Search Results for author: Leo Horne

Found 2 papers, 2 papers with code

GRUBERT: A GRU-Based Method to Fuse BERT Hidden Layers for Twitter Sentiment Analysis

2 code implementations Asian Chapter of the Association for Computational Linguistics 2020 Leo Horne, Matthias Matti, Pouya Pourjafar, Zuowen Wang

In this work, we introduce a GRU-based architecture called GRUBERT that learns to map the different BERT hidden layers to fused embeddings with the aim of achieving high accuracy on the Twitter sentiment analysis task.

Twitter Sentiment Analysis

Understanding (Non-)Robust Feature Disentanglement and the Relationship Between Low- and High-Dimensional Adversarial Attacks

1 code implementation4 Apr 2020 Zuowen Wang, Leo Horne

Recent work has put forth the hypothesis that adversarial vulnerabilities in neural networks are due to them overusing "non-robust features" inherent in the training data.

Disentanglement

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