| 2024 | Few-Shot Object Detection with Instance Feature Generation and Hybrid Contrastive Learning. | Yuhui Wang, Bo Peng, Tianyi Qin, Jiahui Song, Xu Zhang |
| 2024 | Iteratively Calibrating Prompts for Unsupervised Diverse Opinion Summarization. | Jian Wang, Yuqing Sun, Yanjie Liang, Xin Li, Bin Gong |
| 2024 | Group Fairness with Individual and Censorship Constraints. | Zichong Wang, Wenbin Zhang |
| 2024 | Approximate Mechanism Design for Facility Location with Multiple Objectives. | Toby Walsh |
| 2024 | Memory Adaptive and Spatially Specialized Model Ensembles for Industrial Anomaly Detection. | Marco Wagenstetter, Niklas Landerer, Johannes Thyroff, Thomas Aicher, Arvid Hellmich, Steffen Ihlenfeldt |
| 2024 | Fairness Auditing with Multi-Agent Collaboration. | Martijn de Vos, Akash Balasaheb Dhasade, Jade Garcia Bourre, Anne-Marie Kermarrec, Erwan Le Merrer, Benot Rottembourg, Gilles Trdan |
| 2024 | Instruction Following with Goal-Conditioned Reinforcement Learning in Virtual Environments. | Zoya Volovikova, Alexey Skrynnik, Petr Kuderov, Aleksandr I. Panov |
| 2024 | EXPLAIN, AGREE, LEARN: Scaling Learning for Neural Probabilistic Logic. | Victor Verreet, Lennert De Smet, Luc De Raedt, Emanuele Sansone |
| 2024 | Limited Voting for Better Representation? | Maaike Venema-Los, Zo Christoff, Davide Grossi |
| 2024 | Leveraging User-Generated Reviews for Recommender Systems with Dynamic Headers. | Shanu Vashishtha, Abhay Kumar, Lalitesh Morishetti, Kaushiki Nag, Kannan Achan |
| 2024 | Maximally Permissive Reward Machines. | Giovanni Varricchione, Natasha Alechina, Mehdi Dastani, Brian Logan |
| 2024 | Prompt-Based Data Augmentation Using Contrastive Learning Under Scarcity of Annotated Data. | Muhammad Uzair-Ul-Haq, Davide Rigoni, Alessandro Sperduti |
| 2024 | NeurCAM: Interpretable Neural Clustering via Additive Models. | Nakul Upadhya, Eldan Cohen |
| 2024 | DeepDFA: Automata Learning through Neural Probabilistic Relaxations. | Elena Umili, Roberto Capobianco |
| 2024 | Neural Reward Machines. | Elena Umili, Francesco Argenziano, Roberto Capobianco |
| 2024 | TopFormer: Topology-Aware Authorship Attribution of Deepfake Texts with Diverse Writing Styles. | Adaku Uchendu, Thai Le, Dongwon Lee |
| 2024 | Value-Based Rationales Improve Social Experience: A Multiagent Simulation Study. | Sz-Ting Tzeng, Nirav Ajmeri, Munindar P. Singh |
| 2024 | Good Things Come to Those Who Wait: The Power of Sensing in Social Laws. | Alexander Tuisov, Alexander Shleyfman, Erez Karpas |
| 2024 | Zero-Waste Machine Learning. | Tomasz Trzcinski, Bartlomiej Twardowski, Bartosz Zielinski, Kamil Adamczewski, Bartosz Wjcik |
| 2024 | UCCIX: Irish-eXcellence Large Language Model. | Khanh-Tung Tran, Barry O'Sullivan, Hoang D. Nguyen |
| 2024 | Explaining an Agent's Future Beliefs Through Temporally Decomposing Future Reward Estimators. | Mark Towers, Yali Du, Christopher T. Freeman, Timothy J. Norman |
| 2024 | A More Practical Algorithm for Weighted First-Order Model Counting with Linear Order Axiom. | Qiaolan Meng, Jan Tth, Yuanhong Wang, Yuyi Wang, Ondrej Kuzelka |
| 2024 | A Meta-Engine Framework for Interleaved Task and Motion Planning using Topological Refinements. | Elisa Tosello, Alessandro Valentini, Andrea Micheli |
| 2024 | Temporal Fairness in Decision Making Problems. | Manuel R. Torres, Parisa Zehtabi, Michael Cashmore, Daniele Magazzeni, Manuela Veloso |
| 2024 | Bridging Continual Learning of Motion and Self-Supervised Representations. | Matteo Tiezzi, Simone Marullo, Alessandro Betti, Michele Casoni, Stefano Melacci |