| 2024 | ReactAIvate: A Deep Learning Approach to Predicting Reaction Mechanisms and Unmasking Reactivity Hotspots. | Ajnabiul Hoque, Manajit Das, Mayank Baranwal, Raghavan B. Sunoj |
| 2024 | Accelerating Machine Learning for Trading Using Programmable Switches. | Xinpeng Hong, Changgang Zheng, Stefan Zohren, Noa Zilberman |
| 2024 | In-Network Machine Learning for Real-Time Transaction Fraud Detection. | Xinpeng Hong, Changgang Zheng, Noa Zilberman |
| 2024 | One-Shot Collaborative Data Distillation. | William Holland, Chandra Thapa, Wei Shao, Seyit Camtepe, Sarah Ali Siddiqui |
| 2024 | Scalable Variational Causal Discovery Unconstrained by Acyclicity. | Nu Hoang, Bao Duong, Thin Nguyen |
| 2024 | Enabling Causal Discovery in Post-Nonlinear Models with Normalizing Flows. | Nu Hoang, Bao Duong, Thin Nguyen |
| 2024 | Defending Our Privacy with Backdoors. | Dominik Hintersdorf, Lukas Struppek, Daniel Neider, Kristian Kersting |
| 2024 | Adjacent Leader Decentralized Stochastic Gradient Descent. | Haoze He, Jing Wang, Anna Choromanska |
| 2024 | A Novel View of Analogical Proportion Between Formulas. | Andreas Herzig, Emiliano Lorini, Henri Prade |
| 2024 | Recurrent Task Specialization Network for Segmentation-aided Vascular Landmarks Detection in Retinal Images. | lvaro S. Hervella, Jos Rouco, Jorge Novo, Clara I. Snchez, Marcos Ortega |
| 2024 | Caveats and Solutions for Characterising General-Purpose AI. | Jos Hernndez-Orallo |
| 2024 | Annot-Mix: Learning with Noisy Class Labels from Multiple Annotators via a Mixup Extension. | Marek Herde, Lukas Lhrs, Denis Huseljic, Bernhard Sick |
| 2024 | What Model Does MuZero Learn? | Jinke He, Thomas M. Moerland, Joery A. de Vries, Frans A. Oliehoek |
| 2024 | Reducing Texture Bias of Deep Neural Networks via Edge Enhancing Diffusion. | Edgar Heinert, Matthias Rottmann, Kira Maag, Karsten Kahl |
| 2024 | A Lazy Approach to Neural Numerical Planning with Control Parameters. | Ren Heesch, Alessandro Cimatti, Jonas Ehrhardt, Alexander Diedrich, Oliver Niggemann |
| 2024 | On the Discovery of Conceptual Clustering Models Through Pattern Mining. | Motaz Ben Hassine, Sad Jabbour, Mourad Kmimech, Badran Raddaoui, Mohamed Graiet |
| 2024 | Learning Reward Structure with Subtasks in Reinforcement Learning. | Shuai Han, Mehdi Dastani, Shihan Wang |
| 2024 | Multi-Agent Reinforcement Learning for Alternating-Time Logic. | Ernst Moritz Hahn, Mateo Perez, Sven Schewe, Fabio Somenzi, Ashutosh Trivedi, Dominik Wojtczak |
| 2024 | Building and Assessing a Named Entity Recognition Resource for Ancient Pharmacopeias. | Karim El Haff, Wissam Antoun, Agns Braud, Florence Le Ber, Vronique Pitchon |
| 2024 | Efficient Initial Data Selection and Labeling for Multi-Class Classification Using Topological Analysis. | Lies Hadjadj, Emilie Devijver, Rmi Molinier, Massih-Reza Amini |
| 2024 | Capacitated Online Clustering Algorithm. | Shivam Gupta, Shweta Jain, Narayanan C. Krishnan, Ganesh Ghalme, Nandyala Hemachandra |
| 2024 | Dynamic Multimodal Prompt Tuning: Boost Few-Shot Learning with VLM-Guided Point Cloud Models. | Xiang Gu, Shuchao Pang, Anan Du, Yifei Wang, Jixiang Miao, Jorge Dez |
| 2024 | Unidirectional Cross-Modal Fusion for RGB-T Tracking. | Xiao Guo, Hangfei Li, Yufei Zha, Peng Zhang |
| 2024 | Synthetically Augmented Self-Supervised Fine-Tuning for Diverse Text OCR Correction. | Shuhao Guan, Derek Greene |
| 2024 | GraphFSA: A Finite State Automaton Framework for Algorithmic Learning on Graphs. | Florian Grtschla, Jol Mathys, Christoffer Raun, Roger Wattenhofer |