6 citations · 24 across the 11 of their papers we have counts for
5 papers · 1 filter
Semantically Contrastive Learning for Low-light Image Enhancement
Dong Liang, Ling Li, Mingqiang Wei +5
Low-light image enhancement (LLE) remains challenging due to the unfavorable prevailing low-contrast and weak-visibility problems of single RGB images. In this paper, we respond to…
Does Preprocessing Help Training Over-parameterized Neural Networks?
Zhao Song, Shuo Yang, Ruizhe Zhang
Deep neural networks have achieved impressive performance in many areas. Designing a fast and provable method for training neural networks is a fundamental question in machine lear…
Speeding up Deep Model Training by Sharing Weights and Then Unsharing
Shuo Yang, Le Hou, Xiaodan Song +2
We propose a simple and efficient approach for training the BERT model. Our approach exploits the special structure of BERT that contains a stack of repeated modules (i.e., transfo…
Combinatorial Bandits without Total Order for Arms
Shuo Yang, Tongzheng Ren, Inderjit S. Dhillon +1
We consider the combinatorial bandits problem, where at each time step, the online learner selects a size- subset from the arms set , where $\left|\mathcal{A}\r…
Linear Bandit Algorithms with Sublinear Time Complexity
Shuo Yang, Tongzheng Ren, Sanjay Shakkottai +3
We propose two linear bandits algorithms with per-step complexity sublinear in the number of arms . The algorithms are designed for applications where the arm set is extremely l…