14 citations · 16 across the 11 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
stat.ML2020★ 1 cited
Deep Ordinal Regression using Optimal Transport Loss and Unimodal Output Probabilities
Uri Shaham, Igal Zaidman, Jonathan Svirsky
It is often desired that ordinal regression models yield unimodal predictions. However, in many recent works this characteristic is either absent, or implemented using soft targets…
cs.LG2020★ 14 cited
Differentiable Unsupervised Feature Selection based on a Gated Laplacian
Ofir Lindenbaum, Uri Shaham, Jonathan Svirsky +2
Scientific observations may consist of a large number of variables (features). Identifying a subset of meaningful features is often ignored in unsupervised learning, despite its po…