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Generative Models

6381 directly classified papers

Papers per year

Papers

REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models NIPS 2017
MMD GAN: Towards Deeper Understanding of Moment Matching Network NIPS 2017
Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space NIPS 2017
Fader Networks:Manipulating Images by Sliding Attributes NIPS 2017
Bayesian GAN NIPS 2017
Dualing GANs NIPS 2017
AdaGAN: Boosting Generative Models NIPS 2017
Neural Response Generation via GAN with an Approximate Embedding Layer EMNLP 2017
Triangle Generative Adversarial Networks NIPS 2017
Effective Inference for Generative Neural Parsing EMNLP 2017
Introspective Classification with Convolutional Nets NIPS 2017
Continual Learning with Deep Generative Replay NIPS 2017
Robust Imitation of Diverse Behaviors NIPS 2017
A-NICE-MC: Adversarial Training for MCMC NIPS 2017
Variational Memory Addressing in Generative Models NIPS 2017
Toward Multimodal Image-to-Image Translation NIPS 2017
Triple Generative Adversarial Nets NIPS 2017
Improved Training of Wasserstein GANs NIPS 2017
Prediction and Control with Temporal Segment Models ICML 2017
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks ICML 2017
Grammar Variational Autoencoder ICML 2017
Learning Disentangled Representations with Semi-Supervised Deep Generative Models NIPS 2017
Gradients of Generative Models for Improved Discriminative Analysis of Tandem Mass Spectra NIPS 2017
Deep Photo Style Transfer CVPR 2017
Neural Face Editing With Intrinsic Image Disentangling CVPR 2017