Publications (5)
How Have We Reacted To The COVID-19 Pandemic? Analyzing Changing Indian Emotions Through The Lens of Twitter
Rajdeep Mukherjee, Sriyash Poddar, Atharva Naik +1
Since its outbreak, the ongoing COVID-19 pandemic has caused unprecedented losses to human lives and economies around the world. As of 18th July 2020, the World Health Organization…
Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning
Sriyash Poddar, Yanming Wan, Hamish Ivison +2
Reinforcement Learning from Human Feedback (RLHF) is a powerful paradigm for aligning foundation models to human values and preferences. However, current RLHF techniques cannot acc…
Understanding the Role of Affect Dimensions in Detecting Emotions from Tweets: A Multi-task Approach
Rajdeep Mukherjee, Atharva Naik, Sriyash Poddar +2
We propose VADEC, a multi-task framework that exploits the correlation between the categorical and dimensional models of emotion representation for better subjectivity analysis. Fo…
Winding Through: Crowd Navigation via Topological Invariance
Christoforos Mavrogiannis, Krishna Balasubramanian, Sriyash Poddar +2
We focus on robot navigation in crowded environments. The challenge of predicting the motion of a crowd around a robot makes it hard to ensure human safety and comfort. Recent appr…
From Crowd Motion Prediction to Robot Navigation in Crowds
Sriyash Poddar, Christoforos Mavrogiannis, Siddhartha S. Srinivasa
We focus on robot navigation in crowded environments. To navigate safely and efficiently within crowds, robots need models for crowd motion prediction. Building such models is hard…