1 code implementation • ACL 2022 • Rongzhi Zhang, Yue Yu, Pranav Shetty, Le Song, Chao Zhang
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 is tedious and difficult.
no code implementations • 4 Oct 2022 • Sushant Lenka, Pratyush Kerhalkar, Pranav Shetty, Harsh Gupta, Bhavam Vidyarthi, Ujjwal Verma
This work proposes two approaches for identifying flooded regions in UAV aerial images.
no code implementations • 27 Sep 2022 • Pranav Shetty, Arunkumar Chitteth Rajan, Christopher Kuenneth, Sonkakshi Gupta, Lakshmi Prerana Panchumarti, Lauren Holm, Chao Zhang, Rampi Ramprasad
The ever-increasing number of materials science articles makes it hard to infer chemistry-structure-property relations from published literature.
1 code implementation • 18 Mar 2022 • Rongzhi Zhang, Yue Yu, Pranav Shetty, Le Song, Chao Zhang
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 is tedious and difficult.
2 code implementations • ACL 2021 • Yinghao Li, Pranav Shetty, Lucas Liu, Chao Zhang, Le Song
To address this challenge, we propose a conditional hidden Markov model (CHMM), which can effectively infer true labels from multi-source noisy labels in an unsupervised way.