Showing cs.LGShow all
2 papers · 1 filter
cs.LG2025
Tuning the Right Foundation Models is What you Need for Partial Label Learning
Kuang He, Wei Tang, Tong Wei +1
Partial label learning (PLL) seeks to train generalizable classifiers from datasets with inexact supervision, a common challenge in real-world applications. Existing studies have d…
cs.LG2023
Deep Q-Network for Stochastic Process Environments
Kuangheng He
Reinforcement learning is a powerful approach for training an optimal policy to solve complex problems in a given system. This project aims to demonstrate the application of reinfo…