A Principled Bayesian Workflow, Michael Betancourt
- Deep Complex Networks, Chiheb Trabelsi, et al.
- Image-to-Image Translation with Conditional Adversarial Networks, Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, Alexei A. Efros
- Adversarial Reprogramming of Neural Networks, Gamaleldin F. Elsayed, Ian Goodfellow, Jascha Sohl-Dickstein
- This looks like that: deep learning for interpretable image recognition, Chaofan Chen, Oscar Li, Alina Barnett, Jonathan Su, Cynthia Rudin
- Taking the Human Out of the Loop: A Review of Bayesian Optimization, Bobak Shahriari, Kevin Swersky, Ziyu Wang, Ryan P. Adams, and Nando de Freitas
- Dynamic Routing Between Capsules, Sara Sabour, Nicholas Frosst, Geoffrey E Hinton