11 citations · 21 across the 3 of their papers we have counts for
3 papers
cs.LG2024★ 2 cited
94% on CIFAR-10 in 3.29 Seconds on a Single GPU
Keller Jordan
CIFAR-10 is among the most widely used datasets in machine learning, facilitating thousands of research projects per year. To accelerate research and reduce the cost of experiments…
cs.LG2023★ 8 cited
On the Variance of Neural Network Training with respect to Test Sets and Distributions
Keller Jordan
Typical neural network trainings have substantial variance in test-set performance between repeated runs, impeding hyperparameter comparison and training reproducibility. In this w…
cs.LG2022★ 11 cited
REPAIR: REnormalizing Permuted Activations for Interpolation Repair
Keller Jordan, Hanie Sedghi, Olga Saukh +2
In this paper we look into the conjecture of Entezari et al. (2021) which states that if the permutation invariance of neural networks is taken into account, then there is likely n…