qinghaizheng1992 Goto Github PK

2019-icml-comic

COMIC: Multi-view Clustering Without Parameter Selection, International Conference on Machine Learning (ICML’19)

2019-ijcai-mvscn

2019-pr-sparse-multi-view-clustering

The code of SMVSC

2021-cvpr-completer

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

2021-cvpr-mvcln

PyTorch implementation for Partially View-aligned Representation Learning with Noise-robust Contrastive Loss (CVPR 2021)

2021-tip-mvlnet

2022-tpami-dcp

PyTorch implementation for Dual Contrastive Prediction for Incomplete Multi-view Representation Learning (TPAMI'22)

2022-tpami-sure

PyTorch implementation for Robust Multi-view Clustering with Incomplete Information (TPAMI 2022).

a-long-tailed-survey

本项目是 Deep Long-Tailed Learning: A Survey 文章的中译版

aaai-2023-sagsc

aaai2020_wtnnm

MATLAB implementation for our AAAI-20 paper: Quanxue Gao, Wei Xia, Zhizhen Wan, Deyan Xie, Pu Zhang. Tensor-SVD Based Graph Learning for Multi-View Subspace Clustering. AAAI 2020.

acmin

Effective and Scalable Clustering on Massive Attributed Graphs

adagae

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

ae2-nets

code of AE^2-Nets （Autoencoder in Autoencoder Networks）

algorithms

Collection of fun algorithms and data structures.

amgl-ijcai16

Source code for the published paper "Parameter-Free Auto-Weighted Multiple Graph Learning" IJCAI 2016

autoencoders

Implementation of several different types of autoencoders

autosc

Matlab source codes of the autoSC method

avt-pytorch

Autoencoding Variational Transformations (AVT) in pytorch, ICCV 2019

awesome-information-bottleneck

This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.

awesome-multi-view-clustering

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

awgf-code

Matlab implementation of Adaptive Weighted Graph Fusion Incomplete Multi-View Subspace Clustering

awscgld

Multi-view Spectral Clustering by Simultaneous Consensus Graph Learning and Discretization

bbq-calibration

Binary Classifier Calibration Models

bcot

beta-calibration

beta-calibration---python-package

Beta calibration

bmvc

Binary Multi-View Clustering

cca_zoo

Canonical Correlation Analysis Zoo: CCA, GCCA (weighted/missing observations), MCCA, DCCA, DMCCA, DGCCA, DVCCA, DCCAE, (M)KCCA and regularised variants including sparse CCA , ridge CCA and elastic CCA. Deep models are implemented using Pytorch

cd-diagram

Critical difference diagram with Wilcoxon-Holm post-hoc analysis.