| 2024 | Empirical Evaluation of Concept Probing for Game-Playing Agents. | Aalsteinn Plsson, Yngvi Bjrnsson |
| 2024 | Optimizing Multi-Robot Task Allocation in Dynamic Environments via Heuristic-Guided Reinforcement Learning. | Aritra Pal, Anandsingh Chauhan, Mayank Baranwal, Ankush Ojha |
| 2024 | A Comprehensive Sustainable Framework for Machine Learning and Artificial Intelligence. | Roberto Pagliari, Peter Hill, Po-Yu Chen, Maciej Dabrowny, Tingsheng Tan, Francois Buet-Golfouse |
| 2024 | Actively Learning from Machine Learning Models with Queries and Counterexamples (Extended Abstract). | Ana Ozaki |
| 2024 | Dirichlet Logistic Gaussian Processes for Evaluation of Black-Box Stochastic Systems under Complex Requirements. | Ryohei Oura, Yuji Ito |
| 2024 | Deep Mapper: Efficient Visualization of Plausible Conformational Pathways. | Ziyad Oulhaj, Yoshiyuki Ishii, Kento Ohga, Kimihiro Yamazaki, Mutsuyo Wada, Yuhei Umeda, Takashi Katoh, Yuichiro Wada, Hiroaki Kurihara |
| 2024 | Navigating Trade-offs: Policy Summarization for Multi-Objective Reinforcement Learning. | Zuzanna Osika, Jazmin Zatarain Salazar, Frans A. Oliehoek, Pradeep K. Murukannaiah |
| 2024 | Text-Based Geolocation with a Byte-Level Language Model. | Mikhail Orzhenovskii, Alina Pak, Roman Kane, Arina Razmyslovich |
| 2024 | Learning in Multi-Objective Public Goods Games with Non-Linear Utilities. | Nicole Orzan, Erman Acar, Davide Grossi, Patrick Mannion, Roxana Radulescu |
| 2024 | A Heuristic for Optimal Total-Order HTN Planning Based on Integer Linear Programming. | Conny Olz, Alexander Lodemann, Pascal Bercher |
| 2024 | NeSIG: A Neuro-Symbolic Method for Learning to Generate Planning Problems. | Carlos Nez-Molina, Pablo Mesejo, Juan Fernndez-Olivares |
| 2024 | Explaining a Probabilistic Prediction on the Simplex with Shapley Compositions. | Paul-Gauthier No, Miquel Perell-Nieto, Jean-Franois Bonastre, Peter A. Flach |
| 2024 | Graph Continual Learning with Debiased Lossless Memory Replay. | Chaoxi Niu, Guansong Pang, Ling Chen |
| 2024 | Approximate Estimation of High-Dimension Execution Skill for Dynamic Agents in Continuous Domains. | Delma Nieves-Rivera, Christopher Archibald |
| 2024 | RTSR: A Real-Time Table Structure Recognition Approach. | Nam Quan Nguyen, Xuan Phong Pham, Tuan Anh Tran |
| 2024 | United We Stand: Decentralized Multi-Agent Planning with Attrition. | Nhat Nguyen, Duong Nguyen, Gianluca Rizzo, Hung Nguyen |
| 2024 | Zero-Shot Relabeling of Weak Labels for Fine-Grained Semantic Indexing of Biomedical Literature. | Anastasios Nentidis, Anastasia Krithara, Grigorios Tsoumakas, Georgios Paliouras |
| 2024 | IndMask: Inductive Explanation for Multivariate Time Series Black-Box Models. | Seham Nasr, Sandipan Sikdar |
| 2024 | Hyperbolic Contrastive Learning for Document Representations - A Multi-View Approach with Paragraph-level Similarities. | JaeEun Nam, Ilias Chalkidis, Mina Rezaei |
| 2024 | Synthesis of Reward Machines for Multi-Agent Equilibrium Design. | Muhammad Najib, Giuseppe Perelli |
| 2024 | On Explaining with Attention Matrices. | Omar Naim, Nicholas Asher |
| 2024 | Model Provenance via Model DNA. | Xin Mu, Yu Wang, Yehong Zhang, Jiaqi Zhang, Hui Wang, Yang Xiang, Yue Yu |
| 2024 | InsideOut: Unifying Emotional LLMs to Foster Empathy. | Mikhail Mozikov, Nikita Severin, Maria Glushanina, Mikhail Baklashkin, Andrey V. Savchenko, Ilya Makarov |
| 2024 | Do We Care About Poll Manipulation in Political Elections? | Vincent Mousseau, Henri Surugue, Analle Wilczynski |
| 2024 | Language Task Difficulty Prediction Through LLM-Annotated Meta-Features. | Yael Moros-Daval, Fernando Martnez-Plumed, Jos Hernndez-Orallo |