Honglak Lee

ML: Classification and Regression, CV: Adversarial Attacks & Robustness, CV: Applications, CV: Learning & Optimization for CV, CV: Low Level & Physics-based Vision, CV: Other Foundations of Computer Vision, CV: Representation Learning for Vision, ML: Adversarial Learning & Robustness, ML: Other Foundations of Machine Learning, ML: Privacy

[Submitted on 14 Dec 2022 ( v1 ), last revised 11 Oct 2024 (this version, v3)] Title:Significantly improving zero-shot X-ray pathology classification via fine-tuning pre-trained image-text encoders View a PDF of the paper titled Significantly improving zero-shot X-ray pathology classification via fine-tuning pre-trained image-text encoders, by Jongseong Jang and 5 other authors View PDF Abstract:Deep neural networks are increasingly used in medical imaging for tasks such as pathological...

Incoming CSE PhD student Wilka Carvalho has been selected for the GEM Fellowship under the sponsorship of Adobe. Carvalho plans to work with Profs. Satinder Singh Baveja, Honglak Lee, and Richard Lewis (Psychology) to pursue research at the intersection of reinforcement learning, machine learning, and computational cognitive science.