| 2018 | Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning. | Thomas Vandal, Evan Kodra, Jennifer G. Dy, Sangram Ganguly, Ramakrishna R. Nemani, Auroop R. Ganguly |
| 2018 | A Real-time Framework for Detecting Efficiency Regressions in a Globally Distributed Codebase. | Martin Valdez-Vivas, Caner Gocmen, Andrii Korotkov, Ethan Fang, Kapil Goenka, Sherry Chen |
| 2018 | Deep Recursive Network Embedding with Regular Equivalence. | Ke Tu, Peng Cui, Xiao Wang, Philip S. Yu, Wenwu Zhu |
| 2018 | NetLSD: Hearing the Shape of a Graph. | Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Emmanuel Mller |
| 2018 | Latent Variable Time-varying Network Inference. | Federico Tomasi, Veronica Tozzo, Saverio Salzo, Alessandro Verri |
| 2018 | Isolation Kernel and Its Effect on SVM. | Kai Ming Ting, Yue Zhu, Zhi-Hua Zhou |
| 2018 | Count-Min: Optimal Estimation and Tight Error Bounds using Empirical Error Distributions. | Daniel Ting |
| 2018 | On Big Data Learning for Small Data Problems. | Yee Whye Teh |
| 2018 | Multi-Cast Attention Networks. | Yi Tay, Luu Anh Tuan, Siu Cheung Hui |
| 2018 | Multi-Pointer Co-Attention Networks for Recommendation. | Yi Tay, Anh Tuan Luu, Siu Cheung Hui |
| 2018 | NGUARD: A Game Bot Detection Framework for NetEase MMORPGs. | Jianrong Tao, Jiarong Xu, Linxia Gong, Yifu Li, Changjie Fan, Zhou Zhao |
| 2018 | Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender System. | Jiaxi Tang, Ke Wang |
| 2018 | Data Diff: Interpretable, Executable Summaries of Changes in Distributions for Data Wrangling. | Charles Sutton, Timothy Hobson, James Geddes, Rich Caruana |
| 2018 | Learning Tasks for Multitask Learning: Heterogenous Patient Populations in the ICU. | Harini Suresh, Jen J. Gong, John V. Guttag |
| 2018 | Exploring the Urban Region-of-Interest through the Analysis of Online Map Search Queries. | Ying Sun, Hengshu Zhu, Fuzhen Zhuang, Jingjing Gu, Qing He |
| 2018 | Identify Susceptible Locations in Medical Records via Adversarial Attacks on Deep Predictive Models. | Mengying Sun, Fengyi Tang, Jinfeng Yi, Fei Wang, Jiayu Zhou |
| 2018 | Multi-Round Influence Maximization. | Lichao Sun, Weiran Huang, Philip S. Yu, Wei Chen |
| 2018 | Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases. | Mengying Sun, Inci M. Baytas, Liang Zhan, Zhangyang Wang, Jiayu Zhou |
| 2018 | Estimating Glaucomatous Visual Sensitivity from Retinal Thickness with Pattern-Based Regularization and Visualization. | Hiroki Sugiura, Taichi Kiwaki, Siamak Yousefi, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi |
| 2018 | Corpus Conversion Service: A Machine Learning Platform to Ingest Documents at Scale. | Peter W. J. Staar, Michele Dolfi, Christoph Auer, Costas Bekas |
| 2018 | A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual &Group Unfairness via Inequality Indices. | Till Speicher, Hoda Heidari, Nina Grgic-Hlaca, Krishna P. Gummadi, Adish Singla, Adrian Weller, Muhammad Bilal Zafar |
| 2018 | Deep r -th Root of Rank Supervised Joint Binary Embedding for Multivariate Time Series Retrieval. | Dongjin Song, Ning Xia, Wei Cheng, Haifeng Chen, Dacheng Tao |
| 2018 | Algorithms, Data, Hardware and Tools: A Perfect Storm. | Alex Smola |
| 2018 | Planet-Scale Land Cover Classification with FPGAs. | Joseph Sirosh |
| 2018 | Fairness of Exposure in Rankings. | Ashudeep Singh, Thorsten Joachims |