| 2024 | FenGe-An Interactive Framework for Improving the Utility of Deep Dune Segmentation in Geographical Tasks. | Zheng Jiang, Anqi Lu, Zifeng Wu, Wei Wang, Gaowei Zhang, Eerdun Hasi, Yi Wang |
| 2024 | Translation and Transliteration Based Data Augmentation for Multilingual Semantic Parsing. | Sarthak Jauhari, Massimo Nicosia, Ankush Chatterjee, Rahul Goel |
| 2024 | CBM: Curriculum by Masking. | Andrei Jarca, Florinel-Alin Croitoru, Radu Tudor Ionescu |
| 2024 | On Connected Strongly-Proportional Cake-Cutting. | Zsuzsanna Jank, Attila Jo, Erel Segal-Halevi, Sheung Man Yuen |
| 2024 | Time Series Imputation with Multivariate Radial Basis Function Neural Network. | Chanyoung Jung, Yun Jang |
| 2024 | CoTran: An LLM-Based Code Translator Using Reinforcement Learning with Feedback from Compiler and Symbolic Execution. | Prithwish Jana, Piyush Jha, Haoyang Ju, Gautham Kishore, Aryan Mahajan, Vijay Ganesh |
| 2024 | Machine Learning for Quantifier Selection in cvc5. | Jan Jakubuv, Mikols Janota, Jelle Piepenbrock, Josef Urban |
| 2024 | Safety Verification of Tree-Ensemble Policies via Predicate Abstraction. | Chaahat Jain, Lorenzo Cascioli, Laurens Devos, Marcel Vinzent, Marcel Steinmetz, Jesse Davis, Jrg Hoffmann |
| 2024 | Locally-Minimal Probabilistic Explanations. | Yacine Izza, Kuldeep S. Meel, Joo Marques-Silva |
| 2024 | Planning for Human-Robot Collaboration Scenarios with Heterogeneous Costs and Durations. | Silvia Izquierdo-Badiola, Gerard Canal, Guillem Aleny, Carlos Rizzo, Andrew Coles |
| 2024 | Hierarchical Average-Reward Linearly-Solvable Markov Decision Processes. | Guillermo Infante, Anders Jonsson, Vicen Gmez |
| 2024 | Towards Unsupervised Validation of Anomaly-Detection Models. | Lihi Idan |
| 2024 | Detecting Hidden Triggers: Mapping Non-Markov Reward Functions to Markov. | Gregory Hyde, Eugene Santos Jr. |
| 2024 | Solving PDEs on Point Clouds by Physics-Informed Learning with Graph Neural Networks. | Rakhoon Hwang, Junseung Ryu, Seungtae Park, Hyung Ju Hwang |
| 2024 | SFDFusion: An Efficient Spatial-Frequency Domain Fusion Network for Infrared and Visible Image Fusion. | Kun Hu, Qingle Zhang, Maoxun Yuan, Yitian Zhang |
| 2024 | Improving Aspect-Based Sentiment Analysis via Tuple-Order Learning. | Gongzhen Hu, Yuanjun Liu, Xiabing Zhou, Min Zhang |
| 2024 | Learning A Closed-Loop Bidirectional Scale-Recurrent Network for Image Deraining. | Peizhou Huang, Zixuan Zhong, Pengjie Wang, Xiangyu Wang, Xiang Chen |
| 2024 | Modality-Aware and Shift Mixer for Multi-Modal Brain Tumor Segmentation. | Zhongzhen Huang, Linda Wei, Shaoting Zhang, Xiaofan Zhang |
| 2024 | Coopetition in Heterogeneous Cross-Silo Federated Learning. | Chao Huang, Justin Dachille, Xin Liu |
| 2024 | Progressive Artistic Aesthetic Enhancement For Chinese Ink Painting Style Transfer. | Chihan Huang |
| 2024 | Evolutionary Reinforcement Learning via Cooperative Coevolution. | Chengpeng Hu, Jialin Liu, Xin Yao |
| 2024 | Existence of MMS Allocations of Mixed Manna. | Kevin Hsu |
| 2024 | Distribution of Chores with Information Asymmetry. | Hadi Hosseini, Joshua Kavner, Tomasz Was, Lirong Xia |
| 2024 | The Degree of Fairness in Efficient House Allocation. | Hadi Hosseini, Medha Kumar, Sanjukta Roy |
| 2024 | Advancing ConvNet Architectures: A Novel XGB-based Pruning Algorithm for Transfer Learning Efficiency. | Igor Ratajczyk, Adrian Horzyk |