| 2021 | Provable Distributed Stochastic Gradient Descent with Delayed Updates. | Hongchang Gao, Gang Wu, Ryan A. Rossi |
| 2021 | Faster Stochastic Second Order Method for Large-Scale Machine Learning Models. | Hongchang Gao, Heng Huang |
| 2021 | AutoGFS: Automated Group-based Feature Selection via Interactive Reinforcement Learning. | Wei Fan, Kunpeng Liu, Hao Liu, Ahmad Hariri, Dejing Dou, Yanjie Fu |
| 2021 | Noise-Response Analysis of Deep Neural Networks Quantifies Robustness and Fingerprints Structural Malware. | N. Benjamin Erichson, Dane Taylor, Qixuan Wu, Michael W. Mahoney |
| 2021 | Fairness-aware Agnostic Federated Learning. | Wei Du, Depeng Xu, Xintao Wu, Hanghang Tong |
| 2021 | Learning Reliable Rules under Class Imbalance. | Dimitrios I. Diochnos, Theodore B. Trafalis |
| 2021 | A Data-Dependent Algorithm for Querying Earth Mover's Distance with Low Doubling Dimensions. | Hu Ding, Tan Chen, Fan Yang, Mingyue Wang |
| 2021 | Verifying Tree Ensembles by Reasoning about Potential Instances. | Laurens Devos, Wannes Meert, Jesse Davis |
| 2021 | CiNet: Redesigning Deep Neural Networks for Efficient Mobile-Cloud Collaborative Inference. | Xin Dai, Xiangnan Kong, Tian Guo, Yixian Huang |
| 2021 | Quadratic Residual Networks: A New Class of Neural Networks for Solving Forward and Inverse Problems in Physics Involving PDEs. | Jie Bu, Anuj Karpatne |
| 2021 | Discovering Reliable Causal Rules. | Kailash Budhathoki, Mario Boley, Jilles Vreeken |
| 2021 | Better Short than Greedy: Interpretable Models through Optimal Rule Boosting. | Mario Boley, Simon Teshuva, Pierre Le Bodic, Geoffrey I. Webb |
| 2021 | Complexity-Adaptive Gaussian Process Model Inference for Large-Scale Data. | Fabian Berns, Christian Beecks |
| 2021 | Stochastic Time Series Representation for Interval Pattern Mining via Gaussian Processes. | Fabian Berns, Christian Beecks |
| 2021 | Synthesizing Skeletal Motion and Physiological Signals as a Function of a Virtual Human's Actions and Emotions. | Bonny Banerjee, Masoumeh Heidari Kapourchali, Murchana Baruah, Mousumi Deb, Kenneth Sakauye, Mette S. Olufsen |
| 2021 | GraphShop: Graph-based Approach for Shop-type Recommendation. | Guoyuan An, Sung Eui Yoon, Jae Yoon Kim, Lin Wang, Myoung Ho Kim |
| 2021 | PhraseScope: An Effective and Unsupervised Framework for Mining High Quality Phrases. | Omer Anjum, Mohammad Almasri, Jinjun Xiong, Wen-Mei W. Hwu |
| 2021 | Scalable Distributed Approximation of Internal Measures for Clustering Evaluation. | Federico Altieri, Andrea Pietracaprina, Geppino Pucci, Fabio Vandin |
| 2021 | Signature-Based Anomaly Detection in Networks. | Charu C. Aggarwal, Yao Li, Philip S. Yu |
| 2021 | LDFeRR: A Fuel-efficient Route Recommendation Approach for Long-distance Driving Based on Historical Trajectories. | Min Liu, Zhaohui Peng, Xiaohui Yu, Senzhang Wang, Qiao Song |
| 2021 | SUMDocS: Surrounding-aware Unsupervised Multi-Document Summarization. | Qi Zhu, Fang Guo, Jingjing Tian, Yuning Mao, Jiawei Han |
| 2021 | EduHawkes: A Neural Hawkes Process Approach for Online Study Behavior Modeling. | Lu Jiang, Pengyang Wang, Ke Cheng, Kunpeng Liu, Minghao Yin, Bo Jin, Yanjie Fu |
| 2021 | Disentangled Dynamic Graph Deep Generation. | Wenbin Zhang, Liming Zhang, Dieter Pfoser, Liang Zhao |
| 2021 | Predictive Optimization with Zero-Shot Domain Adaptation. | Tomoya Sakai, Naoto Ohsaka |
| 2021 | Multi-Armed Bandit Based Feature Selection. | Kunpeng Liu, Haibo Huang, Wei Zhang, Ahmad Hariri, Yanjie Fu, Kien A. Hua |