Yelp Dataset Challenge team
- Feb 6, 2019
The eleventh round of the Yelp Dataset Challenge ran throughout the first half of 2018 and we received many impressive, original, and fascinating submissions. As usual, we were struck by the quality of the entries: keep up the good work, folks! Today, we are proud to announce the grand prize winner of the $5,000 award: “Generalized Latent Variable Recovery for Generative Adversarial Networks” by Nicholas Egan, Jeffrey Zhang, and Kevin Shen (from the Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science). The authors used a Deep Convolutional Generative Adversarial Network (DCGAN) to create photo-realistic pictures of food...