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Found 5 papers, 1 papers with code
An information-Theoretic Approach to Semi-supervised Transfer Learning
We focus on the task of semi-supervised transfer learning, in which unlabeled samples from the target dataset are available during network training on the source dataset.
AutoFraudNet: A Multimodal Network to Detect Fraud in the Auto Insurance Industry
In the insurance industry detecting fraudulent claims is a critical task with a significant financial impact.
Lautum Regularization for Semi-supervised Transfer Learning
We focus on the task of semi-supervised transfer learning, in which unlabeled samples from the target dataset are available during the network training on the source dataset.
Generalization Error in Deep Learning
Deep learning models have lately shown great performance in various fields such as computer vision, speech recognition, speech translation, and natural language processing.
Improving DNN Robustness to Adversarial Attacks using Jacobian Regularization
We demonstrate empirically that it leads to enhanced robustness results with a minimal change in the original network's accuracy.
