NIPS 2016 Tutorial: Generative Adversarial Networks

31 December 2016

Papers citing "NIPS 2016 Tutorial: Generative Adversarial Networks"

13 / 263 papers shown

Title
Continual Learning with Deep Generative Replay Hanul Shin Jung Kwon Lee Jaehong Kim Jiwon Kim KELM CLL 45 2,036 0 24 May 2017
On Convergence and Stability of GANs Naveen Kodali Jacob D. Abernethy James Hays Z. Kira GAN 22 87 0 19 May 2017
MAGAN: Margin Adaptation for Generative Adversarial Networks Ruohan Wang Antoine Cully H. Chang Y. Demiris GAN 30 64 0 12 Apr 2017
BEGAN: Boundary Equilibrium Generative Adversarial Networks David Berthelot Tom Schumm Luke Metz GAN 66 1,151 0 31 Mar 2017
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks Jun-Yan Zhu Taesung Park Phillip Isola Alexei A. Efros GAN 61 5,554 0 30 Mar 2017
Steganographic Generative Adversarial Networks Denis Volkhonskiy Ivan Nazarov Evgeny Burnaev GAN 37 214 0 16 Mar 2017
Learning to Discover Cross-Domain Relations with Generative Adversarial Networks Taeksoo Kim Moonsu Cha Hyunsoo Kim Jung Kwon Lee Jiwon Kim GAN OOD 57 1,973 0 15 Mar 2017
On the Reconstruction of Face Images from Deep Face Templates Guangcan Mai Kai Cao Pong C. Yuen Anil K. Jain 3DH CVBM 32 182 0 02 Mar 2017
Boundary-Seeking Generative Adversarial Networks R. Devon Hjelm Athul Paul Jacob Tong Che Adam Trischler Kyunghyun Cho Yoshua Bengio GAN 23 170 0 27 Feb 2017
On the Origin of Deep Learning Haohan Wang Bhiksha Raj MedIm 3DV VLM 48 223 0 24 Feb 2017
SenseGen: A Deep Learning Architecture for Synthetic Sensor Data Generation M. Alzantot Supriyo Chakraborty Mani B. Srivastava 13 126 0 31 Jan 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 104 1,505 0 25 Jan 2017
Fitted Learning: Models with Awareness of their Limits Navid Kardan Kenneth O. Stanley CLL 32 16 0 07 Sep 2016