20 citations · 20 across the 6 of their papers we have counts for
8 papers
CheckSel: Efficient and Accurate Data-valuation Through Online Checkpoint Selection
Soumi Das, Manasvi Sagarkar, Suparna Bhattacharya +1
Data valuation and subset selection have emerged as valuable tools for application-specific selection of important training data. However, the efficiency-accuracy tradeoffs of stat…
Offsetting Unequal Competition through RL-assisted Incentive Schemes
Paramita Koley, Aurghya Maiti, Sourangshu Bhattacharya +1
This paper investigates the dynamics of competition among organizations with unequal expertise. Multi-agent reinforcement learning has been used to simulate and understand the impa…
PASTE: A Tagging-Free Decoding Framework Using Pointer Networks for Aspect Sentiment Triplet Extraction
Rajdeep Mukherjee, Tapas Nayak, Yash Butala +2
Aspect Sentiment Triplet Extraction (ASTE) deals with extracting opinion triplets, consisting of an opinion target or aspect, its associated sentiment, and the corresponding opinio…
Finding High-Value Training Data Subset through Differentiable Convex Programming
Soumi Das, Arshdeep Singh, Saptarshi Chatterjee +2
Finding valuable training data points for deep neural networks has been a core research challenge with many applications. In recent years, various techniques for calculating the "v…
Convex Online Video Frame Subset Selection using Multiple Criteria for Data Efficient Autonomous Driving
Soumi Das, Harikrishna Patibandla, Suparna Bhattacharya +3
Training vision-based Urban Autonomous driving models is a challenging problem, which is highly researched in recent times. Training such models is a data-intensive task requiring…
Demarcating Endogenous and Exogenous Opinion Dynamics: An Experimental Design Approach
Paramita Koley, Avirup Saha, Sourangshu Bhattacharya +2
The networked opinion diffusion in online social networks (OSN) is often governed by the two genres of opinions - endogenous opinions that are driven by the influence of social con…