NEC Labs America Team Attends NeurIPS24 in Vancouver

December 3, 2024||inEvents|tagsNeurIPS, ai, artificial neural network, deep learning, fine tuning, iain melvin, jonathan warrell, large language models, machine learning, martin renqiang min, ml publication, neural network, parameter efficiency, shaobo han, survival analysis, variational optimization, zachary izzo

NEC Labs America attended NeurIPS 2024, the Thirty-Eighth Annual Conference on Neural Information Processing Systems, in Vancouver, Canada, from December 10-15. NeurIPS is one of the most prominent gatherings in machine learning and artificial intelligence research, drawing thousands of researchers, engineers, and practitioners from academia and industry worldwide.

NEURIPS24 3

This year, members of our Machine Learning department presented work spanning survival analysis, parameter-efficient fine-tuning for large language models, and variational optimization methods.

Zachary Izzo NEC Labs America

Presenter: Zachary Izzo

Poster Title: Subgroup Discovery with the Cox Model

Authors: Zachary Izzo (NEC Labs America), Iain Melvin (NEC Labs America)

Date/Time: Sunday, December 15th 10:00-11:15am PST

Schedule: https://interpretable-ai-workshop.github.io/#schedule

Shaobo Han NEC Labs America

Presenter: Shaobo Han

Poster Title: VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks

Authors: Yang Li (Georgia State), Shaobo Han (NEC Labs America) and Shihao Ji (University of Connecticut)

Date/Time: Friday, December 13th 11:00- 2:00 PST

Schedule: https://neurips.cc/virtual/2024/poster/93861

Jonathan Warrell NEC Labs America

Presenter: Jonathan Warrell

Poster Title: Discrete-Continuous Variational Optimization with Local Gradients

Authors:  Jonathan Warrell (NEC Labs America), Francesco Alesiani (Yale University), Cameron Smith (Yale), Anja Mösch (Yale), Martin Renqiang Min (NEC Labs America)

Date/Time:  Sunday, December 15th 10:00-11:00am

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