| 2020 | Semi-Supervised Multi-Label Learning from Crowds via Deep Sequential Generative Model. | Wanli Shi, Victor S. Sheng, Xiang Li, Bin Gu |
| 2020 | Compositional Embeddings Using Complementary Partitions for Memory-Efficient Recommendation Systems. | Hao-Jun Michael Shi, Dheevatsa Mudigere, Maxim Naumov, Jiyan Yang |
| 2020 | Shop The Look: Building a Large Scale Visual Shopping System at Pinterest. | Raymond Shiau, Hao-Yu Wu, Eric Kim, Yue Li Du, Anqi Guo, Zhiyuan Zhang, Eileen Li, Kunlong Gu, Charles Rosenberg, Andrew Zhai |
| 2020 | In Search for a Cure: Recommendation With Knowledge Graph on CORD-19. | Iris Shen, Le Zhang, Jianxun Lian, Chieh-Han Wu, Miguel Gonzlez-Fierro, Andreas Argyriou, Tao Wu |
| 2020 | Stable Learning via Differentiated Variable Decorrelation. | Zheyan Shen, Peng Cui, Jiashuo Liu, Tong Zhang, Bo Li, Zhitang Chen |
| 2020 | A New Delay Differential Equation Model for COVID-19. | B. Shayak, Mohit Manoj Sharma, Manas Gaur |
| 2020 | Public Health Implications of a delay differential equation model for COVID 19. | Mohit Manoj Sharma, B. Shayak |
| 2020 | Hi-CI: Deep Causal Inference in High Dimensions. | Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff |
| 2020 | List-wise Fairness Criterion for Point Processes. | Jin Shang, Mingxuan Sun, Nina Siu-Ngan Lam |
| 2020 | Introduction to Computer Vision and Real Time Deep Learning-based Object Detection. | James G. Shanahan, Liang Dai |
| 2020 | Finding Contextually Consistent Information Units in Legal Text. | Dominic Seyler, Paul Bruin, Pavan Bayyapu, ChengXiang Zhai |
| 2020 | Using Machine Learning to Detect Cancer Early. | Jan Schellenberger |
| 2020 | Abstractive Summarization of Spoken and Written Instructions with BERT. | Alexandra Savelieva, Bryan Au-Yeung, Vasanth Ramani |
| 2020 | SimClusters: Community-Based Representations for Heterogeneous Recommendations at Twitter. | Venu Satuluri, Yao Wu, Xun Zheng, Yilei Qian, Brian Wichers, Qieyun Dai, Gui Ming Tang, Jerry Jiang, Jimmy Lin |
| 2020 | Dealing with Bias and Fairness in Data Science Systems: A Practical Hands-on Tutorial. | Pedro Saleiro, Kit T. Rodolfa, Rayid Ghani |
| 2020 | BLOB: A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals. | Otmane Sakhi, Stephen Bonner, David Rohde, Flavian Vasile |
| 2020 | Off-policy Bandits with Deficient Support. | Noveen Sachdeva, Yi Su, Thorsten Joachims |
| 2020 | Doing in One Go: Delivery Time Inference Based on Couriers' Trajectories. | Sijie Ruan, Zi Xiong, Cheng Long, Yiheng Chen, Jie Bao, Tianfu He, Ruiyuan Li, Shengnan Wu, Zhongyuan Jiang, Yu Zheng |
| 2020 | Return of the AI: An Analysis of Legal Research on Artificial Intelligence using Topic Modeling. | Constanta Rosca, Bogdan Covrig, Catalina Goanta, Gijs van Dijck, Gerasimos Spanakis |
| 2020 | Deep Graph Learning: Foundations, Advances and Applications. | Yu Rong, Tingyang Xu, Junzhou Huang, Wenbing Huang, Hong Cheng, Yao Ma, Yiqi Wang, Tyler Derr, Lingfei Wu, Tengfei Ma |
| 2020 | Accelerating and Expanding End-to-End Data Science Workflows with DL/ML Interoperability Using RAPIDS. | Bartley Richardson, Bradley Rees, Tom Drabas, Even Oldridge, David A. Bader, Rachel Allen |
| 2020 | DeepSinger: Singing Voice Synthesis with Data Mined From the Web. | Yi Ren, Xu Tan, Tao Qin, Jian Luan, Zhou Zhao, Tie-Yan Liu |
| 2020 | ST-SiameseNet: Spatio-Temporal Siamese Networks for Human Mobility Signature Identification. | Huimin Ren, Menghai Pan, Yanhua Li, Xun Zhou, Jun Luo |
| 2020 | DeepSpeed: System Optimizations Enable Training Deep Learning Models with Over 100 Billion Parameters. | Jeff Rasley, Samyam Rajbhandari, Olatunji Ruwase, Yuxiong He |
| 2020 | Innovating with Language AI. | Ashwin Ram |