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When are Deep Networks really better than Decision Forests at small
  sample sizes, and how?
v1v2v3v4 (latest)

When are Deep Networks really better than Decision Forests at small sample sizes, and how?

31 August 2021
Haoyin Xu
K. A. Kinfu
Will LeVine
Sambit Panda
Jayanta Dey
Michael Ainsworth
Yu-Chung Peng
M. Kusmanov
F. Engert
Christopher M. White
Joshua T. Vogelstein
Carey E. Priebe
ArXiv (abs)PDFHTML

Papers citing "When are Deep Networks really better than Decision Forests at small sample sizes, and how?"

6 / 6 papers shown
Doubling Your Data in Minutes: Ultra-fast Tabular Data Generation via LLM-Induced Dependency Graphs
Doubling Your Data in Minutes: Ultra-fast Tabular Data Generation via LLM-Induced Dependency Graphs
Shuo Yang
Zheyu Zhang
Bardh Prenkaj
Gjergji Kasneci
280
4
0
25 Jul 2025
Detecting Financial Bots on the Ethereum Blockchain
Detecting Financial Bots on the Ethereum BlockchainThe Web Conference (WWW), 2024
Thomas Niedermayer
Pietro Saggese
Bernhard Haslhofer
323
12
0
03 Jan 2025
On the Trade-off between the Number of Nodes and the Number of Trees in
  a Random Forest
On the Trade-off between the Number of Nodes and the Number of Trees in a Random Forest
Tatsuya Akutsu
A. Melkman
Atsuhiro Takasu
315
0
0
16 Dec 2023
From Empirical Measurements to Augmented Data Rates: A Machine Learning
  Approach for MCS Adaptation in Sidelink Communication
From Empirical Measurements to Augmented Data Rates: A Machine Learning Approach for MCS Adaptation in Sidelink CommunicationIEEE Vehicular Technology Conference (VTC), 2023
Asif Abdullah Rokoni
Daniel Schäufele
Lars Schmidt-Thieme
Sławomir Stańczak
81
1
0
29 Sep 2023
Interpretable by Design: Learning Predictors by Composing Interpretable
  Queries
Interpretable by Design: Learning Predictors by Composing Interpretable QueriesIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Aditya Chattopadhyay
Stewart Slocum
B. Haeffele
René Vidal
D. Geman
307
33
0
03 Jul 2022
Deep Discriminative to Kernel Density Graph for In- and
  Out-of-distribution Calibrated Inference
Deep Discriminative to Kernel Density Graph for In- and Out-of-distribution Calibrated Inference
Jayanta Dey
Haoyin Xu
Will LeVine
Ashwin De Silva
Tyler M. Tomita
Ali Geisa
Tiffany Chu
Jacob Desman
Joshua T. Vogelstein
UQCV
396
0
0
31 Jan 2022
1
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