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Chapter and Conference Paper
SwinFusion: Channel Query-Response Based Feature Fusion for Monocular Depth Estimation
Given a single RGB image, Monocular Depth Estimation (MDE) predicts the depth of each pixel by utilizing both global and local information. Most MDE networks use simple skip connections, each skip connection o...
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Chapter and Conference Paper
Long-Term and Short-Term Perception in Knowledge Tracing
Knowledge Tracing (KT) is a fundamental task in contemporary intelligent educational systems, which tracks the knowledge states of the learners based on their response sequences. KT is crucial for the effectiv...
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Chapter and Conference Paper
An Effective Gated and Attention-Based Neural Network Model for Fine-Grained Financial Target-Dependent Sentiment Analysis
In this work, we propose an effective neural network architecture GABi-LSTM to address fine-grained financial target-dependent sentiment analysis from financial microblogs and news. We first adopt a gated mech...