2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 1 cited
Cross-Geography Generalization of Machine Learning Methods for Classification of Flooded Regions in Aerial Images
Sushant Lenka, Pratyush Kerhalkar, Pranav Shetty +3
Identification of regions affected by floods is a crucial piece of information required for better planning and management of post-disaster relief and rescue efforts. Traditionally…
cs.CL2022★ 2 cited
PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning
Rongzhi Zhang, Yue Yu, Pranav Shetty +2
Weakly-supervised learning (WSL) has shown promising results in addressing label scarcity on many NLP tasks, but manually designing a comprehensive, high-quality labeling rule set…
cs.CL2021★ 1 cited
BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition
Yinghao Li, Pranav Shetty, Lucas Liu +2
We study the problem of learning a named entity recognition (NER) tagger using noisy labels from multiple weak supervision sources. Though cheap to obtain, the labels from weak sup…