Samir Sabag

Interpretability and Explainability Transfer Learning and Pretrained Models Scalability and Efficiency: Adversarial Machine Learning Reinforcement Learning Generative Models: Generative models, such as generative adversarial networks (GANs) and variational autoencoders (VAEs), are capable of generating new samples that resemble the training data distribution.