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09/03/2023
Cognition-Mode Aware Variational Representation Learning Framework for Knowledge Tracing
The Knowledge Tracing (KT) task plays a crucial role in personalized lea...
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08/11/2023
Focused Specific Objects NeRF
Most NeRF-based models are designed for learning the entire scene, and c...
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08/07/2023
No Length Left Behind: Enhancing Knowledge Tracing for Modeling Sequences of Excessive or Insufficient Lengths
Knowledge tracing (KT) aims to predict students' responses to practices ...
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08/07/2023
Counterfactual Monotonic Knowledge Tracing for Assessing Students' Dynamic Mastery of Knowledge Concepts
As the core of the Knowledge Tracking (KT) task, assessing students' dyn...
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07/18/2023
qecGPT: decoding Quantum Error-correcting Codes with Generative Pre-trained Transformers
We propose a general framework for decoding quantum error-correcting cod...
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05/31/2023
Managed Geo-Distributed Feature Store: Architecture and System Design
Companies are using machine learning to solve real-world problems and ar...
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11/12/2022
Affinity Feature Strengthening for Accurate, Complete and Robust Vessel Segmentation
Vessel segmentation is essential in many medical image applications, suc...
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08/10/2021
Multi-Factors Aware Dual-Attentional Knowledge Tracing
With the increasing demands of personalized learning, knowledge tracing ...
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08/06/2021
TS4Net: Two-Stage Sample Selective Strategy for Rotating Object Detection
Rotating object detection has wide applications in aerial photographs, r...
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05/10/2021
Boltzmann machines as two-dimensional tensor networks
Restricted Boltzmann machines (RBM) and deep Boltzmann machines (DBM) ar...
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06/26/2019
Neural-network based general method for statistical mechanics on sparse systems
We propose a general method for solving statistical mechanics problems d...
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05/21/2019