6 papers
MTSSL: Meta-Thresholding Semi-Supervised Learning
Shuyang Liu, Ziang Zeng, Ruiqiu Zheng +4
A large body of Semi-supervised Learning~(SSL) algorithms encounter the threshold to select pseudo-labels. The value of across different SSL algorithms can vary depending o…
Hear: Hierarchically Enhanced Aesthetic Representations For Multidimensional Music Evaluation
Shuyang Liu, Yuan Jin, Rui Lin +3
Evaluating song aesthetics is challenging due to the multidimensional nature of musical perception and the scarcity of labeled data. We propose HEAR, a robust music aesthetic evalu…
Probability-density-aware Semi-supervised Learning
Shuyang Liu, Ruiqiu Zheng, Yunhang Shen +4
Semi-supervised learning (SSL) assumes that neighbor points lie in the same category (neighbor assumption), and points in different clusters belong to various categories (cluster a…
A New Baseline Assumption of Integated Gradients Based on Shaply value
Shuyang Liu, Zixuan Chen, Ge Shi +6
Efforts to decode deep neural networks (DNNs) often involve mapping their predictions back to the input features. Among these methods, Integrated Gradients (IG) has emerged as a si…
CasIL: Cognizing and Imitating Skills via a Dual Cognition-Action Architecture
Zixuan Chen, Ze Ji, Shuyang Liu +3
Enabling robots to effectively imitate expert skills in longhorizon tasks such as locomotion, manipulation, and more, poses a long-standing challenge. Existing imitation learning (…
Keeping Minimal Experience to Achieve Efficient Interpretable Policy Distillation
Xiao Liu, Shuyang Liu, Wenbin Li +2
Although deep reinforcement learning has become a universal solution for complex control tasks, its real-world applicability is still limited because lacking security guarantees fo…