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| 2025 | Parameter-Efficient Interventions for Enhanced Model Merging. | Marcin Osial, Daniel Marczak, Bartosz Zielmski |
| 2025 | Meta-learning of Class Knowledge in Zero-shot Learning. | Yuta Nambu, Masahiro Kohjima, Tomoharu Iwata, Ryuji Yamamoto |
| 2025 | Defense Against Shortest Path Attacks. | Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld |
| 2025 | AnchorDrug: A system for drug-induced gene expression prediction in new contexts through active learning. | Han Meng, Ruoqiao Chen, Bin Chen, Jiayu Zhou |
| 2025 | CoT-Decoding: Complex Reasoning via Chain-of-Thought Decoding. | Guoquan Lu, Lin Peng, Li Li |
| 2025 | Unveiling the Impact of Local Homophily on GNN Fairness: In-Depth Analysis and New Benchmarks. | Donald Loveland, Danai Koutra |
| 2025 | Hybrid Bayesian Optimization with DIRECT. | Hongsheng Liu, Dzung T. PhaC |
| 2025 | Feature Deviation Embedding Improves Graph Structure Learning for Spatial Interpolation. | Chaofan Li, Till Riedel, Michael Beigl |
| 2025 | CDSRNP: Cross-Domain Sequential Recommendation via Neural Process. | Haipeng Li, Jiangxia Cao, Yiwen Gao, Yunhuai Liu, Shuchao Pang |
| 2025 | Federated Koopman-Reservoir Learning for Large-Scale Multivariate Time-Series Anomaly Detection. | Long Tan Le, Tung-Anh Nguyen, Han Shu, Suranga Seneviratne, Choong Seon Hong, Nguyen H. Tran |
| 2025 | Blue Sky: Reducing Performance Gap between Commercial and Open-Source LLMs. | Adithya Kulkarni, Mohna Chakraborty |
| 2025 | Blue Sky: Expert-in-the-Loop Representation Learning Framework for Audio Anti-Spoofing: Multimodal, Multilingual, Multi-speaker, Multi-attack (4M) Scenarios. | Zahra Khanjani, Vandana P. Janeja, Christine Mallinson, Sanjay Purushotham |
| 2025 | Acceleration in Low-Rank Tensor Completion. | Yifan Kang, Mengyuan Zhang, Kai Liu |
| 2025 | Automated Learning of Semantic Embedding Representations for Diffusion Models. | Limai Jiang, Yunpeng Cai |
| 2025 | Beyond Models! Explainable Data Valuation and Metric Adaption for Recommendation. | Renqi Jia, Xiaokun Zhang, Bowei He, Qiannan Zhu, Weitao Xu, Jiehao Chen, Chen Ma |
| 2025 | Unanticipated Replenishment: Online Policy for Dynamic Service Composition in Manufacturing Cloud. | Yang Hu, Feng Wu, Xin Li, Yu Yang |
| 2025 | Learning Confident Classifiers in the Presence of Label Noise. | Asma Ahmed Hashmi, Aigerim Zhumabayeva, Nikita Kotelevskii, Artem Agafonov, Mohammad Yaqub, Maxim Panov, Martin Takc |
| 2025 | Inter-Well Active Magnetic Ranging with Temporal and Interaction Network. | Zelong Hao, Haitao Zhang, Yang Che, Wang Liu |
| 2025 | Optimizing External and Internal Knowledge of Foundation Models for Scientific Discovery. | Sikun Guo, Guangzhi Xiong, Aidong Zhang |
| 2025 | Spatially-Delineated Domain-Adapted AI Classification: An Application for Oncology Data. | Majid Farhadloo, Arun Sharma, Alexey A. Leontovich, Svetomir N. Markovic, Shashi Shekhar |
| 2025 | AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation. | MohammadReza EskandariNasab, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi |
| 2025 | DMDHC: Discovery of Multi-Density Hierarchical Cluster Structures. | Walid Durani, Dominik Mautz, Claudia Plant, Christian Bhm |
| 2025 | Evidence-Based Out-of-Distribution Detection on Multi-Label Graphs. | Ruomeng Ding, Xujiang Zhao, Chen Zhao, Minglai Shao, Zhengzhang Chen, Haifeng Chen |
| 2025 | End-To-End Self-Tuning Self-Supervised Time Series Anomaly Detection. | Boje Deforce, Meng-Chieh Lee, Bart Baesens, Estefana Serral Asensio, Jaemin Yoo, Leman Akoglu |