Sheng-Jun Huang

10

Papers

5

Total Citations

Papers (10)

One-shot Active Learning Based on Lewis Weight Sampling for Multiple Deep Models

Learning to Trust Bellman Updates: Selective State-Adaptive Regularization for Offline RL

StructSR: Refuse Spurious Details in Real-World Image Super-Resolution

Improving Generalization of Deep Neural Networks by Optimum Shifting

MLC-NC: Long-Tailed Multi-Label Image Classification Through the Lens of Neural Collapse

Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning

Dirichlet-Based Prediction Calibration for Learning with Noisy Labels

Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach

Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training

Dual-Decoupling Learning and Metric-Adaptive Thresholding for Semi-Supervised Multi-Label Learning