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06/06/2023
Reconstructing human activities via coupling mobile phone data with location-based social networks
In the era of big data, the ubiquity of location-aware portable devices ...
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02/18/2023
MaxGNR: A Dynamic Weight Strategy via Maximizing Gradient-to-Noise Ratio for Multi-Task Learning
When modeling related tasks in computer vision, Multi-Task Learning (MTL...
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02/18/2023
Improving the Out-Of-Distribution Generalization Capability of Language Models: Counterfactually-Augmented Data is not Enough
Counterfactually-Augmented Data (CAD) has the potential to improve langu...
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01/13/2023
Contrast with Major Classifier Vectors for Federated Medical Relation Extraction with Heterogeneous Label Distribution
Federated medical relation extraction enables multiple clients to train ...
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06/12/2022
Human Mobility Prediction with Causal and Spatial-constrained Multi-task Network
Modeling human mobility helps to understand how people are accessing res...
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03/02/2022
Machine Learning Methods in Solving the Boolean Satisfiability Problem
This paper reviews the recent literature on solving the Boolean satisfia...
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09/12/2021
End-to-End Conversational Search for Online Shopping with Utterance Transfer
Successful conversational search systems can present natural, adaptive a...
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09/10/2021
Enhancing Unsupervised Anomaly Detection with Score-Guided Network
Anomaly detection plays a crucial role in various real-world application...
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05/18/2021
Dependent Multi-Task Learning with Causal Intervention for Image Captioning
Recent work for image captioning mainly followed an extract-then-generat...
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02/02/2021
Anomaly Detection of Time Series with Smoothness-Inducing Sequential Variational Auto-Encoder
Deep generative models have demonstrated their effectiveness in learning...
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01/31/2021
Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting
Time-series is ubiquitous across applications, such as transportation, f...
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01/31/2021
Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting
Probabilistic time series forecasting involves estimating the distributi...
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07/02/2019
Disentangled Makeup Transfer with Generative Adversarial Network
Facial makeup transfer is a widely-used technology that aims to transfer...
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11/19/2018
Show, Attend and Translate: Unpaired Multi-Domain Image-to-Image Translation with Visual Attention
Recently unpaired multi-domain image-to-image translation has attracted ...
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05/22/2018
What has been Revealed by Urban Grid Data of Shanghai
With the fast-growing economy in the past ten years, cities in China hav...
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10/17/2017
Multi-Task Label Embedding for Text Classification
Multi-task learning in text classification leverages implicit correlatio...
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07/10/2017
