28 citations · 29 across the 4 of their papers we have counts for
4 papers
Exponential weight averaging as damped harmonic motion
Jonathan Patsenker, Henry Li, Yuval Kluger
The exponential moving average (EMA) is a commonly used statistic for providing stable estimates of stochastic quantities in deep learning optimization. Recently, EMA has seen cons…
Multi-modal Differentiable Unsupervised Feature Selection
Junchen Yang, Ofir Lindenbaum, Yuval Kluger +1
Multi-modal high throughput biological data presents a great scientific opportunity and a significant computational challenge. In multi-modal measurements, every sample is observed…
ManiFeSt: Manifold-based Feature Selection for Small Data Sets
David Cohen, Tal Shnitzer, Yuval Kluger +1
In this paper, we present a new method for few-sample supervised feature selection (FS). Our method first learns the manifold of the feature space of each class using kernels captu…
Estimating the Accuracies of Multiple Classifiers Without Labeled Data
Ariel Jaffe, Boaz Nadler, Yuval Kluger
In various situations one is given only the predictions of multiple classifiers over a large unlabeled test data. This scenario raises the following questions: Without any labeled…