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Admission Prediction in Undergraduate Applications: an Interpretable
  Deep Learning Approach

Admission Prediction in Undergraduate Applications: an Interpretable Deep Learning Approach

22 January 2024
Amisha Priyadarshini
Barbara Martinez Neda
Sergio Gago Masagué
    FAtt
ArXiv (abs)PDFHTML

Papers citing "Admission Prediction in Undergraduate Applications: an Interpretable Deep Learning Approach"

5 / 5 papers shown
Title
AI and Holistic Review: Informing Human Reading in College Admissions
AI and Holistic Review: Informing Human Reading in College Admissions
AJ Alvero
Noah Arthurs
A. Antonio
B. Domingue
Ben Gebre-Medhin
Sonia Giebel
M. Stevens
37
37
0
17 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
556
42,639
0
03 Dec 2019
Input Convex Neural Networks
Input Convex Neural Networks
Brandon Amos
Lei Xu
J. Zico Kolter
289
625
0
22 Sep 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
1.2K
17,071
0
16 Feb 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,364
0
22 Dec 2014
1