ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2305.11616
  4. Cited By
Diversifying Deep Ensembles: A Saliency Map Approach for Enhanced OOD
  Detection, Calibration, and Accuracy

Diversifying Deep Ensembles: A Saliency Map Approach for Enhanced OOD Detection, Calibration, and Accuracy

19 May 2023
Stanislav Dereka
I. Karpukhin
Maksim Zhdanov
Sergey Kolesnikov
ArXivPDFHTML

Papers citing "Diversifying Deep Ensembles: A Saliency Map Approach for Enhanced OOD Detection, Calibration, and Accuracy"

3 / 3 papers shown
Title
Confidence estimation of classification based on the distribution of the
  neural network output layer
Confidence estimation of classification based on the distribution of the neural network output layer
A. Taha
Leonhard Hennig
Petr Knoth
UQCV
16
12
0
14 Oct 2022
Uncertainty-Based Offline Reinforcement Learning with Diversified
  Q-Ensemble
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble
Gaon An
Seungyong Moon
Jang-Hyun Kim
Hyun Oh Song
OffRL
90
261
0
04 Oct 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,635
0
05 Dec 2016
1