On the Importance of the Kullback-Leibler Divergence Term in Variational
Autoencoders for Text Generation

On the Importance of the Kullback-Leibler Divergence Term in Variational Autoencoders for Text Generation

30 September 2019

Victor Prokhorov

Ehsan Shareghi

Mohammad Taher Pilehvar

Papers citing "On the Importance of the Kullback-Leibler Divergence Term in Variational Autoencoders for Text Generation"

5 / 5 papers shown

Title
A Generative Framework for Predictive Modeling of Multiple Chronic Conditions Using Graph Variational Autoencoder and Bandit-Optimized Graph Neural Network Julian Carvajal Rico A. Alaeddini Syed Hasib Akhter Faruqui S. Fisher-Hoch J. McCormick 68 0 0 13 Mar 2025
SEER-ZSL: Semantic Encoder-Enhanced Representations for Generalized Zero-Shot Learning William Heyden Habib Ullah M. Salman Siddiqui Fadi Al Machot VLM 46 0 0 20 Dec 2023
Boosting Summarization with Normalizing Flows and Aggressive Training Yu Yang Xiaotong Shen AI4CE TPM 26 0 0 01 Nov 2023
Optimizing Training Trajectories in Variational Autoencoders via Latent Bayesian Optimization Approach Arpan Biswas Rama K Vasudevan M. Ziatdinov Sergei V. Kalinin BDL DRL 27 10 0 30 Jun 2022
Variational Neural Machine Translation with Normalizing Flows Hendra Setiawan Matthias Sperber Udhay Nallasamy Matthias Paulik DRL 25 12 0 28 May 2020