| 2023 | Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems. | Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda |
| 2023 | Enabling Health Data Sharing with Fine-Grained Privacy. | Luca Bonomi, Sepand Gousheh, Liyue Fan |
| 2023 | Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer. | Wendong Bi, Xueqi Cheng, Bingbing Xu, Xiaoqian Sun, Easton Li Xu, Huawei Shen |
| 2023 | CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task Learning. | Qingtian Bian, Jiaxing Xu, Hui Fang, Yiping Ke |
| 2023 | Multi-modal Mixture of Experts Represetation Learning for Sequential Recommendation. | Shuqing Bian, Xingyu Pan, Wayne Xin Zhao, Jinpeng Wang, Chuyuan Wang, Ji-Rong Wen |
| 2023 | RT2S: A Framework for Learning with Noisy Labels. | Indranil Bhattacharya, Ze Ye, Kaushik Pavani, Sunny Dasgupta |
| 2023 | Data and Decision Fusion with Uncertainty Quantification for ML-based Healthcare Decision Systems. | Grigor Bezirganyan |
| 2023 | Relevance-based Infilling for Natural Language Counterfactuals. | Lorenzo Betti, Carlo Abrate, Francesco Bonchi, Andreas Kaltenbrunner |
| 2023 | Faster Approximation Algorithms for Parameterized Graph Clustering and Edge Labeling. | Vedangi Bengali, Nate Veldt |
| 2023 | GraphERT- Transformers-based Temporal Dynamic Graph Embedding. | Moran Beladev, Gilad Katz, Lior Rokach, Uriel Singer, Kira Radinsky |
| 2023 | Non-Recursive Cluster-Scale Graph Interacted Model for Click-Through Rate Prediction. | Yuanchen Bei, Hao Chen, Shengyuan Chen, Xiao Huang, Sheng Zhou, Feiran Huang |
| 2023 | Deep Integrated Explanations. | Oren Barkan, Yehonatan Elisha, Jonathan Weill, Yuval Asher, Amit Eshel, Noam Koenigstein |
| 2023 | MPMRC-MNER: A Unified MRC framework for Multimodal Named Entity Recognition based Multimodal Prompt. | Xigang Bao, Mengyuan Tian, Zhiyuan Zha, Biao Qin |
| 2023 | Tutorial on User Simulation for Evaluating Information Access Systems. | Krisztian Balog, ChengXiang Zhai |
| 2023 | Comparative Analysis of Open Source and Commercial Embedding Models for Question Answering. | Georgios Balikas |
| 2023 | Regression Compatible Listwise Objectives for Calibrated Ranking with Binary Relevance. | Aijun Bai, Rolf Jagerman, Zhen Qin, Le Yan, Pratyush Kar, Bing-Rong Lin, Xuanhui Wang, Michael Bendersky, Marc Najork |
| 2023 | A Comparative Study of Reference Reliability in Multiple Language Editions of Wikipedia. | Aitolkyn Baigutanova, Diego Sez-Trumper, Miriam Redi, Meeyoung Cha, Pablo Aragn |
| 2023 | GripRank: Bridging the Gap between Retrieval and Generation via the Generative Knowledge Improved Passage Ranking. | Jiaqi Bai, Hongcheng Guo, Jiaheng Liu, Jian Yang, Xinnian Liang, Zhao Yan, Zhoujun Li |
| 2023 | Logarithmic Dimension Reduction for Quantum Neural Networks. | Hankyul Baek, Soohyun Park, Joongheon Kim |
| 2023 | Accelerating Concept Learning via Sampling. | Alkid Baci, Stefan Heindorf |
| 2023 | Towards Improving Accuracy and Computation Cost Optimization of Recommendation Systems. | Abdelghani Azri |
| 2023 | MODIMO: Workshop on Multi-Omics Data Integration for Modelling Biological Systems. | Simone Avesani, Vincenzo Bonnici, Simone Pernice, Marco Beccuti, Rosalba Giugno |
| 2023 | A Test Collection of Synthetic Documents for Training Rankers: ChatGPT vs. Human Experts. | Arian Askari, Mohammad Aliannejadi, Evangelos Kanoulas, Suzan Verberne |
| 2023 | CLosER: Conversational Legal Longformer with Expertise-Aware Passage Response Ranker for Long Contexts. | Arian Askari, Mohammad Aliannejadi, Amin Abolghasemi, Evangelos Kanoulas, Suzan Verberne |
| 2023 | HOVER: Homophilic Oversampling via Edge Removal for Class-Imbalanced Bot Detection on Graphs. | Bradley Ashmore, Lingwei Chen |