3 papers
cs.LG2023
Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity
Charlie Hou, Kiran Koshy Thekumparampil, Michael Shavlovsky +3
On tabular data, a significant body of literature has shown that current deep learning (DL) models perform at best similarly to Gradient Boosted Decision Trees (GBDTs), while signi…
cs.CL2021
Towards More Robust Natural Language Understanding
Xinliang Frederick Zhang
Natural Language Understanding (NLU) is a branch of Natural Language Processing (NLP) that uses intelligent computer software to understand texts that encode human knowledge. Recen…
cs.IT2012
Semi-Definite Programming Relaxation for Non-Line-of-Sight Localization
Venkatesan Ekambaram, Giulia Fanti, Kannan Ramchandran
We consider the problem of estimating the locations of a set of points in a k-dimensional euclidean space given a subset of the pairwise distance measurements between the points. W…