4 citations · 13 across the 6 of their papers we have counts for
Showing 2021Show all
3 papers · 1 filter
cs.LG2021★ 2 cited
GDA-AM: On the effectiveness of solving minimax optimization via Anderson Acceleration
Huan He, Shifan Zhao, Yuanzhe Xi +2
Many modern machine learning algorithms such as generative adversarial networks (GANs) and adversarial training can be formulated as minimax optimization. Gradient descent ascent (…
cs.LG2021★ 4 cited
Temporal Network Embedding via Tensor Factorization
Jing Ma, Qiuchen Zhang, Jian Lou +2
Representation learning on static graph-structured data has shown a significant impact on many real-world applications. However, less attention has been paid to the evolving nature…
cs.LG2021
CrowdTeacher: Robust Co-teaching with Noisy Answers & Sample-specific Perturbations for Tabular Data
Mani Sotoodeh, Li Xiong, Joyce C. Ho
Samples with ground truth labels may not always be available in numerous domains. While learning from crowdsourcing labels has been explored, existing models can still fail in the…