Search Results for author:
Found 5 papers, 1 papers with code
Object-Level Targeted Selection via Deep Template Matching
Existing semantic image retrieval methods often focus on mining for larger sized geographical landmarks, and/or require extra labeled data, such as images/image-pairs with similar objects, for mining images with generic objects.
Scalable Active Learning for Object Detection
We have built a scalable production system for active learning in the domain of autonomous driving.
Training Data Distribution Search with Ensemble Active Learning
In this paper, we propose to scale up ensemble Active Learning methods to perform acquisition at a large scale (10k to 500k samples at a time).
Training Data Subset Search with Ensemble Active Learning
In this paper, we propose to scale up ensemble Active Learning (AL) methods to perform acquisition at a large scale (10k to 500k samples at a time).
More Accurate Question Answering on Freebase
Real-world factoid or list questions often have a simple structure, yet are hard to match to facts in a given knowledge base due to high representational and linguistic variability.
