Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation

12 July 2020

Lei Li

Papers citing "Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation"

21 / 21 papers shown

Title
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 99 30,021 0 01 Mar 2022
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 138 10,591 0 17 Feb 2020
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting Aditya Grover Jiaming Song Alekh Agarwal Kenneth Tran Ashish Kapoor Eric Horvitz Stefano Ermon 44 124 0 23 Jun 2019
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design Jonathan Ho Xi Chen A. Srinivas Yan Duan Pieter Abbeel DRL 35 446 0 01 Feb 2019
Practical Lossless Compression with Latent Variables using Bits Back Coding James Townsend Thomas Bird David Barber DRL 50 139 0 15 Jan 2019
Metropolis-Hastings Generative Adversarial Networks Ryan D. Turner Jane Hung Eric Frank Yunus Saatci J. Yosinski GAN 30 98 0 28 Nov 2018
Language GANs Falling Short Massimo Caccia Lucas Caccia W. Fedus Hugo Larochelle Joelle Pineau Laurent Charlin 157 216 0 06 Nov 2018
Discriminator Rejection Sampling S. Azadi Catherine Olsson Trevor Darrell Ian Goodfellow Augustus Odena 41 131 0 16 Oct 2018
Texygen: A Benchmarking Platform for Text Generation Models Yaoming Zhu Sidi Lu Lei Zheng Jiaxian Guo Weinan Zhang Jun Wang Yong Yu 63 671 0 06 Feb 2018
Long Text Generation via Adversarial Training with Leaked Information Jiaxian Guo Sidi Lu Han Cai Weinan Zhang Yong Yu Jun Wang GAN 34 497 0 24 Sep 2017
Maximum-Likelihood Augmented Discrete Generative Adversarial Networks Tong Che Yanran Li Ruixiang Zhang R. Devon Hjelm Wenjie Li Yangqiu Song Yoshua Bengio GAN 47 235 0 26 Feb 2017
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications Tim Salimans A. Karpathy Xi Chen Diederik P. Kingma 41 933 0 19 Jan 2017
GANS for Sequences of Discrete Elements with the Gumbel-softmax Distribution Matt J. Kusner José Miguel Hernández-Lobato GAN 53 327 0 12 Nov 2016
Generative Adversarial Nets from a Density Ratio Estimation Perspective Masatoshi Uehara Issei Sato Masahiro Suzuki Kotaro Nakayama Y. Matsuo GAN 53 104 0 10 Oct 2016
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient Lantao Yu Weinan Zhang Jun Wang Yong Yu GAN 39 2,397 0 18 Sep 2016
Reward Augmented Maximum Likelihood for Neural Structured Prediction Mohammad Norouzi Samy Bengio Zhiwen Chen Navdeep Jaitly M. Schuster Yonghui Wu Dale Schuurmans 48 253 0 01 Sep 2016
Instance Normalization: The Missing Ingredient for Fast Stylization Dmitry Ulyanov Andrea Vedaldi Victor Lempitsky OOD 113 3,689 0 27 Jul 2016
Deep Reinforcement Learning for Dialogue Generation Jiwei Li Will Monroe Alan Ritter Michel Galley Jianfeng Gao Dan Jurafsky 256 1,331 0 05 Jun 2016
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization Sebastian Nowozin Botond Cseke Ryota Tomioka GAN 71 1,648 0 02 Jun 2016
Sequence Level Training with Recurrent Neural Networks MarcÁurelio Ranzato S. Chopra Michael Auli Wojciech Zaremba 65 1,610 0 20 Nov 2015
On distinguishability criteria for estimating generative models Ian Goodfellow GAN 31 138 0 19 Dec 2014