6 citations · 7 across the 9 of their papers we have counts for
3 papers · 1 filter
StructFormer: Document Structure-based Masked Attention and its Impact on Language Model Pre-Training
Kaustubh Ponkshe, Venkatapathy Subramanian, Natwar Modani +1
Most state-of-the-art techniques for Language Models (LMs) today rely on transformer-based architectures and their ubiquitous attention mechanism. However, the exponential growth i…
TEXTRON: Weakly Supervised Multilingual Text Detection through Data Programming
Dhruv Kudale, Badri Vishal Kasuba, Venkatapathy Subramanian +2
Several recent deep learning (DL) based techniques perform considerably well on image-based multilingual text detection. However, their performance relies heavily on the availabili…
INSITE: labelling medical images using submodular functions and semi-supervised data programming
Akshat Gautam, Anurag Shandilya, Akshit Srivastava +3
The necessity of large amounts of labeled data to train deep models, especially in medical imaging creates an implementation bottleneck in resource-constrained settings. In Insite…