1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.CL2022★ 1 cited
TIER-A: Denoising Learning Framework for Information Extraction
Yongkang Li, Ming Zhang
With the development of deep neural language models, great progress has been made in information extraction recently. However, deep learning models often overfit on noisy data poin…
cs.CV2020
Augmented Bi-path Network for Few-shot Learning
Baoming Yan, Chen Zhou, Bo Zhao +5
Few-shot Learning (FSL) which aims to learn from few labeled training data is becoming a popular research topic, due to the expensive labeling cost in many real-world applications.…
cs.LG2020
Wasserstein Distance guided Adversarial Imitation Learning with Reward Shape Exploration
Ming Zhang, Yawei Wang, Xiaoteng Ma +4
The generative adversarial imitation learning (GAIL) has provided an adversarial learning framework for imitating expert policy from demonstrations in high-dimensional continuous t…