MVC list.md

重点关注对象

基于因果表征学习

• MULTI-VIEW CAUSAL REPRESENTATION LEARNING WITH PARTIAL OBSERVABILITY

  • Self-supervised learning with data augmentations provably isolates content from style

    这篇文章有相关参考术语

  • Weakly supervised causal representation learning

  • IDENTIFIABILITY RESULTS FOR MULTIMODAL CONTRASTIVE LEARNING

• Causality Inspired Representation Learning for Domain Generalization CVPR2022

• Meta-causal Learning for Single Domain Generalization CVPR2023

  • 《Meta-causal Learning for Single Domain Generalization》-CSDN博客

• Learning Causal Semantic Representation for Out-of-Distribution Prediction

  • 数学理论较多，有点复杂

• Domain generalization using causal matching（引用250+）

• Causality-Inspired Invariant Representation Learning for Text-Based Person Retrieval（AAAI-24）

  • 做下游任务的，但似乎创新点感觉不太多，可以参考写作思路

• 一篇博客

  • 因果推理综述——《A Survey on Causal Inference》一文的总结和梳理 - 打瞌睡的布偶猫 - 博客园 (cnblogs.com)

mamba模型

• vision mamba

  • 代码 https://github.com/hustvl/Vim

待看文章

使用autoencoder的相关文章

• Unsupervised Deep Embedding for Clustering Analysis

• Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization

  这篇文章好像是基础，打算看一下

• Deep Clustering with Convolutional Autoencoders

使用非负矩阵分解

• Multi-View Clustering via Joint Nonnegative Matrix Factorization

  这块不是深度的模型，暂时不打算急着看

使用GCN的文章

• Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning

  这篇有空打算看一下，感觉可能有启发

• Multi-view learning via low-rank tensor optimization

• Semi-Supervised Classification with Graph Convolutional Networks

  这篇打算重点看一下，掌握重点方法技巧，引用三万

  还有知乎答主对于这篇文章的解读https://zhuanlan.zhihu.com/p/58178060

图对比学习

• Dual Contrastive Learning Network for Graph Clustering

  • IEEE Xplore Full-Text PDF:
  • https://github.com/XinPeng97/TNNLS_DCLN

• Reinforcement Graph Clustering with Unknown Cluster Number (RGC)

  • 2308.06827.pdf (arxiv.org)
  • [yueliu1999/RGC: ACM MM 2023] An official source code for paper Reinforcement Graph Clustering with Unknown Cluster Number. (github.com)

• Self-Contrastive Graph Diffusion Network

  • 2307.14613.pdf (arxiv.org)
  • https://github.com/kunzhan/SCDGN

---

待看

• MULTI-VIEW LEARNING VIA LOW-RANK TENSOR OPTIMIZATION
• Learning Deep Sparse Regularizers With Applications to Multi-View Clustering and Semi-Supervised Classification