Search Results for author: Adam Liska

Found 4 papers, 1 papers with code

Mind the Gap: Assessing Temporal Generalization in Neural Language Models

1 code implementation NeurIPS 2021 Angeliki Lazaridou, Adhiguna Kuncoro, Elena Gribovskaya, Devang Agrawal, Adam Liska, Tayfun Terzi, Mai Gimenez, Cyprien de Masson d'Autume, Tomas Kocisky, Sebastian Ruder, Dani Yogatama, Kris Cao, Susannah Young, Phil Blunsom

Hence, given the compilation of ever-larger language modelling datasets, combined with the growing list of language-model-based NLP applications that require up-to-date factual knowledge about the world, we argue that now is the right time to rethink the static way in which we currently train and evaluate our language models, and develop adaptive language models that can remain up-to-date with respect to our ever-changing and non-stationary world.

Language Modelling

Autism Classification Using Brain Functional Connectivity Dynamics and Machine Learning

no code implementations21 Dec 2017 Ravi Tejwani, Adam Liska, Hongyuan You, Jenna Reinen, Payel Das

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 connections (FC) as the only information.

BIG-bench Machine Learning General Classification

From Visual Attributes to Adjectives through Decompositional Distributional Semantics

no code implementations TACL 2015 Angeliki Lazaridou, Georgiana Dinu, Adam Liska, Marco Baroni

By building on the recent "zero-shot learning" approach, and paying attention to the linguistic nature of attributes as noun modifiers, and specifically adjectives, we show that it is possible to tag images with attribute-denoting adjectives even when no training data containing the relevant annotation are available.

Object Recognition Retrieval +2

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