Deep Learning
New computational algorithms make it possible to build neural networks with many input nodes and many layers, and distinguish "deep learning" of these networks from previous work on artificial neural nets.
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Hierarchically Gated Recurrent Neural Network for Sequence Modeling
Neural Information Processing Systems
Recently, there has been a renewed interest in using linear RNNs for efficient sequence modeling.
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XES3G5M: A Knowledge Tracing Benchmark Dataset with Auxiliary Information
Neural Information Processing Systems
Knowledge tracing (KT) is a task that predicts students' future performance based on their historical learning interactions.
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