survey
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151
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On Contrastive Representations of Stochastic Processes
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Emile Mathieu
Adam Foster
Yee Whye Teh
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134
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HELP: Hardware-Adaptive Efficient Latency Prediction for NAS via Meta-Learning
Hayeon Lee
Sewoong Lee
Song Chong
Sung Ju Hwang
261
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16 Jun 2021
Discrete Auto-regressive Variational Attention Models for Text Modeling
Xianghong Fang
Haoli Bai
Jian Li
Zenglin Xu
Michael Lyu
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141
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Attentional Meta-learners for Few-shot Polythetic Classification
International Conference on Machine Learning (ICML), 2021
Ben Day
Ramón Viñas Torné
Nikola Simidjievski
Pietro Lio
150
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GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data
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Gregor Koehler
David Zimmerer
Hyunjin Park
Paul F. Jäger
Klaus H. Maier-Hein
BDL
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221
3
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09 Jun 2021
When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting
Neural Information Processing Systems (NeurIPS), 2021
Harshavardhan Kamarthi
Lingkai Kong
Alexander Rodríguez
Chao Zhang
B. Prakash
AI4TS
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273
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0
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How Tight Can PAC-Bayes be in the Small Data Regime?
Neural Information Processing Systems (NeurIPS), 2021
Andrew Y. K. Foong
W. Bruinsma
David R. Burt
Richard Turner
304
23
0
07 Jun 2021
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