Tianpei Xie — accepted AI-conference papers

2024

SwitchTab: Switched Autoencoders Are Effective Tabular Learners

Jing Wu, Suiyao Chen, Qi Zhao, Renat Sergazinov, Chen Li, Shengjie Liu +6

AAAI 2024technical

Self-supervised representation learning methods have achieved significant success in computer vision and natural language processing (NLP), where data samples exhibit explicit spatial or semantic dependencies. However, applying these methods to tabular data is challenging due to the less pronounced…

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2015

Semi-supervised multi-sensor classification via consensus-based Multi-View Maximum Entropy Discrimination

Tianpei Xie, Nasser M. Nasrabadi, Alfred O. Hero III

ICASSP 2015accepted

In this paper, we consider multi-sensor classification when there is a large number of unlabeled samples. The problem is formulated under the multi-view learning framework and a Consensus-based Multi-View Maximum Entropy Discrimination (CMV-MED) algorithm is proposed. By iteratively maximizing the s…

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