Attentive Neural Processes

17 January 2019

Hyunjik Kim

A. Mnih

Jonathan Richard Schwarz

Papers citing "Attentive Neural Processes"

50 / 266 papers shown

Title
Conditional Generation of Periodic Signals with Fourier-Based Decoder Jiyoung Lee Heng-Chiao Huang Daehoon Gwak E. Choi 9 5 0 24 Oct 2021
Data-Driven Offline Optimization For Architecting Hardware Accelerators Aviral Kumar Amir Yazdanbakhsh Milad Hashemi Kevin Swersky Sergey Levine 25 36 0 20 Oct 2021
Improving Hyperparameter Optimization by Planning Ahead H. Jomaa Jonas K. Falkner Lars Schmidt-Thieme 22 0 0 15 Oct 2021
ST-MAML: A Stochastic-Task based Method for Task-Heterogeneous Meta-Learning Zhe Wang J. E. Grigsby Arshdeep Sekhon Yanjun Qi 47 4 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 19 22 0 04 Sep 2021
Global Convolutional Neural Processes Xuesong Wang Lina Yao Xianzhi Wang Hye-Young Paik Sen Wang BDL AI4CE 22 4 0 02 Sep 2021
Social Processes: Self-Supervised Meta-Learning over Conversational Groups for Forecasting Nonverbal Social Cues Chirag Raman Hayley Hung Marco Loog AI4TS 16 9 0 28 Jul 2021
Conservative Objective Models for Effective Offline Model-Based Optimization Brandon Trabucco Aviral Kumar Xinyang Geng Sergey Levine OffRL 28 86 0 14 Jul 2021
Meta-learning Amidst Heterogeneity and Ambiguity Kyeongryeol Go Seyoung Yun 24 1 0 05 Jul 2021
Relational VAE: A Continuous Latent Variable Model for Graph Structured Data Charilaos Mylonas I. Abdallah Eleni Chatzi BDL 11 1 0 30 Jun 2021
Attentive Neural Processes and Batch Bayesian Optimization for Scalable Calibration of Physics-Informed Digital Twins Ankush Chakrabarty G. Wichern C. Laughman 21 7 0 29 Jun 2021
Meta-learning for Matrix Factorization without Shared Rows or Columns Tomoharu Iwata 22 1 0 29 Jun 2021
Continuous-Time Deep Glioma Growth Models Jens Petersen Fabian Isensee Gregor Koehler Paul F. Jäger David Zimmerer ... J. Debus S. Heiland Martin Bendszus Philipp Vollmuth Klaus H. Maier-Hein 3DH 11 12 0 23 Jun 2021
Multimodal Emergent Fake News Detection via Meta Neural Process Networks Yaqing Wang Fenglong Ma Haoyu Wang Kishlay Jha Jing Gao 11 60 0 22 Jun 2021
MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images Shaofei Wang Marko Mihajlovic Qianli Ma Andreas Geiger Siyu Tang 3DH 17 99 0 22 Jun 2021
Deep Gaussian Processes: A Survey Kalvik Jakkala AI4CE GP BDL 15 19 0 21 Jun 2021
On Contrastive Representations of Stochastic Processes Emile Mathieu Adam Foster Yee Whye Teh BDL AI4TS 25 15 0 18 Jun 2021
HELP: Hardware-Adaptive Efficient Latency Prediction for NAS via Meta-Learning Hayeon Lee Sewoong Lee Song Chong S. Hwang 13 26 0 16 Jun 2021
Discrete Auto-regressive Variational Attention Models for Text Modeling Xianghong Fang Haoli Bai Jian Li Zenglin Xu Michael Lyu Irwin King 32 3 0 16 Jun 2021
Attentional Meta-learners for Few-shot Polythetic Classification Ben Day Ramón Viñas Torné Nikola Simidjievski Pietro Lio' 18 0 0 09 Jun 2021
GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data Jens Petersen Gregor Koehler David Zimmerer Fabian Isensee Paul F. Jäger Klaus H. Maier-Hein BDL AI4TS 31 3 0 09 Jun 2021
When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting Harshavardhan Kamarthi Lingkai Kong Alexander Rodríguez Chao Zhang B. Prakash AI4TS BDL 23 20 0 07 Jun 2021
How Tight Can PAC-Bayes be in the Small Data Regime? Andrew Y. K. Foong W. Bruinsma David R. Burt Richard E. Turner 17 20 0 07 Jun 2021
Deep Bayesian Active Learning for Accelerating Stochastic Simulation D. Wu Ruijia Niu Matteo Chinazzi Alessandro Vespignani Yi-An Ma Rose Yu AI4CE 27 8 0 05 Jun 2021
Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning Jannik Kossen Neil Band Clare Lyle Aidan N. Gomez Tom Rainforth Y. Gal OOD 3DPC 22 137 0 04 Jun 2021
You Never Cluster Alone Yuming Shen Ziyi Shen Menghan Wang Jie Qin Philip H. S. Torr Ling Shao SSL 12 42 0 03 Jun 2021
Inferring Black Hole Properties from Astronomical Multivariate Time Series with Bayesian Attentive Neural Processes Ji Won Park A. Villar Yin Li Yan-Fei Jiang S. Ho J. Lin P. Marshall A. Roodman BDL 10 5 0 02 Jun 2021
Evidential Turing Processes M. Kandemir Abdullah Akgul Manuel Haussmann Gözde B. Ünal EDL UQCV BDL 28 9 0 02 Jun 2021
Priors in Bayesian Deep Learning: A Review Vincent Fortuin UQCV BDL 29 124 0 14 May 2021
MetaKernel: Learning Variational Random Features with Limited Labels Yingjun Du Haoliang Sun Xiantong Zhen Jun Xu Yilong Yin Ling Shao Cees G. M. Snoek VLM BDL 10 5 0 08 May 2021
OR-Net: Pointwise Relational Inference for Data Completion under Partial Observation Qianyu Feng Linchao Zhu Bang Zhang Pan Pan Yi Yang 14 0 0 02 May 2021
Few-shot Learning for Topic Modeling Tomoharu Iwata BDL 22 6 0 19 Apr 2021
Neural Process for Black-Box Model Optimization Under Bayesian Framework Zhongkai Shangguan Lei Lin Wencheng Wu Beilei Xu 6 11 0 03 Apr 2021
Affective Processes: stochastic modelling of temporal context for emotion and facial expression recognition Enrique Sanchez M. Tellamekala M. Valstar Georgios Tzimiropoulos CVBM 32 28 0 24 Mar 2021
Neural ODE Processes Alexander Norcliffe Cristian Bodnar Ben Day Jacob Moss Pietro Lió BDL AI4TS 25 63 0 23 Mar 2021
Mini-Batch Consistent Slot Set Encoder for Scalable Set Encoding Bruno Andreis Jeffrey Willette Juho Lee Sung Ju Hwang 17 9 0 02 Mar 2021
Meta-learning One-class Classifiers with Eigenvalue Solvers for Supervised Anomaly Detection Tomoharu Iwata Atsutoshi Kumagai 17 2 0 01 Mar 2021
Conditional Image Generation by Conditioning Variational Auto-Encoders William Harvey Saeid Naderiparizi Frank D. Wood BDL DRL 25 23 0 24 Feb 2021
Group Equivariant Conditional Neural Processes M. Kawano Wataru Kumagai Akiyoshi Sannai Yusuke Iwasawa Y. Matsuo BDL 45 20 0 17 Feb 2021
Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models Q. Wang H. V. Hoof OffRL 14 20 0 16 Feb 2021
Offline Model-Based Optimization via Normalized Maximum Likelihood Estimation Justin Fu Sergey Levine OffRL 69 46 0 16 Feb 2021
Partially Observed Exchangeable Modeling Yang Li Junier B. Oliva 10 5 0 11 Feb 2021
Attentive Gaussian processes for probabilistic time-series generation Kuilin Chen Chi-Guhn Lee AI4TS 9 1 0 10 Feb 2021
Generative Models as Distributions of Functions Emilien Dupont Yee Whye Teh Arnaud Doucet 22 103 0 09 Feb 2021
Meta-Learning for Koopman Spectral Analysis with Short Time-series Tomoharu Iwata Yoshinobu Kawahara AI4TS 28 0 0 09 Feb 2021
Functional optimal transport: map estimation and domain adaptation for functional data Jiacheng Zhu Aritra Guha Dat Do Mengdi Xu X. Nguyen Ding Zhao OT 26 7 0 07 Feb 2021
NRTSI: Non-Recurrent Time Series Imputation Siyuan Shan Yang Li Junier B. Oliva AI4TS 19 35 0 05 Feb 2021
Unsupervised clustering of series using dynamic programming Karthigan Sinnathamby Chang-Yu Hou Lalitha Venkataramanan V. Gkortsas Franccois Fleuret 18 0 0 23 Jan 2021
Convolutional conditional neural processes for local climate downscaling Anna Vaughan Will Tebbutt J. S. Hosking Richard E. Turner BDL 16 47 0 20 Jan 2021
The Gaussian Neural Process W. Bruinsma James Requeima Andrew Y. K. Foong Jonathan Gordon Richard E. Turner BDL 15 28 0 10 Jan 2021