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Found 6 papers, 0 papers with code
SeMAnD: Self-Supervised Anomaly Detection in Multimodal Geospatial Datasets
We propose a Self-supervised Anomaly Detection technique, called SeMAnD, to detect geometric anomalies in Multimodal geospatial datasets.
ParGANDA: Making Synthetic Pedestrians A Reality For Object Detection
Object detection is the key technique to a number of Computer Vision applications, but it often requires large amounts of annotated data to achieve decent results.
Generative Adversarial Network
Image-to-Image Translation
+4
Training generative models from privatized data
Local differential privacy is a powerful method for privacy-preserving data collection.
Understanding Entropic Regularization in GANs
We show that the optimal generator can be learned to accuracy $\epsilon$ with $O(1/\epsilon^2)$ samples from the target distribution.
Multi-class classification: mirror descent approach
We consider the problem of multi-class classification and a stochastic opti- mization approach to it.
Tight Risk Bounds for Multi-Class Margin Classifiers
We consider a problem of risk estimation for large-margin multi-class classifiers.
