1. Deep Representation Learning 针对深度表示学习,主要介绍了下面三种方法: Schema of deep multi-view representation learning models. SplitAE W. Wang, R. Arora, K. Livescu, and J. Bilmes, “On deep multi-view representation learning,” in International conference on machine learning. PMLR, 2015,...
(3)learning by mutual information maximization 3. method 我们的方法通过最大化node representations of one view and graph representations of another view and vice versa之间的 MI 来学习node 和 graph representations,并且相较于比较global or multi-scale encodings在node和graph的分类任务上都获得了更好的结果。
【ICML 2020】Contrastive Multi-View Representation Learning on Graphs 论文简读 katrina hello world26 人赞同了该文章 这是一篇图对比学习的论文,虽然是2020年的论文,但是跑了一下其实比现在很多模型都稳定而且效果更好。 【背景和动机】 在计算机视觉领域,多视图的表示学习方法取得了很不错的效果,但是在图领域,...
This paper considers learning deep features from long-tailed data. We observe that in the deep feature space, the head classes and the tail classes present different distribution patterns. The head classes have a relatively large spatial span, while the tail classes have significantly small spatial...
Here, we propose a fast deep learning architecture for feature representation. The target of deep learning in our model is to capture the relevant higher-level abstraction from disentangling input features, which is possible due to the...
Uncertainty-Aware Multi-View Representation LearningYu Geng; Zongbo Han; Changqing Zhang; Qinghua Hu2021 Justicia: A Stochastic SAT Approach to Formally Verify FairnessBishwamittra Ghosh; Debabrota Basu; Kuldeep S. Meel2021 The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal...
Rethinking Kernel Methods for Node Representation Learning on Graphs Yu Tian, Long Zhao, Xi Peng, Dimitris N. Metaxas NeurIPS 2019 Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks Sitao Luan, Mingde Zhao, Xiao-Wen Chang, Doina Precup NeurIPS 2019 N-Gram Graph: A Sim...
DeepMultiCap: Performance Capture of Multiple Characters Using Sparse Multiview Cameras. Yang Zheng, Ruizhi Shao, Yuxiang Zhang, Zerong Zheng, Tao Yu, Yebin Liu. ICCV 2021. [PDF] [Project] Animatable Neural Radiance Fields for Human Body Modeling. Sida Peng, Junting Dong, Qianqian Wang, Shang...
Deep multi-view clustering based on global hybrid alignment with cross-contrastive learningdoi:10.1007/s00371-024-03703-wMulti-view clustering (MVC) plays a pivotal role in handling complex real-world data. However, conventional multi-view clustering methodologies are inclined to prioritize the ...
Jianfeng Gao: These are weak supervision training data. We have tons of this and then we train the deep learning model called DSSM. It’s fantastic. Encouraged by this result, we decided to form a deep learning team. The key concept of deep learning is representation learning. You know,...