Search Results for author:
Found 4 papers, 2 papers with code
Benchmarking Differential Privacy and Federated Learning for BERT Models
Natural Language Processing (NLP) techniques can be applied to help with the diagnosis of medical conditions such as depression, using a collection of a person's utterances.
Privacy enabled Financial Text Classification using Differential Privacy and Federated Learning
Privacy is important considering the financial Domain as such data is highly confidential and sensitive.
Interpretability of Fine-grained Classification of Sadness and Depression
While sadness is a human emotion that people experience at certain times throughout their lives, inflicting them with emotional disappointment and pain, depression is a longer term mental illness which impairs social, occupational, and other vital regions of functioning making it a much more serious issue and needs to be catered to at the earliest.
RankAug: Augmented data ranking for text classification
Research on data generation and augmentation has been focused majorly on enhancing generation models, leaving a notable gap in the exploration and refinement of methods for evaluating synthetic data.
