63 citations · 63 across the 3 of their papers we have counts for
4 papers
The challenge of representation learning: Improved accuracy in deep vision models does not come with better predictions of perceptual similarity
Fritz Günther, Marco Marelli, Marco Alessandro Petilli
Over the last years, advancements in deep learning models for computer vision have led to a dramatic improvement in their image classification accuracy. However, models with a high…
SWEAT: Scoring Polarization of Topics across Different Corpora
Federico Bianchi, Marco Marelli, Paolo Nicoli +1
Understanding differences of viewpoints across corpora is a fundamental task for computational social sciences. In this paper, we propose the Sliced Word Embedding Association Test…
Mechanisms for Handling Nested Dependencies in Neural-Network Language Models and Humans
Yair Lakretz, Dieuwke Hupkes, Alessandra Vergallito +3
Recursive processing in sentence comprehension is considered a hallmark of human linguistic abilities. However, its underlying neural mechanisms remain largely unknown. We studied…
Be Precise or Fuzzy: Learning the Meaning of Cardinals and Quantifiers from Vision
Sandro Pezzelle, Marco Marelli, Raffaella Bernardi
People can refer to quantities in a visual scene by using either exact cardinals (e.g. one, two, three) or natural language quantifiers (e.g. few, most, all). In humans, these two…