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Deeply Vulnerable -- a study of the robustness of face recognition to presentation attacks

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Deeply Vulnerable -- a study of the robustness of face recognition to presentation attacks

Graph Chatbot

Chattez avec Graph Search

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Deep Learning Generalization with Limited and Noisy Labels

Fundamental Limits in Statistical Learning Problems: Block Models and Neural Networks

Leveraging Unlabeled Data to Track Memorization

EpilepsyNet: Interpretable Self-Supervised Seizure Detection for Low-Power Wearable Systems

Regularization of polynomial networks for image recognition

BLACK-BOX ATTACKS ON IMAGE ACTIVITY PREDICTION AND ITS NATURAL LANGUAGE EXPLANATIONS

Stop Wasting my FLOPS: Improving the Efficiency of Deep Learning Models

On the robustness of randomized classifiers to adversarial examples

Regularization of polynomial networks for image recognition

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