Steffen Schotthöfer & Emanuele Zangrando from our lab are attending #NeurIPS next week in person and will present our work on #lowrank #training & #pruning of #NNs

Meet both at the poster session in HallJ#604 on Wed 30 Nov 9:30amPST

What is it? We developed a framework to perform stable and efficient training on low-rank manifolds, resulting in an order of magnitude less memory cost & training time! Tested successfully on #imagenet1k #transformers +other benchmarks

https://openreview.net/forum?id=IILJ0KWZMy9&referrer=%5Bthe%20profile%20of%20Francesco%20Tudisco%5D(%2Fprofile%3Fid%3D~Francesco_Tudisco1)

Low-rank lottery tickets: finding efficient low-rank neural...

The paper presents a novel neural network training algorithm, that allows for efficient low rank network training and search of low rank subnetworks

OpenReview