Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs

26 September 2022

Papers citing "Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs"

5 / 5 papers shown

Title
Dior-CVAE: Pre-trained Language Models and Diffusion Priors for Variational Dialog Generation Tianyu Yang Thy Thy Tran Iryna Gurevych DiffM 13 1 0 24 May 2023
A Unified View of Long-Sequence Models towards Modeling Million-Scale Dependencies Hongyu Hè Marko Kabić 18 2 0 13 Feb 2023
Automatic Generation of Socratic Subquestions for Teaching Math Word Problems Kumar Shridhar Jakub Macina Mennatallah El-Assady Tanmay Sinha Manu Kapur Mrinmaya Sachan AIMat 26 45 0 23 Nov 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator Max B. Paulus Chris J. Maddison Andreas Krause BDL 20 38 0 09 Oct 2020