3 papers
stat.ML2025
Analytical Discovery of Manifold with Machine Learning
Yafei Shen, Huan-Fei Ma, Ling Yang
Understanding low-dimensional structures within high-dimensional data is crucial for visualization, interpretation, and denoising in complex datasets. Despite the advancements in m…
cs.LG2024
Adaptive Gradient Regularization: A Faster and Generalizable Optimization Technique for Deep Neural Networks
Huixiu Jiang, Ling Yang, Yu Bao +2
Stochastic optimization plays a crucial role in the advancement of deep learning technologies. Over the decades, significant effort has been dedicated to improving the training eff…
cs.CV2022
HHF: Hashing-guided Hinge Function for Deep Hashing Retrieval
Chengyin Xu, Zenghao Chai, Zhengzhuo Xu +4
Deep hashing has shown promising performance in large-scale image retrieval. However, latent codes extracted by Deep Neural Networks (DNNs) will inevitably lose semantic informatio…