| 2023 | Toward Interpretable Machine Learning: Constructing Polynomial Models Based on Feature Interaction Trees. | Jisoo Jang, Mina Kim, Tien-Cuong Bui, Wen-Syan Li |
| 2023 | Continuously Predicting the Completion of a Time Intervals Related Pattern. | Nevo Itzhak, Szymon Jaroszewicz, Robert Moskovitch |
| 2023 | MPool: Motif-Based Graph Pooling. | Muhammad Ifte Khairul Islam, Max Khanov, Esra Akbas |
| 2023 | Anti-Money Laundering in Cryptocurrency via Multi-Relational Graph Neural Network. | Woochang Hyun, Jaehong Lee, Bongwon Suh |
| 2023 | Dynamic Variable Dependency Encoding and Its Application on Change Point Detection. | Hao Huang, Shinjae Yoo |
| 2023 | Maverick Matters: Client Contribution and Selection in Federated Learning. | Jiyue Huang, Chi Hong, Yang Liu, Lydia Y. Chen, Stefanie Roos |
| 2023 | Fast and Attributed Change Detection on Dynamic Graphs with Density of States. | Shenyang Huang, Jacob Danovitch, Guillaume Rabusseau, Reihaneh Rabbany |
| 2023 | Interactive Pattern Mining Using Discriminant Sub-patterns as Dynamic Features. | Arnold Hien, Samir Loudni, Noureddine Aribi, Abdelkader Ouali, Albrecht Zimmermann |
| 2023 | CondTraj-GAN: Conditional Sequential GAN for Generating Synthetic Vehicle Trajectories. | Nils Henke, Shimon Wonsak, Prasenjit Mitra, Michael Nolting, Nicolas Tempelmeier |
| 2023 | QA-Matcher: Unsupervised Entity Matching Using a Question Answering Model. | Shogo Hayashi, Yuyang Dong, Masafumi Oyamada |
| 2023 | Achieving Counterfactual Fairness for Anomaly Detection. | Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan |
| 2023 | Inline Citation Classification Using Peripheral Context and Time-Evolving Augmentation. | Priyanshi Gupta, Yash Kumar Atri, Apurva Nagvenkar, Sourish Dasgupta, Tanmoy Chakraborty |
| 2023 | A Graph Contrastive Learning Framework with Adaptive Augmentation and Encoding for Unaligned Views. | Yifu Guo, Yong Liu |
| 2023 | Weight Prediction Boosts the Convergence of AdamW. | Lei Guan |
| 2023 | Fake News Detection Through Temporally Evolving User Interactions. | Shuzhi Gong, Richard O. Sinnott, Jianzhong Qi, Ccile Paris |
| 2023 | cPNN: Continuous Progressive Neural Networks for Evolving Streaming Time Series. | Federico Giannini, Giacomo Ziffer, Emanuele Della Valle |
| 2023 | Fair Healthcare Rationing to Maximize Dynamic Utilities. | Aadityan Ganesh, Pratik Ghosal, Vishwa Prakash HV, Prajakta Nimbhorkar |
| 2023 | Dynamically-Scaled Deep Canonical Correlation Analysis. | Tomer Friedlander, Lior Wolf |
| 2023 | bfkNN-Embed: Locally Smoothed Embedding Mixtures for Multi-interest Candidate Retrieval. | Ahmed El-Kishky, Thomas Markovich, Kenny Leung, Frank Portman, Aria Haghighi, Ying Xiao |
| 2023 | Multi-Agent Meta-Reinforcement Learning with Coordination and Reward Shaping for Traffic Signal Control. | Xin Du, Jiahai Wang, Siyuan Chen |
| 2023 | CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data Using Normalizing Flows. | Tri Dung Duong, Qian Li, Guandong Xu |
| 2023 | Few-Shot Human Motion Prediction for Heterogeneous Sensors. | Rafael Rgo Drumond, Lukas Brinkmeyer, Lars Schmidt-Thieme |
| 2023 | RL-Net: Interpretable Rule Learning with Neural Networks. | Lucile Dierckx, Rosana Veroneze, Siegfried Nijssen |
| 2023 | Let the Model Make Financial Senses: A Text2Text Generative Approach for Financial Complaint Identification. | Sarmistha Das, Apoorva Singh, Raghav Jain, Sriparna Saha, Alka Maurya |
| 2023 | Pure Spectral Graph Embeddings: Reinterpreting Graph Convolution for Top-N Recommendation. | Edoardo D'Amico, Aonghus Lawlor, Neil Hurley |