ICLR 2017 GAN Paper

https://openreview.net/group?id=ICLR.cc/2017/conference

• Oral

Towards Principled Methods for Training Generative Adversarial Networks

• Poster

Improving Generative Adversarial Networks with Denoising Feature Matching

Mode Regularized Generative Adversarial Networks

Calibrating Energy-based Generative Adversarial Networks

LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation

Unrolled Generative Adversarial Networks

Generative Multi-Adversarial Networks

Adversarially Learned Inference

Energy-based Generative Adversarial Networks

Adversarial Feature Learning

Neural Photo Editing with Introspective Adversarial Networks

• Workshop

Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning

Unsupervised Learning Using Generative Adversarial Training And Clustering

Generative Adversarial Parallelization

b-GAN: Unified Framework of Generative Adversarial Networks

Generative Adversarial Networks as Variational Training of Energy Based Models

Multi-view Generative Adversarial Networks

Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks

Generative Adversarial Networks for Image Steganography