58 citations · 108 across the 4 of their papers we have counts for
4 papers
Mind the Gap: Assessing Temporal Generalization in Neural Language Models
Angeliki Lazaridou, Adhiguna Kuncoro, Elena Gribovskaya +11
Our world is open-ended, non-stationary, and constantly evolving; thus what we talk about and how we talk about it change over time. This inherent dynamic nature of language contra…
Memorize or generalize? Searching for a compositional RNN in a haystack
Adam Liška, Germán Kruszewski, Marco Baroni
Neural networks are very powerful learning systems, but they do not readily generalize from one task to the other. This is partly due to the fact that they do not learn in a compos…
Autism Classification Using Brain Functional Connectivity Dynamics and Machine Learning
Ravi Tejwani, Adam Liska, Hongyuan You +2
The goal of the present study is to identify autism using machine learning techniques and resting-state brain imaging data, leveraging the temporal variability of the functional co…
From Visual Attributes to Adjectives through Decompositional Distributional Semantics
Angeliki Lazaridou, Georgiana Dinu, Adam Liska +1
As automated image analysis progresses, there is increasing interest in richer linguistic annotation of pictures, with attributes of objects (e.g., furry, brown...) attracting most…