1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.LG2023
Batch-less stochastic gradient descent for compressive learning of deep regularization for image denoising
Hui Shi, Yann Traonmilin, J-F Aujol
We consider the problem of denoising with the help of prior information taken from a database of clean signals or images. Denoising with variational methods is very efficient if a…
cs.IR2022★ 1 cited
Contrastive Learning with Bidirectional Transformers for Sequential Recommendation
Hanwen Du, Hui Shi, Pengpeng Zhao +5
Contrastive learning with Transformer-based sequence encoder has gained predominance for sequential recommendation. It maximizes the agreements between paired sequence augmentation…