1 code implementation • 29 Oct 2023 • Eoin M. Kenny, Weipeng Huang
When users receive either a positive or negative outcome from an automated system, Explainable AI (XAI) has almost exclusively focused on how to mutate negative outcomes into positive ones by crossing a decision boundary using counterfactuals (e. g., \textit{"If you earn 2k more, we will accept your loan application"}).
1 code implementation • 13 Sep 2022 • Weipeng Huang, Junjie Tao, Changbo Deng, Ming Fan, Wenqiang Wan, Qi Xiong, Guangyuan Piao
This paper revisits Deep Mutual Learning (DML), a simple yet effective computing paradigm.
no code implementations • 14 May 2021 • Weipeng Huang, Tin Lok James Ng, Nishma Laitonjam, Neil J. Hurley
Bayesian hierarchical mixture clustering (BHMC) improves traditionalBayesian hierarchical clustering by replacing conventional Gaussian-to-Gaussian kernels with a Hierarchical Dirichlet Process Mixture Model(HDPMM) for parent-to-child diffusion in the generative process.
no code implementations • COLING 2020 • Weipeng Huang, Xingyi Cheng, Kunlong Chen, Taifeng Wang, Wei Chu
The ambiguous annotation criteria lead to divergence of Chinese Word Segmentation (CWS) datasets in various granularities.
no code implementations • 19 Aug 2019 • Weipeng Huang, Guangyuan Piao, Raul Moreno, Neil J. Hurley
Hierarchical clustering has been shown to be valuable in many scenarios.
1 code implementation • 16 Aug 2019 • Weipeng Huang, Xingyi Cheng, Taifeng Wang, Wei Chu
Combining these three contributions, we enhance the information extracting ability of the multi-head selection model and achieve F1-score 0. 876 on testset-1 with a single model.
1 code implementation • 17 Jul 2019 • Yiming Li, Yang Zhang, Qingtao Tang, Weipeng Huang, Yong Jiang, Shu-Tao Xia
$k$-means algorithm is one of the most classical clustering methods, which has been widely and successfully used in signal processing.
no code implementations • 13 May 2019 • Weipeng Huang, Nishma Laitonjam, Guangyuan Piao, Neil Hurley
This paper focuses on the problem of hierarchical non-overlapping clustering of a dataset.
no code implementations • 11 Mar 2019 • Weipeng Huang, Xingyi Cheng, Kunlong Chen, Taifeng Wang, Wei Chu
The ambiguous annotation criteria lead to divergence of Chinese Word Segmentation (CWS) datasets in various granularities.