Hi all,
Next week's Learning Theory Circle session:
Speaker: Shayan Shahrabi-Farahani (Shahid Beheshti University)
Paper: The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
Paper link:
https://arxiv.org/abs/1803.03635When: Sunday, August 30 · 7:00 PM Tehran (UTC+3:30)
Where:
https://meet.google.com/csa-sbkw-ctmAbstract
Neural networks often contain millions of parameters. But do they really need all of them? This paper argues that, hidden inside a randomly initialized network, there may already exist a small "winning ticket" capable of reaching the same accuracy as the full model when trained in isolation. It's a simple idea with far-reaching implications for pruning, efficiency, and our understanding of why deep learning works.
Everyone is welcome — no preparation needed, and questions are encouraged
throughout.
Full schedule and past talks:
https://learning-theory-circle.github.io/Would you like to present a future session? Just reply to this email.
See you Sunday,
Erfan