Machine Learning

Hi everyone, I would like to share with you my recent review of active learning for DL. I begin by introducing the concepts, then present the […]

https://youtu.be/-_2AF9Lhweo Transformers are notoriously resource-intensive because their self-attention mechanism requires a squared number of memory and computations in the length of the input sequence. The Linformer […]

Hello, I wrote my first blog post, “An Overview of Deep Semi-Supervised Learning” where I go through the main SSL approaches, from Ladder Network up to […]

Code: https://github.com/SeldonIO/alibi Blog post: https://www.seldon.io/seldon-releases-alibi-explain-0-5-0 Theoretical overview of new methods: Accumulated Local Effects Tree Shapley Additive Values Integrated Gradients We've just released a new version of […]