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Found 4 papers, 1 papers with code
Efficient Distributed Learning over Decentralized Networks with Convoluted Support Vector Machine
We then develop an efficient generalized alternating direction method of multipliers (ADMM) algorithm for solving penalized SVM over decentralized networks.
Quantum-Inspired Machine Learning for Molecular Docking
Traditional docking by searching for possible binding sites and conformations is computationally complex and results poorly under blind docking.
ReCLIP: Refine Contrastive Language Image Pre-Training with Source Free Domain Adaptation
Large-scale Pre-Training Vision-Language Model such as CLIP has demonstrated outstanding performance in zero-shot classification, e. g. achieving 76. 3% top-1 accuracy on ImageNet without seeing any example, which leads to potential benefits to many tasks that have no labeled data.
CameraPose: Weakly-Supervised Monocular 3D Human Pose Estimation by Leveraging In-the-wild 2D Annotations
By adding a camera parameter branch, any in-the-wild 2D annotations can be fed into our pipeline to boost the training diversity and the 3D poses can be implicitly learned by reprojecting back to 2D.
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3D Human Pose Estimation
on Human3.6M
