Tag: multi-task learning
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SAMoRA: Semantic-Aware LoRA Experts for Adaptive Learning
Discover SAMoRA, a semantic-aware LoRA expert system enhancing task-adaptive learning with precise routing and dynamic expert scaling.
OmniMouse: Scaling Multi-Modal Brain Models on 150B Tokens
Explore OmniMouse's breakthrough in scaling multi-task brain models using 150B neural tokens for advanced neural prediction and behavioral decoding.
Adaptive Multi-Task Learning with Spiking Neural Networks
Discover SwitchMT: scalable multi-task learning using spiking neural networks and adaptive task-switching for smarter autonomous agents.
Exascale Multi-Task Graph Models for Atomistic Data
Discover exascale multi-task graph models designed for imbalanced, multi-fidelity atomistic data enabling rapid materials discovery and billion-scale scree...
Energy-Efficient Decentralized Federated Learning in IoV
Optimize multi-task federated fine-tuning with energy-aware decentralized scheduling for edge-assisted Internet of Vehicles (IoV) networks.