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Improve Deep Forest with Learnable Layerwise Augmentation Policy
  Schedule

Improve Deep Forest with Learnable Layerwise Augmentation Policy Schedule

16 September 2023
Hongyu Zhu
Sichu Liang
Wentao Hu
Fangqi Li
Yali Yuan
Shi-Lin Wang
Guang Cheng
ArXivPDFHTML

Papers citing "Improve Deep Forest with Learnable Layerwise Augmentation Policy Schedule"

5 / 5 papers shown
Title
RGAR: Recurrence Generation-augmented Retrieval for Factual-aware Medical Question Answering
RGAR: Recurrence Generation-augmented Retrieval for Factual-aware Medical Question Answering
Sichu Liang
Linhai Zhang
Hongyu Zhu
Wenwen Wang
Yulan He
Deyu Zhou
RALM
48
0
0
19 Feb 2025
Efficient and Effective Model Extraction
Efficient and Effective Model Extraction
Hongyu Zhu
Wentao Hu
Sichu Liang
Fangqi Li
Wenwen Wang
Shilin Wang
28
0
0
21 Sep 2024
Data Augmentation for Compositional Data: Advancing Predictive Models of
  the Microbiome
Data Augmentation for Compositional Data: Advancing Predictive Models of the Microbiome
E. Gordon-Rodríguez
Thomas P. Quinn
John P. Cunningham
46
7
0
20 May 2022
DANets: Deep Abstract Networks for Tabular Data Classification and
  Regression
DANets: Deep Abstract Networks for Tabular Data Classification and Regression
Jintai Chen
Kuan-Yu Liao
Yao Wan
Danny Chen
Jian Wu
LMTD
33
49
0
06 Dec 2021
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
Sergei Popov
S. Morozov
Artem Babenko
LMTD
91
294
0
13 Sep 2019
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