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Generative Models

1275 directly classified papers

Papers per year

Papers

Deep Keyphrase Generation ACL 2017
Affect-LM: A Neural Language Model for Customizable Affective Text Generation ACL 2017
Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders ACL 2017
Data-Driven Broad-Coverage Grammars for Opinionated Natural Language Generation (ONLG) ACL 2017
A Generative Model for Depth-Based Robust 3D Facial Pose Tracking CVPR 2017
Stacked Generative Adversarial Networks CVPR 2017
Gradients of Generative Models for Improved Discriminative Analysis of Tandem Mass Spectra NIPS 2017
A Powerful Generative Model Using Random Weights for the Deep Image Representation NIPS 2016
Conditional Generative Moment-Matching Networks NIPS 2016
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks NIPS 2016
Generating Videos with Scene Dynamics NIPS 2016
Professor Forcing: A New Algorithm for Training Recurrent Networks NIPS 2016
Coupled Generative Adversarial Networks NIPS 2016
Attend, Infer, Repeat: Fast Scene Understanding with Generative Models NIPS 2016
Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis CVPR 2016
Generative Image Modeling Using Spatial LSTMs NIPS 2015
Max-Margin Deep Generative Models NIPS 2015
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks NIPS 2015
Bidirectional Recurrent Neural Networks as Generative Models NIPS 2015
Data Generation as Sequential Decision Making NIPS 2015
The Return of the Gating Network: Combining Generative Models and Discriminative Training in Natural Image Priors NIPS 2015
Class Generative Models Based on Feature Regression for Pose Estimation of Object Categories CVPR 2013
Learning visual motion in recurrent neural networks NIPS 2012
Priors for Diversity in Generative Latent Variable Models NIPS 2012
Learning in Markov Random Fields using Tempered Transitions NIPS 2009