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06/03/2023
TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation
Meta-learning has emerged as a trending technique to tackle few-shot tex...
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08/04/2022
Memetic algorithms for Spatial Partitioning problems
Spatial optimization problems (SOPs) are characterized by spatial relati...
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06/08/2022
Sampling-based techniques for designing school boundaries
Recently, an increasing number of researchers, especially in the realm o...
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12/26/2021
Automated Urban Planning for Reimagining City Configuration via Adversarial Learning: Quantification, Generation, and Evaluation
Urban planning refers to the efforts of designing land-use configuration...
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11/09/2021
Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information
Modeling the spatiotemporal nature of the spread of infectious diseases ...
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07/21/2021
Bridging the Gap between Spatial and Spectral Domains: A Theoretical Framework for Graph Neural Networks
During the past decade, deep learning's performance has been widely reco...
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07/03/2020
Few-Shot Semantic Segmentation Augmented with Image-Level Weak Annotations
Despite the great progress made by deep neural networks in the semantic ...
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02/27/2020
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks
The success of deep learning has been widely recognized in many machine ...
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07/17/2019
Mitigating Uncertainty in Document Classification
The uncertainty measurement of classifiers' predictions is especially im...
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12/05/2017
