Wen Wen

Policy Selection Method based on Spreading Activation Model for Reinforcement Learning Agent

2017 · The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)

This paper proposes a policy selection method of a reinforcement learning agent for suitable learning in unknown or dynamic environments based on a spreading activation model in the cognitive psychology. The reinforcement learning agent saves …

Ensemble Making Few-Shot Learning Stronger

2021 · arXiv (Cornell University)

Few-shot learning has been proposed and rapidly emerging as a viable means for completing various tasks. Many few-shot models have been widely used for relation learning tasks. However, each of these models has a shortage …

Phi-3 Safety Post-Training: Aligning Language Models with a "Break-Fix" Cycle

2024 · arXiv (Cornell University)

Recent innovations in language model training have demonstrated that it is possible to create highly performant models that are small enough to run on a smartphone. As these models are deployed in an increasing number …

Development and validation of deep learning models for qualitative classification of benign and malignant enlarged cervical lymph nodes based on ultrasound images

2025 · Gland Surgery

Background: Enlargement of cervical lymph nodes (CLNs) is a common clinical response to lesions in the neck as well as in other parts of the body. Accurate qualitative diagnosis of lymph nodes can provide important …