activity
20192022
most citedLearning Program Representations for Food Images and Cooking Recipes

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV20221 cited

Learning Program Representations for Food Images and Cooking Recipes

Dim P. Papadopoulos, Enrique Mora, Nadiia Chepurko +3

In this paper, we are interested in modeling a how-to instructional procedure, such as a cooking recipe, with a meaningful and rich high-level representation. Specifically, we prop…

cs.DS2021

Near-Optimal Algorithms for Linear Algebra in the Current Matrix Multiplication Time

Nadiia Chepurko, Kenneth L. Clarkson, Praneeth Kacham +1

In the numerical linear algebra community, it was suggested that to obtain nearly optimal bounds for various problems such as rank computation, finding a maximal linearly independe…

cs.DS2020

Testing Positive Semi-Definiteness via Random Submatrices

Ainesh Bakshi, Nadiia Chepurko, Rajesh Jayaram

We study the problem of testing whether a matrix with bounded entries () is positive semi-definite (PSD), or…

cs.LG2020

ARDA: Automatic Relational Data Augmentation for Machine Learning

Nadiia Chepurko, Ryan Marcus, Emanuel Zgraggen +3

Automatic machine learning (\AML) is a family of techniques to automate the process of training predictive models, aiming to both improve performance and make machine learning more…

cs.DS2019

Weighted Maximum Independent Set of Geometric Objects in Turnstile Streams

Ainesh Bakshi, Nadiia Chepurko, David P. Woodruff

We study the Maximum Independent Set problem for geometric objects given in the data stream model. A set of geometric objects is said to be independent if the objects are pairwise…