Naive Few-Shot Learning: Uncovering the fluid intelligence of machines

1 code implementation • 24 May 2022 • Tomer Barak, Yonatan Loewenstein

In this paper, we aimed to help bridge the gap between human fluid intelligence - the ability to solve novel tasks without prior training - and the performance of deep neural networks, which typically require extensive prior training.

Anomaly Detection Few-Shot Learning

Naive Artificial Intelligence

no code implementations • 4 Sep 2020 • Tomer Barak, Yehonatan Avidan, Yonatan Loewenstein

Finally, we propose that the computational principles underlying our approach can be used to model fluid intelligence in the cognitive sciences.

DORA The Explorer: Directed Outreaching Reinforcement Action-Selection

1 code implementation • ICLR 2018 • Leshem Choshen, Lior Fox, Yonatan Loewenstein

We compare our approach to commonly used RL techniques, and show that using $E$-values improves learning and performance over traditional counters.

Reinforcement Learning (RL) World Knowledge