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3 months ago

Vilio: State-of-the-art Visio-Linguistic Models applied to Hateful Memes

Niklas Muennighoff

Vilio: State-of-the-art Visio-Linguistic Models applied to Hateful Memes

Abstract

This work presents Vilio, an implementation of state-of-the-art visio-linguistic models and their application to the Hateful Memes Dataset. The implemented models have been fitted into a uniform code-base and altered to yield better performance. The goal of Vilio is to provide a user-friendly starting point for any visio-linguistic problem. An ensemble of 5 different V+L models implemented in Vilio achieves 2nd place in the Hateful Memes Challenge out of 3,300 participants. The code is available at https://github.com/Muennighoff/vilio.

Code Repositories

Muennighoff/vilio
Official
pytorch
Mentioned in GitHub

Benchmarks

BenchmarkMethodologyMetrics
meme-classification-on-hateful-memesVilio
Accuracy: 0.695
ROC-AUC: 0.825

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Vilio: State-of-the-art Visio-Linguistic Models applied to Hateful Memes | Papers | HyperAI