| 2019 | Training and Meta-Training Binary Neural Networks with Quantum Computing. | Abdulah Fawaz, Paul Klein, Sebastien Piat, Simone Severini, Peter Mountney |
| 2019 | Towards Sustainable Dairy Management - A Machine Learning Enhanced Method for Estrus Detection. | Kevin Fauvel, Vronique Masson, lisa Fromont, Philippe Faverdin, Alexandre Termier |
| 2019 | Multi-Horizon Time Series Forecasting with Temporal Attention Learning. | Chenyou Fan, Yuze Zhang, Yi Pan, Xiaoyue Li, Chi Zhang, Rong Yuan, Di Wu, Wensheng Wang, Jian Pei, Heng Huang |
| 2019 | Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation. | Shaohua Fan, Junxiong Zhu, Xiaotian Han, Chuan Shi, Linmei Hu, Biyu Ma, Yongliang Li |
| 2019 | MOBIUS: Towards the Next Generation of Query-Ad Matching in Baidu's Sponsored Search. | Miao Fan, Jiacheng Guo, Shuai Zhu, Shuo Miao, Mingming Sun, Ping Li |
| 2019 | Forecasting Big Time Series: Theory and Practice. | Christos Faloutsos, Valentin Flunkert, Jan Gasthaus, Tim Januschowski, Yuyang Wang |
| 2019 | Diagnosing Sample Ratio Mismatch in Online Controlled Experiments: A Taxonomy and Rules of Thumb for Practitioners. | Aleksander Fabijan, Jayant Gupchup, Somit Gupta, Jeff Omhover, Wen Qin, Lukas Vermeer, Pavel A. Dmitriev |
| 2019 | Optimizing Peer Learning in Online Groups with Affinities. | Mohammadreza Esfandiari, Dong Wei, Sihem Amer-Yahia, Senjuti Basu Roy |
| 2019 | Incompleteness in Networks: Biases, Skewed Results, and Some Solutions. | Tina Eliassi-Rad, Rajmonda Sulo Caceres, Timothy LaRock |
| 2019 | Sequential Scenario-Specific Meta Learner for Online Recommendation. | Zhengxiao Du, Xiaowei Wang, Hongxia Yang, Jingren Zhou, Jie Tang |
| 2019 | Applying Vision Based Predictive Modelling for Rapid Characterization of Shape Memory Polymer. | Ritaban Dutta, David Renshaw, Hong Yin, Daniel Liang |
| 2019 | Improve User Retention with Causal Learning. | Shuyang Du, James Lee, Farzin Ghaffarizadeh |
| 2019 | Discovering Unexpected Local Nonlinear Interactions in Scientific Black-box Models. | Michael Doron, Idan Segev, Dafna Shahaf |
| 2019 | Data Integration and Machine Learning: A Natural Synergy. | Xin Luna Dong, Theodoros Rekatsinas |
| 2019 | Network Density of States. | Kun Dong, Austin R. Benson, David Bindel |
| 2019 | Graph Transformation Policy Network for Chemical Reaction Prediction. | Kien Do, Truyen Tran, Svetha Venkatesh |
| 2019 | Relation Extraction via Domain-aware Transfer Learning. | Shimin Di, Yanyan Shen, Lei Chen |
| 2019 | Modeling Extreme Events in Time Series Prediction. | Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Xiangnan He |
| 2019 | Whole Page Optimization with Global Constraints. | Weicong Ding, Dinesh Govindaraj, S. V. N. Vishwanathan |
| 2019 | Infer Implicit Contexts in Real-time Online-to-Offline Recommendation. | Xichen Ding, Jie Tang, Tracy Xiao Liu, Cheng Xu, Yaping Zhang, Feng Shi, Qixia Jiang, Dan Shen |
| 2019 | Shrinkage Estimators in Online Experiments. | Drew Dimmery, Eytan Bakshy, Jasjeet S. Sekhon |
| 2019 | PerDREP: Personalized Drug Effectiveness Prediction from Longitudinal Observational Data. | Sanjoy Dey, Ping Zhang, Daby Sow, Kenney Ng |
| 2019 | Finding Users Who Act Alike: Transfer Learning for Expanding Advertiser Audiences. | Stephanie deWet, Jiafan Ou |
| 2019 | Streaming Adaptation of Deep Forecasting Models using Adaptive Recurrent Units. | Prathamesh Deshpande, Sunita Sarawagi |
| 2019 | Learning Dynamic Context Graphs for Predicting Social Events. | Songgaojun Deng, Huzefa Rangwala, Yue Ning |