| 2023 | MetaCitta: Deep Meta-Learning for Spatio-Temporal Prediction Across Cities and Tasks. | Ashutosh Sao, Simon Gottschalk, Nicolas Tempelmeier, Elena Demidova |
| 2023 | Quantifying the Bias of Transformer-Based Language Models for African American English in Masked Language Modeling. | Flavia Salutari, Jerome Ramos, Hossein A. Rahmani, Leonardo Linguaglossa, Aldo Lipani |
| 2023 | Multi-task Student Teacher Based Unsupervised Domain Adaptation for Address Parsing. | Rishav Sahay, Anoop Saladi, Prateek Sircar |
| 2023 | An Extended Variational Mode Decomposition Algorithm Developed Speech Emotion Recognition Performance. | David Hason Rudd, Huan Huo, Guandong Xu |
| 2023 | Parameter-Free Bayesian Decision Trees for Uplift Modeling. | Mina Rafla, Nicolas Voisine, Bruno Crmilleux |
| 2023 | Multi-fair Capacitated Students-Topics Grouping Problem. | Tai Le Quy, Gunnar Friege, Eirini Ntoutsi |
| 2023 | An Effective WGAN-Based Anomaly Detection Model for IoT Multivariate Time Series. | Sibo Qi, Juan Chen, Peng Chen, Peian Wen, Wenyu Shan, Ling Xiong |
| 2023 | Relation-Aware Network with Attention-Based Loss for Few-Shot Knowledge Graph Completion. | Qiao Qiao, Yuepei Li, Kang Zhou, Qi Li |
| 2023 | Generative-Contrastive-Attentive Spatial-Temporal Network for Traffic Data Imputation. | Wenchuang Peng, Youfang Lin, Shengnan Guo, Weiwen Tang, Le Liu, Huaiyu Wan |
| 2023 | Adversarial Active Learning with Guided BERT Feature Encoding. | Xiaolin Pang, Kexin Xie, Yuxi Zhang, Max Fleming, Damian Chen Xu, Wei Liu |
| 2023 | GroupMixNorm Layer for Learning Fair Models. | Anubha Pandey, Aditi Rai, Maneet Singh, Deepak Bhatt, Tanmoy Bhowmik |
| 2023 | Stochastic Submodular Maximization via Polynomial Estimators. | Gzde zcan, Stratis Ioannidis |
| 2023 | A Dynamic and Task-Independent Reward Shaping Approach for Discrete Partially Observable Markov Decision Processes. | Sepideh Nahali, Hajer Ayadi, Jimmy X. Huang, Esmat Pakizeh, Mir Mohsen Pedram, Leila Safari |
| 2023 | Exploiting Phrase Interrelations in Span-level Neural Approaches for Aspect Sentiment Triplet Extraction. | Iwo Naglik, Mateusz Lango |
| 2023 | Web-Scale Semantic Product Search with Large Language Models. | Aashiq Muhamed, Sriram Srinivasan, Choon Hui Teo, Qingjun Cui, Belinda Zeng, Trishul Chilimbi, S. V. N. Vishwanathan |
| 2023 | A Multi-player MAB Approach for Distributed Selection Problems. | Jinyu Mo, Hong Xie |
| 2023 | Selecting the Number of Clusters K with a Stability Trade-off: An Internal Validation Criterion. | Alex Mourer, Florent Forest, Mustapha Lebbah, Hanane Azzag, Jrme Lacaille |
| 2023 | pFedV: Mitigating Feature Distribution Skewness via Personalized Federated Learning with Variational Distribution Constraints. | Yongli Mou, Jiahui Geng, Feng Zhou, Oya Beyan, Chunming Rong, Stefan Decker |
| 2023 | A Consumer-Good-Type Aware Itemset Placement Framework for Retail Businesses. | Raghav Mittal, Anirban Mondal, P. Krishna Reddy |
| 2023 | Enhancing Federated Learning Robustness Using Data-Agnostic Model Pruning. | Mark Huasong Meng, Sin G. Teo, Guangdong Bai, Kailong Wang, Jin Song Dong |
| 2023 | Fairness for Robust Learning to Rank. | Omid Memarrast, Ashkan Rezaei, Rizal Fathony, Brian D. Ziebart |
| 2023 | Data-dependent and Scale-Invariant Kernel for Support Vector Machine Classification. | Vinayaka Vivekananda Malgi, Sunil Aryal, Zafaryab Rasool, David Tay |
| 2023 | Interpretability Meets Generalizability: A Hybrid Machine Learning System to Identify Nonlinear Granger Causality in Global Stock Indices. | Yixiao Lu, Yokiu Lee, Haoran Feng, Johnathan Chi-Ho Leung, Alvin Cheung, Katharina Dost, Katerina Taskova, Thomas Lacombe |
| 2023 | Outlying Aspect Mining via Sum-Product Networks. | Stefan Ldtke, Christian Bartelt, Heiner Stuckenschmidt |
| 2023 | Knowledge-Enhanced Prototypical Network with Structural Semantics for Few-Shot Relation Classification. | Yanhu Li, Taolin Zhang, Dongyang Li, Xiaofeng He |