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Evidential Conditional Neural Processes

Evidential Conditional Neural Processes

30 November 2022
Deepshikha Pandey
Qi Yu
    BDL
    EDL
    UQCV
ArXivPDFHTML

Papers citing "Evidential Conditional Neural Processes"

12 / 12 papers shown
Title
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
59
1
0
01 Oct 2024
A Comprehensive Survey on Evidential Deep Learning and Its Applications
A Comprehensive Survey on Evidential Deep Learning and Its Applications
Junyu Gao
Mengyuan Chen
Liangyu Xiang
Changsheng Xu
EDL
BDL
UQCV
62
5
0
07 Sep 2024
FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation
FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation
Kun Chen
Tao Chen
Peng Ye
Hao Chen
Kang Chen
Tao Han
Wanli Ouyang
Lei Bai
35
1
0
03 Jun 2024
Workload Estimation for Unknown Tasks: A Survey of Machine Learning
  Under Distribution Shift
Workload Estimation for Unknown Tasks: A Survey of Machine Learning Under Distribution Shift
Josh Bhagat Smith
Julie A. Adams
29
0
0
20 Mar 2024
Is Epistemic Uncertainty Faithfully Represented by Evidential Deep
  Learning Methods?
Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods?
Mira Jürgens
Nis Meinert
Viktor Bengs
Eyke Hüllermeier
Willem Waegeman
UQCV
UD
PER
EDL
BDL
39
11
0
14 Feb 2024
Deep Evidential Learning for Bayesian Quantile Regression
Deep Evidential Learning for Bayesian Quantile Regression
F. B. Hüttel
Filipe Rodrigues
Francisco Câmara Pereira
UD
EDL
BDL
UQCV
25
5
0
21 Aug 2023
Learn to Accumulate Evidence from All Training Samples: Theory and
  Practice
Learn to Accumulate Evidence from All Training Samples: Theory and Practice
Deepshikha Pandey
Qi Yu
EDL
37
16
0
19 Jun 2023
On Second-Order Scoring Rules for Epistemic Uncertainty Quantification
On Second-Order Scoring Rules for Epistemic Uncertainty Quantification
Viktor Bengs
Eyke Hüllermeier
Willem Waegeman
UQCV
223
25
0
30 Jan 2023
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning
Yinbo Chen
Zhuang Liu
Huijuan Xu
Trevor Darrell
Xiaolong Wang
175
342
0
09 Mar 2020
Bayesian Model-Agnostic Meta-Learning
Bayesian Model-Agnostic Meta-Learning
Taesup Kim
Jaesik Yoon
Ousmane Amadou Dia
Sungwoong Kim
Yoshua Bengio
Sungjin Ahn
UQCV
BDL
231
500
0
11 Jun 2018
Probabilistic Model-Agnostic Meta-Learning
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn
Kelvin Xu
Sergey Levine
BDL
178
666
0
07 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
499
11,727
0
09 Mar 2017
1