Large Language Models (LLMs) are gaining increasing attention due to the...
TAPS is a Topology-Aware intra-operator Parallelism strategy Searching
a...
Prompt learning is an effective paradigm that bridges gaps between the
p...
Foundation models are becoming the dominant deep learning technologies.
...
The further development of deep neural networks is hampered by the limit...
In recent years, the Deep Learning Alternating Minimization (DLAM), whic...
It is hard to train Recurrent Neural Network (RNN) with stable convergen...
Support vector machines (SVMs) with sparsity-inducing nonconvex penaltie...
The linearly constrained nonconvex nonsmooth program has drawn much atte...
In this paper, we propose a stochastic Primal-Dual Hybrid Gradient (PDHG...
Stereo matching algorithms usually consist of four steps, including matc...
We consider a wide range of regularized stochastic minimization problems...
This article presents a semantic tracker which simultaneously tracks a s...