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Local Boosting for Weakly-Supervised Learning

Local Boosting for Weakly-Supervised Learning

5 June 2023
Rongzhi Zhang
Yue Yu
Jiaming Shen
Xiquan Cui
Chao Zhang
    WSOL
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Papers citing "Local Boosting for Weakly-Supervised Learning"

3 / 3 papers shown
Title
R-Mixup: Riemannian Mixup for Biological Networks
R-Mixup: Riemannian Mixup for Biological Networks
Xuan Kan
Zimu Li
Hejie Cui
Yue Yu
Ran Xu
Shaojun Yu
Zilong Zhang
Ying Guo
Carl Yang
22
6
0
05 Jun 2023
Leveraging Instance Features for Label Aggregation in Programmatic Weak
  Supervision
Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision
Jieyu Zhang
Linxin Song
Alexander Ratner
56
8
0
06 Oct 2022
Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A
  Prompt-Based Uncertainty Propagation Approach
Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach
Yue Yu
Rongzhi Zhang
Ran Xu
Jieyu Zhang
Jiaming Shen
Chao Zhang
42
21
0
15 Sep 2022
1