most citedSmall, Sparse, but Substantial: Techniques for Segmenting Small Agricultural Fields Using Sparse Ground Data

20 citations · 28 across the 3 of their papers we have counts for

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cs.CL2023

Identifying Semantically Difficult Samples to Improve Text Classification

Shashank Mujumdar, Stuti Mehta, Hima Patel +1

In this paper, we investigate the effect of addressing difficult samples from a given text dataset on the downstream text classification task. We define difficult samples as being…

cs.CL2020★ 8 cited

Towards a Multi-modal, Multi-task Learning based Pre-training Framework for Document Representation Learning

Subhojeet Pramanik, Shashank Mujumdar, Hima Patel

Recent approaches in literature have exploited the multi-modal information in documents (text, layout, image) to serve specific downstream document tasks. However, they are limited…