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Most Influential Subset Selection: Challenges, Promises, and Beyond Y uzheng Hu
Subset Selection (MISS) problem, which aims to identify a subset of training samples with the greatest collective influence.
Learning diverse causally emergent representations from time series data
Cognitive processes usually take place at a macroscopic scale in systems charac-terised by emergent properties that make the whole'more than the sum of its parts.'
Human-Aware Vision-and-Language Navigation: Bridging Simulation to Reality with Dynamic Human Interactions Heng Li
Vision-and-Language Navigation (VLN) aims to develop embodied agents that navigate based on human instructions. However, current VLN frameworks often rely on static environments and optimal expert supervision, limiting their real-world applicability. To address this, we introduce Human-Aware Vision-and-Language Navigation (HA-VLN), extending traditional VLN by incorporating dynamic human activities and relaxing key assumptions.
Qi Song
Single-view 3D reconstruction methods like Triplane Gaussian Splatting (TGS) have enabled high-quality 3D model generation from just a single image input within seconds.