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Attentive Neural Processes

17 January 2019

Hyunjik Kim

A. Mnih

Jonathan Richard Schwarz

Papers citing "Attentive Neural Processes"

50 / 273 papers shown

Title
Neural Attention Models in Deep Learning: Survey and Taxonomy Alana de Santana Correia Esther Colombini MLAU 48 19 0 11 Dec 2021
A Generative Car-following Model Conditioned On Driving Styles Yifan Zhang Xinhong Chen Jianping Wang Zuduo Zheng Kui Wu 101 42 0 10 Dec 2021
Multi-Task Neural Processes Jiayi Shen Xiantong Zhen M. Worring Ling Shao BDL 81 8 0 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 Raed Al Kontar Naichen Shi Xubo Yue Seokhyun Chung E. Byon ... Chinedum Okwudire Garvesh Raskutti R. Saigal Karandeep Singh Ye Zhisheng FedML 109 53 0 09 Nov 2021
Variational Multi-Task Learning with Gumbel-Softmax Priors Jiayi Shen Xiantong Zhen M. Worring Ling Shao 75 30 0 09 Nov 2021
Multi-Task Neural Processes Donggyun Kim Seongwoong Cho Wonkwang Lee Seunghoon Hong 50 0 0 28 Oct 2021
Contrastive Neural Processes for Self-Supervised Learning Konstantinos Kallidromitis Denis A. Gudovskiy Kozuka Kazuki Ohama Iku Luca Rigazio SSL AI4TS 100 10 0 24 Oct 2021
Conditional Generation of Periodic Signals with Fourier-Based Decoder Jiyoung Lee Heng-Chiao Huang Daehoon Gwak Edward Choi 50 6 0 24 Oct 2021
Data-Driven Offline Optimization For Architecting Hardware Accelerators Aviral Kumar Amir Yazdanbakhsh Milad Hashemi Kevin Swersky Sergey Levine 111 38 0 20 Oct 2021
Improving Hyperparameter Optimization by Planning Ahead H. Jomaa Jonas K. Falkner Lars Schmidt-Thieme 64 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 113 5 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 66 24 0 04 Sep 2021
Global Convolutional Neural Processes Xuesong Wang Lina Yao Xianzhi Wang Hye-Young Paik Sen Wang BDL AI4CE 90 5 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 47 9 0 28 Jul 2021
Conservative Objective Models for Effective Offline Model-Based Optimization Brandon Trabucco Aviral Kumar Xinyang Geng Sergey Levine OffRL 88 94 0 14 Jul 2021
Meta-learning Amidst Heterogeneity and Ambiguity Kyeongryeol Go Seyoung Yun 87 1 0 05 Jul 2021
Relational VAE: A Continuous Latent Variable Model for Graph Structured Data Charilaos Mylonas I. Abdallah Eleni Chatzi BDL 59 1 0 30 Jun 2021
Attentive Neural Processes and Batch Bayesian Optimization for Scalable Calibration of Physics-Informed Digital Twins Ankush Chakrabarty Gordon Wichern C. Laughman 69 8 0 29 Jun 2021
Meta-learning for Matrix Factorization without Shared Rows or Columns Tomoharu Iwata 42 1 0 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 65 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 131 61 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 79 100 0 22 Jun 2021
Deep Gaussian Processes: A Survey Kalvik Jakkala AI4CE GP BDL 78 20 0 21 Jun 2021
On Contrastive Representations of Stochastic Processes Emile Mathieu Adam Foster Yee Whye Teh BDL AI4TS 48 15 0 18 Jun 2021
HELP: Hardware-Adaptive Efficient Latency Prediction for NAS via Meta-Learning Hayeon Lee Sewoong Lee Song Chong Sung Ju Hwang 81 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 69 3 0 16 Jun 2021
Attentional Meta-learners for Few-shot Polythetic Classification Ben Day Ramón Viñas Torné Nikola Simidjievski Pietro Lio 35 1 0 09 Jun 2021
GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data Jens Petersen Gregor Koehler David Zimmerer Hyunjin Park Paul F. Jäger Klaus H. Maier-Hein BDL AI4TS 71 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 113 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 Turner 95 22 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 133 9 0 05 Jun 2021
Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning Jannik Kossen Neil Band Clare Lyle Aidan Gomez Tom Rainforth Y. Gal OOD 3DPC 124 142 0 04 Jun 2021
You Never Cluster Alone Yuming Shen Ziyi Shen Menghan Wang Jie Qin Philip Torr Ling Shao SSL 110 45 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 43 5 0 02 Jun 2021
Evidential Turing Processes M. Kandemir Abdullah Akgul Manuel Haussmann Gözde B. Ünal EDL UQCV BDL 70 10 0 02 Jun 2021
Priors in Bayesian Deep Learning: A Review Vincent Fortuin UQCV BDL 137 134 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 37 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 23 0 0 02 May 2021
Few-shot Learning for Topic Modeling Tomoharu Iwata BDL 153 7 0 19 Apr 2021
Neural Process for Black-Box Model Optimization Under Bayesian Framework Zhongkai Shangguan Lei Lin Wencheng Wu Beilei Xu 56 11 0 03 Apr 2021
Affective Processes: stochastic modelling of temporal context for emotion and facial expression recognition Enrique Sanchez M. Tellamekala Michel Valstar Georgios Tzimiropoulos CVBM 69 29 0 24 Mar 2021
Neural ODE Processes Alexander Norcliffe Cristian Bodnar Ben Day Jacob Moss Pietro Lio BDL AI4TS 108 65 0 23 Mar 2021
Mini-Batch Consistent Slot Set Encoder for Scalable Set Encoding Bruno Andreis Jeffrey Willette Juho Lee Sung Ju Hwang 67 9 0 02 Mar 2021
Meta-learning One-class Classifiers with Eigenvalue Solvers for Supervised Anomaly Detection Tomoharu Iwata Atsutoshi Kumagai 51 2 0 01 Mar 2021
Conditional Image Generation by Conditioning Variational Auto-Encoders William Harvey Saeid Naderiparizi Frank Wood BDL DRL 61 25 0 24 Feb 2021
Group Equivariant Conditional Neural Processes M. Kawano Wataru Kumagai Akiyoshi Sannai Yusuke Iwasawa Y. Matsuo BDL 101 20 0 17 Feb 2021
Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models Q. Wang H. V. Hoof OffRL 65 20 0 16 Feb 2021
Offline Model-Based Optimization via Normalized Maximum Likelihood Estimation Justin Fu Sergey Levine OffRL 122 49 0 16 Feb 2021
Partially Observed Exchangeable Modeling Yang Li Junier B. Oliva 52 5 0 11 Feb 2021
Attentive Gaussian processes for probabilistic time-series generation Kuilin Chen Chi-Guhn Lee AI4TS 25 1 0 10 Feb 2021