| 2024 | Computational Complexity of Standpoint LTL. | Stphane Demri, Przemyslaw Andrzej Walega |
| 2024 | ALOE: Boosting Large Language Model Fine-Tuning with Aggressive Loss-Based Elimination of Samples. | Alexander Demidovskij, Aleksei Trutnev, Artyom Tugaryov, Igor Salnikov |
| 2024 | Link Prediction Without Learning. | Simon Delarue, Thomas Bonald, Tiphaine Viard |
| 2024 | CA-SER: Cross-Attention Feature Fusion for Speech Emotion Recognition. | Bashar M. Deeb, Andrey V. Savchenko, Ilya Makarov |
| 2024 | Domain-Specific Long Text Classification from Sparse Relevant Information. | Clia D'Cruz, Jean-Marc Bereder, Frdric Precioso, Michel Riveill |
| 2024 | Tailored-LLaMA: Optimizing Few-Shot Learning in Pruned LLaMA Models with Task-Specific Prompts. | Steven Davy, Danyal Aftab |
| 2024 | PEACE: Providing Explanations and Analysis for Combating Hate Expressions. | Greta Damo, Nicols Benjamn Ocampo, Elena Cabrio, Serena Villata |
| 2024 | No Transaction Fees? No Problem! Achieving Fairness in Transaction Fee Mechanism Design. | Sankarshan Damle, Varul Srivastava, Sujit Gujar |
| 2024 | EEG-Based fMRI Digital Twin: Towards a Cheap and Ecological Approach to Measure Subcortical Brain Activity. | Nikolay Dagaev, Ilia Semenkov, Alexei Ossadtchi |
| 2024 | Representation Matters for Mastering Chess: Improved Feature Representation in AlphaZero Outperforms Switching to Transformers. | Johannes Czech, Jannis Blml, Kristian Kersting, Hedinn Steingrimsson |
| 2024 | Parameter Estimation of Long Memory Stochastic Processes with Deep Neural Networks. | Blint Csandy, Lrnt Nagy, Dniel Boros, Ivn Ivkovic, Dvid Kovcs, Dalma Tth-Lakits, Zsolt Lszl Mrkus, Andrs Lukcs |
| 2024 | Learning Logic Programs by Finding Minimal Unsatisfiable Subprograms. | Andrew Cropper, Cline Hocquette |
| 2024 | SUBER: An RL Environment with Simulated Human Behavior for Recommender Systems. | Nathan Corecco, Giorgio Piatti, Luca A. Lanzendrfer, Flint Xiaofeng Fan, Roger Wattenhofer |
| 2024 | PUFFLE: Balancing Privacy, Utility, and Fairness in Federated Learning. | Luca Corbucci, Mikko A. Heikkil, David Solans Noguero, Anna Monreale, Nicolas Kourtellis |
| 2024 | Harnessing Orthogonality to Train Low-Rank Neural Networks. | Daniel Coquelin, Katharina Flgel, Marie Weiel, Nicholas Kiefer, Charlotte Debus, Achim Streit, Markus Gtz |
| 2024 | Channel Randomisation Methods for Zero-Shot Communication. | Dylan Cope, Nandi Schoots |
| 2024 | Abductive and Contrastive Explanations for Scoring Rules in Voting. | Clment Contet, Umberto Grandi, Jrme Mengin |
| 2024 | Frisbees and Dogs: Domain Adaptation for Object Detection with Limited Labels in Rugby Data. | Will Connors, Ellen Rushe, Anthony Ventresque |
| 2024 | Complexity Results and Algorithms for Manipulation and Bribery in Judgment Aggregation. | Ari Conati, Andreas Niskanen, Ronald de Haan, Matti Jrvisalo |
| 2024 | FairUS - UpSampling Optimized Method for Boosting Fairness. | Nurit Cohen-Inger, Guy Rozenblatt, Seffi Cohen, Lior Rokach, Bracha Shapira |
| 2024 | IFH: A Diffusion Framework for Flexible Design of Graph Generative Models. | Samuel Cognolato, Alessandro Sperduti, Luciano Serafini |
| 2024 | Learning Confidence Bounds for Classification with Imbalanced Data. | Matthew Clifford, Jonathan Erskine, Alexander Hepburn, Ral Santos-Rodrguez, Dario Garca-Garca |
| 2024 | The Distributional Uncertainty of the SHAP Score in Explainable Machine Learning. | Santiago Cifuentes, Leopoldo E. Bertossi, Nina Pardal, Sergio Abriola, Maria Vanina Martinez, Miguel Romero |
| 2024 | Pessimistic Off-Policy Optimization for Learning to Rank. | Matej Cief, Branislav Kveton, Michal Kompan |
| 2024 | Cube-Based Isomorph-Free Finite Model Finding. | Choiwah Chow, Mikols Janota, Joo Arajo |