Efficient Gradient-Based Inference through Transformations between Bayes Nets and Neural Nets

3 February 2014

Papers citing "Efficient Gradient-Based Inference through Transformations between Bayes Nets and Neural Nets"

15 / 15 papers shown

Title
Meta-learning Amidst Heterogeneity and Ambiguity Kyeongryeol Go Seyoung Yun 34 1 0 05 Jul 2021
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 59 1,631 0 05 Dec 2019
Semi-supervisedly Co-embedding Attributed Networks Zaiqiao Meng Shangsong Liang Jinyuan Fang Teng Xiao GNN DRL 37 26 0 31 Oct 2019
Monte Carlo Gradient Estimation in Machine Learning S. Mohamed Mihaela Rosca Michael Figurnov A. Mnih 45 397 0 25 Jun 2019
Compositional generalization through meta sequence-to-sequence learning Brenden M. Lake CoGe 32 196 0 12 Jun 2019
Stochastic Blockmodels meet Graph Neural Networks Nikhil Mehta Lawrence Carin Piyush Rai BDL 35 80 0 14 May 2019
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model Erik Nijkamp Mitch Hill Song-Chun Zhu Ying Nian Wu 29 209 0 22 Apr 2019
Dirichlet Variational Autoencoder Weonyoung Joo Wonsung Lee Sungrae Park Il-Chul Moon BDL DRL 27 101 0 09 Jan 2019
Sylvester Normalizing Flows for Variational Inference Rianne van den Berg Leonard Hasenclever Jakub M. Tomczak Max Welling BDL DRL 18 249 0 15 Mar 2018
Generalization without systematicity: On the compositional skills of sequence-to-sequence recurrent networks Brenden M. Lake Marco Baroni 29 81 0 31 Oct 2017
Gradient Estimation Using Stochastic Computation Graphs John Schulman N. Heess T. Weber Pieter Abbeel OffRL 41 389 0 17 Jun 2015
Early Stopping is Nonparametric Variational Inference D. Maclaurin David Duvenaud Ryan P. Adams BDL 38 95 0 06 Apr 2015
How Auto-Encoders Could Provide Credit Assignment in Deep Networks via Target Propagation Yoshua Bengio 47 181 0 29 Jul 2014
Reweighted Wake-Sleep J. Bornschein Yoshua Bengio BDL 26 181 0 11 Jun 2014
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,639 0 03 Jul 2012