9:27 How powerful are Graph Neural Networks? - Oxford Geometric Deep Learning Federico Barbero 2.1K views - 3 years ago
8:42 Transformers are Graph Attention Networks !? - Oxford Geometric Deep Learning Federico Barbero 5.3K views - 3 years ago
9:09 Graph Attention Networks - Oxford Geometric Deep Learning Federico Barbero 4.9K views - 3 years ago
13:56 Graph Convolutional Networks - Oxford Geometric Deep Learning Federico Barbero 17.6K views - 3 years ago
19:39 Transcending TRANSCEND: Revisiting Malware Classification in the Presence of Concept Drift Federico Barbero 282 views - 3 years ago
10:20 Generators in Python: What are they and their advantages! Federico Barbero 334 views - 5 years ago
8:39 Why Python list comprehensions are faster and more elegant Federico Barbero 1.8K views - 5 years ago
15:41 Improving your Python by understanding Python bytecode! Federico Barbero 4.8K views - 5 years ago
19:04 Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial Perturbations Federico Barbero 962 views - 5 years ago
14:10 Tempered Sigmoid Activations for Deep Learning with Differential Privacy Federico Barbero 349 views - 5 years ago
15:12 Regularisation of Neural Networks by Enforcing Lipschitz Continuity Federico Barbero 1.7K views - 5 years ago
19:04 Spectral Norm Regularization for Improving the Generalizability of Deep Learning Federico Barbero 2.6K views - 5 years ago
9:58 Developing a Deep Learning Library - LeCun's MNIST classifier - Part 3 Federico Barbero 398 views - 5 years ago
11:10 Developing a Deep Learning Library - Adam, RELU and Scikit-learn API - Part 2 Federico Barbero 307 views - 5 years ago
22:09 Developing a Deep Learning Library - JoelNet Library and Neural Networks - Part 1 Federico Barbero 510 views - 5 years ago
7:11 Tutorial on the Fast Gradient Sign Method for Adversarial Samples Federico Barbero 10.4K views - 5 years ago
19:10 Lipschitz Regularization of Neural Networks - Intriguing Properties of Neural Networks Federico Barbero 2.5K views - 5 years ago
20:54 What are Adversarial Samples in Machine Learning? - Explaining and Harnessing Adversarial Samples Federico Barbero 3.9K views - 5 years ago