Recurrent Attentive Neural Process for Sequential Data

17 October 2019

Ding Zhao

Papers citing "Recurrent Attentive Neural Process for Sequential Data"

25 / 25 papers shown

Title
System 2 Reasoning via Generality and Adaptation Sejin Kim Sundong Kim LRM AI4CE 68 0 0 10 Oct 2024
Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies Kieran Wood Samuel Kessler Stephen J. Roberts S. Zohren AI4TS 23 2 0 16 Oct 2023
Machine Learning for Infectious Disease Risk Prediction: A Survey Mutong Liu Yang Liu Jiming Liu LM&MA AI4CE 16 0 0 06 Aug 2023
Graph Neural Processes for Spatio-Temporal Extrapolation Junfeng Hu Yuxuan Liang Zhencheng Fan Hongyang Chen Yu Zheng Roger Zimmermann BDL 17 11 0 30 May 2023
Robust and Context-Aware Real-Time Collaborative Robot Handling via Dynamic Gesture Commands Rui Chen Alvin C M Shek Changliu Liu 6 4 0 12 Apr 2023
NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning Jianfeng Wang Xiaolin Hu Thomas Lukasiewicz AAML BDL 23 0 0 31 Jan 2023
The Neural Process Family: Survey, Applications and Perspectives Saurav Jha Dong Gong Xuesong Wang Richard E. Turner L. Yao BDL 73 24 0 01 Sep 2022
NP-Match: When Neural Processes meet Semi-Supervised Learning Jianfeng Wang Thomas Lukasiewicz Daniela Massiceti Xiaolin Hu Vladimir Pavlovic A. Neophytou BDL 63 42 0 03 Jul 2022
Reinforcement Learning in Presence of Discrete Markovian Context Evolution Hang Ren Aivar Sootla Taher Jafferjee Junxiao Shen Jun Wang Haitham Bou-Ammar BDL OffRL 19 9 0 14 Feb 2022
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 14 3 0 11 Dec 2021
Multi-Task Neural Processes Donggyun Kim Seongwoong Cho Wonkwang Lee Seunghoon Hong 17 0 0 28 Oct 2021
CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting Harshavardhan Kamarthi Lingkai Kong Alexander Rodríguez Chao Zhang B. Prakash AI4TS 38 17 0 15 Sep 2021
Social Processes: Self-Supervised Meta-Learning over Conversational Groups for Forecasting Nonverbal Social Cues Chirag Raman Hayley Hung Marco Loog AI4TS 11 9 0 28 Jul 2021
When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting Harshavardhan Kamarthi Lingkai Kong Alexander Rodríguez Chao Zhang B. Prakash AI4TS BDL 8 20 0 07 Jun 2021
Meta-Learning for Koopman Spectral Analysis with Short Time-series Tomoharu Iwata Yoshinobu Kawahara AI4TS 26 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 24 7 0 07 Feb 2021
Convolutional conditional neural processes for local climate downscaling Anna Vaughan Will Tebbutt J. S. Hosking Richard E. Turner BDL 14 47 0 20 Jan 2021
Context-Aware Safe Reinforcement Learning for Non-Stationary Environments Baiming Chen Zuxin Liu Jiacheng Zhu Mengdi Xu Wenhao Ding Ding Zhao 17 35 0 02 Jan 2021
Few-shot Learning for Time-series Forecasting Tomoharu Iwata Atsutoshi Kumagai AI4TS 11 18 0 30 Sep 2020
Robustifying Sequential Neural Processes Jaesik Yoon Gautam Singh Sungjin Ahn 16 27 0 29 Jun 2020
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes Mengdi Xu Wenhao Ding Jiacheng Zhu Zuxin Liu Baiming Chen Ding Zhao CLL OffRL 23 34 0 19 Jun 2020
Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows Ruizhi Deng B. Chang Marcus A. Brubaker Greg Mori Andreas M. Lehrmann 12 49 0 24 Feb 2020
Multi-Vehicle Interaction Scenarios Generation with Interpretable Traffic Primitives and Gaussian Process Regression Weiyang Zhang Wenshuo Wang Ding Zhao 11 11 0 08 Oct 2019
Clustering of Driving Encounter Scenarios Using Connected Vehicle Trajectories Wenshuo Wang Aditya A. Ramesh Ding Zhao 15 46 0 23 Jul 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 311 11,681 0 09 Mar 2017