research
∙
06/03/2023
Adapting Pretrained ASR Models to Low-resource Clinical Speech using Epistemic Uncertainty-based Data Selection
While there has been significant progress in ASR, African-accented clini...
share
research
∙
06/01/2023
AfriNames: Most ASR models "butcher" African Names
Useful conversational agents must accurately capture named entities to m...
research
∙
10/19/2022
Separating Grains from the Chaff: Using Data Filtering to Improve Multilingual Translation for Low-Resourced African Languages
We participated in the WMT 2022 Large-Scale Machine Translation Evaluati...
research
∙
07/05/2021
Why is Pruning at Initialization Immune to Reinitializing and Shuffling?
Recent studies assessing the efficacy of pruning neural networks methods...
research
∙
07/01/2021
Using Anomaly Feature Vectors for Detecting, Classifying and Warning of Outlier Adversarial Examples
We present DeClaW, a system for detecting, classifying, and warning of a...
research
∙
06/26/2021
Benchmarking Differential Privacy and Federated Learning for BERT Models
Natural Language Processing (NLP) techniques can be applied to help with...
research
∙
06/22/2021
DP-SGD vs PATE: Which Has Less Disparate Impact on Model Accuracy?
Recent advances in differentially private deep learning have demonstrate...
research
∙
11/13/2020
Investigating Learning in Deep Neural Networks using Layer-Wise Weight Change
Understanding the per-layer learning dynamics of deep neural networks is...
research
∙
09/10/2020
Neither Private Nor Fair: Impact of Data Imbalance on Utility and Fairness in Differential Privacy
Deployment of deep learning in different fields and industries is growin...
research
∙
05/27/2020
