Deep Neural Networks for YouTube Recommendations. - Paul Covington; Jay Adams; Emre Sargin (RecSys, 2016)

Latent Cross: Making Use of Context in Recurrent Recommender Systems. - Alex Beutel; Paul Covington; Sagar Jain; Can Xu; Jia Li; Vince Gatto; Ed H. Chi (WSDM, 2018)

Top-K Off-Policy Correction for a REINFORCE Recommender System. - Minmin Chen; Alex Beutel; Paul Covington; Sagar Jain; Francois Belletti; Ed H. Chi (WSDM, 2019)

Reinforcement Learning for Slate-based Recommender Systems: A Tractable Decomposition and Practical Methodology. - Eugene Ie; Vihan Jain; Jing Wang; Sanmit Narvekar; Ritesh Agarwal; Rui Wu 020; Heng-Tze Cheng; Morgane Lustman; Vince Gatto; Paul Covington; Jim McFadden; Tushar Chandra; et al. (CoRR, 2019)

KEMP: Keyframe-Based Hierarchical End-to-End Deep Model for Long- Term Trajectory Prediction. - Qiujing Lu; Weiqiao Han; Jeffrey Ling; Minfa Wang; Haoyu Chen; Balakrishnan Varadarajan; Paul Covington (ICRA, 2022)

EMMA: End-to-End Multimodal Model for Autonomous Driving. - Jyh-Jing Hwang; Runsheng Xu; Hubert Lin; Wei-Chih Hung; Jingwei Ji; Kristy Choi; Di Huang; Tong He; Paul Covington; Benjamin Sapp; James Guo; Dragomir Anguelov; et al. (CoRR, 2024)

EMMA: End-to-End Multimodal Model for Autonomous Driving. - Jyh-Jing Hwang; Runsheng Xu; Hubert Lin; Wei-Chih Hung; Jingwei Ji; Kristy Choi; Di Huang; Tong He; Paul Covington; Benjamin Sapp; Yin Zhou; James Guo; et al. (Trans. Mach. Learn. Res., 2025)