212 citations · 741 across the 81 of their papers we have counts for
3 papers · 1 filter
NEXUS Network: Connecting the Preceding and the Following in Dialogue Generation
Hui Su, Xiaoyu Shen, Wenjie Li +1
Sequence-to-Sequence (seq2seq) models have become overwhelmingly popular in building end-to-end trainable dialogue systems. Though highly efficient in learning the backbone of huma…
Logit Pairing Methods Can Fool Gradient-Based Attacks
Marius Mosbach, Maksym Andriushchenko, Thomas Trost +2
Recently, Kannan et al. [2018] proposed several logit regularization methods to improve the adversarial robustness of classifiers. We show that the computationally fast methods the…
Training a Neural Network in a Low-Resource Setting on Automatically Annotated Noisy Data
Michael A. Hedderich, Dietrich Klakow
Manually labeled corpora are expensive to create and often not available for low-resource languages or domains. Automatic labeling approaches are an alternative way to obtain label…