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2019-icml-comic

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

2021-aaai-cc

Code for the paper "Contrastive Clustering" (AAAI 2021)

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-nips-pvc

2022-tnnls-fssc

Source Code for 'Fast Self-Supervised Clustering with Anchor Graph' (T-NNLS)

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).

a5

Adversarial Augmentation Against Adversarial Attacks

aaai17

adamatcher

Code for CVPR2023 paper:Adaptive Assignment for Geometry Aware Local Feature Matching

agcsc

aim-ccreid

alfasvmlib

ALFASVMLib - A Matlab library for adversarial label flip attacks against SVMs

amos

AMOS - AN AUTOMATED MODEL ORDER SELECTION ALGORITHM FOR SPECTRAL GRAPH CLUSTERING

anchor-graph

animals-with-attributes

Project for Data mining lecture

arnt

Adaptive Regularized Newton Method for Riemannian Optimization

attentionzsl

Codes for Paper "Attribute Attention for Semantic Disambiguation in Zero-Shot Learning"

awesome-graph-based-semi-supervised-learning

A collection of resources for graph-based semi-supervised learning (GSSL).

bi-vaegan

bigdata18

Transfer learning for time series classification

bistochastic_kcut

source code for KDD 2016 paper

bnt

Bayes Net Toolbox for Matlab

boml

Bilevel Optimization Library in Python for Multi-Task and Meta Learning

bridgegapexplanationpamc

[CVPR 2023] Bridging the Gap between Model Explanations in Partially Annotated Multi-label Classification

c2pnet

[CVPR 2023] Curricular Contrastive Regularization for Physics-aware Single Image Dehazing

causalfs

A C/C++ open-source package of causality-based feature selection

causally-regularized-learning

A method which takes advantage of causal features for classification

cim-cil

Code Implementation for CVPR 2023 Paper: Class-Incremental Exemplar Compression for Class-Incremental Learning