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Generative Models

6381 directly classified papers

Papers per year

Papers

Synthesizing Dynamic Patterns by Spatial-Temporal Generative ConvNet CVPR 2017
Adversarial Discriminative Domain Adaptation CVPR 2017
From Patches to Images: A Nonparametric Generative Model ICML 2017
Scalable Generative Models for Multi-label Learning with Missing Labels ICML 2017
Perturbative Black Box Variational Inference NIPS 2017
Self-Supervised Intrinsic Image Decomposition NIPS 2017
Coupled Generative Adversarial Networks NIPS 2016
Unsupervised Learning of 3D Structure from Images NIPS 2016
Towards Conceptual Compression NIPS 2016
Improved Techniques for Training GANs NIPS 2016
Variational Bayes on Monte Carlo Steroids NIPS 2016
Accelerated Generative Models for 3D Point Cloud Data CVPR 2016
Longitudinal Face Modeling via Temporal Deep Restricted Boltzmann Machines CVPR 2016
Conditional Image Generation with PixelCNN Decoders NIPS 2016
Neurally-Guided Procedural Models: Amortized Inference for Procedural Graphics Programs using Neural Networks NIPS 2016
Learnable Visual Markers NIPS 2016
Neural Universal Discrete Denoiser NIPS 2016
Improved Variational Inference with Inverse Autoregressive Flow NIPS 2016
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization NIPS 2016
Deep Learning Games NIPS 2016
Learning What and Where to Draw NIPS 2016
Wasserstein Training of Restricted Boltzmann Machines NIPS 2016
Synthesizing the preferred inputs for neurons in neural networks via deep generator networks NIPS 2016
An Architecture for Deep, Hierarchical Generative Models NIPS 2016
Conditional Generative Moment-Matching Networks NIPS 2016