4 citations · 12 across the 14 of their papers we have counts for
3 papers · 1 filter
LEARN: A Unified Framework for Multi-Task Domain Adapt Few-Shot Learning
Bharadwaj Ravichandran, Alexander Lynch, Sarah Brockman +4
Both few-shot learning and domain adaptation sub-fields in Computer Vision have seen significant recent progress in terms of the availability of state-of-the-art algorithms and dat…
GeoWATCH for Detecting Heavy Construction in Heterogeneous Time Series of Satellite Images
Jon Crall, Connor Greenwell, David Joy +3
Learning from multiple sensors is challenging due to spatio-temporal misalignment and differences in resolution and captured spectra. To that end, we introduce GeoWATCH, a flexible…
Defending Against Social Engineering Attacks in the Age of LLMs
Lin Ai, Tharindu Kumarage, Amrita Bhattacharjee +12
The proliferation of Large Language Models (LLMs) poses challenges in detecting and mitigating digital deception, as these models can emulate human conversational patterns and faci…