Govind Mittal — accepted AI-conference papers

2024

Circumventing Concept Erasure Methods For Text-To-Image Generative Models

Minh Pham, Kelly O. Marshall, Niv Cohen, Govind Mittal, Chinmay Hegde

ICLR 2024poster

Text-to-image generative models can produce photo-realistic images for an extremely broad range of concepts, and their usage has proliferated widely among the general public. On the flip side, these models have numerous drawbacks, including their potential to generate images featuring sexually expli…

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2024

SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification

Benjamin Feuer, Jiawei Xu, Niv Cohen, Patrick Yubeaton, Govind Mittal, Chinmay Hegde

NeurIPS 2024poster

Data curation is the problem of how to collect and organize samples into a dataset that supports efficient learning. Despite the centrality of the task, little work has been devoted towards a large-scale, systematic comparison of various curation methods. In this work, we take steps towards a formal…

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