Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection

18 October 2021

Papers citing "Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection"

11 / 11 papers shown

Title
Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation Seulbi Lee J. Kim Sangheum Hwang LRM 172 0 0 19 Oct 2024
Collaborative Image Understanding Koby Bibas Oren Sar Shalom Dietmar Jannach VLM 24 2 0 21 Oct 2022
Two-stage Modeling for Prediction with Confidence Dangxing Chen OODD OOD 14 0 0 19 Sep 2022
Beyond Ridge Regression for Distribution-Free Data Koby Bibas M. Feder 22 0 0 17 Jun 2022
Few-shot Learning with Noisy Labels Kevin J Liang Samrudhdhi B. Rangrej Vladan Petrovic Tal Hassner NoLa 24 47 0 12 Apr 2022
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 188 879 0 21 Oct 2021
Offline Model-Based Optimization via Normalized Maximum Likelihood Estimation Justin Fu Sergey Levine OffRL 72 46 0 16 Feb 2021
Uncertainty aware and explainable diagnosis of retinal disease Amitojdeep Singh S. Sengupta M. Rasheed Varadharajan Jayakumar Vasudevan Lakshminarayanan BDL 29 21 0 26 Jan 2021
Learning Rotation Invariant Features for Cryogenic Electron Microscopy Image Reconstruction Koby Bibas Gili Weiss-Dicker Dana Cohen Noa Cahan H. Greenspan 14 7 0 10 Jan 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,675 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015