8 papers
Rethinking the Implications of Human Feedback for Preference Learning in Human-Robot Collaboration
Qiping Zhang, Kate Candon, Debasmita Ghose +1
In Human-Robot Interaction, the standard approach to learn a reward model that represents human preferences for robot behavior consists of three steps. First, the robot collects li…
Robots Influencing Humans to Reveal their Goals during Collaboration and Competition
Debasmita Ghose, Oz Gitelson, Michal Lewkowicz +3
We propose a unified strategy for fast goal inference in human-robot interaction. The core idea is to drive the human toward Critical Decision Points (CDPs)-states where competing…
Open-Ended Goal Inference through Actions and Language for Human-Robot Collaboration
Debasmita Ghose, Oz Gitelson, Marynel Vazquez +1
To collaborate with humans, robots must infer goals that are often ambiguous, difficult to articulate, or not drawn from a fixed set. Prior approaches restrict inference to a prede…
I've Changed My Mind: Robots Adapting to Changing Human Goals during Collaboration
Debasmita Ghose, Oz Gitelson, Ryan Jin +3
For effective human-robot collaboration, a robot must align its actions with human goals, even as they change mid-task. Prior approaches often assume fixed goals, reducing goal pre…
Diverse, not Short: A Length-Controlled Data Selection Strategy for Improving Response Diversity of Language Models
Vijeta Deshpande, Debasmita Ghose, John D. Patterson +2
Diverse language model responses are crucial for creative generation, open-ended tasks, and self-improvement training. We show that common diversity metrics, and even reward models…
A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters
Shasvat Desai, Debasmita Ghose, Deep Chakraborty
Visual contrastive learning aims to learn representations by contrasting similar (positive) and dissimilar (negative) pairs of data samples. The design of these pairs significantly…
Active Learning for Improved Semi-Supervised Semantic Segmentation in Satellite Images
Shasvat Desai, Debasmita Ghose
Remote sensing data is crucial for applications ranging from monitoring forest fires and deforestation to tracking urbanization. Most of these tasks require dense pixel-level annot…
Pedestrian Detection in Thermal Images using Saliency Maps
Debasmita Ghose, Shasvat Mukeshkumar Desai, Sneha Bhattacharya +3
Thermal images are mainly used to detect the presence of people at night or in bad lighting conditions, but perform poorly at daytime. To solve this problem, most state-of-the-art…