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Can semi-supervised learning use all the data effectively? A lower bound
  perspective

Can semi-supervised learning use all the data effectively? A lower bound perspective

30 November 2023
Alexandru cTifrea
Gizem Yüce
Amartya Sanyal
Fanny Yang
ArXivPDFHTML

Papers citing "Can semi-supervised learning use all the data effectively? A lower bound perspective"

4 / 4 papers shown
Title
Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning
Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning
Jingyang Li
Jiachun Pan
Vincent Y. F. Tan
Kim-Chuan Toh
Pan Zhou
AAML
MLT
31
0
0
15 Oct 2024
Semi-Supervised Sparse Gaussian Classification: Provable Benefits of
  Unlabeled Data
Semi-Supervised Sparse Gaussian Classification: Provable Benefits of Unlabeled Data
Eyar Azar
B. Nadler
18
1
0
05 Sep 2024
Universal Lower Bounds and Optimal Rates: Achieving Minimax Clustering
  Error in Sub-Exponential Mixture Models
Universal Lower Bounds and Optimal Rates: Achieving Minimax Clustering Error in Sub-Exponential Mixture Models
Maximilien Dreveton
Alperen Gozeten
Matthias Grossglauser
Patrick Thiran
22
0
0
23 Feb 2024
On the Semi-supervised Expectation Maximization
On the Semi-supervised Expectation Maximization
Erixhen Sula
Lizhong Zheng
19
1
0
01 Nov 2022
1