Improved Autoregressive Modeling with Distribution Smoothing

Improved Autoregressive Modeling with Distribution Smoothing

28 March 2021

Papers citing "Improved Autoregressive Modeling with Distribution Smoothing"

10 / 10 papers shown

Title
Ideas in Inference-time Scaling can Benefit Generative Pre-training Algorithms Jiaming Song Linqi Zhou DiffM 74 0 0 10 Mar 2025
Denoising Deep Generative Models G. Loaiza-Ganem Brendan Leigh Ross Luhuan Wu John P. Cunningham Jesse C. Cresswell Anthony L. Caterini DiffM 36 5 0 30 Nov 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Tengjiao Wang Ming-Hsuan Yang DiffM MedIm 226 1,314 0 02 Sep 2022
Generative Flow Networks for Discrete Probabilistic Modeling Dinghuai Zhang Nikolay Malkin Zichen Liu Alexandra Volokhova Aaron Courville Yoshua Bengio 22 103 0 03 Feb 2022
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs Zhisheng Xiao Karsten Kreis Arash Vahdat DiffM 42 541 0 15 Dec 2021
A Generic Approach for Enhancing GANs by Regularized Latent Optimization Yufan Zhou Chunyuan Li Changyou Chen Jinhui Xu 27 0 0 07 Dec 2021
Diffusion Normalizing Flow Qinsheng Zhang Yongxin Chen DiffM 35 87 0 14 Oct 2021
Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models Jen-Hao Rick Chang A. Shrivastava H. Koppula Xiaoshuai Zhang Oncel Tuzel DiffM 51 16 0 06 Oct 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 41 483 0 08 Mar 2021
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 272 2,552 0 25 Jan 2016