| 2024 | iFakeDetector: Real Time Integrated Web-based Deepfake Detection System. | Kangjun Lee, Inho Jung, Simon S. Woo |
| 2024 | SwiftThief: Enhancing Query Efficiency of Model Stealing by Contrastive Learning. | Jeonghyun Lee, Sungmin Han, Sangkyun Lee |
| 2024 | The Distortion of Threshold Approval Matching. | Mohamad Latifian, Alexandros A. Voudouris |
| 2024 | Bagging is an Optimal PAC Learner (Extended Abstract). | Kasper Green Larsen |
| 2024 | A De-singularity Subgradient Approach for the Extended Weber Location Problem. | Zhao-Rong Lai, Xiaotian Wu, Liangda Fang, Ziliang Chen |
| 2024 | SPARK: Harnessing Human-Centered Workflows with Biomedical Foundation Models for Drug Discovery. | Bum Chul Kwon, Simona Rabinovici-Cohen, Beldine Moturi, Ruth Mwaura, Kezia Wahome, Oliver Njeru, Miguel Shinyenyi, Catherine Wanjiru, Sekou L. Remy, William Ogallo, Itai Guez, Parthasarathy Suryanarayanan, Joseph A. Morrone, Shreyans Sethi, Seung-gu Kang, Tien Huynh, Kenney Ng, Diwakar Mahajan, Hongyang Li, Matan Ninio, Shervin Ayati, Efrat Hexter, Wendy D. Cornell |
| 2024 | Towards a Framework for Learning of Algorithms: The Case of Learned Comparison Sorts. | Philipp Kunz, Ilche Georgievski, Marco Aiello |
| 2024 | Look-ahead Search on Top of Policy Networks in Imperfect Information Games. | Ondrej Kubcek, Neil Burch, Viliam Lis |
| 2024 | Enhancing Policy Gradient Algorithms with Search in Imperfect Information Games. | Ondrej Kubcek |
| 2024 | Equilibria in Two-Stage Facility Location with Atomic Clients. | Simon Krogmann, Pascal Lenzner, Alexander Skopalik, Marc Uetz, Marnix C. Vos |
| 2024 | Two-Sided Facility Location Games. | Simon Krogmann |
| 2024 | Formal Verification of Parameterised Neural-symbolic Multi-agent Systems. | Panagiotis Kouvaros, Elena Botoeva, Cosmo De Bonis-Campbell |
| 2024 | POWL: Partially Ordered Workflow Language (Extended Abstract). | Humam Kourani, Sebastiaan J. van Zelst |
| 2024 | ProMoAI: Process Modeling with Generative AI. | Humam Kourani, Alessandro Berti, Daniel Schuster, Wil M. P. van der Aalst |
| 2024 | ROCES: Robust Class Expression Synthesis in Description Logics via Iterative Sampling. | N'Dah Jean Kouagou, Stefan Heindorf, Caglar Demir, Axel-Cyrille Ngonga Ngomo |
| 2024 | Exploiting Multi-Label Correlation in Label Distribution Learning. | Zhiqiang Kou, Jing Wang, Jiawei Tang, Yuheng Jia, Boyu Shi, Xin Geng |
| 2024 | Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks. | Nikita Kotelevskii, Samuel Horvth, Karthik Nandakumar, Martin Takc, Maxim Panov |
| 2024 | The Role of Perception, Acceptance, and Cognition in the Usefulness of Robot Explanations. | Hana Kopecka, Jose Such, Michael Luck |
| 2024 | Approximate Dec-POMDP Solving Using Multi-Agent A | Wietze Koops, Sebastian Junges, Nils Jansen |
| 2024 | Efficient and Stable Offline-to-online Reinforcement Learning via Continual Policy Revitalization. | Rui Kong, Chenyang Wu, Chen-Xiao Gao, Zongzhang Zhang, Ming Li |
| 2024 | Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms. | Aneesh Komanduri, Yongkai Wu, Feng Chen, Xintao Wu |
| 2024 | Time-Evolving Data Science and Artificial Intelligence for Advanced Open Environmental Science (TAIAO) Programme. | Yun Sing Koh, Albert Bifet, Karin R. Bryan, Guilherme Weigert Cassales, Olivier Graffeuille, Nick Jin Sean Lim, Phil Mourot, Ding Ning, Bernhard Pfahringer, Varvara Vetrova, Heitor Murilo Gomes |
| 2024 | Pareto Inverse Reinforcement Learning for Diverse Expert Policy Generation. | Woo Kyung Kim, Minjong Yoo, Honguk Woo |
| 2024 | Offline Policy Learning via Skill-step Abstraction for Long-horizon Goal-Conditioned Tasks. | Donghoon Kim, Minjong Yoo, Honguk Woo |
| 2024 | LLMem: Estimating GPU Memory Usage for Fine-Tuning Pre-Trained LLMs. | Taeho Kim, Yanming Wang, Vatshank Chaturvedi, Lokesh Gupta, Seyeon Kim, Yongin Kwon, Sangtae Ha |