| 2021 | Practitioner-Centric Approach for Early Incident Detection Using Crowdsourced Data for Emergency Services. | Yasas Senarath, Ayan Mukhopadhyay, Sayyed Mohsen Vazirizade, Hemant Purohit, Saideep Nannapaneni, Abhishek Dubey |
| 2021 | Fast Attributed Graph Embedding via Density of States. | Saurabh Sawlani, Lingxiao Zhao, Leman Akoglu |
| 2021 | Alternative Ruleset Discovery to Support Black-box Model Predictions. | Yoichi Sasaki, Yuzuru Okajima |
| 2021 | Better Prevent than React: Deep Stratified Learning to Predict Hate Intensity of Twitter Reply Chains. | Dhruv Sahnan, Snehil Dahiya, Vasu Goel, Anil Bandhakavi, Tanmoy Chakraborty |
| 2021 | Truth Discovery in Sequence Labels from Crowds. | Nasim Sabetpour, Adithya Kulkarni, Sihong Xie, Qi Li |
| 2021 | Scalable Pareto Front Approximation for Deep Multi-Objective Learning. | Michael Ruchte, Josif Grabocka |
| 2021 | Robust Low-rank Deep Feature Recovery in CNNs: Toward Low Information Loss and Fast Convergence. | Jiahuan Ren, Zhao Zhang, Jicong Fan, Haijun Zhang, Mingliang Xu, Meng Wang |
| 2021 | Causal Discovery with Flow-based Conditional Density Estimation. | Shaogang Ren, Haiyan Yin, Mingming Sun, Ping Li |
| 2021 | Incomplete Multi-view Multi-label Active Learning. | Chuanwei Qu, Kuangmeng Wang, Hong Zhang, Guoxian Yu, Carlotta Domeniconi |
| 2021 | Memory Augmented Multi-Instance Contrastive Predictive Coding for Sequential Recommendation. | Ruihong Qiu, Zi Huang, Hongzhi Yin |
| 2021 | GQNAS: Graph Q Network for Neural Architecture Search. | Yijian Qin, Xin Wang, Peng Cui, Wenwu Zhu |
| 2021 | Density-Based Clustering for Adaptive Density Variation. | Li Qian, Claudia Plant, Christian Bhm |
| 2021 | Powered Hawkes-Dirichlet Process: Challenging Textual Clustering using a Flexible Temporal Prior. | Gal Poux-Mdard, Julien Velcin, Sabine Loudcher |
| 2021 | Cardiac Complication Risk Profiling for Cancer Survivors via Multi-View Multi-Task Learning. | Thai-Hoang Pham, Changchang Yin, Laxmi Mehta, Xueru Zhang, Ping Zhang |
| 2021 | GraphANGEL: Adaptive aNd Structure-Aware Sampling on Graph NEuraL Networks. | Jingshu Peng, Yanyan Shen, Lei Chen |
| 2021 | Sequential Diagnosis Prediction with Transformer and Ontological Representation. | Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang |
| 2021 | A general framework for mining concept-drifting data streams with evolvable features. | Jiaqi Peng, Jinxia Guo, Qinli Yang, Jianyun Lu, Junming Shao |
| 2021 | Towards Generating Real-World Time Series Data. | Hengzhi Pei, Kan Ren, Yuqing Yang, Chang Liu, Tao Qin, Dongsheng Li |
| 2021 | Multi-Classification Prediction of Alzheimer's Disease based on Fusing Multi-modal Features. | Qiao Pan, Ke Ding, Dehua Chen |
| 2021 | STING: Self-attention based Time-series Imputation Networks using GAN. | Eunkyu Oh, Taehun Kim, Yunhu Ji, Sushil Khyalia |
| 2021 | Cutting to the Chase with Warm-Start Contextual Bandits. | Bastian Oetomo, R. Malinga Perera, Renata Borovica-Gajic, Benjamin I. P. Rubinstein |
| 2021 | Label Dependent Attention Model for Disease Risk Prediction Using Multimodal Electronic Health Records. | Shuai Niu, Qing Yin, Yunya Song, Yike Guo, Xian Yang |
| 2021 | MetaEDL: Meta Evidential Learning For Uncertainty-Aware Cold-Start Recommendations. | Krishna Prasad Neupane, Ervine Zheng, Qi Yu |
| 2021 | Exploring Reflective Limitation of Behavior Cloning in Autonomous Vehicles. | Mohammad Hossein Nazeri, Mahdi Bohlouli |
| 2021 | Outlier-Robust Multi-View Subspace Clustering with Prior Constraints. | Mehrnaz Najafi, Lifang He, Philip S. Yu |