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Revisiting Essential and Nonessential Settings of Evidential Deep Learning

Revisiting Essential and Nonessential Settings of Evidential Deep Learning

Mengyuan Chen
Junyu Gao
Changsheng Xu
    EDL
ArXiv (abs)PDFHTMLGithub (6★)

Papers citing "Revisiting Essential and Nonessential Settings of Evidential Deep Learning"

3 / 3 papers shown
Title
Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models
Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models
Mengyuan Chen
Junyu Gao
Changsheng Xu
VLMOODD
110
4
0
11 Oct 2024
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness
Jeremiah Zhe Liu
Zi Lin
Shreyas Padhy
Dustin Tran
Tania Bedrax-Weiss
Balaji Lakshminarayanan
UQCVBDL
300
453
0
17 Jun 2020
Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding
Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding
Mathew Monfort
Bowen Pan
K. Ramakrishnan
A. Andonian
Barry A. McNamara
A. Lascelles
Quanfu Fan
Dan Gutfreund
Rogerio Feris
A. Oliva
VLM
141
68
0
01 Nov 2019

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