| 2022 | Invertibility aware Integration of Static and Time-series data: An application to Lake Temperature Modeling. | Kshitij Tayal, Xiaowei Jia, Rahul Ghosh, Jared Willard, Jordan S. Read, Vipin Kumar |
| 2022 | ConLearn: Contextual-knowledge-aware Concept Prerequisite Relation Learning with Graph Neural Network. | Hao Sun, Yuntao Li, Yan Zhang |
| 2022 | Multi-interest Sequence Modeling for Recommendation with Causal Embedding. | Caiqi Sun, Penghao Lu, Lei Cheng, Zhenfu Cao, Xiaolei Dong, Yili Tang, Jun Zhou, Linjian Mo |
| 2022 | Classic Graph Structural Features Outperform Factorization-Based Graph Embedding Methods on Community Labeling. | Andrew Stolman, Caleb C. Levy, C. Seshadhri, Aneesh Sharma |
| 2022 | Exceptional Model Mining for Repeated Cross-Sectional Data (EMM-RCS). | Rianne Margaretha Schouten, Wouter Duivesteijn, Mykola Pechenizkiy |
| 2022 | Constrained Mean Shift Clustering. | Maximilian Schier, Christoph Reinders, Bodo Rosenhahn |
| 2022 | Private Recommender Systems: How Can Users Build Their Own Fair Recommender Systems without Log Data? | Ryoma Sato |
| 2022 | Leveraging Dependencies among Learned Temporal Subsequences. | Shoumik Roychoudhury, Fang Zhou, Zoran Obradovic |
| 2022 | A Strong Node Classification Baseline for Temporal Graphs. | Farimah Poursafaei, Zeljko Zilic, Reihaneh Rabbany |
| 2022 | StepDIRECT - A Derivative-Free Optimization Method for Stepwise Functions. | Dzung T. Phan, Hongsheng Liu, Lam M. Nguyen |
| 2022 | FAME: Fragment-based Conditional Molecular Generation for Phenotypic Drug Discovery. | Thai-Hoang Pham, Lei Xie, Ping Zhang |
| 2022 | Efficient Wind Speed Nowcasting with GPU-Accelerated Nearest Neighbors Algorithm. | Arnaud Pannatier, Ricardo Picatoste, Franois Fleuret |
| 2022 | Input Selection for Bandwidth-Limited Neural Network Inference. | Stefan Oehmcke, Fabian Gieseke |
| 2022 | Cyclic Transfer Learning for Recommender Systems with Heterogeneous Feedbacks. | Xuelian Ni, Fei Xiong, Yutian Hu, Shirui Pan, Hongshu Chen, Liang Wang |
| 2022 | Masked Gradient-Based Causal Structure Learning. | Ignavier Ng, Shengyu Zhu, Zhuangyan Fang, Haoyang Li, Zhitang Chen, Jun Wang |
| 2022 | DeepGLSTM: Deep Graph Convolutional Network and LSTM based approach for predicting drug-target binding affinity. | Shrimon Mukherjee, Madhusudan Ghosh, Partha Basuchowdhuri |
| 2022 | Early Forecasting of the Impact of Traffic Accidents Using a Single Shot Observation. | Guangyu Meng, Qisheng Jiang, Kaiqun Fu, Beiyu Lin, Chang-Tien Lu, Zhqian Chen |
| 2022 | SAGA: Signal-Aware Graph Aggregation. | Maxwell McNeil, Boya Ma, Petko Bogdanov |
| 2022 | FedMe: Federated Learning via Model Exchange. | Koji Matsuda, Yuya Sasaki, Chuan Xiao, Makoto Onizuka |
| 2022 | Estimating Mutual Information via Geodesic | Alexander Marx, Jonas Fischer |
| 2022 | Hybrid Tokenization and Datasets for Solving Mathematics and Science Problems Using Transformers. | Pratik Mandlecha, Snehith Kumar Chatakonda, Neeraj Kollepara, Pawan Kumar |
| 2022 | Multiperiod Corporate Default Prediction Through Neural Parametric Family Learning. | Wei-Lun Luo, Yu-Ming Lu, Jheng-Hong Yang, Jin-Chuan Duan, Chuan-Ju Wang |
| 2022 | Continuously Generalized Ordinal Regression for Linear and Deep Models. | Fred Lu, Francis Ferraro, Edward Raff |
| 2022 | Adaptive Principal Component Analysis. | Xiangyu Li, Hua Wang |
| 2022 | Sensitivity-aware Distance Measurement for Boosting Metric Learning. | Haoliang Liu, Tan Yu, Ping Li |