Capabilities of Gemini Models in Medicine

no code implementations • 29 Apr 2024 • Khaled Saab, Tao Tu, Wei-Hung Weng, Ryutaro Tanno, David Stutz, Ellery Wulczyn, Fan Zhang, Tim Strother, Chunjong Park, Elahe Vedadi, Juanma Zambrano Chaves, Szu-Yeu Hu, Mike Schaekermann, Aishwarya Kamath, Yong Cheng, David G. T. Barrett, Cathy Cheung, Basil Mustafa, Anil Palepu, Daniel McDuff, Le Hou, Tomer Golany, Luyang Liu, Jean-Baptiste Alayrac, Neil Houlsby, Nenad Tomasev, Jan Freyberg, Charles Lau, Jonas Kemp, Jeremy Lai, Shekoofeh Azizi, Kimberly Kanada, SiWai Man, Kavita Kulkarni, Ruoxi Sun, Siamak Shakeri, Luheng He, Ben Caine, Albert Webson, Natasha Latysheva, Melvin Johnson, Philip Mansfield, Jian Lu, Ehud Rivlin, Jesper Anderson, Bradley Green, Renee Wong, Jonathan Krause, Jonathon Shlens, Ewa Dominowska, S. M. Ali Eslami, Claire Cui, Oriol Vinyals, Koray Kavukcuoglu, James Manyika, Jeff Dean, Demis Hassabis, Yossi Matias, Dale Webster, Joelle Barral, Greg Corrado, Christopher Semturs, S. Sara Mahdavi, Juraj Gottweis, Alan Karthikesalingam, Vivek Natarajan

We evaluate Med-Gemini on 14 medical benchmarks, establishing new state-of-the-art (SoTA) performance on 10 of them, and surpass the GPT-4 model family on every benchmark where a direct comparison is viable, often by a wide margin.

A Bag of Tricks for Few-Shot Class-Incremental Learning

no code implementations • 21 Mar 2024 • Shuvendu Roy, Chunjong Park, Aldi Fahrezi, Ali Etemad

FSCIL requires both stability and adaptability, i. e., preserving proficiency in previously learned tasks while learning new ones.

Few-Shot Class-Incremental Learning Incremental Learning

Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection

no code implementations • NeurIPS 2021 • Chunjong Park, Anas Awadalla, Tadayoshi Kohno, Shwetak Patel

We then translate the out-of-distribution score into a human interpretable CONFIDENCE SCORE to investigate its effect on the users' interaction with health ML applications.

BIG-bench Machine Learning Medical Diagnosis +1

Significant Otter: Understanding the Role of Biosignals in Communication

no code implementations • 16 Feb 2021 • Fannie Liu, Chunjong Park, Yu Jiang Tham, Tsung-Yu Tsai, Laura Dabbish, Geoff Kaufman, Andrés Monroy-Hernández

In a one-month study with 20 couples, participants used Significant Otter with biosignals sensing OFF and ON.

Human-Computer Interaction