Learning from Label Proportions with Generative Adversarial Networks

5 September 2019

Papers citing "Learning from Label Proportions with Generative Adversarial Networks"

7 / 7 papers shown

Title
Deep multi-class learning from label proportions Gabriel Dulac-Arnold Neil Zeghidour Marco Cuturi Lucas Beyer Jean-Philippe Vert 42 50 0 30 May 2019
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 361 3,101 0 04 Jun 2018
Towards Principled Methods for Training Generative Adversarial Networks Martín Arjovsky M. Nault GAN 71 2,102 0 17 Jan 2017
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 353 8,999 0 10 Jun 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution Justin Johnson Alexandre Alahi Li Fei-Fei SupR 175 10,202 0 27 Mar 2016
Semi-Supervised Learning with Ladder Networks Antti Rasmus Harri Valpola Mikko Honkala Mathias Berglund T. Raiko SSL 64 1,369 0 09 Jul 2015
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 150 12,384 0 24 Jun 2012