1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 1 cited
Coordinating Distributed Example Orders for Provably Accelerated Training
A. Feder Cooper, Wentao Guo, Khiem Pham +4
Recent research on online Gradient Balancing (GraB) has revealed that there exist permutation-based example orderings for SGD that are guaranteed to outperform random reshuffling (…
cs.LG2022
Approximating Martingale Process for Variance Reduction in Deep Reinforcement Learning with Large State Space
Charlie Ruan
Approximating Martingale Process (AMP) is proven to be effective for variance reduction in reinforcement learning (RL) in specific cases such as Multiclass Queueing Networks. Howev…
cs.CV2022
Photo Rater: Photographs Auto-Selector with Deep Learning
Wentao Guo, Charlie Ruan, Claire Zhou
Photo Rater is a computer vision project that uses neural networks to help photographers select the best photo among those that are taken based on the same scene. This process is u…