A Self-Attentive model for Knowledge Tracing

Theoretical foundations for intelligent tutoring systems

John Self. 1990 · 1990

Earlier work this paper cites.

Adam: A method for stochastic optimization

Original

Diederik P Kingma and Jimmy Ba. 2014 · 2014

Earlier work this paper cites.

Deep knowledge tracing. In Advances in Neural Information Processing Systems

Chris Piech, Jonathan Bassen, Jonathan Huang, Surya Ganguli, Mehran Sahami, Leonidas J Guibas, and Jascha Sohl-Dickstein. 2015 · 2015

Earlier work this paper cites.

Layer normalization

Original

Jimmy Lei Ba, Jamie Ryan Kiros, and Geoffrey E Hinton. 2016 · 2016

Earlier work this paper cites.

Deep residual learning for image recognition. In Proceedings of the IEEE conference on computer vision and pattern recognition

Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016 · 2016

Cited alongside, same era.

How deep is knowledge tracing?

Original

Mohammad Khajah, Robert V Lindsey, and Michael C Mozer. 2016 · 2016

Cited alongside, same era.

One-shot learning with memory-augmented neural networks

Original

Adam Santoro, Sergey Bartunov, Matthew Botvinick, Daan Wierstra, and Timothy Lillicrap. 2016 · 2016

Cited alongside, same era.

Dynamic key-value memory networks for knowledge tracing. In Proceedings of the 26th International Conference on World Wide Web

Jiani Zhang, Xingjian Shi, Irwin King, and Dit-Yan Yeung

Cited in the paper.

Attention is all you need. In Advances in Neural Information Processing Systems

Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017

Later among the works it cites.

Self-Attentive Sequential Recommendation

Original

Wang-Cheng Kang and Julian McAuley. 2018 · 2018

Later among the works it cites.

Addressing two problems in deep knowledge tracing via prediction-consistent regularization

Original

Chun-Kit Yeung and Dit-Yan Yeung. 2018 · 2018

Later among the works it cites.