今年的ICML会议,目前接收的Paper中有如下10篇Paper关于GANs,可能找的有出入,Paper笔记陆续更新。
Learning the Structure of Generative Models without Labeled Data
Stephen Bach (Stanford University) · Bryan He (Stanford University) · Alexander J Ratner (Stanford University) · Christopher Re (Stanford)
Learning to Discover Cross-Domain Relations with Generative Adversarial Networks
Taeksoo Kim (SK T-Brain) · Moonsu Cha () · Hyunsoo Kim (SK T-Brain) · Jungkwon Lee (SK T-Brain) · Jiwon Kim (SK T-Brain)
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks
Lars Mescheder (MPI Tübingen) · Sebastian Nowozin (Microsoft Research) · Andreas Geiger (MPI Tübingen)
A Generative Framework for Multi-label Learning with Missing Labels
未找到下载地址
Vikas Jain (Indian Institute of Technology Kanpur) · Nirbhay Modhe () · Piyush Rai (IIT Kanpur)
From Patches to Images: A Nonparametric Generative Model
未找到下载地址
Geng Ji (Brown University) · Michael C. Hughes (Harvard University) · Erik Sudderth (University of California, Irvine)
Adversarial Feature Matching for Text Generation
未找到下载地址
Yizhe Zhang (Duke university) · Zhe Gan (Duke University) · Kai Fan () · Zhi Chen (Duke University) · Ricardo Henao (Duke University) · Lawrence Carin (Duke)
Compressed Sensing using Generative Models
Ashish Bora (University of Texas at Austin) · Ajil Jalal (University of Texas at Austin) · Eric Price (UT-Austin) · Alexandros Dimakis (UT Austin)
Sequence Tutor: Conservative fine-tuning of sequence generation models with 057 003 KL-control
Natasha Jaques (Massachusetts Institute of Technology) · Shixiang Gu (Cambridge) · Dzmitry Bahdanau (Université de Montréal) · Jose Hernandez-Lobato (University of Cambridge) · Richard E Turner (University of Cambridge) · Douglas Eck (Google Brain)
Learning Hierarchical Features from Generative Models
Shengjia Zhao (Stanford University) · Jiaming Song (Stanford University) · Stefano Ermon (Stanford University)
Generalization and Equilibrium in Generative Adversarial Nets (GANs)
Sanjeev Arora (Princeton University) · Rong Ge (Duke University) · Yingyu Liang (Princeton University) · Tengyu Ma (Princeton University) · Yi Zhang (Princeton University)
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