Uncertainty in latent representations of variational autoencoders optimized for visual tasks

Uncertainty in latent representations of variational autoencoders optimized for visual tasks

23 April 2024

Josefina Catoni

Diego H. Milone

Rodrigo Echeveste

Diego H. Milone

Balázs Meszéna

Gergő Orbán

Rodrigo Echeveste

Papers citing "Uncertainty in latent representations of variational autoencoders optimized for visual tasks"

6 / 6 papers shown

Title
Trading off Relevance and Revenue in the Jobs Marketplace: Estimation, Optimization and Auction Design Farzad Pourbabaee Siyang Song Peter McCrory Luke Simon Di Mo 62 0 0 04 Apr 2025
Towards unraveling calibration biases in medical image analysis María Agustina Ricci Lara Candelaria Mosquera Enzo Ferrante Rodrigo Echeveste 67 9 0 09 May 2023
Top-down inference in an early visual cortex inspired hierarchical Variational Autoencoder F. Csikor B. Meszéna Bence Szabó Gergő Orbán BDL DRL 79 5 0 01 Jun 2022
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 282 5,812 0 14 Jun 2017
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases Xiaosong Wang Yifan Peng Le Lu Zhiyong Lu M. Bagheri Ronald M. Summers LM&MA 154 2,521 0 05 May 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 741 9,290 0 06 Jun 2015