| 2023 | Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation. | Zhiqiang Shen, Peng Cao, Hua Yang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaane |
| 2023 | On Building a Semi-Automated Framework for Generating Causal Bayesian Networks from Raw Text. | Solat J. Sheikh |
| 2023 | Interpretable Local Concept-based Explanation with Human Feedback to Predict All-cause Mortality (Extended Abstract). | Radwa El Shawi, Mouaz H. Al-Mallah |
| 2023 | Optimal Decision Trees For Interpretable Clustering with Constraints. | Pouya Shati, Eldan Cohen, Sheila A. McIlraith |
| 2023 | Learning Prototype Classifiers for Long-Tailed Recognition. | Saurabh Sharma, Yongqin Xian, Ning Yu, Ambuj K. Singh |
| 2023 | Sample Efficient Model-free Reinforcement Learning from LTL Specifications with Optimality Guarantees. | Daqian Shao, Marta Kwiatkowska |
| 2023 | Teaching What You Should Teach: A Data-Based Distillation Method. | Shitong Shao, Huanran Chen, Zhen Huang, Linrui Gong, Shuai Wang, Xinxiao Wu |
| 2023 | LingGe: An Automatic Ancient Chinese Poem-to-Song Generation System. | Yong Shan, Jinchao Zhang, Huiying Ren, Yao Qiu, Jie Zhou |
| 2023 | ViT-P3DE∗: Vision Transformer Based Multi-Camera Instance Association with Pseudo 3D Position Embeddings. | Minseok Seo, Hyuk-Jae Lee, Xuan Truong Nguyen |
| 2023 | Formal Explanations of Neural Network Policies for Planning. | Renee Selvey, Alban Grastien, Sylvie Thibaux |
| 2023 | Computing Twin-width with SAT and Branch & Bound. | Andr Schidler, Stefan Szeider |
| 2023 | A Survey of Methods for Automated Algorithm Configuration (Extended Abstract). | Elias Schede, Jasmin Brandt, Alexander Tornede, Marcel Wever, Viktor Bengs, Eyke Hllermeier, Kevin Tierney |
| 2023 | AI Planning for Hybrid Systems. | Enrico Scala |
| 2023 | Function Approximation for Reinforcement Learning Controller for Energy from Spread Waves. | Soumyendu Sarkar, Vineet Gundecha, Sahand Ghorbanpour, Alexander Shmakov, Ashwin Ramesh Babu, Avisek Naug, Alexandre Pichard, Mathieu Cocho |
| 2023 | Cross-community Adapter Learning (CAL) to Understand the Evolving Meanings of Norm Violation. | Thiago Freitas dos Santos, Stephen Cranefield, Bastin Tony Roy Savarimuthu, Nardine Osman, Marco Schorlemmer |
| 2023 | Heuristic-Search Approaches for the Multi-Objective Shortest-Path Problem: Progress and Research Opportunities. | Oren Salzman, Ariel Felner, Carlos Hernndez, Han Zhang, Shao-Hung Chan, Sven Koenig |
| 2023 | Algorithmic Motion Planning Meets Minimially-Invasive Robotic Surgery. | Oren Salzman |
| 2023 | Finding an ϵ-Close Minimal Variation of Parameters in Bayesian Networks. | Bahare Salmani, Joost-Pieter Katoen |
| 2023 | Translating Images into Maps (Extended Abstract). | Avishkar Saha, Oscar Mendez, Chris Russell, Richard Bowden |
| 2023 | Learning to Speak from Text: Zero-Shot Multilingual Text-to-Speech with Unsupervised Text Pretraining. | Takaaki Saeki, Soumi Maiti, Xinjian Li, Shinji Watanabe, Shinnosuke Takamichi, Hiroshi Saruwatari |
| 2023 | Q-Learning-Based Model Predictive Variable Impedance Control for Physical Human-Robot Collaboration (Extended Abstract). | Loris Roveda, Andrea Testa, Asad Ali Shahid, Francesco Braghin, Dario Piga |
| 2023 | Cognitively Inspired Learning of Incremental Drifting Concepts. | Mohammad Rostami, Aram Galstyan |
| 2023 | Some Might Say All You Need Is Sum. | Eran Rosenbluth, Jan Tnshoff, Martin Grohe |
| 2023 | Distributional Multi-Objective Decision Making. | Willem Rpke, Conor F. Hayes, Patrick Mannion, Enda Howley, Ann Now, Diederik M. Roijers |
| 2023 | Memory-Limited Model-Based Diagnosis (Extended Abstract). | Patrick Rodler |