Are Out-of-Distribution Detection Methods Effective on Large-Scale Datasets?

30 October 2019

Papers citing "Are Out-of-Distribution Detection Methods Effective on Large-Scale Datasets?"

4 / 4 papers shown

Title
COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion Recognition M. Tellamekala Shahin Amiriparian Björn W. Schuller Elisabeth André T. Giesbrecht M. Valstar 16 25 0 12 Jun 2022
MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space Rui Huang Yixuan Li OODD 23 235 0 05 May 2021
Scaling Out-of-Distribution Detection for Real-World Settings Dan Hendrycks Steven Basart Mantas Mazeika Andy Zou Joe Kwon Mohammadreza Mostajabi Jacob Steinhardt D. Song OODD 11 453 0 25 Nov 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015