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Unbounded Human Learning: Optimal Scheduling for Spaced Repetition
23 February 2016
S. Reddy
I. Labutov
Siddhartha Banerjee
Thorsten Joachims
CLL
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Papers citing
"Unbounded Human Learning: Optimal Scheduling for Spaced Repetition"
16 / 16 papers shown
KARL: Knowledge-Aware Retrieval and Representations aid Retention and Learning in Students
Matthew Shu
Nishant Balepur
Shi Feng
Jordan L. Boyd-Graber
AI4Ed
HAI
213
6
0
19 Feb 2024
Least Squares Maximum and Weighted Generalization-Memorization Machines
Shuai Wang
Zhen Wang
Yuanfu Shao
192
1
0
31 Aug 2023
SmartPhone: Exploring Keyword Mnemonic with Auto-generated Verbal and Visual Cues
International Conference on Artificial Intelligence in Education (AIED), 2023
Jaewook Lee
Andrew Lan
139
9
0
11 May 2023
Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics
IEEE Transactions on Emerging Topics in Computing (IEEE TETC), 2022
Yun-Wei Chu
Seyyedali Hosseinalipour
Elizabeth Tenorio
Laura Cruz
K. Douglas
Andrew Lan
Christopher G. Brinton
AI4Ed
322
18
0
05 Dec 2022
Mitigating Biases in Student Performance Prediction via Attention-Based Personalized Federated Learning
International Conference on Information and Knowledge Management (CIKM), 2022
Yun-Wei Chu
Seyyedali Hosseinalipour
Elizabeth Tenorio
Laura Cruz
K. Douglas
Andrew Lan
Christopher G. Brinton
FedML
AI4Ed
256
32
0
02 Aug 2022
Multi-Factors Aware Dual-Attentional Knowledge Tracing
International Conference on Information and Knowledge Management (CIKM), 2021
Moyu Zhang
Xinning Zhu
Chunhong Zhang
Yang Ji
Feng Pan
Changchuan Yin
AI4Ed
346
57
0
10 Aug 2021
Improving Artificial Teachers by Considering How People Learn and Forget
International Conference on Intelligent User Interfaces (IUI), 2021
Aurélien Nioche
Pierre-Alexandre Murena
Carlos de la Torre-Ortiz
Antti Oulasvirta
178
13
0
08 Feb 2021
Large-scale randomized experiment reveals machine learning helps people learn and remember more effectively
U. Upadhyay
Graham Lancashire
Christoph Moser
Manuel Gomez Rodriguez
HAI
133
2
0
09 Oct 2020
Context-Aware Attentive Knowledge Tracing
Knowledge Discovery and Data Mining (KDD), 2020
Aritra Ghosh
Neil T. Heffernan
Andrew Lan
AI4Ed
HAI
408
565
0
24 Jul 2020
Privacy-Preserving Deep Action Recognition: An Adversarial Learning Framework and A New Dataset
Zhenyu Wu
Haotao Wang
Zhaowen Wang
Hailin Jin
Zinan Lin
AAML
PICV
587
15
0
12 Jun 2019
DAS3H: Modeling Student Learning and Forgetting for Optimally Scheduling Distributed Practice of Skills
Educational Data Mining (EDM), 2019
Benoît Choffin
Fabrice Popineau
Yolaine Bourda
Jill-Jênn Vie
CLL
191
99
0
14 May 2019
Deep Reinforcement Learning of Marked Temporal Point Processes
U. Upadhyay
A. De
Manuel Gomez Rodriguez
BDL
OffRL
308
116
0
23 May 2018
Teaching Multiple Concepts to a Forgetful Learner
Anette Hunziker
Yuxin Chen
Oisin Mac Aodha
Manuel Gomez Rodriguez
Andreas Krause
Pietro Perona
Yisong Yue
Adish Singla
CLL
461
39
0
21 May 2018
Steering Social Activity: A Stochastic Optimal Control Point Of View
Ali Zarezade
A. De
U. Upadhyay
Hamid R. Rabiee
Manuel Gomez Rodriguez
LLMSV
228
36
0
19 Feb 2018
Optimizing Human Learning
Behzad Tabibian
U. Upadhyay
A. De
Ali Zarezade
Bernhard Schölkopf
Manuel Gomez Rodriguez
177
7
0
05 Dec 2017
Cheshire: An Online Algorithm for Activity Maximization in Social Networks
Ali Zarezade
A. De
Hamid R. Rabiee
Manuel Gomez Rodriguez
222
12
0
06 Mar 2017
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