Learning object representations through amortized inference over probabilistic programs
Francisco Silva, Hélder P. Oliveira, Tania Pereira.
Action editor: Andres Masegosa.
https://t.co/PrLuVsMPYY
#generative#representations#feature
Daniel Kahneman:
“If I were starting my career now, I would be choosing between artificial intelligence and neuroscience, because those are now particularly exciting ways of looking at human nature.”
https://t.co/vDigCm3eAv
How Does The Brain Develop Language? Latest video presentation from The Life of the Mind. (Please don't ask whether it's innate or learned - I always try to characterize the innate mechanisms that do the learning.) https://t.co/uqZr1WHtQ2 via @YouTube
Hey! Enjoying INVICTA so far? Let us show you some of the highlights of the Day 4 of this Spring School!
On Day 4, powered by @nilg_ai, we learned about Explainable AI with @anna_hedstroem. We also listened to an interesting AI Talk about Business Centric AI, given by @nilg_ai.
Hey! Enjoying INVICTA so far? Let us show you some of the highlights of the Day 3 of this Spring School!
On Day 3, powered by Bosch Portugal, we learned about Causality for Machine Learning with @JKugelgen.
Hey! Enjoying INVICTA so far? Let us show you some of the highlights of the Day 2 of this Spring School!
On Day 2, we learned about Continual Learning with @GMvandeVen.
We did not forget about the Social Events! On this day, we hosted a social visit to "Casa do Infante".
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The black-box nature of deep learning models inhibits their translation into the clinical environment. In task 4, you perform an associative analysis of features extracted by neural networks and semantic features annotated by clinicians. Mentors: Francisco, Tânia, Hélder.
Review: Towards Machine Learning-Aided Lung Cancer Clinical Routines: Approaches and Open Challenges by Mr. Francisco Silva and Dr. Tania Pereira
https://t.co/56xtInWKgO #mdpijpm via @JPM_MDPI