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Generative Models

7,221 papers

Papers per year

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Papers

f-GANs in an Information Geometric Nutshell NIPS 2017
Bayesian GAN NIPS 2017
Pose Guided Person Image Generation NIPS 2017
Variational Memory Addressing in Generative Models NIPS 2017
Fader Networks:Manipulating Images by Sliding Attributes NIPS 2017
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning NIPS 2017
The Numerics of GANs NIPS 2017
Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space NIPS 2017
Learning to See Physics via Visual De-animation NIPS 2017
Bayesian Compression for Deep Learning NIPS 2017
Generalizing GANs: A Turing Perspective NIPS 2017
Good Semi-supervised Learning That Requires a Bad GAN NIPS 2017
Neural Discrete Representation Learning NIPS 2017
Stabilizing Training of Generative Adversarial Networks through Regularization NIPS 2017
Dual-Agent GANs for Photorealistic and Identity Preserving Profile Face Synthesis NIPS 2017
Toward Multimodal Image-to-Image Translation NIPS 2017
Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations NIPS 2017
Triple Generative Adversarial Nets NIPS 2017
Improved Training of Wasserstein GANs NIPS 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
ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching NIPS 2017
Perturbative Black Box Variational Inference NIPS 2017
Triangle Generative Adversarial Networks NIPS 2017
Structured Generative Adversarial Networks NIPS 2017