| 2021 | Heterogeneous Graph Neural Networks for Query-focused Summarization. | Jing Ya, Tingwen Liu, Jiangxia Cao, Li Guo |
| 2021 | Reconstruction-based Anomaly Detection with Completely Random Forest. | Yi-Xuan Xu, Ming Pang, Ji Feng, Kai Ming Ting, Yuan Jiang, Zhi-Hua Zhou |
| 2021 | Yet Meta Learning Can Adapt Fast, it Can Also Break Easily. | Han Xu, Yaxin Li, Xiaorui Liu, Hui Liu, Jiliang Tang |
| 2021 | Deep Multi-Instance Contrastive Learning with Dual Attention for Anomaly Precursor Detection. | Dongkuan Xu, Wei Cheng, Jingchao Ni, Dongsheng Luo, Masanao Natsumeda, Dongjin Song, Bo Zong, Haifeng Chen, Xiang Zhang |
| 2021 | Mining Easily Understandable Models from Complex Event Logs. | Boris Wiegand, Dietrich Klakow, Jilles Vreeken |
| 2021 | Fair Classification Under Strict Unawareness. | Haoyu Wang, Hengtong Zhang, Yaqing Wang, Jing Gao |
| 2021 | MT-STNets: Multi-Task Spatial-Temporal Networks for Multi-Scale Traffic Prediction. | Senzhang Wang, Meiyue Zhang, Hao Miao, Philip S. Yu |
| 2021 | Towards Learning Outcome Prediction via Modeling Question Explanations and Student Responses. | Tianqi Wang, Fenglong Ma, Yaqing Wang, Tang Tang, Longfei Zhang, Jing Gao |
| 2021 | Adaptive Holding for Online Bottleneck Matching with Delays. | Kaixin Wang, Cheng Long, Yongxin Tong, Jie Zhang, Yi Xu |
| 2021 | A Dimensionality-Driven Approach for Unsupervised Out-of-distribution Detection. | Qizhou Wang, Sarah M. Erfani, Christopher Leckie, Michael E. Houle |
| 2021 | Session-based Recommendation with Hypergraph Attention Networks. | Jianling Wang, Kaize Ding, Ziwei Zhu, James Caverlee |
| 2021 | Temporal-Aware Graph Neural Network for Credit Risk Prediction. | Daixin Wang, Zhiqiang Zhang, Jun Zhou, Peng Cui, Jingli Fang, Quanhui Jia, Yanming Fang, Yuan Qi |
| 2021 | A Deep Adversarial Model for Suffix and Remaining Time Prediction of Event Sequences. | Farbod Taymouri, Marcello La Rosa, Sarah M. Erfani |
| 2021 | Frank-Wolfe algorithm for learning SVM-type multi-category classifiers. | Kenya Tajima, Yoshihiro Hirohashi, Esmeraldo Ronnie Rey Zara, Tsuyoshi Kato |
| 2021 | Learning over Families of Sets - Hypergraph Representation Learning for Higher Order Tasks. | Balasubramaniam Srinivasan, Da Zheng, George Karypis |
| 2021 | UNIANO: robust and efficient anomaly consensus in time series sensitive to cross-correlated anomaly profiles. | Leonor Silva, Helena Galhardas, Vasco Manquinho, Rui Henriques |
| 2021 | HALO: Learning to Prune Neural Networks with Shrinkage. | Skyler Seto, Martin T. Wells, Wenyu Zhang |
| 2021 | Random Features Strengthen Graph Neural Networks. | Ryoma Sato, Makoto Yamada, Hisashi Kashima |
| 2021 | PRESTO: Simple and Scalable Sampling Techniques for the Rigorous Approximation of Temporal Motif Counts. | Ilie Sarpe, Fabio Vandin |
| 2021 | Influencers and the Giant Component: The Fundamental Hardness in Privacy Protection for Socially Contagious Attributes. | Aria Rezaei, Jie Gao, Anand D. Sarwate |
| 2021 | Contradictory Structure Learning for Semi-supervised Domain Adaptation. | Can Qin, Lichen Wang, Qianqian Ma, Yu Yin, Huan Wang, Yun Fu |
| 2021 | Efficient Permutation Testing for Significant Sequential Patterns. | Sam Pinxteren, Toon Calders |
| 2021 | Submodular Maximization via Taylor Series Approximation. | Gzde zcan, Armin Moharrer, Stratis Ioannidis |
| 2021 | Exceptional Model Mining meets Multi-objective Optimization. | Alexandre Millot, Rmy Cazabet, Jean-Franois Boulicaut |
| 2021 | Estimating Conditional Mutual Information for Discrete-Continuous Mixtures using Multi-Dimensional Adaptive Histograms. | Alexander Marx, Lincen Yang, Matthijs van Leeuwen |