Sahib Singh

According to our database, Sahib Singh authored at least 14 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

AfriSpeech-200: Pan-African Accented Speech Dataset for Clinical and General Domain ASR.

Tobi Olatunji, Tejumade Afonja, Aditya Yadavalli, Chris Chinenye Emezue, Sahib Singh, Bonaventure F. P. Dossou, Joanne I. Osuchukwu, Salomey Osei, Atnafu Lambebo Tonja, Naome A. Etori, Clinton Mbataku

CoRR, 2023

Adapting Pretrained ASR Models to Low-resource Clinical Speech using Epistemic Uncertainty-based Data Selection.

Bonaventure F. P. Dossou, Atnafu Lambebo Tonja, Chris Chinenye Emezue, Tobi Olatunji, Naome A. Etori, Salomey Osei, Tosin P. Adewumi, Sahib Singh

CoRR, 2023

AfriNames: Most ASR models "butcher" African Names.

Tobi Olatunji, Tejumade Afonja, Bonaventure F. P. Dossou, Atnafu Lambebo Tonja, Chris Chinenye Emezue, Amina Mardiyyah Rufai, Sahib Singh

Proceedings of the 4th Workshop on African Natural Language Processing, 2023

2022

Separating Grains from the Chaff: Using Data Filtering to Improve Multilingual Translation for Low-Resourced African Languages.

Idris Abdulmumin, Michael Beukman, Jesujoba O. Alabi, Chris Emezue, Everlyn Asiko, Tosin P. Adewumi, Shamsuddeen Hassan Muhammad, Mofetoluwa Adeyemi, Oreen Yousuf, Sahib Singh, Tajuddeen Rabiu Gwadabe

CoRR, 2022

Separating Grains from the Chaff: Using Data Filtering to Improve Multilingual Translation for Low-Resourced African Languages.

Idris Abdulmumin, Michael Beukman, Jesujoba O. Alabi, Chris Chinenye Emezue, Everlyn Chimoto, Tosin P. Adewumi, Shamsuddeen Hassan Muhammad, Mofetoluwa Adeyemi, Oreen Yousuf, Sahib Singh, Tajuddeen Gwadabe

Proceedings of the Seventh Conference on Machine Translation, 2022

2021

WeightScale: Interpreting Weight Change in Neural Networks.

Ayush Manish Agrawal, Atharva Tendle, Harshvardhan Sikka, Sahib Singh

CoRR, 2021

Why is Pruning at Initialization Immune to Reinitializing and Shuffling?

Sahib Singh, Rosanne Liu

CoRR, 2021

Using Anomaly Feature Vectors for Detecting, Classifying and Warning of Outlier Adversarial Examples.

Nelson Manohar-Alers, Ryan Feng, Sahib Singh, Jiguo Song, Atul Prakash

CoRR, 2021

Benchmarking Differential Privacy and Federated Learning for BERT Models.

Priyam Basu, Tiasa Singha Roy, Rakshit Naidu, Zümrüt Müftüoglu, Sahib Singh, Fatemehsadat Mireshghallah

CoRR, 2021

DP-SGD vs PATE: Which Has Less Disparate Impact on Model Accuracy?

Archit Uniyal, Rakshit Naidu, Sasikanth Kotti, Sahib Singh, Patrik Joslin Kenfack, Fatemehsadat Mireshghallah, Andrew Trask

CoRR, 2021

Investigating Learning in Deep Neural Networks Using Layer-Wise Weight Change.

Ayush Manish Agrawal, Atharva Tendle, Harshvardhan Sikka, Sahib Singh, Amr Kayid

Proceedings of the Intelligent Computing, 2021

2020

Benchmarking Differentially Private Residual Networks for Medical Imagery.

Sahib Singh, Harshvardhan Sikka

CoRR, 2020

Neither Private Nor Fair: Impact of Data Imbalance on Utility and Fairness in Differential Privacy.

Tom Farrand, Fatemehsadat Mireshghallah, Sahib Singh, Andrew Trask

Proceedings of the PPMLP'20: Proceedings of the 2020 Workshop on Privacy-Preserving Machine Learning in Practice, 2020

2019

High Precision Low-Voltage WTA/LTA Circuit for Signal Processing Applications.

Rishikesh Pandey, Sahib Singh

Wirel. Pers. Commun., 2019