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Semi-supervised learning objectives as log-likelihoods in a generative
  model of data curation
v1v2 (latest)

Semi-supervised learning objectives as log-likelihoods in a generative model of data curation

13 August 2020
Stoil Ganev
Laurence Aitchison
ArXiv (abs)PDFHTML

Papers citing "Semi-supervised learning objectives as log-likelihoods in a generative model of data curation"

3 / 3 papers shown
VCC-INFUSE: Towards Accurate and Efficient Selection of Unlabeled
  Examples in Semi-supervised Learning
VCC-INFUSE: Towards Accurate and Efficient Selection of Unlabeled Examples in Semi-supervised Learning
Shijie Fang
Qianhan Feng
Tong Lin
310
1
0
18 Apr 2024
BaCon: Boosting Imbalanced Semi-supervised Learning via Balanced
  Feature-Level Contrastive Learning
BaCon: Boosting Imbalanced Semi-supervised Learning via Balanced Feature-Level Contrastive Learning
Qianhan Feng
Lujing Xie
Shijie Fang
Tong Lin
301
19
0
04 Mar 2024
Incorporating Unlabelled Data into Bayesian Neural Networks
Incorporating Unlabelled Data into Bayesian Neural Networks
Mrinank Sharma
Tom Rainforth
Yee Whye Teh
Vincent Fortuin
SSLUQCVBDL
342
10
0
04 Apr 2023
1
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