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• Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning

  Yassine Chemingui, Aryan Deshwal, Honghao Wei, Alan Fern, Jana Doppa

  15722-15730

  2025-04-11

• Generalized Dimension Reduction Using Semi-Relaxed Gromov-Wasserstein Distance

  Ranthony A. Clark, Tom Needham, Thomas Weighill

  16082-16090

  2025-04-11

• The Surprising Effectiveness of Infinite-Width NTKs for Characterizing and Improving Model Training

  Joshua DeOliveira, Walter Gerych, Elke Rundensteiner

  16262-16270

  2025-04-11

• Active Reinforcement Learning Strategies for Offline Policy Improvement

  Ambedkar Dukkipati, Ranga Shaarad Ayyagari, Bodhisattwa Dasgupta, Parag Dutta, Prabhas Reddy Onteru

  16418-16425

  2025-04-11

• Out-of-Distribution Detection with Prototypical Outlier Proxy

  Mingrong Gong, Chaoqi Chen, Qingqiang Sun, Yue Wang, Hui Huang

  16835-16843

  2025-04-11

• Capture Global Feature Statistics for One-Shot Federated Learning

  Zenghao Guan, Yucan Zhou, Xiaoyan Gu

  16942-16950

  2025-04-11

• Exploring Vacant Classes in Label-Skewed Federated Learning

  Kuangpu Guo, Yuhe Ding, Jian Liang, Zilei Wang, Ran He, Tieniu Tan

  16960-16968

  2025-04-11

• Highly Parallelized Reinforcement Learning Training with Relaxed Assignment Dependencies

  Zhouyu He, Peng Qiao, Rongchun Li, Yong Dou, Yusong Tan

  17159-17167

  2025-04-11

• Bi-Level Optimization for Semi-Supervised Learning with Pseudo-Labeling

  Marzi Heidari, Yuhong Guo

  17168-17176

  2025-04-11

• Stability and Generalization of Zeroth-Order Decentralized Stochastic Gradient Descent with Changing Topology

  Xiaolin Hu, Zixuan Gong, Gengze Xu, Wei Liu, Jian Luan, Bin Wang, Yong Liu

  17342-17350

  2025-04-11

• PA3Fed: Period-Aware Adaptive Aggregation for Improved Federated Learning

  Chengxiang Huang, Bingyan Liu

  17395-17403

  2025-04-11

• CUQDS: Conformal Uncertainty Quantification Under Distribution Shift for Trajectory Prediction

  Huiqun Huang, Sihong He, Fei Miao

  17422-17430

  2025-04-11

• TAIL-MIL: Time-Aware and Instance-Learnable Multiple Instance Learning for Multivariate Time Series Anomaly Detection

  Jaeseok Jang, Hyuk-Yoon Kwon

  17582-17589

  2025-04-11

• A Knowledge Distillation-Based Approach to Enhance Transparency of Classifier Models

  Yuchen Jiang, Xinyuan Zhao, Yihang Wu, Ahmad Chaddad

  17653-17661

  2025-04-11

• Efficient Event-Based Semantic Segmentation via Exploiting Frame-Event Fusion: A Hybrid Neural Network Approach

  Hebei Li, Yansong Peng, Jiahui Yuan, Peixi Wu, Jin Wang, Yueyi Zhang, Xiaoyan Sun

  18296-18304

  2025-04-11

• An Efficient and Accurate Dynamic Sparse Training Framework Based on Parameter-Freezing

  Lei Li, Haochen Yang, Jiacheng Guo, Hongkai Yu, Minghai Qin, Tianyun Zhang

  18350-18358

  2025-04-11

• Neural Conformal Control for Time Series Forecasting

  Ruipu Li, Alexander Rodríguez

  18439-18447

  2025-04-11

• TTA-FedDG: Leveraging Test-Time Adaptation to Address Federated Domain Generalization

  Haoyuan Liang, Xinyu Zhang, Shilei Cao, Guowen Li, Juepeng Zheng

  18658-18666

  2025-04-11

• Label Noise Correction via Fuzzy Learning Machine

  Jiye Liang, Yixiao Li, Junbiao Cui

  18676-18683

  2025-04-11

• Vision-aware Multimodal Prompt Tuning for Uploadable Multi-source Few-shot Domain Adaptation

  Kuanghong Liu, Jin Wang, Kangjian He, Dan Xu, Xuejie Zhang

  18897-18905

  2025-04-11

• CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning

  Peiyuan Liu, Hang Guo, Tao Dai, Naiqi Li, Jigang Bao, Xudong Ren, Yong Jiang, Shu-Tao Xia

  18915-18923

  2025-04-11

• GLEN: Generalized Focal Loss Ensemble of Low-Rank Networks for Calibrated Visual Question Answering

  Mahsa Mozaffari, Hitesh Sapkota, Qi Yu

  19563-19571

  2025-04-11

• Evaluating the Evaluator: Measuring LLMs’ Adherence to Task Evaluation Instructions

  Bhuvanashree Murugadoss, Christian Poelitz, Ian Drosos, Vu Le, Nick McKenna, Carina Suzana Negreanu, Chris Parnin, Advait Sarkar

  19589-19597

  2025-04-11

• Times2D: Multi-Period Decomposition and Derivative Mapping for General Time Series Forecasting

  Reza Nematirad, Anil Pahwa, Balasubramaniam Natarajan

  19651-19658

  2025-04-11

• In-depth Analysis of Low-rank Matrix Factorisation in a Federated Setting

  Constantin Philippenko, Kevin Scaman, Laurent Massoulié

  19904-19912

  2025-04-11