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04/07/2023
ASPEST: Bridging the Gap Between Active Learning and Selective Prediction
Selective prediction aims to learn a reliable model that abstains from m...
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03/03/2022
Data-Efficient and Interpretable Tabular Anomaly Detection
Anomaly detection (AD) plays an important role in numerous applications....
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02/04/2022
Decoupling Local and Global Representations of Time Series
Real-world time series data are often generated from several sources of ...
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12/03/2019
Distance-Based Learning from Errors for Confidence Calibration
Deep neural networks (DNNs) are poorly-calibrated when trained in conven...
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07/07/2019
EPNAS: Efficient Progressive Neural Architecture Search
In this paper, we propose Efficient Progressive Neural Architecture Sear...
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05/24/2017