2 citations · 3 across the 4 of their papers we have counts for
4 papers
Ask before you Build: Rethinking AI-for-Good in Human Trafficking Interventions
Pratheeksha Nair, Gabriel Lefebvre, Sophia Garrel +2
AI for good initiatives often rely on the assumption that technical interventions can resolve complex social problems. In the context of human trafficking (HT), such techno-solutio…
Weak Supervision for Real World Graphs
Pratheeksha Nair, Reihaneh Rabbany
Node classification in real world graphs often suffers from label scarcity and noise, especially in high stakes domains like human trafficking detection and misinformation monitori…
Epistemic Integrity in Large Language Models
Bijean Ghafouri, Shahrad Mohammadzadeh, James Zhou +8
Large language models are increasingly relied upon as sources of information, but their propensity for generating false or misleading statements with high confidence poses risks fo…
Group Equivariant Deep Reinforcement Learning
Arnab Kumar Mondal, Pratheeksha Nair, Kaleem Siddiqi
In Reinforcement Learning (RL), Convolutional Neural Networks(CNNs) have been successfully applied as function approximators in Deep Q-Learning algorithms, which seek to learn acti…