This is a group for anyone willing to learn and share ideas and expertise in Machine Learning. The members practice ML inside academia, industry or as a hobby. Our current focus is on Vision (deep learning network architectures), Visual QA, NLP and Reinforcement Learning. On medium term, we want to extend our topics to other ML areas such as Unsupervised Learning, Transfer Learning and Memory Networks.
During our meetups, presenters will share state-of-the-art papers and results, will present our own research projects, papers and ideas. The main objective of the meetups is to foster conversations related to ML topics between academia and industry, between beginners and experts, between theoreticians (including mathematicians) and practitioners.
We hope that by creating and growing a true ML community all of us will foster, we will be able to have more collaborations and to grow together.
We invite you to our two lectures that introduce concepts used in Graph Neural Networks (GNNs). GNNs are useful methods for modeling data that is structured as a graph or contains useful relations between different entities. These methods are successfully applied in multiple domains, such as traffic prediction, molecular modeling, social network analysis, visual scene understanding etc.
The lectures will focus on introductory concepts and showcase the basic methods while also presenting some interesting connections and applications.
The two lectures are part of a Deep Learning course at University of Bucharest that is taught by Bitdefender. The talks will be virtual and open to anyone and require basic ML knowledge.
Presenters: Iulia Duta, Andrei Nicolicioiu The presentation will be held in Romanian. Hope to see you there! :)