activity
20202024
most citedUntrained neural networks can demonstrate memorization-independent abstract reasoning

4 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.NC2024★ 1 cited

Two pathways to resolve relational inconsistencies

Tomer Barak, Yonatan Loewenstein

When individuals encounter observations that violate their expectations, when will they adjust their expectations and when will they maintain them despite these observations? For e…

cs.AI2024★ 4 cited

Untrained neural networks can demonstrate memorization-independent abstract reasoning

Tomer Barak, Yonatan Loewenstein

The nature of abstract reasoning is a matter of debate. Modern artificial neural network (ANN) models, like large language models, demonstrate impressive success when tested on abs…

cs.CV2022

Zero-Episode Few-Shot Contrastive Predictive Coding: Solving intelligence tests without prior training

T. Barak, Y. Loewenstein

Video prediction models often combine three components: an encoder from pixel space to a small latent space, a latent space prediction model, and a generative model back to pixel s…

cs.AI2022★ 1 cited

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

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 netwo…

cs.AI2020

Naive Artificial Intelligence

Tomer Barak, Yehonatan Avidan, Yonatan Loewenstein

In the cognitive sciences, it is common to distinguish between crystal intelligence, the ability to utilize knowledge acquired through past learning or experience and fluid intelli…