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01/17/2022
Contrastive Regularization for Semi-Supervised Learning
Consistency regularization on label predictions becomes a fundamental te...
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09/21/2020
Regularizing Attention Networks for Anomaly Detection in Visual Question Answering
For stability and reliability of real-world applications, the robustness...
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07/07/2020
Soft Labeling Affects Out-of-Distribution Detection of Deep Neural Networks
Soft labeling becomes a common output regularization for generalization ...
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05/26/2019
Demand Forecasting from Spatiotemporal Data with Graph Networks and Temporal-Guided Embedding
Short-term demand forecasting models commonly combine convolutional and ...
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11/23/2016
PVANet: Lightweight Deep Neural Networks for Real-time Object Detection
In object detection, reducing computational cost is as important as impr...
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08/29/2016