Search Results for author:
Found 3 papers, 0 papers with code
A Better Match for Drivers and Riders: Reinforcement Learning at Lyft
This change was the first documented implementation of a ridesharing matching algorithm that can learn and improve in real time.
Learning Hash Codes via Hamming Distance Targets
We present a powerful new loss function and training scheme for learning binary hash codes with any differentiable model and similarity function.
Convolutional Hashing for Automated Scene Matching
We present a powerful new loss function and training scheme for learning binary hash functions.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
