Learning Club
BIU Learning Club 4.4.2021 — Ronen Basri — On the Connection between Deep Neural Networks and Kernel Methods
The recording of Ronen's talk: https://us02web.zoom.us/rec/share/lFyTCaXdH469BOuce3TgfdZQZ1pJlsy-Ei165FQPuiue6nGPHjpLgbOCF1hdvWEu.iDjrEpLTDMdUpiXJ Thanks to Ronen for the presentation and everyone who attended, Hey everyone, After the holiday, on Sunday 4.4.2021 at 12:00, we will host Ronen Basri from Weizman Institute. Ronen will present his work on the connection between deep neural networks and kernel methods. Zoom: https://us02web.zoom.us/j/88008797212pwd=TkFnME5OM3VqV2FjSlRGRTNLSVB1QT09 Meeting ID: 880 0879 7212 Passcode: ... Read more
Learning Club talk by Roni Livni
Time: Sunday Apr 11th, 2021 12:00 PM — 13:00 PM. The recording of Roi's talk: https://us02web.zoom.us/rec/play/7uL_4UkcH6PhgKWsSEn_lc3QOLqEuQOu7ax08fgnj93YgVhkfMM9_9f_2VbfaoqJFif7tpFffh4V6mt-.-MC-XWpEjtb97tvZ?continueMode=true On Sunday 11.4.2021 at 12:00, we will host Roi Livni from Tel-Aviv University. Roi will present his work on: "Regularization, what is it good for?". Zoom: https://us02web.zoom.us/j/83325342820?pwd=cUcxR2lJMzloL0pwNHJUWG0wNTQvUT09 Meeting ID: 833 2534 2820 Passcode: 449581 Title: Regularization, what is it good ... Read more
Learning to Plan and Planning to Learn – Learning Club talk by Aviv Tamar
Learning Club BIU - Aviv Tamar Title: Learning to Plan and Planning to Learn Abstract: Two main paradigms for solving sequential decision making problems are planning - searching through possible future outcomes to achieve a goal, and reinforcement learning (RL) - learning reactive policies through trial and error. This talk focuses on algorithmic interfaces between ... Read more
A Convergence Theory Towards Practical Over-parameterized Deep Neural Networks – Learning Club talk by Asaf Noy
Learning Club - Asaf Noy Title: A Convergence Theory Towards Practical Over-parameterized Deep Neural Networks Abstract: Deep neural networks' remarkable ability to correctly fit training data when optimized by gradient-based algorithms is yet to be fully understood. Recent theoretical results explain the convergence for ReLU networks that are wider than those used in practice by ... Read more
Learning Club talk by Raja Giryes
on Sunday 2.5.2021at 12:00, we will host Raja Giryes from Tel-Aviv University. Title: Robustifying neural networks Abstract: In this talk I will survey several techniques to make neural networks more robust. While neural networks achieve groundbreaking results in many applications, they depend strongly on the availability of good training data and the assumption that the data ... Read more