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Found 5 papers, 0 papers with code
Counting in the 2020s: Binned Representations and Inclusive Performance Measures for Deep Crowd Counting Approaches
This skew affects all stages within the pipelines of deep crowd counting approaches.
Hostility Detection and Covid-19 Fake News Detection in Social Media
Withtheadventofsocialmedia, therehasbeenanextremely rapid increase in the content shared online.
AI-based Monitoring and Response System for Hospital Preparedness towards COVID-19 in Southeast Asia
This research paper proposes a COVID-19 monitoring and response system to identify the surge in the volume of patients at hospitals and shortage of critical equipment like ventilators in South-east Asian countries, to understand the burden on health facilities.
Iterative Data Programming for Expanding Text Classification Corpora
Real-world text classification tasks often require many labeled training examples that are expensive to obtain.
Bootstrapping Conversational Agents With Weak Supervision
We report on a user study that shows positive user feedback for this new approach to build conversational agents, and demonstrates the effectiveness of using data programming for auto-labeling.
