Search Results for author:
Found 4 papers, 1 papers with code
Mixture-of-LoRAs: An Efficient Multitask Tuning for Large Language Models
These LoRA modules can be aligned with the expert design principles observed in Mixture-of-Experts (MoE).
ResNetX: a more disordered and deeper network architecture
Our architecture is a natural extension to ResNet, and can be integrated with existing state-of-the-art methods with little effort.
Federated Deep Reinforcement Learning
In deep reinforcement learning, building policies of high-quality is challenging when the feature space of states is small and the training data is limited.
Extracting Action Sequences from Texts Based on Deep Reinforcement Learning
Extracting action sequences from natural language texts is challenging, as it requires commonsense inferences based on world knowledge.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
