Detecting Out-of-distribution Samples via Variational Auto-encoder with
Reliable Uncertainty Estimation

Detecting Out-of-distribution Samples via Variational Auto-encoder with Reliable Uncertainty Estimation

16 July 2020

Papers citing "Detecting Out-of-distribution Samples via Variational Auto-encoder with Reliable Uncertainty Estimation"

11 / 11 papers shown

Title
DOSE3 : Diffusion-based Out-of-distribution detection on SE(3) trajectories Hongzhe Cheng Tianyou Zheng Tianyi Zhang Matthew Johnson-Roberson Weiming Zhi DiffM 55 0 0 23 Feb 2025
EmoGene: Audio-Driven Emotional 3D Talking-Head Generation Wenqing Wang Yun Fu VGen 79 0 0 07 Oct 2024
Manifold Integrated Gradients: Riemannian Geometry for Feature Attribution Eslam Zaher Maciej Trzaskowski Quan Nguyen Fred Roosta AAML 29 4 0 16 May 2024
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Daubener ... F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin Vincent Fortuin 56 17 0 28 Feb 2024
eVAE: Evolutionary Variational Autoencoder Zhangkai Wu LongBing Cao Lei Qi BDL DRL 30 10 0 01 Jan 2023
What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization Hao Sun B. V. Breugel Jonathan Crabbé Nabeel Seedat M. Schaar 24 4 0 11 Jul 2022
Robust Out-of-Distribution Detection on Deep Probabilistic Generative Models Jaemoo Choi Changyeon Yoon Jeongwoo Bae Myung-joo Kang OODD 30 4 0 15 Jun 2021
Constructing Unrestricted Adversarial Examples with Generative Models Yang Song Rui Shu Nate Kushman Stefano Ermon GAN AAML 185 302 0 21 May 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 239 2,550 0 25 Jan 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015