‍ 🎯 Deep Learning and Neural Networks Symposium and Workshop

👨🏻‍🎓 Speaker introduction:

Professor Hugo Larochelle,
Google Brain

Title: Learning to generalize from few examples with meta-learning

Abstract: A lot of the recent progress on many AI tasks were enabled in part by the availability of large quantities of labeled data for deep learning. Yet, humans are able to learn concepts from as little as a handful of examples. Meta-learning has been a very promising framework for addressing the problem of generalizing from small amounts of data, known as few-shot learning. In this talk, I’ll present an overview of the recent research that has made exciting progress on this topic. I will also share my thoughts on the challenges and research opportunities that remain in few-shot learning, including a proposal for a new benchmark.

⭕️ Check our website for more information

⚙️ Organizers: Institute for Cognitive and Brain Sciences, Shahid Beheshti University and Loop Academy


📢 @LoopAcademy
📢 @CMPLab

🌐 www.loopacademy.ir
🌐 www.cmplab.ir