CMU Machine Learning Department

07/08/2025

CMU researchers are presenting 127(!) papers at the Forty-Second International Conference on Machine Learning (ICML 2025), taking place July 13-19 in Vancouver. Learn more about what we'll be talking about on our new blog!

CMU researchers are presenting 127 papers at the Forty-Second International Conference on Machine Learning (ICML 2025), held from July 13th-19th at the Vancouver Convention Center. Here is a quick overview of the areas our researchers are working on: Here are our most frequent collaborator in

04/17/2025

Excited to see what the MLD Faculty and Students in the Catalyst Research Group will do with this brand new B200. Many thanks to NVIDIA Data Center from all of us at !

02/21/2024

Congratulations to Aaditya Ramdas and Virginia Smith on being named 2024 Alfred P. Sloan Foundation Research Fellows!

Nathan Beckmann, Aaditya Ramdas, Justine Sherry and Virginia Smith have been named 2024 Sloan Research Fellows.

01/24/2024

Congratulations to Maria-Florina Balcan on being named a 2023 ACM - Association for Computing Machinery Fellow!

SCS faculty members Maria Florina Balcan, Roger B. Dannenberg, Ken Koedinger and Elaine Shi have been named 2023 ACM fellows.

11/17/2023

Congratulations to Hoda Heidari on being named K&L Gates Career Development Professor of Ethics and Computational Technologies!

CMU recently recognized Alex John London, Hoda Heidari and Brad Myers in honor of their endowed professorships. They're shown here seated in front of Dietrich College Dean Richard Scheines, SCS Dean Martial Hebert and CMU Provost James Garrett.

11/08/2023

Congratulations to Virginia Smith on being named Samsung AI Researcher of the Year!

MLD Assistant Professor Virginia Smith was selected as a 2023 Samsung AI Researcher of the Year.

10/03/2023

Congratulations to Leila Wehbe on receiving an NSF CAREER award for advancing our understanding of language processing by exploring how different areas of the brain interact with each other.

SCS faculty members Leila Wehbe and Min Xu recently earned Faculty Early Career Development Program (CAREER) awards from the National Science Foundation totaling more than $1 million. The awards are the foundation's most prestigious for young faculty researchers.

08/11/2023

Researchers in Carnegie Mellon University's Machine Learning Department (MLD) and Language Technologies Institute (LTI) have filled this gap by developing a multimodal large language model (LLM) named Generating Images With Large Language Models (GILL). GILL is one of the first models that can process and produce layered images and text, where images and text can be provided as both the inputs and the outputs.

MLD and LTI researchers have developed a multimodal large language model that accepts both images and text as input, and can layer text and images in its responses (as depicted in the image above).