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Adaptive Ranking-based Sample Selection for Weakly Supervised
  Class-imbalanced Text Classification

Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text Classification

6 October 2022
Linxin Song
Jieyu Zhang
Tianxiang Yang
M. Goto
ArXivPDFHTML

Papers citing "Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text Classification"

5 / 5 papers shown
Title
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
Creating Training Sets via Weak Indirect Supervision
Creating Training Sets via Weak Indirect Supervision
Jieyu Zhang
Bohan Wang
Xiangchen Song
Yujing Wang
Yaming Yang
Jing Bai
Alexander Ratner
OffRL
51
17
0
07 Oct 2021
Equalization Loss for Long-Tailed Object Recognition
Equalization Loss for Long-Tailed Object Recognition
Jingru Tan
Changbao Wang
Buyu Li
Quanquan Li
Wanli Ouyang
Changqing Yin
Junjie Yan
241
457
0
11 Mar 2020
Range Loss for Deep Face Recognition with Long-tail
Range Loss for Deep Face Recognition with Long-tail
Xiao Zhang
Zhiyuan Fang
Yandong Wen
Zhifeng Li
Yu Qiao
CVBM
234
446
0
28 Nov 2016
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh V. Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
163
25,247
0
09 Jun 2011
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