Attentive Neural Processes

17 January 2019

Hyunjik Kim

A. Mnih

Jonathan Richard Schwarz

Papers citing "Attentive Neural Processes"

50 / 266 papers shown

Title
Diffusion Generative Models in Infinite Dimensions Gavin Kerrigan Justin Ley Padhraic Smyth DiffM 48 27 0 01 Dec 2022
Evidential Conditional Neural Processes Deepshikha Pandey Qi Yu BDL EDL UQCV 12 13 0 30 Nov 2022
Differentiable User Models Alex Hamalainen Mustafa Mert cCelikok Samuel Kaski 23 1 0 29 Nov 2022
Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs Linhao Luo Reza Haffari Shirui Pan AI4TS 28 30 0 15 Nov 2022
Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice Jonas Rothfuss Martin Josifoski Vincent Fortuin Andreas Krause 37 7 0 14 Nov 2022
Modeling Temporal Data as Continuous Functions with Stochastic Process Diffusion Marin Bilos Kashif Rasul Anderson Schneider Yuriy Nevmyvaka Stephan Günnemann DiffM 22 32 0 04 Nov 2022
Bayesian Convolutional Deep Sets with Task-Dependent Stationary Prior Yohan Jung Jinkyoo Park BDL 14 0 0 22 Oct 2022
Inference from Real-World Sparse Measurements Arnaud Pannatier Kyle Matoba F. Fleuret AI4TS 20 0 0 20 Oct 2022
A unified model for continuous conditional video prediction Xi Ye Guillaume-Alexandre Bilodeau AI4TS 37 7 0 11 Oct 2022
Continuous PDE Dynamics Forecasting with Implicit Neural Representations Yuan Yin Matthieu Kirchmeyer Jean-Yves Franceschi A. Rakotomamonjy Patrick Gallinari AI4CE 17 48 0 29 Sep 2022
Spectral Diffusion Processes Angus Phillips Thomas Seror M. Hutchinson Valentin De Bortoli Arnaud Doucet Emile Mathieu DiffM 56 14 0 28 Sep 2022
NIERT: Accurate Numerical Interpolation through Unifying Scattered Data Representations using Transformer Encoder Shi-qi Ding Boyang Xia Milong Ren Dongbo Bu 20 2 0 19 Sep 2022
Compositional Law Parsing with Latent Random Functions Fan Shi Bin Li Xiangyang Xue CoGe 19 4 0 15 Sep 2022
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
IDNP: Interest Dynamics Modeling using Generative Neural Processes for Sequential Recommendation Jing Du Zesheng Ye Lina Yao Bin Guo Zhiwen Yu AI4TS 19 12 0 09 Aug 2022
What Can Transformers Learn In-Context? A Case Study of Simple Function Classes Shivam Garg Dimitris Tsipras Percy Liang Gregory Valiant 21 447 0 01 Aug 2022
Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling Tung Nguyen Aditya Grover BDL UQCV 19 99 0 09 Jul 2022
Scheduling Planting Time Through Developing an Optimization Model and Analysis of Time Series Growing Degree Units Javad Ansarifar Faezeh Akhavizadegan Lizhi Wang 9 1 0 02 Jul 2022
CARD: Classification and Regression Diffusion Models Xizewen Han Huangjie Zheng Mingyuan Zhou DiffM 43 109 0 15 Jun 2022
Category-Agnostic 6D Pose Estimation with Conditional Neural Processes Yumeng Li Ni Gao Hanna Ziesche Gerhard Neumann 26 5 0 14 Jun 2022
Multi-fidelity Hierarchical Neural Processes D. Wu Matteo Chinazzi Alessandro Vespignani Yi-An Ma Rose Yu AI4CE 8 13 0 10 Jun 2022
Neural Diffusion Processes Vincent Dutordoir Alan D. Saul Zoubin Ghahramani F. Simpson DiffM 38 37 0 08 Jun 2022
A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud Siqiao Xue C. Qu X. Shi Cong Liao Shiyi Zhu ... Yun Hu Lei Lei Yang Zheng Jianguo Li James Y. Zhang 54 37 0 31 May 2022
Few-Shot Diffusion Models Giorgio Giannone Didrik Nielsen Ole Winther DiffM 183 49 0 30 May 2022
Sample-Efficient Optimisation with Probabilistic Transformer Surrogates A. Maraval Matthieu Zimmer Antoine Grosnit Rasul Tutunov Jun Wang H. Ammar 25 2 0 27 May 2022
Semi-Parametric Inducing Point Networks and Neural Processes R. Rastogi Yair Schiff Alon Hacohen Zhaozhi Li I-Hsiang Lee Yuntian Deng M. Sabuncu Volodymyr Kuleshov 3DPC 24 6 0 24 May 2022
Variable-Input Deep Operator Networks Michael Prasthofer Tim De Ryck Siddhartha Mishra 42 23 0 23 May 2022
Meta-Learning Regrasping Strategies for Physical-Agnostic Objects Ni Gao Jingyu Zhang Ruijie Chen Ngo Anh Vien Hanna Ziesche Gerhard Neumann 35 10 0 23 May 2022
Incorporating Prior Knowledge into Neural Networks through an Implicit Composite Kernel Ziyang Jiang Tongshu Zheng Yiling Liu David Carlson 30 4 0 15 May 2022
Neural Processes with Stochastic Attention: Paying more attention to the context dataset Mingyu Kim Kyeongryeol Go Se-Young Yun 24 20 0 11 Apr 2022
Canonical Mean Filter for Almost Zero-Shot Multi-Task classification Yong Li Heng Wang Xiang Ye 10 0 0 08 Apr 2022
Multidimensional Belief Quantification for Label-Efficient Meta-Learning Deepshikha Pandey Qi Yu UQCV 11 10 0 23 Mar 2022
Practical Conditional Neural Processes Via Tractable Dependent Predictions Stratis Markou James Requeima W. Bruinsma Anna Vaughan Richard E. Turner UQCV AI4CE 25 24 0 16 Mar 2022
What Matters For Meta-Learning Vision Regression Tasks? Ni Gao Hanna Ziesche Ngo Anh Vien Michael Volpp Gerhard Neumann VLM 18 29 0 09 Mar 2022
Contrastive Conditional Neural Processes Zesheng Ye Lina Yao UQCV 23 12 0 08 Mar 2022
Continual Learning of Multi-modal Dynamics with External Memory Abdullah Akgul Gözde B. Ünal M. Kandemir CLL 19 0 0 02 Mar 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
Generalizing to New Physical Systems via Context-Informed Dynamics Model Matthieu Kirchmeyer Yuan Yin Jérémie Donà Nicolas Baskiotis A. Rakotomamonjy Patrick Gallinari OOD AI4CE 24 32 0 01 Feb 2022
Learning Intuitive Policies Using Action Features Mingwei Ma Jizhou Liu Samuel Sokota Max Kleiman-Weiner Jakob N. Foerster 19 4 0 29 Jan 2022
Research on Patch Attentive Neural Process Xiaohan Yu Shao‐Chen Mao 17 1 0 29 Jan 2022
From data to functa: Your data point is a function and you can treat it like one Emilien Dupont Hyunjik Kim S. M. Ali Eslami Danilo Jimenez Rezende Dan Rosenbaum TDI 3DPC 178 139 0 28 Jan 2022
Transformers Can Do Bayesian Inference Samuel G. Müller Noah Hollmann Sebastian Pineda Arango Josif Grabocka Frank Hutter BDL UQCV 19 139 0 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 19 3 0 11 Dec 2021
Neural Attention Models in Deep Learning: Survey and Taxonomy Alana de Santana Correia Esther Colombini MLAU 11 17 0 11 Dec 2021
A Generative Car-following Model Conditioned On Driving Styles Yifan Zhang Xinhong Chen Jianping Wang Zuduo Zheng Kui Wu 21 37 0 10 Dec 2021
Multi-Task Neural Processes Jiayi Shen Xiantong Zhen M. Worring Ling Shao BDL 16 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 ... C. Okwudire Garvesh Raskutti R. Saigal Karandeep Singh Ye Zhisheng FedML 33 50 0 09 Nov 2021
Variational Multi-Task Learning with Gumbel-Softmax Priors Jiayi Shen Xiantong Zhen M. Worring Ling Shao 16 27 0 09 Nov 2021
Multi-Task Neural Processes Donggyun Kim Seongwoong Cho Wonkwang Lee Seunghoon Hong 22 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 38 10 0 24 Oct 2021