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09/13/2022
Rényi Divergence Deep Mutual Learning
This paper revisits an incredibly simple yet exceedingly effective compu...
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05/14/2021
Posterior Regularisation on Bayesian Hierarchical Mixture Clustering
We study a recent inferential framework, named posterior regularisation,...
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08/19/2019
Evaluating Hierarchies through A Partially Observable Markov Decision Processes Methodology
Hierarchical clustering has been shown to be valuable in many scenarios,...
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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 ...
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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...
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05/13/2019
Bayesian Hierarchical Mixture Clustering using Multilevel Hierarchical Dirichlet Processes
This paper focuses on the problem of hierarchical non-overlapping cluste...
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03/11/2019