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Dropout as a Regularizer of Interaction Effects
v1v2 (latest)

Dropout as a Regularizer of Interaction Effects

2 July 2020
Benjamin J. Lengerich
Eric Xing
R. Caruana
ArXiv (abs)PDFHTML

Papers citing "Dropout as a Regularizer of Interaction Effects"

5 / 5 papers shown
Reasoning Bias of Next Token Prediction Training
Reasoning Bias of Next Token Prediction Training
Pengxiao Lin
Zhongwang Zhang
Zhi-Qin John Xu
LRM
545
3
0
21 Feb 2025
Contextualized Machine Learning
Contextualized Machine Learning
Ben Lengerich
Caleb N. Ellington
Andrea Rubbi
Manolis Kellis
Eric Xing
BDL
184
8
0
17 Oct 2023
Bayesian Neural Networks Avoid Encoding Complex and
  Perturbation-Sensitive Concepts
Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive ConceptsInternational Conference on Machine Learning (ICML), 2023
Qihan Ren
Huiqi Deng
Yunuo Chen
Siyu Lou
Quanshi Zhang
BDLAAML
321
13
0
25 Feb 2023
Implicit regularization of dropout
Implicit regularization of dropoutIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Zhongwang Zhang
Zhi-Qin John Xu
381
58
0
13 Jul 2022
Neuron-Specific Dropout: A Deterministic Regularization Technique to
  Prevent Neural Networks from Overfitting & Reduce Dependence on Large
  Training Samples
Neuron-Specific Dropout: A Deterministic Regularization Technique to Prevent Neural Networks from Overfitting & Reduce Dependence on Large Training Samples
Joshua Shunk
215
5
0
13 Jan 2022
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