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Generative Models

7,221 papers

Papers per year

11
34
709
943
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Papers

An Architecture for Deep, Hierarchical Generative Models NIPS 2016
Towards Conceptual Compression NIPS 2016
Coupled Generative Adversarial Networks NIPS 2016
Attend, Infer, Repeat: Fast Scene Understanding with Generative Models NIPS 2016
A Powerful Generative Model Using Random Weights for the Deep Image Representation NIPS 2016
Synthesizing the preferred inputs for neurons in neural networks via deep generator networks NIPS 2016
Ladder Variational Autoencoders NIPS 2016
Wasserstein Training of Restricted Boltzmann Machines NIPS 2016
Improved Techniques for Training GANs NIPS 2016
Deep Learning Models of the Retinal Response to Natural Scenes NIPS 2016
Learning What and Where to Draw NIPS 2016
Conditional Image Generation with PixelCNN Decoders NIPS 2016
Deep Learning Games NIPS 2016
A Probabilistic Framework for Deep Learning NIPS 2016
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization NIPS 2016
Improved Variational Inference with Inverse Autoregressive Flow NIPS 2016
Neural Universal Discrete Denoiser NIPS 2016
Modelling Symbolic Music: Beyond the Piano Roll ACML 2016
Dreaming More Data: Class-dependent Distributions over Diffeomorphisms for Learned Data Augmentation AISTATS 2016
A Deep Generative Deconvolutional Image Model AISTATS 2016
Stochastic Neural Networks with Monotonic Activation Functions AISTATS 2016
Learning Sigmoid Belief Networks via Monte Carlo Expectation Maximization AISTATS 2016
Weakly-supervised text-to-speech alignment confidence measure COLING 2016
Structured Generative Models of Continuous Features for Word Sense Induction COLING 2016
Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis CVPR 2016