14 code implementations • ICLR 2021 • Pierre Foret, Ariel Kleiner, Hossein Mobahi, Behnam Neyshabur
In today's heavily overparameterized models, the value of the training loss provides few guarantees on model generalization ability.
Ranked #1 on Image Classification on CIFAR-100 (using extra training data)
Fine-Grained Image Classification Learning with noisy labels
no code implementations • NeurIPS 2010 • Ariel Kleiner, Ali Rahimi, Michael. I. Jordan
We present a novel algorithm, Random Conic Pursuit, that solves semidefinite programs (SDPs) via repeated optimization over randomly selected two-dimensional subcones of the PSD cone.