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Are we making much progress? Revisiting chemical reaction yield prediction from an imbalanced regression perspective

Are we making much progress? Revisiting chemical reaction yield prediction from an imbalanced regression perspective

6 February 2024
Yihong Ma
Xiaobao Huang
B. Nan
Nuno Moniz
Xiangliang Zhang
Olaf Wiest
Nitesh Chawla
ArXivPDFHTML

Papers citing "Are we making much progress? Revisiting chemical reaction yield prediction from an imbalanced regression perspective"

5 / 5 papers shown
Title
Semi-Supervised Graph Imbalanced Regression
Semi-Supervised Graph Imbalanced Regression
Gang Liu
Tong Zhao
Eric Inae
Te Luo
Meng Jiang
51
19
0
20 May 2023
RankSim: Ranking Similarity Regularization for Deep Imbalanced
  Regression
RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression
Yu Gong
Greg Mori
Frederick Tung
40
45
0
30 May 2022
Delving into Deep Imbalanced Regression
Delving into Deep Imbalanced Regression
Yuzhe Yang
Kaiwen Zha
Ying-Cong Chen
Hongya Wang
Dina Katabi
71
266
0
18 Feb 2021
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.6K
94,511
0
11 Oct 2018
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
339
25,569
0
09 Jun 2011
1