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Honglak Lee
CSE researchers receive Social Impact Award at NAACL 2024
The award recognizes the importance of their research on cultural biases in large language models.Fourteen papers by CSE researchers presented at NeurIPS 2023
CSE authors are presenting new research in the area of machine learning and neural networks.Ten papers by CSE researchers presented at EMNLP 2023
The ten papers being presented, as well as ten additional papers published in the Findings track of the conference, provide new insight on several topics related to natural language processing, from detecting bias to parsing optical illusions.LG AI Research and CSE build on successful partnership
A delegation from LG AI Research visited campus to review LG-funded projects in process and discuss future collaborations.Five papers by CSE researchers presented at ICML 2023
The papers authored by CSE researchers appearing at the conference cover a breadth of topics related to machine learning.CSE announces 2023 faculty promotions
The Division commends these individuals for their contributions to research, education, and the CSE community.Honglak Lee receives RSS 2023 Test-of-Time Award
Lee and coauthors have been recognized for the sustained impact of their paper on detecting robotic grasps via deep learning.Seven papers by CSE researchers presented at ACL 2023
Fourteen researchers in CSE have authored papers appearing at the conference, covering a variety of topics related to computational linguistics and natural language processing.Nine papers by CSE researchers presented at CVPR 2023
Thirteen CSE researchers have authored papers for the conference, covering topics spanning from object segmentation, 3D vision, biomedical microscopy analysis, and more.New computer vision technique enhances microscopy image analysis for improved cancer diagnosis
University of Michigan researchers have designed HiDisc, a machine learning tool that classifies biomedical microscopy images to more accurately diagnose cancer.Six new projects funded by LG AI Research
The projects are a part of LG’s mission to advance AI such as Deep Reinforcement Learning, 3D Scene Understanding, and Reasoning with a Large-scale Language Model and Bias & Fairness related to AI ethics.LG AI Research opens North American Artificial Intelligence Research Center in Ann Arbor with strong ties to U-M
The LG AI Research Center, and its partnership with U-M, represents a commitment by LG to become a leader in developing advanced AI technologies.Student to deliver invited talk on future directions in deep reinforcement learning
Wilka Carvalho assesses what may be necessary to enable deep RL agents to become helpful companions in society.Seven papers by CSE researchers presented at AAAI 2021
Twelve students and faculty co-authored papers spanning several key application areas for AI.
CSE researchers present 9 papers at leading AI conference
The students and faculty submitted projects spanning several key application areas for AI.Exploring the source of social stereotypes
Carvalho plans to pursue research at the intersection of reinforcement learning, machine learning, and computational cognitive science.
CSE Graduate Student Xinchen Yan Selected for Rackham Predoctoral Fellowship and Google PhD Fellowship
Xinchen Yan was selected for both fellowships to support his research in machine learning and its application in computer vision, graphics and robotics.
Honglak Lee selected for Sloan Research Fellowship
His work impacts computer vision, audio recognition, robotics, text modeling, and healthcare.
U-M, IBM partner on advanced conversational computing system
The project aims to develop a cognitive system that functions as an academic advisor for undergraduate computer science and engineering majors at the university.
Cafarella and Lee named Morris Wellman Faculty Development Professors
The professorship is awarded to junior faculty members in recognition of outstanding contributions to teaching and research.
Honglak Lee Receives CAREER Award for Research in Advanced Deep Learning Techniques
The research outcomes will be distributed through publications, talks, and tutorials.