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Found 4 papers, 0 papers with code
Capabilities of Gemini Models in Medicine
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.
Ranked #2 on
Question Answering
on MedQA
(using extra training data)
A Bag of Tricks for Few-Shot Class-Incremental Learning
FSCIL requires both stability and adaptability, i. e., preserving proficiency in previously learned tasks while learning new ones.
Ranked #4 on
Few-Shot Class-Incremental Learning
on mini-Imagenet
class-incremental learning
Few-Shot Class-Incremental Learning
+1
Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection
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.
Significant Otter: Understanding the Role of Biosignals in Communication
In a one-month study with 20 couples, participants used Significant Otter with biosignals sensing OFF and ON.
Human-Computer Interaction
