3 papers
cs.AI2026
BRIDGE: Predicting Human Task Completion Time From Model Performance
Fengyuan Liu, Jay Gala, Nilaksh +3
Evaluating the real-world capabilities of AI systems requires grounding benchmark performance in human-interpretable measures of task difficulty. Existing approaches that rely on d…
cs.CV2023
Adaptive-Labeling for Enhancing Remote Sensing Cloud Understanding
Jay Gala, Sauradip Nag, Huichou Huang +2
Cloud analysis is a critical component of weather and climate science, impacting various sectors like disaster management. However, achieving fine-grained cloud analysis, such as c…
cs.LG2021
Learning from Mistakes based on Class Weighting with Application to Neural Architecture Search
Jay Gala, Pengtao Xie
Learning from mistakes is an effective learning approach widely used in human learning, where a learner pays greater focus on mistakes to circumvent them in the future to improve t…