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A framework for predicting, interpreting, and improving Learning
  Outcomes
v1v2 (latest)

A framework for predicting, interpreting, and improving Learning Outcomes

6 October 2020
Chintan Donda
Sayantani Dasgupta
S. Dhavala
Keyur Faldu
Aditi Avasthi
ArXiv (abs)PDFHTML

Papers citing "A framework for predicting, interpreting, and improving Learning Outcomes"

3 / 3 papers shown
Title
Beyond expectation: Deep joint mean and quantile regression for
  spatio-temporal problems
Beyond expectation: Deep joint mean and quantile regression for spatio-temporal problems
Filipe Rodrigues
Francisco Câmara Pereira
AI4TS
126
96
0
27 Aug 2018
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
Huifeng Guo
Ruiming Tang
Yunming Ye
Zhenguo Li
Xiuqiang He
124
2,659
0
13 Mar 2017
Deep Neural Networks are Easily Fooled: High Confidence Predictions for
  Unrecognizable Images
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images
Anh Totti Nguyen
J. Yosinski
Jeff Clune
AAML
174
3,275
0
05 Dec 2014
1