no code implementations • 5 Jul 2022 • Suraj Kothawade, Donna Roy, Michele Fenzi, Elmar Haussmann, Jose M. Alvarez, Christoph Angerer
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.
no code implementations • 9 Apr 2020 • Elmar Haussmann, Michele Fenzi, Kashyap Chitta, Jan Ivanecky, Hanson Xu, Donna Roy, Akshita Mittel, Nicolas Koumchatzky, Clement Farabet, Jose M. Alvarez
We have built a scalable production system for active learning in the domain of autonomous driving.
no code implementations • 25 Sep 2019 • Kashyap Chitta, Jose M. Alvarez, Elmar Haussmann, Clement Farabet
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).
no code implementations • 29 May 2019 • Kashyap Chitta, Jose M. Alvarez, Elmar Haussmann, Clement Farabet
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).
1 code implementation • 1 Oct 2015 • Hannah Bast, Elmar Haussmann
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.