2 papers
math.OC2023
A Zeroth-Order Variance-Reduced Method for Decentralized Stochastic Non-convex Optimization
Hongxu Chen, Jinchi Chen, Ke Wei
In this paper, we consider a distributed stochastic non-convex optimization problem, which is about minimizing a sum of local cost functions over a network with only zeroth-ord…
cs.CV2023
De-coupling and De-positioning Dense Self-supervised Learning
Congpei Qiu, Tong Zhang, Wei Ke +2
Dense Self-Supervised Learning (SSL) methods address the limitations of using image-level feature representations when handling images with multiple objects. Although the dense fea…