Towards a Neural Statistician

7 June 2016

Amos Storkey

Papers citing "Towards a Neural Statistician"

25 / 25 papers shown

Title
Generative Distribution Embeddings Nic Fishman Gokul Gowri Peng Yin Jonathan Gootenberg Omar Abudayyeh SyDa 904 0 0 23 May 2025
Sparse Gaussian Neural Processes Tommy Rochussen Vincent Fortuin BDL UQCV 169 0 0 02 Apr 2025
FUNCTO: Function-Centric One-Shot Imitation Learning for Tool Manipulation Chao Tang Anxing Xiao Yuhong Deng Tianrun Hu Wenlong Dong Hanbo Zhang David Hsu Hong Zhang 127 2 0 24 Feb 2025
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey Huali Xu Shuaifeng Zhi Shuzhou Sun Vishal M. Patel Li Liu 104 14 0 15 Mar 2023
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 370 7,321 0 13 Jun 2016
One-shot Learning with Memory-Augmented Neural Networks Adam Santoro Sergey Bartunov M. Botvinick Daan Wierstra Timothy Lillicrap 77 525 0 19 May 2016
Theano: A Python framework for fast computation of mathematical expressions The Theano Development Team Rami Al-Rfou Guillaume Alain Amjad Almahairi Christof Angermüller ... Kelvin Xu Lijun Xue Li Yao Saizheng Zhang Ying Zhang 198 2,340 0 09 May 2016
Towards Conceptual Compression Karol Gregor F. Besse Danilo Jimenez Rezende Ivo Danihelka Daan Wierstra DRL OCL SSL BDL 66 248 0 29 Apr 2016
Composing graphical models with neural networks for structured representations and fast inference Matthew J. Johnson David Duvenaud Alexander B. Wiltschko S. R. Datta Ryan P. Adams BDL OCL 89 483 0 20 Mar 2016
One-Shot Generalization in Deep Generative Models Danilo Jimenez Rezende S. Mohamed Ivo Danihelka Karol Gregor Daan Wierstra BDL VLM DRL LRM 105 254 0 16 Mar 2016
Auxiliary Deep Generative Models Lars Maaløe C. Sønderby Søren Kaae Sønderby Ole Winther DRL GAN 75 451 0 17 Feb 2016
Discriminative Regularization for Generative Models Alex Lamb Vincent Dumoulin Aaron Courville DRL 84 65 0 09 Feb 2016
Ladder Variational Autoencoders C. Sønderby T. Raiko Lars Maaløe Søren Kaae Sønderby Ole Winther BDL DRL 97 911 0 06 Feb 2016
Order Matters: Sequence to sequence for sets Oriol Vinyals Samy Bengio M. Kudlur BDL 194 950 0 19 Nov 2015
Neural Variational Inference for Text Processing Yishu Miao Lei Yu Phil Blunsom VLM DRL 127 622 0 19 Nov 2015
A note on the evaluation of generative models Lucas Theis Aaron van den Oord Matthias Bethge EGVM 126 1,145 0 05 Nov 2015
Learning Summary Statistic for Approximate Bayesian Computation via Deep Neural Network Bai Jiang Tung-Yu Wu Charles Yang Zheng W. Wong BDL 302 142 0 08 Oct 2015
Spatial Transformer Networks Max Jaderberg Karen Simonyan Andrew Zisserman Koray Kavukcuoglu 300 7,384 0 05 Jun 2015
DRAW: A Recurrent Neural Network For Image Generation Karol Gregor Ivo Danihelka Alex Graves Danilo Jimenez Rezende Daan Wierstra GAN DRL 163 1,962 0 16 Feb 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 463 43,289 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,039 0 22 Dec 2014
On Classification with Bags, Groups and Sets Veronika Cheplygina David Tax Marco Loog 59 36 0 02 Jun 2014
Black Box Variational Inference Rajesh Ranganath S. Gerrish David M. Blei DRL BDL 134 1,166 0 31 Dec 2013
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 452 16,933 0 20 Dec 2013
Learning from Distributions via Support Measure Machines Krikamol Muandet Kenji Fukumizu Francesco Dinuzzo Bernhard Schölkopf 107 198 0 29 Feb 2012