| 2024 | ParsNets: A Parsimonious Composition of Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning. | Jingcai Guo, Qihua Zhou, Xiaocheng Lu, Ruibin Li, Ziming Liu, Jie Zhang, Bo Han, Junyang Chen, Xin Xie, Song Guo |
| 2024 | Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection. | Xianjie Guo, Kui Yu, Hao Wang, Lizhen Cui, Han Yu, Xiaoxiao Li |
| 2024 | P2P: Transforming from Point Supervision to Explicit Visual Prompt for Object Detection and Segmentation. | Guangqian Guo, Dian Shao, Chenguang Zhu, Sha Meng, Xuan Wang, Shan Gao |
| 2024 | A Survey on Neural Question Generation: Methods, Applications, and Prospects. | Shasha Guo, Lizi Liao, Cuiping Li, Tat-Seng Chua |
| 2024 | Large Language Model Based Multi-agents: A Survey of Progress and Challenges. | Taicheng Guo, Xiuying Chen, Yaqi Wang, Ruidi Chang, Shichao Pei, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang |
| 2024 | Recurrent Concept Drifts on Data Streams. | Nuwan Gunasekara, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet, Yun Sing Koh |
| 2024 | Feedback-Based Adaptive Crossover-Rate in Evolutionary Computation. | Xiaoyuan Guan, Tianyi Yang, Chunliang Zhao, Yuren Zhou |
| 2024 | Temporal Graph ODEs for Irregularly-Sampled Time Series. | Alessio Gravina, Daniele Zambon, Davide Bacciu, Cesare Alippi |
| 2024 | Remote Sensing for Water Quality: A Multi-Task, Metadata-Driven Hypernetwork Approach. | Olivier Graffeuille, Yun Sing Koh, Jrg Wicker, Moritz K. Lehmann |
| 2024 | Enhancing Cross-modal Completion and Alignment for Unsupervised Incomplete Text-to-Image Person Retrieval. | Tiantian Gong, Junsheng Wang, Liyan Zhang |
| 2024 | ADELT: Transpilation between Deep Learning Frameworks. | Linyuan Gong, Jiayi Wang, Alvin Cheung |
| 2024 | A Dataset and Model for Realistic License Plate Deblurring. | Haoyan Gong, Yuzheng Feng, Zhenrong Zhang, Xianxu Hou, Jingxin Liu, Siqi Huang, Hongbin Liu |
| 2024 | Cross-Scale Domain Adaptation with Comprehensive Information for Pansharpening. | Meiqi Gong, Hao Zhang, Hebaixu Wang, Jun Chen, Jun Huang, Xin Tian, Jiayi Ma |
| 2024 | Human-Robot Alignment through Interactivity and Interpretability: Don't Assume a "Spherical Human". | Matthew C. Gombolay |
| 2024 | Plug-and-Play Unsupervised Fault Detection and Diagnosis for Complex Industrial Monitoring. | Maksim Golyadkin, Maria Shtark, Petr Ivanov, Alexander Kozhevnikov, Leonid Zhukov, Ilya Makarov |
| 2024 | SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes (Abstract Reprint). | Maksim Golyadkin, Vitaliy Pozdnyakov, Leonid Zhukov, Ilya Makarov |
| 2024 | Online Combinatorial Optimization with Group Fairness Constraints. | Negin Golrezaei, Rad Niazadeh, Kumar Kshitij Patel, Fransisca Susan |
| 2024 | Getting More by Knowing Less: Bayesian Incentive Compatible Mechanisms for Fair Division. | Vasilis Gkatzelis, Alexandros Psomas, Xizhi Tan, Paritosh Verma |
| 2024 | Learning Conditional Preference Networks: An Approach Based on the Minimum Description Length Principle. | Pierre-Franois Gimenez, Jrme Mengin |
| 2024 | ReBandit: Random Effects Based Online RL Algorithm for Reducing Cannabis Use. | Susobhan Ghosh, Yongyi Guo, Pei-Yao Hung, Lara N. Coughlin, Erin E. Bonar, Inbal Nahum-Shani, Maureen A. Walton, Susan A. Murphy |
| 2024 | Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach. | Mohammed Amine Gharsallaoui, Bhupinderjeet Singh, Supriya Savalkar, Aryan Deshwal, Ananth Kalyanaraman, Kirti Rajagopalan, Janardhan Rao Doppa |
| 2024 | Causal Graph Modeling with Deep Neural Engines for Strong Abstract Reasoning in Language and Vision. | Gal Gendron |
| 2024 | Large Language Models Are Not Strong Abstract Reasoners. | Gal Gendron, Qiming Bao, Michael Witbrock, Gillian Dobbie |
| 2024 | Enhancing Manufacturing with AI-powered Process Design. | Gianmarco Genalti, Gabriele Corbo, Tommaso Bianchi, Marco Missaglia, Luca Negri, Andrea Sala, Luca Magri, Giacomo Boracchi, Giovanni Miragliotta, Nicola Gatti |
| 2024 | History Repeats Itself: A Baseline for Temporal Knowledge Graph Forecasting. | Julia Gastinger, Christian Meilicke, Federico Errica, Timo Sztyler, Anett Schlke, Heiner Stuckenschmidt |