Search Results for author:
Found 5 papers, 0 papers with code
MHLR: Moving Haar Learning Rate Scheduler for Large-scale Face Recognition Training with One GPU
MHLR supports large-scale FR training with only one GPU, which is able to accelerate the model to 1/4 of its original training time without sacrificing more than 1% accuracy.
X2-Softmax: Margin Adaptive Loss Function for Face Recognition
Learning the discriminative features of different faces is an important task in face recognition.
Energy Storage Price Arbitrage via Opportunity Value Function Prediction
This paper proposes a novel energy storage price arbitrage algorithm combining supervised learning with dynamic programming.
GIU-GANs: Global Information Utilization for Generative Adversarial Networks
To overcome the aforementioned limitations, in this paper, we propose a new GANs called Involution Generative Adversarial Networks (GIU-GANs).
KDCTime: Knowledge Distillation with Calibration on InceptionTime for Time-series Classification
Time-series classification approaches based on deep neural networks are easy to be overfitting on UCR datasets, which is caused by the few-shot problem of those datasets.
