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Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach

Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach

19 May 2017
Emmanouil Antonios Platanios
Hoifung Poon
Tom Michael Mitchell
Eric Horvitz
ArXivPDFHTML

Papers citing "Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach"

11 / 11 papers shown
Title
Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift
Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift
Renchunzi Xie
Ambroise Odonnat
Vasilii Feofanov
I. Redko
Jianfeng Zhang
Bo An
UQCV
80
1
0
17 Jan 2024
Label-Free Model Evaluation with Semi-Structured Dataset Representations
Label-Free Model Evaluation with Semi-Structured Dataset Representations
Xiaoxiao Sun
Yunzhong Hou
Hongdong Li
Liang Zheng
24
11
0
01 Dec 2021
DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled
  Samples
DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples
Yi Xu
Jiandong Ding
Lu Zhang
Shuigeng Zhou
41
32
0
26 Oct 2021
Detecting Errors and Estimating Accuracy on Unlabeled Data with
  Self-training Ensembles
Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles
Jiefeng Chen
Frederick Liu
Besim Avci
Xi Wu
Yingyu Liang
S. Jha
32
61
0
29 Jun 2021
What Does Rotation Prediction Tell Us about Classifier Accuracy under
  Varying Testing Environments?
What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments?
Weijian Deng
Stephen Gould
Liang Zheng
39
63
0
10 Jun 2021
Self-Training with Weak Supervision
Self-Training with Weak Supervision
Giannis Karamanolakis
Subhabrata Mukherjee
Guoqing Zheng
Ahmed Hassan Awadallah
NoLa
29
86
0
12 Apr 2021
Estimating Generalization under Distribution Shifts via Domain-Invariant
  Representations
Estimating Generalization under Distribution Shifts via Domain-Invariant Representations
Ching-Yao Chuang
Antonio Torralba
Stefanie Jegelka
OOD
8
60
0
06 Jul 2020
Multi-Resolution Weak Supervision for Sequential Data
Multi-Resolution Weak Supervision for Sequential Data
Frederic Sala
P. Varma
Jason Alan Fries
Daniel Y. Fu
Shiori Sagawa
...
A. Ramamoorthy
K. Xiao
Kayvon Fatahalian
J. Priest
Christopher Ré
NoLa
22
28
0
21 Oct 2019
On Exploring Undetermined Relationships for Visual Relationship
  Detection
On Exploring Undetermined Relationships for Visual Relationship Detection
Yibing Zhan
Jun-chen Yu
Ting Yu
Dacheng Tao
33
82
0
05 May 2019
Limitations of Assessing Active Learning Performance at Runtime
Limitations of Assessing Active Learning Performance at Runtime
D. Kottke
Jim Schellinger
Denis Huseljic
Bernhard Sick
20
15
0
29 Jan 2019
Scalable Structure Learning for Probabilistic Soft Logic
Scalable Structure Learning for Probabilistic Soft Logic
Varun R. Embar
Dhanya Sridhar
G. Farnadi
Lise Getoor
NAI
32
8
0
03 Jul 2018
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