Xiao Yang

Benchmarking Adversarial Robustness

2019 · arXiv (Cornell University)

Deep neural networks are vulnerable to adversarial examples, which becomes one of the most important research problems in the development of deep learning. While a lot of efforts have been made in recent years, it …

ExplainaBoard: An Explainable Leaderboard for NLP

2021 · arXiv (Cornell University)

With the rapid development of NLP research, leaderboards have emerged as one tool to track the performance of various systems on various NLP tasks. They are effective in this goal to some extent, but generally …

Learning non-parametric Markov networks with mutual information

2017 · arXiv (Cornell University)

We propose a method for learning Markov network structures for continuous data without invoking any assumptions about the distribution of the variables. The method makes use of previous work on a non-parametric estimator for mutual …

On the Robustness of Reading Comprehension Models to Entity Renaming

2021 · arXiv (Cornell University)

We study the robustness of machine reading comprehension (MRC) models to entity renaming -- do models make more wrong predictions when the same questions are asked about an entity whose name has been changed? Such …