Weipeng Huang | DeepAI

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∙ 09/13/2022

Rényi Divergence Deep Mutual Learning

This paper revisits an incredibly simple yet exceedingly effective compu...

0 Weipeng Huang, et al. ∙

∙ 05/14/2021

Posterior Regularisation on Bayesian Hierarchical Mixture Clustering

We study a recent inferential framework, named posterior regularisation,...

0 Weipeng Huang, et al. ∙

∙ 08/19/2019

Evaluating Hierarchies through A Partially Observable Markov Decision Processes Methodology

Hierarchical clustering has been shown to be valuable in many scenarios,...

0 Weipeng Huang, et al. ∙

∙ 08/16/2019

BERT-Based Multi-Head Selection for Joint Entity-Relation Extraction

In this paper, we report our method for the Information Extraction task ...

0 Weipeng Huang, et al. ∙

∙ 07/17/2019

t-k-means: A k-means Variant with Robustness and Stability

Lloyd's k-means algorithm is one of the most classical clustering method...

16 Yang Zhang, et al. ∙

∙ 05/13/2019

Bayesian Hierarchical Mixture Clustering using Multilevel Hierarchical Dirichlet Processes

This paper focuses on the problem of hierarchical non-overlapping cluste...

0 Weipeng Huang, et al. ∙

∙ 03/11/2019

Toward Fast and Accurate Neural Chinese Word Segmentation with Multi-Criteria Learning

The ambiguous annotation criteria bring into the divergence of Chinese W...

0 Weipeng Huang, et al. ∙

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