Huang, Jocelyn

Cross-Language Transfer Learning, Continuous Learning, and Domain Adaptation for End-to-End Automatic Speech Recognition

Huang, J., Kuchaiev, O., O'Neill, P., Lavrukhin, V., Li, J., Flores, A., Kucsko, G., & Ginsburg, B. (2020) · arXiv

Speech Recognition and SynthesisDomain Adaptation and Few-Shot Learning

Cited by 20

OpenCodeReasoning: Advancing Data Distillation for Competitive Coding

Ahmad, W. U., Narenthiran, S., Majumdar, S., Ficek, A., Jain, S., Huang, J., Noroozi, V., & Ginsburg, B. (2025) · arXiv

Software Engineering ResearchTeaching and Learning Programming

Cited by 2

Llama-Nemotron: Efficient Reasoning Models

Bercovich, A., Levy, I., Golan, I., Dabbah, M., El-Yaniv, R., Puny, O., Galil, I., Moshe, Z., Ronen, T., Nabwani, N., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models

NVIDIA, :, Blakeman, A., Basant, A., Khattar, A., Renduchintala, A., Bercovich, A., Ficek, A., Bjorlin, A., Taghibakhshi, A., et al. (2025) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 0