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Showing 1201–1225 of 1982 papers

TitleStatusHype
Multidimensional Human Activity Recognition With Large Language Model: A Conceptual Framework—0
A Computable Piece of Uncomputable Art whose Expansion May Explain the Universe in Software Space—0
Multi-goal Audio-visual Navigation using Sound Direction Map—0
Multi-Goal Multi-Agent Path Finding via Decoupled and Integrated Goal Vertex Ordering—0
Multi-LiDAR Localization and Mapping Pipeline for Urban Autonomous Driving—0
Multi-Modal Attribute Extraction for E-Commerce—0
Multimodal Contextual Dialogue Breakdown Detection for Conversational AI Models—0
Multi-Modal Trajectory Prediction of Surrounding Vehicles with Maneuver based LSTMs—0
A Survey on Solving and Discovering Differential Equations Using Deep Neural Networks—0
Multi-Motor Cargo Navigation in Complex Cytoskeletal Networks—0
VideoMix: Aggregating How-To Videos for Task-Oriented Learning—0
Investigating Collaborative Data Practices: a Case Study on Artificial Intelligence for Healthcare Research—0
Multiple Trajectory Prediction with Deep Temporal and Spatial Convolutional Neural Networks—0
A Survey on Context-Aware Multi-Agent Systems: Techniques, Challenges and Future Directions—0
Hierarchically Integrated Models: Learning to Navigate from Heterogeneous Robots—0
Video Summarisation with Incident and Context Information using Generative AI—0
Multi-View Learning for Vision-and-Language Navigation—0
MutaGReP: Execution-Free Repository-Grounded Plan Search for Code-Use—0
A Survey of Reinforcement Learning for Optimization in Automation—0
NavAgent: Multi-scale Urban Street View Fusion For UAV Embodied Vision-and-Language Navigation—0
NavBench: A Unified Robotics Benchmark for Reinforcement Learning-Based Autonomous Navigation—0
A Survey of Optimization Methods for Training DL Models: Theoretical Perspective on Convergence and Generalization—0
A Survey of Machine Learning for Big Code and Naturalness—0
NaVid: Video-based VLM Plans the Next Step for Vision-and-Language Navigation—0
Navigate Beyond Shortcuts: Debiased Learning through the Lens of Neural Collapse—0
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