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Deep Probability Estimation

Deep Probability Estimation

21 November 2021
Sheng Liu
Aakash Kaku
Weicheng Zhu
M. Leibovich
S. Mohan
Boyang Yu
Haoxiang Huang
L. Zanna
N. Razavian
Jonathan Niles-Weed
C. Fernandez‐Granda
    UQCV
    OOD
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Papers citing "Deep Probability Estimation"

14 / 14 papers shown
Title
Deep Probability Segmentation: Are segmentation models probability
  estimators?
Deep Probability Segmentation: Are segmentation models probability estimators?
Simone Fassio
Simone Monaco
Daniele Apiletti
UQCV
OOD
13
0
0
19 Sep 2024
Automated radiotherapy treatment planning guided by GPT-4Vision
Automated radiotherapy treatment planning guided by GPT-4Vision
Sheng Liu
O. Pastor-Serrano
Yizheng Chen
Matthew Gopaulchan
Weixing Liang
...
Michael Gensheimer
P. Dong
Yong Yang
James Zou
Lei Xing
39
5
0
21 Jun 2024
Benchmarking Large Language Model Volatility
Benchmarking Large Language Model Volatility
Boyang Yu
12
3
0
26 Nov 2023
Quantifying Impairment and Disease Severity Using AI Models Trained on
  Healthy Subjects
Quantifying Impairment and Disease Severity Using AI Models Trained on Healthy Subjects
Boyang Yu
Aakash Kaku
Kangning Liu
A. Parnandi
Emily E Fokas
Anita Venkatesan
Natasha Pandit
Rajesh Ranganath
Heidi M. Schambra
C. Fernandez‐Granda
19
0
0
21 Nov 2023
Rethinking Evaluation Metric for Probability Estimation Models Using
  Esports Data
Rethinking Evaluation Metric for Probability Estimation Models Using Esports Data
Euihyeon Choi
Jooyoung Kim
Wonkyung Lee
8
0
0
12 Sep 2023
ACLS: Adaptive and Conditional Label Smoothing for Network Calibration
ACLS: Adaptive and Conditional Label Smoothing for Network Calibration
Hyekang Park
Jongyoun Noh
Youngmin Oh
Donghyeon Baek
Bumsub Ham
UQCV
28
12
0
23 Aug 2023
Confidence Estimation Using Unlabeled Data
Confidence Estimation Using Unlabeled Data
Chen Li
Xiaoling Hu
Chao Chen
UQCV
12
9
0
19 Jul 2023
Beyond Probability Partitions: Calibrating Neural Networks with Semantic
  Aware Grouping
Beyond Probability Partitions: Calibrating Neural Networks with Semantic Aware Grouping
Jia-Qi Yang
De-Chuan Zhan
Le Gan
UQCV
19
5
0
08 Jun 2023
RankSEG: A Consistent Ranking-based Framework for Segmentation
RankSEG: A Consistent Ranking-based Framework for Segmentation
Ben Dai
Chunlin Li
26
1
0
27 Jun 2022
Calibrating for Class Weights by Modeling Machine Learning
Calibrating for Class Weights by Modeling Machine Learning
Andrew Caplin
Daniel Martin
Philip Marx
11
1
0
10 May 2022
Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With
  Self-supervised Learning
Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With Self-supervised Learning
Weicheng Zhu
C. Fernandez‐Granda
N. Razavian
SSL
16
4
0
23 Mar 2022
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
238
3,359
0
09 Mar 2020
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
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,042
0
06 Jun 2015
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