Search Results for author: Qiao Xiao

Found 4 papers, 2 papers with code

Dynamic Sparse Network for Time Series Classification: Learning What to "see''

1 code implementation19 Dec 2022 Qiao Xiao, Boqian Wu, Yu Zhang, Shiwei Liu, Mykola Pechenizkiy, Elena Mocanu, Decebal Constantin Mocanu

The receptive field (RF), which determines the region of time series to be ``seen'' and used, is critical to improve the performance for time series classification (TSC).

Time Series Time Series Analysis +1

Multi-Objective Meta Learning

no code implementations NeurIPS 2021 Feiyang Ye, Baijiong Lin, Zhixiong Yue, Pengxin Guo, Qiao Xiao, Yu Zhang

Empirically, we show the effectiveness of the proposed MOML framework in several meta learning problems, including few-shot learning, neural architecture search, domain adaptation, and multi-task learning.

Domain Adaptation Few-Shot Learning +2

Distant Transfer Learning via Deep Random Walk

no code implementations13 Jun 2020 Qiao Xiao, Yu Zhang

Transfer learning, which is to improve the learning performance in the target domain by leveraging useful knowledge from the source domain, often requires that those two domains are very close, which limits its application scope.

Transfer Learning

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