Towards an Appropriate Query, Key, and Value Computation for Knowledge Tracing-Reference-Cited by-同舟云学术

Towards an Appropriate Query, Key, and Value Computation for Knowledge Tracing

Published:2020-08-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Seventh ACM Conference on Learning @ Scale
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Author:

Choi Youngduck¹,Lee Youngnam²,Cho Junghyun²,Baek Jineon³,Kim Byungsoo²,Cha Yeongmin²,Shin Dongmin²,Bae Chan⁴,Heo Jaewe²

Affiliation:

1. Riiid! AI Research & Yale University, Seoul, Republic of Korea

2. Riiid! AI Research, Seoul, Republic of Korea

3. Riiid! AI Research & University of Michigan, Seoul, Republic of Korea

4. Riiid! AI Research, UC Berkeley, Seoul, Republic of Korea

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3386527.3405945

Reference8 articles.

1. Jimmy Lei Ba Jamie Ryan Kiros and Geoffrey E Hinton. 2016. Layer normalization. arXiv preprint arXiv:1607.06450 (2016). Jimmy Lei Ba Jamie Ryan Kiros and Geoffrey E Hinton. 2016. Layer normalization. arXiv preprint arXiv:1607.06450 (2016).

2. Youngduck Choi Youngnam Lee Dongmin Shin Junghyun Cho Seoyon Park Seewoo Lee Jineon Baek Byungsoo Kim and Youngjun Jang. 2019. EdNet: A Large-Scale Hierarchical Dataset in Education. (2019). Youngduck Choi Youngnam Lee Dongmin Shin Junghyun Cho Seoyon Park Seewoo Lee Jineon Baek Byungsoo Kim and Youngjun Jang. 2019. EdNet: A Large-Scale Hierarchical Dataset in Education. (2019).

3. Deep Residual Learning for Image Recognition

4. Neural Collaborative Filtering

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