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05/23/2023
One-stop Training of Multiple Capacity Models for Multilingual Machine Translation
Training models with varying capacities can be advantageous for deployin...
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02/24/2023
Time-aware Multiway Adaptive Fusion Network for Temporal Knowledge Graph Question Answering
Knowledge graphs (KGs) have received increasing attention due to its wid...
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10/18/2022
ROSE: Robust Selective Fine-tuning for Pre-trained Language Models
Even though the large-scale language models have achieved excellent perf...
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02/19/2022
An Unsupervised Attentive-Adversarial Learning Framework for Single Image Deraining
Single image deraining has been an important topic in low-level computer...
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02/19/2022
Holistic Attention-Fusion Adversarial Network for Single Image Defogging
Adversarial learning-based image defogging methods have been extensively...
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06/18/2021
Identifying intracity freight trip ends from heavy truck GPS trajectories
Intracity heavy truck freight trips are basic data in city freight syste...
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02/24/2021
Hybrid Car-Following Strategy based on Deep Deterministic Policy Gradient and Cooperative Adaptive Cruise Control
Deep deterministic policy gradient (DDPG) based car-following strategy c...
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04/20/2020
Roundtrip: A Deep Generative Neural Density Estimator
Density estimation is a fundamental problem in both statistics and machi...
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05/31/2018
Respond-CAM: Analyzing Deep Models for 3D Imaging Data by Visualizations
The convolutional neural network (CNN) has become a powerful tool for va...
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05/29/2017