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Yoon Kim. I am an assistant professor at MIT (EECS/CSAIL). I obtained my PhD in computer science from Harvard University, where I was advised by Alexander Rush . yoonkim @mit. edu / CV / Google Scholar. Research. I work on natural language processing and machine learning. Current interests include:
69 *. 2022. Articles 1–20. Assistant Professor, MIT - Cited by 29,695 - Machine Learning - Natural Language Processing - Deep Learning.
Yoon Kim. “Convolutional Neural Networks for Sentence Classification.” In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing. Workshop & Other Publications. 2018 Yoon Kim, Sam Wiseman, Alexander M. Rush. “A Tutorial on Deep Latent Variable Models of Natural Language.” Tutorial at EMNLP.
Yoon Kim is NBX Career Development Professor and an assistant professor in the Department of Electrical Engineering and Computer Science at MIT. He’s also affiliated with the Computer Science and Artificial Intelligence Laboratory.
Aug 25, 2014 · Convolutional Neural Networks for Sentence Classification. Yoon Kim. We report on a series of experiments with convolutional neural networks (CNN) trained on top of pre-trained word vectors for sentence-level classification tasks.
Yoon Kim will join the Department of Electrical Engineering and Computer Science as an Assistant Professor in July. Currently a research scientist at the MIT-IBM Watson AI Lab, Kim received a PhD in Computer Science from Harvard, an MS in Data Science from NYU, an MA in Statistics from Columbia, and dual BA degrees in Mathematics and Economics ...
Dec 20, 2023 · Yoon Kim. NBX Professor; Assistant Professor [AI+D] yoonhkim@mit.edu. _ Office: 32-386D. Latest News. More News. December 20, 2023. MIT group releases white papers on governance of AI. The series aims to help policymakers create better oversight of AI in society. April 4, 2023. Learning to grow machine-learning models.
Feb 19, 2024 · Embodied Intelligence Community of Research. Our goal is to understand the nature of intelligent behavior in the physical world, through the study of human intelligence and the design and implementation of intelligent robots. Lead. +18.
Yoon Kim obtained his Ph.D. in computer science from Harvard University, where he was advised by Alexander Rush. Professor Kim is broadly interested in natural language processing and machine learning. Current interests include: (*) Efficient training and deployment of large-scale models (*) Learning from small data (*) Neuro-symbolic approaches
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