belhalk / nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

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Hello! I am an ML Researcher & Applied Scientist. I am currently working at Nike in the Search team, in charge of Matching, Ranking and GenAI initiatives for both Nike APP and Nike.com. Before that, I was a Research Scientist in the Cognitive Computing Lab at Baidu Research working with Dr. Ping Li.

✍ Selected Publications

• Layer-wise and Dimension-wise Locally Adaptive Federated Learning. Published at The Conference on Uncertainty in Artificial Intelligence (UAI), 2023.

• On Distributed Adaptive Optimization with Gradient Compression. Published at The International Conference on Learning Representations (ICLR), 2022.

• Dual Energy-Flow Enhanced Graph Neural Network for Visual Question Answering. Published at The International Conference on Multimedia and Expo (ICME), 2022.

• Towards Better Generalization of Adaptive Gradient Methods. Published at Advances in Neural Information Processing Systems (NeurIPS), 2020.

🚀 Selected Projects

• Saemix: Open Source R package for nonlinear mixed effects modeling. [Project Page] [Case Studies]
• Brainattic: Video search engine and automatic trailer generation using Embeddings-based modeling.
• Monk AI: Automated & objective condition reports for car hailing services.