| 2020 | MoFlow: An Invertible Flow Model for Generating Molecular Graphs. | Chengxi Zang, Fei Wang |
| 2020 | Combo-Attention Network for Baidu Video Advertising. | Tan Yu, Yi Yang, Yi Li, Xiaodong Chen, Mingming Sun, Ping Li |
| 2020 | Predicting Temporal Sets with Deep Neural Networks. | Le Yu, Leilei Sun, Bowen Du, Chuanren Liu, Hui Xiong, Weifeng Lv |
| 2020 | STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths. | Yue Yu, Yinghao Li, Jiaming Shen, Hao Feng, Jimeng Sun, Chao Zhang |
| 2020 | Semi-supervised Collaborative Filtering by Text-enhanced Domain Adaptation. | Wenhui Yu, Xiao Lin, Junfeng Ge, Wenwu Ou, Zheng Qin |
| 2020 | XGNN: Towards Model-Level Explanations of Graph Neural Networks. | Hao Yuan, Jiliang Tang, Xia Hu, Shuiwang Ji |
| 2020 | A Block Decomposition Algorithm for Sparse Optimization. | Ganzhao Yuan, Li Shen, Wei-Shi Zheng |
| 2020 | Learning Latent Causal Structures with a Redundant Input Neural Network. | Jonathan D. Young, Bryan Andrews, Gregory F. Cooper, Xinghua Lu |
| 2020 | Ultrafast Local Outlier Detection from a Data Stream with Stationary Region Skipping. | Susik Yoon, Jae-Gil Lee, Byung Suk Lee |
| 2020 | Hypergraph Convolutional Recurrent Neural Network. | Jaehyuk Yi, Jinkyoo Park |
| 2020 | Learning to Generate Personalized Query Auto-Completions via a Multi-View Multi-Task Attentive Approach. | Di Yin, Jiwei Tan, Zhe Zhang, Hongbo Deng, Shujian Huang, Jiajun Chen |
| 2020 | Identifying Sepsis Subphenotypes via Time-Aware Multi-Modal Auto-Encoder. | Changchang Yin, Ruoqi Liu, Dongdong Zhang, Ping Zhang |
| 2020 | Learning Transferrable Parameters for Long-tailed Sequential User Behavior Modeling. | Jianwen Yin, Chenghao Liu, Weiqing Wang, Jianling Sun, Steven C. H. Hoi |
| 2020 | LogPar: Logistic PARAFAC2 Factorization for Temporal Binary Data with Missing Values. | Kejing Yin, Ardavan Afshar, Joyce C. Ho, William K. Cheung, Chao Zhang, Jimeng Sun |
| 2020 | User Sentiment as a Success Metric: Persistent Biases Under Full Randomization. | Ercan Yildiz, Joshua Safyan, Marc Harper |
| 2020 | Put Deep Learning to Work: Accelerate Deep Learning through Amazon SageMaker and ML Services. | Wenming Ye, Rachel Hu, Miro Enev |
| 2020 | Predicting Individual Treatment Effects of Large-scale Team Competitions in a Ride-sharing Economy. | Teng Ye, Wei Ai, Lingyu Zhang, Ning Luo, Lulu Zhang, Jieping Ye, Qiaozhu Mei |
| 2020 | Learning with Small Data. | Huaxiu Yao, Xiaowei Jia, Vipin Kumar, Zhenhui Li |
| 2020 | Ads Allocation in Feed via Constrained Optimization. | Jinyun Yan, Zhiyuan Xu, Birjodh Singh Tiwana, Shaunak Chatterjee |
| 2020 | TinyGNN: Learning Efficient Graph Neural Networks. | Bencheng Yan, Chaokun Wang, Gaoyang Guo, Yunkai Lou |
| 2020 | MultiSage: Empowering GCN with Contextualized Multi-Embeddings on Web-Scale Multipartite Networks. | Carl Yang, Aditya Pal, Andrew Zhai, Nikil Pancha, Jiawei Han, Charles Rosenberg, Jure Leskovec |
| 2020 | AutoML Pipeline Selection: Efficiently Navigating the Combinatorial Space. | Chengrun Yang, Jicong Fan, Ziyang Wu, Madeleine Udell |
| 2020 | Understanding Negative Sampling in Graph Representation Learning. | Zhen Yang, Ming Ding, Chang Zhou, Hongxia Yang, Jingren Zhou, Jie Tang |
| 2020 | A Sleeping, Recovering Bandit Algorithm for Optimizing Recurring Notifications. | Kevin P. Yancey, Burr Settles |
| 2020 | Unsupervised Translation via Hierarchical Anchoring: Functional Mapping of Places across Cities. | Takahiro Yabe, Kota Tsubouchi, Toru Shimizu, Yoshihide Sekimoto, Satish V. Ukkusuri |