| 2024 | FedReMa: Improving Personalized Federated Learning via Leveraging the Most Relevant Clients. | Han Liang, Ziwei Zhan, Weijie Liu, Xiaoxi Zhang, Chee Wei Tan, Xu Chen |
| 2024 | Fully Hyperbolic Rotation for Knowledge Graph Embedding. | Qiuyu Liang, Weihua Wang, Feilong Bao, Guanglai Gao |
| 2024 | Talos: A More Effective and Efficient Adversarial Defense for GNN Models Based on the Global Homophily of Graphs. | Duanyu Li, Huijun Wu, Min Xie, Xugang Wu, Zhenwei Wu, Wenzhe Zhang |
| 2024 | AI Personalized Interactive Fiction for Young Children. | Jasmine Lesner, Luke Murayama, Tony Guizar, Poom Phunjamaneechot, Daniel Shapiro |
| 2024 | A Demonstration of AI Personalized Interactive Fiction for Young Children. | Jasmine Lesner, Luke Murayama, Tony Guizar, Poom Phunjamaneechot, Daniel Shapiro |
| 2024 | A Robust and Scalable Approach to Meet User Preferences in Research Project Planning. | Roger Xavier Lera-Leri, Filippo Bistaffa |
| 2024 | Learning Interpretable Classifiers for PDDL Planning. | Arnaud Lequen |
| 2024 | ANSPRE: Improving Question-Answering in Large Language Models with Answer-Prefix Generation. | Nguyen-Khang Le, Dieu-Hien Nguyen, Le Minh Nguyen |
| 2024 | Model Priming with Triplet Loss for Few-Shot Emotion Classification in Text. | Jens Lemmens, Walter Daelemans |
| 2024 | Explaining Text Classifiers with Counterfactual Representations. | Pirmin Lemberger, Antoine Saillenfest |
| 2024 | SAT-Based Approaches to Reasoning in Choice Logics. | Tuomo Lehtonen, Andreas Niskanen, Matti Jrvisalo |
| 2024 | Multi-Agent Path Finding with Real Robot Dynamics and Interdependent Tasks for Automated Warehouses. | Vassilissa Lehoux-Lebacque, Tomi Silander, Christelle Loiodice, Seungjoon Lee, Albert Wang, Sofia Michel |
| 2024 | Interactive Example-Based Explanations to Improve Health Professionals' Onboarding with AI for Human-AI Collaborative Decision Making. | Min Hun Lee, Renee Bao Xuan Ng, Silvana Xin Yi Choo, Shamala D/O Thilarajah |
| 2024 | Robust Monocular Depth Estimation in Adverse Weather Conditions by Unsupervised Domain Adaptation. | Jihui Lee, Quoc-Vinh Lai-Dang, Neha Sengar, Dongsoo Har |
| 2024 | Perturb-and-Compare Approach for Detecting Out-of-Distribution Samples in Constrained Access Environments. | Heeyoung Lee, Hoyoon Byun, Changdae Oh, JinYeong Bak, Kyungwoo Song |
| 2024 | Physics-Assisted Explainable Anomaly Detection in Power Systems. | Matthew Lau, Fahad Alsaeed, Kayla Thames, Nano Suresettakul, Saman A. Zonouz, Wenke Lee, Athanasios P. Meliopoulos |
| 2024 | Open-Set Multivariate Time-Series Anomaly Detection. | Thomas Lai, Thi Kieu Khanh Ho, Narges Armanfard |
| 2024 | Real-Time Indoor Object Detection Based on Hybrid CNN-Transformer Approach. | Salah-eddine Laidoudi, Madjid Maidi, Samir Otmane |
| 2024 | Equipment Condition-Integrated Predictive Modeling for Optimized Scheduling of Ion Implantation in Semiconductor Manufacturing. | Andreas Laber, Martin Gebser, Konstantin Schekotihin |
| 2024 | STV+FLY: On-the-Fly Model Checking of Strategic Ability in Multi-Agent Systems. | Damian Kurpiewski, Mateusz Kaminski, Wojciech Jamroga |
| 2024 | Discovering Bayesian Networks when Few Variables Matter. | Madhumita Kundu, Pekka Parviainen, Saket Saurabh |
| 2024 | Graph Classification with GNNs: Optimisation, Representation & Inductive Bias. | P. Krishna Kumar, Harish G. Ramaswamy |
| 2024 | Theoretical Proportion Label Perturbation for Learning from Label Proportions in Large Bags. | Shunsuke Kubo, Shinnosuke Matsuo, Daiki Suehiro, Kazuhiro Terada, Hiroaki Ito, Akihiko Yoshizawa, Ryoma Bise |
| 2024 | Belief Erasure in Propositional Logic. | Nadia Creignou, Rada Ktari, Odile Papini |
| 2024 | Label Attention Network for Temporal Sets Prediction: You Were Looking at a Wrong Self-Attention. | Elizaveta Kovtun, Galina Boeva, Andrey Shulga, Alexey Zaytsev |