Toward Green and Human-Like Artificial Intelligence: A Complete Survey on Contemporary Few-Shot Learning Approaches

no code implementations • 5 Feb 2024 • Georgios Tsoumplekas, Vladislav Li, Vasileios Argyriou, Anastasios Lytos, Eleftherios Fountoukidis, Sotirios K. Goudos, Ioannis D. Moscholios, Panagiotis Sarigiannidis

Despite deep learning's widespread success, its data-hungry and computationally expensive nature makes it impractical for many data-constrained real-world applications.

Few-Shot Learning

The evolution of argumentation mining: From models to social media and emerging tools

no code implementations • 4 Jul 2019 • Anastasios Lytos, Thomas Lagkas, Panagiotis Sarigiannidis, Kalina Bontcheva

In this survey article, we bridge the gap between theoretical approaches of argumentation mining and pragmatic schemes that satisfy the needs of social media generated data, recognizing the need for adapting more flexible and expandable schemes, capable to adjust to the argumentation conditions that exist in social media.