Neha Hulkund

According to our database, Neha Hulkund authored at least 7 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A Critical Look at Targeted Instruction Selection: Disentangling What Matters (and What Doesn't).

Nihal V. Nayak, Paula Rodriguez Diaz, Neha Hulkund, Sara Beery, David Alvarez-Melis

CoRR, February, 2026

2025

DataS^3: Dataset Subset Selection for Specialization.

Neha Hulkund, Alaa Maalouf, Levi Cai, Daniel Yang, Tsun-Hsuan Wang, Abigail O'Neil, Timm Haucke, Sandeep Mukherjee, Vikram Ramaswamy, Judy Hansen Shen, Gabriel Tseng, Mike Walmsley, Daniela Rus, Ken Goldberg, Hannah Kerner, Irene Chen, Yogesh A. Girdhar, Sara Beery

CoRR, April, 2025

2024

Privacy-Preserving Data Release Leveraging Optimal Transport and Particle Gradient Descent.

Konstantin Donhauser, Javier Abad Martinez, Neha Hulkund, Fanny Yang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Predicting Out-of-Domain Generalization with Neighborhood Invariance.

Nathan H. Ng, Neha Hulkund, Kyunghyun Cho, Marzyeh Ghassemi

Trans. Mach. Learn. Res., 2023

2022

Interpretable Distribution Shift Detection using Optimal Transport.

Neha Hulkund, Nicolò Fusi, Jennifer Wortman Vaughan, David Alvarez-Melis

CoRR, 2022

Predicting Out-of-Domain Generalization with Local Manifold Smoothness.

Nathan Ng, Neha Hulkund, Kyunghyun Cho, Marzyeh Ghassemi

CoRR, 2022

2021

GAN-based Data Augmentation for Chest X-ray Classification.

Shobhita Sundaram, Neha Hulkund

CoRR, 2021