Accurate and Diverse Sampling of Sequences based on a "Best of Many"
Sample Objective

Accurate and Diverse Sampling of Sequences based on a "Best of Many" Sample Objective

20 June 2018

Apratim Bhattacharyya

Bernt Schiele

Mario Fritz

Papers citing "Accurate and Diverse Sampling of Sequences based on a "Best of Many" Sample Objective"

18 / 18 papers shown

Title
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 346 10,591 0 17 Feb 2020
Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model Xingjian Shi Zhihan Gao Leonard Lausen Hao Wang Dit-Yan Yeung W. Wong W. Woo 57 796 0 12 Jun 2017
A Generative Model of People in Clothing Christoph Lassner Gerard Pons-Moll Peter V. Gehler 3DH 75 228 0 11 May 2017
Motion Prediction Under Multimodality with Conditional Stochastic Networks Katerina Fragkiadaki Jonathan Huang Alexander A. Alemi Sudheendra Vijayanarasimhan Susanna Ricco Rahul Sukthankar 3DH 66 25 0 05 May 2017
DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents Namhoon Lee Wongun Choi Paul Vernaza Chris Choy Philip Torr Manmohan Chandraker AI4TS 86 992 0 14 Apr 2017
Simplified Stochastic Feedforward Neural Networks Kimin Lee Jaehyung Kim S. Chong Jinwoo Shin 38 3 0 11 Apr 2017
End-to-end Learning of Driving Models from Large-scale Video Datasets Huazhe Xu Yang Gao Feng Yu Trevor Darrell 128 824 0 04 Dec 2016
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks Tianfan Xue Jiajun Wu Katherine Bouman Bill Freeman 82 415 0 09 Jul 2016
Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles Stefan Lee Senthil Purushwalkam Michael Cogswell Viresh Ranjan David J. Crandall Dhruv Batra BDL UQCV OOD 63 178 0 24 Jun 2016
Unsupervised Learning for Physical Interaction through Video Prediction Chelsea Finn Ian Goodfellow Sergey Levine 70 1,043 0 23 May 2016
Variational inference for Monte Carlo objectives A. Mnih Danilo Jimenez Rezende DRL BDL 149 289 0 22 Feb 2016
MuProp: Unbiased Backpropagation for Stochastic Neural Networks S. Gu Sergey Levine Ilya Sutskever A. Mnih BDL 49 143 0 16 Nov 2015
Importance Weighted Autoencoders Yuri Burda Roger C. Grosse Ruslan Salakhutdinov BDL 260 1,245 0 01 Sep 2015
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 538 7,977 0 13 Jun 2015
Sequence to Sequence Learning with Neural Networks Ilya Sutskever Oriol Vinyals Quoc V. Le AIMat 387 20,528 0 10 Sep 2014
Semi-Supervised Learning with Deep Generative Models Diederik P. Kingma Danilo Jimenez Rezende S. Mohamed Max Welling GAN SSL BDL 83 2,738 0 20 Jun 2014
Techniques for Learning Binary Stochastic Feedforward Neural Networks T. Raiko Mathias Berglund Guillaume Alain Laurent Dinh BDL 101 126 0 11 Jun 2014
Generating Sequences With Recurrent Neural Networks Alex Graves GAN 140 4,031 0 04 Aug 2013