Jacob Kahn
RESEARCH SCIENTIST | MENLO PARK, UNITED STATES
Jacob is a Research Engineer at Facebook AI Research (FAIR), focusing on speech and language. He works on speech recognition methods, parallel and distributed architectures and optimization for deep learning. Jacob holds M.S. and B.S. degrees in computer science from the University of Pennsylvania’s Management & Technology program, and a B.S. in economics from UPenn's Wharton School, where he focused on statistics and operations research.
Jacob's Publications
December 11, 2024
NLP
COMPUTER VISION
Meta CLIP 1.2
Hu Xu, Bernie Huang, Ellen Tan, Ching-Feng Yeh, Jacob Kahn, Christine Jou, Gargi Ghosh, Omer Levy, Luke Zettlemoyer, Scott Yih, Philippe Brunet, Kim Hazelwood, Ramya Raghavendra, Daniel Li (FAIR), Saining Xie, Christoph Feichtenhofer
December 11, 2024
September 05, 2024
CONVERSATIONAL AI
NLP
Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model
Chunting Zhou, Lili Yu, Arun Babu, Kushal Tirumala, Michihiro Yasunaga, Leonid Shamis, Jacob Kahn, Luke Zettlemoyer, Omer Levy, Xuezhe Ma
September 05, 2024
November 07, 2023
NLP
COMPUTER VISION
The Framework Tax: Disparities Between Inference Efficiency in NLP Research and Deployment
Jared Fernandez, Jacob Kahn, Clara Na, Yonatan Bisk, Emma Strubell
November 07, 2023
June 19, 2023
SYSTEMS RESEARCH
MODeL: Memory Optimizations for Deep Learning
Benoit Steiner, Mostafa Elhoushi, Jacob Kahn, James Hegarty
June 19, 2023
June 20, 2022
Flashlight: Enabling Innovation in Tools for Machine Learning
Jacob Kahn, Ann Lee, Benoit Steiner, Edouard Grave, Gabriel Synnaeve, Gilad Avidov, Paden Tomasello, Qiantong Xu, Ronan Collobert, Vineel Pratap, Vitaliy Liptchinksy, Awni Hannun, Jeff Cai, Tatiana Likhomanenko
June 20, 2022
April 30, 2020
April 30, 2020
Foundational models
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