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20022026
most citedStealing Machine Learning Models via Prediction APIs

733 citations

Showing 2022Show all

5 papers · 1 filter

stat.ME2022★ 19 cited

Differential item functioning via robust scaling

Peter F. Halpin

This paper proposes a method for assessing differential item functioning (DIF) in item response theory (IRT) models. The method does not require pre-specification of anchor items,…

q-bio.QM2022★ 22 cited

Distribution-based Sketching of Single-Cell Samples

Vishal Athreya Baskaran, Jolene Ranek, Siyuan Shan +2

Modern high-throughput single-cell immune profiling technologies, such as flow and mass cytometry and single-cell RNA sequencing can readily measure the expression of a large numbe…

cs.CV2022★ 13 cited

Local Spatiotemporal Representation Learning for Longitudinally-consistent Neuroimage Analysis

Mengwei Ren, Neel Dey, Martin A. Styner +2

Recent self-supervised advances in medical computer vision exploit global and local anatomical self-similarity for pretraining prior to downstream tasks such as segmentation. Howev…

cs.CV2022★ 17 cited

Learning to Retrieve Videos by Asking Questions

Avinash Madasu, Junier Oliva, Gedas Bertasius

The majority of traditional text-to-video retrieval systems operate in static environments, i.e., there is no interaction between the user and the agent beyond the initial textual…

cs.LG2022★ 11 cited

Transparent Single-Cell Set Classification with Kernel Mean Embeddings

Siyuan Shan, Vishal Baskaran, Haidong Yi +3

Modern single-cell flow and mass cytometry technologies measure the expression of several proteins of the individual cells within a blood or tissue sample. Each profiled biological…