Convolutional Conditional Neural Processes

29 October 2019

Papers citing "Convolutional Conditional Neural Processes"

27 / 27 papers shown

Title
MetaMolGen: A Neural Graph Motif Generation Model for De Novo Molecular Design Zimo Yan Jie Zhang Zheng Xie Chang-rui Liu Yang Liu Yiping Song 74 0 0 22 Apr 2025
Sparse Gaussian Neural Processes Tommy Rochussen Vincent Fortuin BDL UQCV 154 0 0 02 Apr 2025
Enhancing Job Salary Prediction with Disentangled Composition Effect Modeling: A Neural Prototyping Approach Yang Ji Ying Sun Hengshu Zhu 124 1 0 17 Mar 2025
Geometric Neural Process Fields Wenzhe Yin Zehao Xiao Jiayi Shen Yunlu Chen Cees G. M. Snoek Jan-Jakob Sonke E. Gavves AI4CE 128 0 0 04 Feb 2025
Noise-Aware Differentially Private Regression via Meta-Learning Ossi Raisa Stratis Markou Matthew Ashman W. Bruinsma Marlon Tobaben Antti Honkela Richard Turner 160 1 0 12 Jun 2024
The Functional Neural Process Christos Louizos Xiahan Shi Klamer Schutte Max Welling BDL 56 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 66 242 0 18 Jun 2019
On the Limitations of Representing Functions on Sets E. Wagstaff F. Fuchs Martin Engelcke Ingmar Posner Michael A. Osborne 113 164 0 25 Jan 2019
Attentive Neural Processes Hyunjik Kim A. Mnih Jonathan Richard Schwarz M. Garnelo S. M. Ali Eslami Dan Rosenbaum Oriol Vinyals Yee Whye Teh 88 440 0 17 Jan 2019
PointConv: Deep Convolutional Networks on 3D Point Clouds Wenxuan Wu Zhongang Qi Fuxin Li 3DPC 114 1,560 0 17 Nov 2018
Neural Processes M. Garnelo Jonathan Richard Schwarz Dan Rosenbaum Fabio Viola Danilo Jimenez Rezende S. M. Ali Eslami Yee Whye Teh BDL UQCV GP 87 514 0 04 Jul 2018
Conditional Neural Processes M. Garnelo Dan Rosenbaum Chris J. Maddison Tiago Ramalho D. Saxton Murray Shanahan Yee Whye Teh Danilo Jimenez Rezende S. M. Ali Eslami UQCV BDL 85 700 0 04 Jul 2018
Meta-Learning Probabilistic Inference For Prediction Jonathan Gordon J. Bronskill Matthias Bauer Sebastian Nowozin Richard Turner BDL 110 264 0 24 May 2018
Image Transformer Niki Parmar Ashish Vaswani Jakob Uszkoreit Lukasz Kaiser Noam M. Shazeer Alexander Ku Dustin Tran ViT 122 1,678 0 15 Feb 2018
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups Risi Kondor Shubhendu Trivedi MLT 107 498 0 11 Feb 2018
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space C. Qi L. Yi Hao Su Leonidas Guibas 3DPC 3DV 329 11,062 0 07 Jun 2017
Deep Sets Manzil Zaheer Satwik Kottur Siamak Ravanbakhsh Barnabás Póczós Ruslan Salakhutdinov Alex Smola 376 2,459 0 10 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 806 11,866 0 09 Mar 2017
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications Tim Salimans A. Karpathy Xi Chen Diederik P. Kingma 93 939 0 19 Jan 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 463 14,264 0 02 Dec 2016
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 1.3K 14,543 0 07 Oct 2016
Fast $ε$ -free Inference of Simulation Models with Bayesian Conditional Density Estimation George Papamakarios Iain Murray TPM 150 158 0 20 May 2016
Group Equivariant Convolutional Networks Taco S. Cohen Max Welling BDL 142 1,934 0 24 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.1K 193,426 0 10 Dec 2015
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 302 4,167 0 21 May 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.7K 76,917 0 18 May 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.6K 149,842 0 22 Dec 2014