5 papers · 1 filter
An information-Theoretic Approach to Semi-supervised Transfer Learning
Daniel Jakubovitz, David Uliel, Miguel Rodrigues +1
Transfer learning is a valuable tool in deep learning as it allows propagating information from one "source dataset" to another "target dataset", especially in the case of a small…
AutoFraudNet: A Multimodal Network to Detect Fraud in the Auto Insurance Industry
Azin Asgarian, Rohit Saha, Daniel Jakubovitz +1
In the insurance industry detecting fraudulent claims is a critical task with a significant financial impact. A common strategy to identify fraudulent claims is looking for inconsi…
Lautum Regularization for Semi-supervised Transfer Learning
Daniel Jakubovitz, Miguel R. D. Rodrigues, Raja Giryes
Transfer learning is a very important tool in deep learning as it allows propagating information from one "source dataset" to another "target dataset", especially in the case of a…
Generalization Error in Deep Learning
Daniel Jakubovitz, Raja Giryes, Miguel R. D. Rodrigues
Deep learning models have lately shown great performance in various fields such as computer vision, speech recognition, speech translation, and natural language processing. However…
Improving DNN Robustness to Adversarial Attacks using Jacobian Regularization
Daniel Jakubovitz, Raja Giryes
Deep neural networks have lately shown tremendous performance in various applications including vision and speech processing tasks. However, alongside their ability to perform thes…