EEML @TMLSS2018
EEML (Eastern European Machine Learning summer school) is a yearly event with focus on ML, previously known as TMLSS. More info at https://t.co/a2NRJNBOkA eeml.eu Eastern Europe Joined January 2018-
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Breaking news: We've decided the date and location for the next edition ... drum roll ... it will be between 1st and 6th of July 2019 in Bucharest Romania, in collaboration with @upb1818. More info coming soon.
Looking forward to spending the day at @royalsociety annual diversity conference. I'll speak later on a panel on 'How we support underrepresented groups to put themselves forward'. See the full day and stream here: royalsociety.org/science-events…
The show must go on ... with a new edition! We decided to change our name to EEML to better highlight the mission. Read our thoughts on the first edition at our new home eeml.eu! More details coming soon!
The solution of the labs are now online ! github.com/tmlss2018/Prac… Feel free to use them in your teaching activities, but if you do so we would appreciate a ping at [email protected] so we keep track internally of how much the material is used. Thanks!
#throwback from #TMLSS2018. A huge #thankyou from our #MachineLearning team to all the organizers at @TMLSS2018 . We had an awesome time!
Last week I attended my first summer school .@TMLSS2018 and I had a great experience! Here's a small blog post with some of my thoughts stratosphereips.org/blog/2018/8/1/…
Our week of machine learning lectures, labs, poster sessions and discussions has ended (for now). Thank you to everyone who participated, from lecturers to students and organisers!
Last lecture of @TMLSS2018: Graph Networks talk from Razvan Pascanu
Raia Hadsell explains what RL has to offer to robotics!
Last day starts with more on RL from Doina Precup!
Unsupervised learning introduction by Oriol Vinyals: GANs, autoregressive models and how to leverage unsupervised learning for word embeddings.
Deep reinforcement learning for continuous control is what Nicolas Heess is teaching us at the moment! Reinforce, PPO, TRPO and many more!
We had a great introduction to latent variable models and variational inference by Ulrich Paquet. Getting to know all about Variational autoencoders!
Basics of RL explained by Lucian Busoniu. All about agents, environments and rewards!
Kyunghyun Cho @kchonyc gave a great overview of natural language processing, including sentiment analysis, machine translation and language generation.
Practical aspects of RNN training - Jan Chorowski in a fun talk at @TMLSS2018 #TMLSS
Day 3! Nina Balcan describing the theory behind assessing neural network generalisation. #MachineLearing #TMLSS
Great computer vision talk by Dumitru Erhan @doomie today.
Learning about the mathematics and theory behind neural networks from Guido Montúfar.
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