9:27How powerful are Graph Neural Networks - Oxford Geometric Deep LearningFederico Barbero2.1K views·3 years ago
8:42Transformers are Graph Attention Networks ! - Oxford Geometric Deep LearningFederico Barbero5.3K views·3 years ago
13:56Graph Convolutional Networks - Oxford Geometric Deep LearningFederico Barbero18.0K views·3 years ago
19:39Transcending TRANSCEND Revisiting Malware Classification in the Presence of Concept DriftFederico Barbero285 views·3 years ago
19:04Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial PerturbationsFederico Barbero972 views·5 years ago
14:10Tempered Sigmoid Activations for Deep Learning with Differential PrivacyFederico Barbero351 views·5 years ago
15:12Regularisation of Neural Networks by Enforcing Lipschitz ContinuityFederico Barbero1.7K views·5 years ago
19:04Spectral Norm Regularization for Improving the Generalizability of Deep LearningFederico Barbero2.6K views·5 years ago
9:58Developing a Deep Learning Library - LeCun's MNIST classifier - Part 3Federico Barbero404 views·5 years ago
11:10Developing a Deep Learning Library - Adam, RELU and Scikit-learn API - Part 2Federico Barbero309 views·5 years ago
22:09Developing a Deep Learning Library - JoelNet Library and Neural Networks - Part 1Federico Barbero512 views·5 years ago
7:11Tutorial on the Fast Gradient Sign Method for Adversarial SamplesFederico Barbero10.5K views·5 years ago
19:10Lipschitz Regularization of Neural Networks - Intriguing Properties of Neural NetworksFederico Barbero2.5K views·5 years ago
20:54What are Adversarial Samples in Machine Learning - Explaining and Harnessing Adversarial SamplesFederico Barbero4.0K views·5 years ago