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DropCompute: simple and more robust distributed synchronous training via compute variance reduction
Thus, these methods are limited by the delays caused by straggling workers.
Slack-Free Spiking Neural Network Formulation for Hypergraph Minimum Vertex Cover Tam Ngoc-Bang Nguyen
HMVC on real and synthetic instances where the SNN-based QUBO solver often failed, while consuming measurably less energy than global solvers on CPU.
Chain-of-Thought Reasoning without Prompting
These methods, while effective, often involve manually intensive prompt engineering.
Locality-Aware Generalizable Implicit Neural Representation
Generalizable implicit neural representation (INR) enables a single continuous function, i.e., a coordinate-based neural network, to represent multiple data instances
Terra: A Multimodal Spatio-Temporal Dataset Spanning the Earth Wei Chen
Since the inception of our planet, the meteorological environment, as reflected through spatio-temporal data, has always been a fundamental factor influencing human life, socio-economic progress, and ecological conservation.
Semantic segmentation of sparse irregular point clouds for leaf/wood discrimination Yuchen Bai 1 Jean-Baptiste Durand
We also propose a loss function adapted to the severe class imbalance. We show that our model outperforms state-of-the-art alternatives on UA V point clouds.
