activity
20192024
most citedEnhancing Robustness of On-line Learning Models on Highly Noisy Data

11 citations · 18 across the 6 of their papers we have counts for

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Showing 2019Show all

2 papers · 1 filter

cs.LG2019

Feedback Control for Online Training of Neural Networks

Zilong Zhao, Sophie Cerf, Bogdan Robu +1

Convolutional neural networks (CNNs) are commonly used for image classification tasks, raising the challenge of their application on data flows. During their training, adaptation i…

cs.LG2019★ 1 cited

RAD: On-line Anomaly Detection for Highly Unreliable Data

Zilong Zhao, Robert Birke, Rui Han +4

Classification algorithms have been widely adopted to detect anomalies for various systems, e.g., IoT, cloud and face recognition, under the common assumption that the data source…