文件名称：表示学习（Representation Learning）【8篇，NeurIPS 2019论文选读】.zip
文件大小：5.06MB
文件格式：ZIP
更新时间：2023-01-11 13:51:39
representation_l
NeurIPS 2019（Neural Information Processing Systems）将在12月8日-14日在加拿大温哥华举行。NeurIPS 是全球最受瞩目的AI、机器学习*学术会议之一，每年全球的人工智能爱好者和科学家都会在这里聚集，发布最新研究。我们整理了会议有关表示学习专题的论文，供相关研究人员下载学习。
【文件预览】：
9295-adversarial-fisher-vectors-for-unsupervised-representation-learning.pdf.pdf
8981-continual-unsupervised-representation-learning.pdf.pdf
9240-large-scale-adversarial-representation-learning.pdf.pdf
8342-vgraph-a-generative-model-for-joint-community-detection-and-node-repres.pdf.pdf
8713-unsupervised-scalable-representation-learning-for-multivariate-time-ser.pdf.pdf
9342-rethinking-kernel-methods-for-node-representation-learning-on-graphs.pdf.pdf
9720-self-attention-with-functional-time-representation-learning.pdf.pdf
8791-a-refined-margin-distribution-analysis-for-forest-representation-learni.pdf.pdf