research
∙
09/13/2021
Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories
For machine learning models trained with limited labeled training data, ...
share
research
∙
08/28/2020
Background Splitting: Finding Rare Classes in a Sea of Background
We focus on the real-world problem of training accurate deep models for ...
research
∙
06/26/2020
Train and You'll Miss It: Interactive Model Iteration with Weak Supervision and Pre-Trained Embeddings
Our goal is to enable machine learning systems to be trained interactive...
research
∙
01/08/2020
Learning to Move with Affordance Maps
The ability to autonomously explore and navigate a physical space is a f...
research
∙
12/06/2018
