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Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules.

, , , , , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 6972-6986. PMLR, (2020)

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Unlearning via Sparse Representations., , , , , , , and . CoRR, (2023)Inferring Student Comprehension from Highlighting Patterns in Digital Textbooks: An Exploration in an Authentic Learning Platform., , , , , and . iTextbooks@AIED, volume 2674 of CEUR Workshop Proceedings, page 67-79. CEUR-WS.org, (2020)Rule Induction Through Integrated Symbolic and Subsymbolic Processing, , and . Advances in Neural Information Processing Systems 4, San Francisco, CA: Morgan Kaufmann, (1992)Does Deep Knowledge Tracing Model Interactions Among Skills?, , , , and . EDM, International Educational Data Mining Society (IEDMS), (2018)Textbook annotations as an early predictor of student learning., , , , and . EDM, International Educational Data Mining Society (IEDMS), (2018)On the Computational Utility of Consciousness., and . NIPS, page 11-18. MIT Press, (1994)TRAFFIC: Recognizing Objects Using Hierarchical Reference Frame Transformations., , and . NIPS, page 266-273. Morgan Kaufmann, (1989)Improving Human Judgments by Decontaminating Sequential Dependencies., , , , , and . NIPS, page 1705-1713. Curran Associates, Inc., (2010)Rule Induction through Integrated Symbolic and Subsymbolic Processing., , and . NIPS, page 969-976. Morgan Kaufmann, (1991)Learning to Segment Images Using Dynamic Feature Binding., , and . NIPS, page 436-443. Morgan Kaufmann, (1991)