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Papers 6,841–6,870 of 6,967

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  1. Bridging Neural Networks and Wireless Systems with MIMO-OFDM Semantic Communications

    Jan 28, 2025Hanju Yoo, Dongha Choi, Yonghwi Kim +4Semantic CommunicationsWireless Networks

  2. Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking

    Dec 30, 2024Sangyun Chung, Youngjoon Yu, Se Yeon Kim +2Large Vision Language ModelsRgb-Depth Cameras

  3. GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction

    Nov 24, 2024Baixin Xu, Jiangbei Hu, Jiaze Li +1High-Fidelity Surface Reconstruction3D Reconstruction

  4. Voxeland: Probabilistic Instance-Aware Semantic Mapping with Evidence-based Uncertainty Quantification

    Nov 13, 2024Jose-Luis Matez-Bandera, Pepe Ojeda, Javier Monroy +2Semantic MappingDense Semantic Segmentation

  5. Action abstractions for amortized sampling

    Oct 19, 2024Oussama Boussif, Léna Néhale Ezzine, Joseph D Viviano +6

  6. TrendFact: A Benchmark Towards Hotspot Perception in Automatic Fact-Checking

    Oct 19, 2024Xiaocheng Zhang, Xi Wang, Yifei Lu +5Fact-CheckingPerceptual Understanding

  7. Streaming Deep Reinforcement Learning Finally Works

    Oct 18, 2024Mohamed Elsayed, Elena Sorina Lupu, Gautham Vasan +1

  8. Learning by Surprise: Adaptive Mitigation of Model Collapse in Large Language Models

    Oct 16, 2024Daniele Gambetta, Gizem Gezici, Fosca Giannotti +3CollapseGenerative Artificial Intelligence

  9. Trust-free Personalized Decentralized Learning

    Oct 15, 2024Yawen Li, Yan Li, Junping Du +3Privacy-Preserving FrameworkFedavg

  10. Adaptive teachers for amortized samplers

    Oct 2, 2024Minsu Kim, Sanghyeok Choi, Taeyoung Yun +7SamplersAdaptive Testing

  11. iTeach: In the Wild Interactive Teaching for Failure-Driven Adaptation of Robot Perception

    Oct 1, 2024Jishnu Jaykumar P, Cole Salvato, Vinaya Bomnale +4Robotic Perception

  12. Collaborative Knowledge Distillation via a Learning-by-Education Node Community

    Sep 30, 2024Anestis Kaimakamidis, Ioannis Mademlis, Ioannis PitasKnowledge DistillationChain-Of-Thought Distillation

  13. Byzantine-Robust Aggregation for Securing Decentralized Federated Learning

    Sep 26, 2024Diego Cajaraville-Aboy, Ana Fernández-Vilas, Rebeca P. Díaz-Redondo +1Federated LearningByzantine Attacks

  14. Tackling fluffy clouds: robust agricultural field boundary delineation from Sentinel-1 and Sentinel-2 satellite image time series

    Sep 20, 2024Foivos I. Diakogiannis, Zheng-Shu Zhou, Jeff Wang +13Sentinel-2

  15. AIR: Analytic Imbalance Rectifier for Continual Learning

    Aug 19, 2024Di Fang, Yinan Zhu, Zhiping Lin +3Extreme Class ImbalanceLearning-Augmented Algorithms

  16. ProSpec RL: Plan Ahead, then Execute

    Jul 31, 2024Liangliang Liu, Yi Guan, BoRan Wang +5Model-Free Reinforcement LearningDeep Reinforcement Learning

  17. Enhancing Hardware Fault Tolerance in Machines with Reinforcement Learning Policy Gradient Algorithms

    Jul 21, 2024Sheila Schoepp, Mehran Taghian, Shotaro Miwa +3Fault ToleranceAgent Framework

  18. Open-Vocabulary Object-Goal Navigation by Generalizing Semantic Mapping with Dense CLIP

    Jul 12, 2024Meng Wei, Chenyang Wan, Tai Wang +6Vision-Language NavigationOpen-Vocabulary

  19. Lifelong Learning of Video Diffusion Models From a Single Video Stream

    Jun 7, 2024Jason Yoo, Yingchen He, Saeid Naderiparizi +4

  20. Federated Class-Incremental Learning with Hierarchical Generative Prototypes

    Jun 4, 2024Riccardo Salami, Pietro Buzzega, Matteo Mosconi +2Domain Incremental LearningLearnable Prototypes

  21. Active Exploration via Autoregressive Generation of Missing Data

    May 29, 2024Tiffany Tianhui Cai, Hongseok Namkoong, Daniel Russo +1Efficient ExplorationUncertainty-Aware Inference

  22. Invariant Graph Representations for Continuous-Time Dynamic Graphs Under Distribution Shifts

    May 29, 2024Lanting Fang, Yulian Yang, Yawei Zhang +3Graph Representation LearningDistribution Shifts

  23. On the Approximation and Convergence of Distributional Policy Gradient Algorithms for Risk-Sensitive Reinforcement Learning

    May 23, 2024Xian Yu, Minheng Xiao, Lei YingConditional-Value-At-Risk

  24. Realistic Continual Learning Approach using Pre-trained Models

    Apr 11, 2024Nadia Nasri, Carlos Gutiérrez-Álvarez, Sergio Lafuente-Arroyo +2Efficient Continual LearningContinual Learning Methods

  25. A Probabilistic Approach for Model Alignment with Human Comparisons

    Mar 16, 2024Junyu Cao, Mohsen BayatiReinforcement Learning From Human FeedbackModel Evaluation

  26. FedReview: Review and Dispose Poisoned Updates without Validation Datasets or Historic Knowledge

    Feb 26, 2024Tianhang Zheng, Yanlu Li, Bohan Deng +1Federated LearningData Poisoning

  27. HiQA: A Hierarchical Contextual Augmentation RAG for Multi-Documents QA

    Feb 1, 2024Xinyue Chen, Pengyu Gao, Jiangjiang Song +1Multi-Hop Question Answering BenchmarksMultimodal Documents