1 code implementation • Findings (NAACL) 2022 • Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu
Large-scale multilingual pre-trained language models have achieved remarkable performance in zero-shot cross-lingual tasks.
1 code implementation • EMNLP 2020 • Jianfeng He, Xuchao Zhang, Shuo Lei, Zhiqian Chen, Fanglan Chen, Abdulaziz Alhamadani, Bei Xiao, ChangTien Lu
The uncertainty measurement of classified results is especially important in areas requiring limited human resources for higher accuracy.
1 code implementation • 3 Jun 2023 • Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu
Meta-learning has emerged as a trending technique to tackle few-shot text classification and achieve state-of-the-art performance.
1 code implementation • 4 Aug 2022 • Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan
However, the search operators employed by these population-based methods are mostly designed for real-parameter continuous optimization problems.
1 code implementation • 8 Jun 2022 • Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan
Motivated by these recent developments, we develop a set of similar sampling techniques for designing school boundaries based on the flip proposal.
no code implementations • 26 Dec 2021 • Dongjie Wang, Yanjie Fu, Kunpeng Liu, Fanglan Chen, Pengyang Wang, Chang-Tien Lu
However, three major challenges arise: 1) how to define a quantitative land-use configuration?
1 code implementation • 9 Nov 2021 • Padmaksha Roy, Shailik Sarkar, Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu
The Gaussian Mixture Model layer is implemented to consider the multimodal nature of the real-time data while learning from multiple related time series.
1 code implementation • 21 Jul 2021 • Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu Aggarwal, Chang-Tien Lu
Deep learning's performance has been extensively recognized recently.
no code implementations • 3 Jul 2020 • Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu
Despite the great progress made by deep neural networks in the semantic segmentation task, traditional neural-networkbased methods typically suffer from a shortage of large amounts of pixel-level annotations.
no code implementations • 27 Feb 2020 • Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu Aggarwal, Chang-Tien Lu
Deep learning's success has been widely recognized in a variety of machine learning tasks, including image classification, audio recognition, and natural language processing.
1 code implementation • NAACL 2019 • Xuchao Zhang, Fanglan Chen, Chang-Tien Lu, Naren Ramakrishnan
The uncertainty measurement of classifiers' predictions is especially important in applications such as medical diagnoses that need to ensure limited human resources can focus on the most uncertain predictions returned by machine learning models.