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Shakir Mohamed and Balaji Lakshminarayanan. Learning in Implicit Generative Models

Guim Perarnau, Joost Van De Weijer, Bogdan Raducanu and Jose M. Álvarez. Invertible Conditional GANs for image editing

Augustus Odena, Christopher Olah and Jonathon Shlens. Conditional Image Synthesis with Auxiliary Classifier GANs

Luke Metz, Ben Poole, David Pfau and Jascha Sohl-Dickstein. Unrolled Generative Adversarial Networks

Chelsea Finn, Paul Christiano, Pieter Abbeel and Sergey Levine. A Connection Between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models

Pauline Luc, Camille Couprie, Soumith Chintala and Jakob Verbeek. Semantic Segmentation using Adversarial Networks

Tarik Arici and Asli Celikyilmaz. Associative Adversarial Networks

Nina Narodytska and Shiva Kasiviswanathan. Simple Black-Box Adversarial Perturbations for Deep Networks

Pedro Tabacof, Julia Tavares and Eduardo Valle. Adversarial Images for Variational Autoencoders

Yuhuai Wu, Yuri Burda, Ruslan Salakhutdinov and Roger Grosse. On the Quantitative Analysis of Decoder-Based Generative Models

Takeru Miyato, Andrew Dai and Ian Goodfellow. Adversarial Training Methods for Semi-Supervised Text Classification