| 2023 | Measuring the Effect of Causal Disentanglement on the Adversarial Robustness of Neural Network Models. | Preben M. Ness, Dusica Marijan, Sunanda Bose |
| 2023 | Differential Privacy in HyperNetworks for Personalized Federated Learning. | Vaisnavi Nemala, Phung Lai, NhatHai Phan |
| 2023 | RePair: An Extensible Toolkit to Generate Large-Scale Datasets for Query Refinement via Transformers. | Yogeswar Lakshmi Narayanan, Hossein Fani |
| 2023 | Non-Uniform Adversarial Perturbations for Discrete Tabular Datasets. | Jay Nandy, Jatin Chauhan, Rishi Saket, Aravindan Raghuveer |
| 2023 | STREAMER 3.0: Towards Online Monitoring and Distributed Learning. | Baudouin Naline, Sandra Garcia-Rodriguez, Karine Zeitouni |
| 2023 | Efficient Differencing of System-level Provenance Graphs. | Yuta Nakamura, Iyad Kanj, Tanu Malik |
| 2023 | Joint Link Prediction Via Inference from a Model. | Parmis Naddaf, Erfaneh Mahmoudzaheh Ahmadi Nejad, Kiarash Zahirnia, Manfred Jaeger, Oliver Schulte |
| 2023 | Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking. | Shanlei Mu, Penghui Wei, Wayne Xin Zhao, Shaoguo Liu, Liang Wang, Bo Zheng |
| 2023 | Unlocking the Potential of Non-PSD Kernel Matrices: A Polar Decomposition-based Transformation for Improved Prediction Models. | Maximilian Mnch, Manuel Rder, Frank-Michael Schleif |
| 2023 | A Flash Attention Transformer for Multi-Behaviour Recommendation. | Tendai Mukande, Esraa Ali, Annalina Caputo, Ruihai Dong, Noel E. O'Connor |
| 2023 | ThyExp: An explainable AI-assisted Decision Making Toolkit for Thyroid Nodule Diagnosis based on Ultra-sound Images. | Jamie Morris, Zehao Liu, Huizhi Liang, Sidhartha Nagala, Xia Hong |
| 2023 | Uplift Modeling: From Causal Inference to Personalization. | Felipe Moraes, Hugo Manuel Proena, Anastasiia Kornilova, Javier Albert, Dmitri Goldenberg |
| 2023 | Exploiting Sequential Music Preferences via Optimisation-Based Sequencing. | Dmitrii Moor, Yi Yuan, Rishabh Mehrotra, Zhenwen Dai, Mounia Lalmas |
| 2023 | Retention is All You Need. | Karishma Mohiuddin, Mirza Ariful Alam, Mirza Mohtashim Alam, Pascal Welke, Michael Martin, Jens Lehmann, Sahar Vahdati |
| 2023 | Unified Generative & Dense Retrieval for Query Rewriting in Sponsored Search. | Akash Kumar Mohankumar, Bhargav Dodla, Gururaj K, Amit Singh |
| 2023 | Info-Wild: Knowledge Extraction and Management for Wildlife Conservation. | Prasenjit Mitra, Shreya Ghosh, Bistra Dilkina, Thomas Mller |
| 2023 | SeqGen: A Sequence Generator via User Side Information for Behavior Sparsity in Recommendation. | Xu Min, Xiaolu Zhang, Bin Shen, Shuhan Wang, Yong He, Changsheng Li, Jun Zhou |
| 2023 | Astrolabe: Visual Graph Database Queries with Tabular Output. | Michael Miller |
| 2023 | DebCSE: Rethinking Unsupervised Contrastive Sentence Embedding Learning in the Debiasing Perspective. | Pu Miao, Zeyao Du, Junlin Zhang |
| 2023 | Disparity, Inequality, and Accuracy Tradeoffs in Graph Neural Networks for Node Classification. | Arpit Merchant, Carlos Castillo |
| 2023 | Parallel Knowledge Enhancement based Framework for Multi-behavior Recommendation. | Chang Meng, Chenhao Zhai, Yu Yang, Hengyu Zhang, Xiu Li |
| 2023 | Generative Graph Augmentation for Minority Class in Fraud Detection. | Lin Meng, Hesham Mostafa, Marcel Nassar, Xiaonan Zhang, Jiawei Zhang |
| 2023 | Graph Contrastive Learning with Graph Info-Min. | En Meng, Yong Liu |
| 2023 | System Initiative Prediction for Multi-turn Conversational Information Seeking. | Chuan Meng, Mohammad Aliannejadi, Maarten de Rijke |
| 2023 | BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Search and Recommendation Models on Commodity CPU Hardware. | Nicholas Meisburger, Vihan Lakshman, Benito Geordie, Joshua Engels, David Torres Ramos, Pratik Pranav, Benjamin Coleman, Benjamin Meisburger, Shubh Gupta, Yashwanth Adunukota, Siddharth Jain, Tharun Medini, Anshumali Shrivastava |