45 citations · 55 across the 4 of their papers we have counts for
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cs.LG2021★ 2 cited
Drill the Cork of Information Bottleneck by Inputting the Most Important Data
Xinyu Peng, Jiawei Zhang, Fei-Yue Wang +1
Deep learning has become the most powerful machine learning tool in the last decade. However, how to efficiently train deep neural networks remains to be thoroughly solved. The wid…
cs.LG2019★ 7 cited
Accelerating Minibatch Stochastic Gradient Descent using Typicality Sampling
Xinyu Peng, Li Li, Fei-Yue Wang
Machine learning, especially deep neural networks, has been rapidly developed in fields including computer vision, speech recognition and reinforcement learning. Although Mini-batc…
cs.LG2017★ 45 cited
DeepTrend: A Deep Hierarchical Neural Network for Traffic Flow Prediction
Xingyuan Dai, Rui Fu, Yilun Lin +2
In this paper, we consider the temporal pattern in traffic flow time series, and implement a deep learning model for traffic flow prediction. Detrending based methods decompose ori…