Sep 25, 2019 · We propose a novel adversarial training algorithm, FreeLB, that promotes higher invariance in the embedding space, by adding adversarial perturbations to word ...
Dec 19, 2019 · We propose a novel adversarial training algorithm, FreeLB, that promotes higher invariance in the embedding space, by adding adversarial perturbations to word ...
FreeLB: Enhanced Adversarial Training for Natural Language Understanding ... In this work, we propose a novel adversarial training algorithm, FreeLB, that ...
Feb 15, 2020 · FreeLB is an adversarial training approach for improving transformer-based language models on Natural Language Understanding tasks.
We will show that adversarial training significantly improves performance of state-of-the-art models for many language understanding tasks. In particular, we ...
A novel adversarial training algorithm is proposed, FreeLB, that promotes higher invariance in the embedding space, by adding adversarial perturbations to ...
Sep 7, 2024 · In this work, we propose a novel adversarial training algorithm - FreeLB, that promotes higher robustness and invariance in the embedding space, ...
Apr 23, 2020 · We will show that adversarial training significantly improves performance of state-of-the-art mod- els for many language understanding tasks. In ...
Currently, adversarial training has become a popular and powerful regularization method in the natural language domain. In this paper, we.
A novel adversarial training algorithm for the NLP domain, FreeLB (Free Large Batch), that promotes higher robustness and invariance in the embedding space.