Search Results for author: Nengfeng Zhou

Found 6 papers, 0 papers with code

Multi-resolution Interpretation and Diagnostics Tool for Natural Language Classifiers

no code implementations6 Mar 2023 Peyman Jalali, Nengfeng Zhou, Yufei Yu

Developing explainability methods for Natural Language Processing (NLP) models is a challenging task, for two main reasons.

Model Explainability in Deep Learning Based Natural Language Processing

no code implementations14 Jun 2021 Shafie Gholizadeh, Nengfeng Zhou

We then applied one of the NLP explainability methods Layer-wise Relevance Propagation (LRP) to a NLP classification model.

Deep Learning

Bias, Fairness, and Accountability with AI and ML Algorithms

no code implementations13 May 2021 Nengfeng Zhou, Zach Zhang, Vijayan N. Nair, Harsh Singhal, Jie Chen, Agus Sudjianto

In this paper, we provide an overview of bias and fairness issues that arise with the use of ML algorithms.

Fairness

Survey of Imbalanced Data Methodologies

no code implementations6 Apr 2021 Lian Yu, Nengfeng Zhou

Imbalanced data set is a problem often found and well-studied in financial industry.

Survey

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