wangsiwei2010

awesome-multi-view-clustering

collections for advanced, novel multi-view clustering methods(papers , codes and datasets)

CVPR22-IMVC-CBG

code for CVPR22-IMVC-CBG

FPMVS-CAG

code of "Fast Parameter-free Multi-view Subspace Clustering with Consensus Anchor Guidance " published in IEEE TIP2022

graduatepapertheis

large_scale_multi-view_clustering_datasets

Some large-scale MVC benchmark datases

Multi-Kernel-Extreme-Learning-Machine

Matlab code for "Multiple kernel extreme learning machine"

Multiple-Kernel-k-Means-Clustering-with-Matrix-Induced-Regularization

matlab code for AAAI16：Multiple Kernel k-Means Clustering with Matrix-Induced Regularization

multiple_kernel_clustering_with_absent_kernel

matlab code for AAAI17/TPAMI19 "Multiple Kernel k-means with Incomplete Kernels"

NeurIPS22-FMVACC

Introduction and related code for our NeurIPS22 paper ‘ Align then Fusion: Generalized Large-scale Multi-view Clustering with Anchor Matching Correspondences’

SPMVC-CAG

Code of "Scalable Partial Multi-view Clustering with Consistent Anchor Graph"

wangsiwei2010/FPMVS-CAG

code of "Fast Parameter-free Multi-view Subspace Clustering with Consensus Anchor Guidance " published in IEEE TIP2022

wangsiwei2010/large_scale_multi-view_clustering_datasets

Some large-scale MVC benchmark datases

wangsiwei2010/Incomplete_multi-view_Datasets

wangsiwei2010/PSIMVC-PG

wangsiwei2010/awesome-contrastive-self-supervised-learning

A comprehensive list of awesome contrastive self-supervised learning papers.

wangsiwei2010/graphlatefusion_MKC

demo code for 'Late Fusion Multiple Kernel Clustering with Proxy Graph Refinement' accepted in IEEE-tnnls 2021.

wangsiwei2010/Updated_nudt_proposal_overleaf

wangsiwei2010/PyContrast

PyTorch implementation of Contrastive Learning methods

wangsiwei2010/RecommenderSystem

wangsiwei2010/unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

wangsiwei2010/2021-CVPR-Completer

PyTorch implementation for COMPLETER: Incomplete Multi-view Clustering via Contrastive Prediction (CVPR 2021)

wangsiwei2010/AdaGAE

Implementation of "Adaptive Graph Auto-Encoder for General Data Clustering", IEEE Transactions on Pattern Analysis and Machine Intelligence.

wangsiwei2010/annotated_latex_equations

Examples of how to create colorful, annotated equations in Latex using Tikz.

wangsiwei2010/awesome-awesome-machine-learning

A curated list of awesome lists across all machine learning topics. | 机器学习/深度学习/人工智能一切主题 (学习范式/任务/应用/模型/道德/交叉学科/数据集/框架/教程) 的资源列表汇总。

wangsiwei2010/awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

wangsiwei2010/counterfactual_generative_networks

[ICLR'21] Counterfactual Generative Networks

wangsiwei2010/DRL

Deep Reinforcement Learning

wangsiwei2010/Ebook-Linear_Programming

wangsiwei2010/EOMSC-CA

Code of AAAI21"Efficient One-pass Multi-view Subspace Clustering with Consensus Anchors"

wangsiwei2010/GCC

Graph Contrastive Clustering (ICCV2021)

wangsiwei2010/GP-MVC

wangsiwei2010/LSMI-Sinkhorn

Code for ECML/PKDD paper: "LSMI-Sinkhorn: Semi-supervised Mutual Information Estimation with Optimal Transport"

wangsiwei2010/LSWMKC

wangsiwei2010/mice

Multivariate Imputation by Chained Equations

wangsiwei2010/MMGCN

MMGCN: Multi-modal Graph Convolution Network forPersonalized Recommendation of Micro-video

wangsiwei2010/PCL

PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"

wangsiwei2010/PMKSC-code

wangsiwei2010/resume

个人中文简历 Latex 源码 https://hijiangtao.github.io/

wangsiwei2010/SLAPS-GNN

PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"

wangsiwei2010/Transformer-Explainability

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.