Nader Asadi
ML Research Engineer, MSc in Machine Learning from Mila.
About
I’m currently a Machine Learning Scientist at Huawei Noah’s Ark Lab, Montreal. I’m working on efficient training/finetuning of large-scale deep learning systems, including the topics of decentralized learning and parameter-efficient tuning. I’m also working on the alignment and reasoning of LLMs, using process-supervised reward models and inference-time intervention.
Previously, I was a graduate student at Mila, working with Eugene Belilovsky and Rahaf Aljundi. I worked on the generalization and continual/decentralized training of deep neural networks.
I was also a research intern at Borealis AI, worked on asynchronous time-series forecasting and regularization techniques for neural temporal point processes.
Research
My research has focused on exploring innovative paradigms for the next generation of large-scale deep learning systems, given any source of supervision. These systems will exhibit continuous growth in modalities (multi-modal learning), tasks (continual learning), and computation (decentralized learning).
Writings
I like sharing my thoughts and writings on machine learning ideas, concepts, and applications on my Blog and Twitter.
News
Apr 24, 2023 | PRD got accepted to ICML 2023! |
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Feb 6, 2023 | I’m serving as a reviewer for ICCV 2023. 🕵️ |
Jan 9, 2023 | I’m joining Borealis AI as a Machine Learning Research Intern. |
Dec 1, 2022 | I’m serving as a reviewer for CVPR 2023. 🕵️ |
May 12, 2022 | I’m serving as a reviewer for TPAMI. 🕵️ |
Mar 2, 2022 | Our paper got accepted to CVPR 2022! |