| 2023 | User-Controllable Recommendation via Counterfactual Retrospective and Prospective Explanations. | Juntao Tan, Yingqiang Ge, Yan Zhu, Yinglong Xia, Jiebo Luo, Jianchao Ji, Yongfeng Zhang |
| 2023 | High Dynamic Range Image Reconstruction via Deep Explicit Polynomial Curve Estimation. | Jiaqi Tang, Xiaogang Xu, Sixing Hu, Ying-Cong Chen |
| 2023 | Improved Analysis of Greedy Algorithm on k-Submodular Knapsack. | Zhongzheng Tang, Chenhao Wang |
| 2023 | Intractability of Optimal Multi-Agent Pathfinding on Directed Graphs. | Xing Tan, Pascal Bercher |
| 2023 | FedCoop: Cooperative Federated Learning for Noisy Labels. | Kahou Tam, Li Li, Yan Zhao, Chengzhong Xu |
| 2023 | Unsupervised Zero-Shot Learning for Achieve Cross-Modal Alignment with Counterfactuals. | Jinyang Tai, Yike Guo |
| 2023 | Anytime Index-Based Search Method for Large-Scale Simultaneous Coalition Structure Generation and Assignment. | Redha Taguelmimt, Samir Aknine, Djamila Boukredera, Narayan Changder |
| 2023 | BridgeHand2Vec Bridge Hand Representation. | Anna Sztyber-Betley, Filip Kolodziej, Piotr Duszak |
| 2023 | Improving Understandability of Explanations with a Usage of Expert Knowledge. | Maciej Szelazek, Szymon Bobek, Grzegorz J. Nalepa |
| 2023 | SPAT: Semantic-Preserving Adversarial Transformation for Perceptually Similar Adversarial Examples. | Subrat Kumar Swain, Vireshwar Kumar, Dan Dongseong Kim, Guangdong Bai |
| 2023 | GridFormer: Spatial-Temporal Transformer Network for Citywide Crowd Flow Prediction. | Chaoqun Su, Chenwang Wu, Defu Lian |
| 2023 | Tuning in to Neural Encoding: Linking Human Brain and Artificial Supervised Representations of Language. | Jingyuan Sun, Xiaohan Zhang, Marie-Francine Moens |
| 2023 | Decoding Realistic Images from Brain Activity with Contrastive Self-Supervision and Latent Diffusion. | Jingyuan Sun, Mingxiao Li, Marie-Francine Moens |
| 2023 | On the Price of Fairness in the Connected Discrete Cake Cutting Problem. | Ankang Sun, Bo Li |
| 2023 | Online Evaluation of Tail Project Boosting in Citizen Science. | Amit Sultan, Avi Segal, Guy Shani, Darlene Cavalier, Kobi Gal |
| 2023 | Adaptive Self-Supervision Algorithms for Physics-Informed Neural Networks. | Shashank Subramanian, Robert M. Kirby, Michael W. Mahoney, Amir Gholami |
| 2023 | Unit Refutations of Difference Constraint Systems. | K. Subramani, Piotr Wojciechowski |
| 2023 | ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging. | Lukasz Struski, Dawid Rymarczyk, Arkadiusz Lewicki, Robert Sabiniewicz, Jacek Tabor, Bartosz Zielinski |
| 2023 | Motivated Agent with Semantic Memory. | Janusz A. Starzyk, Marcin Kowalik, Adrian Horzyk |
| 2023 | Lifted Successor Generation by Maximum Clique Enumeration. | Simon Sthlberg |
| 2023 | Graduality in Probabilistic Argumentation Frameworks. | Jeroen Paul Spaans, Dragan Doder |
| 2023 | Minimum Target Sets in Non-Progressive Threshold Models: When Timing Matters. | Hossein Soltani, Ahad N. Zehmakan, Ataabak B. Hushmandi |
| 2023 | Progression for Monitoring in Temporal ASP. | Davide Sold, Ignacio D. Lopez-Miguel, Ezio Bartocci, Thomas Eiter |
| 2023 | Bayesian CAIPI: A Probabilistic Approach to Explanatory and Interactive Machine Learning. | Emanuel Slany, Stephan Scheele, Ute Schmid |
| 2023 | Evaluation of Human-Understandability of Global Model Explanations Using Decision Tree. | Adarsa Sivaprasad, Ehud Reiter, Nava Tintarev, Nir Oren |