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Attentive Neural Processes

17 January 2019

Hyunjik Kim

A. Mnih

Jonathan Richard Schwarz

Papers citing "Attentive Neural Processes"

23 / 273 papers shown

Title
Convolutional Conditional Neural Processes Jonathan Gordon W. Bruinsma Andrew Y. K. Foong James Requeima Yann Dubois Richard Turner BDL 94 168 0 29 Oct 2019
Probabilistic Trajectory Prediction for Autonomous Vehicles with Attentive Recurrent Neural Process Jiacheng Zhu Shenghao Qin Wenshuo Wang Ding Zhao 42 10 0 17 Oct 2019
Recurrent Attentive Neural Process for Sequential Data Shenghao Qin Jiacheng Zhu Jimmy Qin Wenshuo Wang Ding Zhao BDL AI4TS 81 38 0 17 Oct 2019
Neural Approximation of an Auto-Regressive Process through Confidence Guided Sampling Y. Yoo Sanghyuk Chun Sangdoo Yun Jung-Woo Ha Jaejun Yoo 23 0 0 15 Oct 2019
Neural Multisensory Scene Inference Jae Hyun Lim Pedro H. O. Pinheiro Negar Rostamzadeh C. Pal Sungjin Ahn 48 10 0 06 Oct 2019
Wasserstein Neural Processes Andrew N. Carr Jared Nielson David Wingate BDL 48 2 0 01 Oct 2019
Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video Maria Bauzá Ferran Alet Yen-Chen Lin Tomas Lozano-Perez L. Kaelbling Phillip Isola Alberto Rodriguez 90 22 0 01 Oct 2019
Transferable Neural Processes for Hyperparameter Optimization Ying Wei P. Zhao Huaxiu Yao Junzhou Huang BDL 52 8 0 07 Sep 2019
Sequential Neural Processes Gautam Singh Jaesik Yoon Youngsung Son Sungjin Ahn BDL AI4TS 115 85 0 24 Jun 2019
The Functional Neural Process Christos Louizos Xiahan Shi Klamer Schutte Max Welling BDL 82 77 0 19 Jun 2019
Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes James Requeima Jonathan Gordon J. Bronskill Sebastian Nowozin Richard Turner 76 244 0 18 Jun 2019
Noise Contrastive Meta-Learning for Conditional Density Estimation using Kernel Mean Embeddings Jean-François Ton Lucian Chan Yee Whye Teh Dino Sejdinovic 71 13 0 05 Jun 2019
Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel Xin Qiu Elliot Meyerson Risto Miikkulainen UQCV 90 54 0 03 Jun 2019
Adaptive Deep Kernel Learning Prudencio Tossou Basile Dura François Laviolette M. Marchand Alexandre Lacoste 98 29 0 28 May 2019
Reinforcement Learning for Robotics and Control with Active Uncertainty Reduction Narendra Patwardhan Zequn Wang 24 1 0 15 May 2019
Graph Element Networks: adaptive, structured computation and memory Ferran Alet Adarsh K. Jeewajee Maria Bauzá Alberto Rodriguez Tomas Lozano-Perez L. Kaelbling AI4CE GNN 128 76 0 18 Apr 2019
Meta-Learning surrogate models for sequential decision making Alexandre Galashov Jonathan Richard Schwarz Hyunjik Kim M. Garnelo D. Saxton Pushmeet Kohli S. M. Ali Eslami Yee Whye Teh BDL OffRL 95 25 0 28 Mar 2019
Graph Neural Processes: Towards Bayesian Graph Neural Networks Andrew N. Carr David Wingate BDL 67 12 0 26 Feb 2019
Meta-Amortized Variational Inference and Learning Mike Wu Kristy Choi Noah D. Goodman Stefano Ermon OOD VLM BDL DRL 84 36 0 05 Feb 2019
On the Limitations of Representing Functions on Sets E. Wagstaff F. Fuchs Martin Engelcke Ingmar Posner Michael A. Osborne 134 167 0 25 Jan 2019
Meta Architecture Search Albert Eaton Shaw Wei Wei Weiyang Liu Le Song Bo Dai BDL 73 35 0 22 Dec 2018
Probabilistic Semantic Inpainting with Pixel Constrained CNNs Emilien Dupont S. Suresha 81 14 0 08 Oct 2018
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks Juho Lee Yoonho Lee Jungtaek Kim Adam R. Kosiorek Seungjin Choi Yee Whye Teh 140 275 0 01 Oct 2018