• InfoGraph

  • Referenced in 2 articles [sw37754]
  • InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization. This paper ... studies learning the representations of whole graphs in both unsupervised and semi-supervised scenarios. Graph ... semi-supervised scenarios. InfoGraph* maximizes the mutual information between unsupervised graph representations learned by InfoGraph ... representations learned by existing supervised methods. As a result, the supervised encoder learns from unlabeled...
  • GraphDemo

  • Referenced in 1 article [sw10148]
  • their use in machine learning. Many machine learning algorithms model local neighborhoods using similarity graphs ... denoising, spectral clustering, label propagation for semi-supervised learning, and so on. However, for most...
  • OLALA

  • Referenced in 1 article [sw38125]
  • inefficient. These characteristics also challenge existing active learning methods, as image-level scoring and selection ... common objects.Inspired by recent progresses in semi-supervised learning and self-training, we propose...
  • CLEMM

  • Referenced in 1 article [sw31323]
  • learning technique in multivariate statistics and machine learning. In this paper, we propose ... envelope methods in unsupervised and semi-supervised learning problems. Numerical studies on simulated data...
  • DeepAffinity

  • Referenced in 1 article [sw39160]
  • structurally-annotated protein sequences, a semi-supervised deep learning model that unifies recurrent and convolutional...
  • MEKA

  • Referenced in 12 articles [sw15429]
  • variety of methods for this type of learning. We present MEKA: an open-source Java ... target data, including in incremental and semi-supervised contexts...
  • XGBOD

  • Referenced in 1 article [sw41892]
  • Outlier Detection with Unsupervised Representation Learning. A new semi-supervised ensemble algorithm called XGBOD (Extreme ... combines the strengths of both supervised and unsupervised machine learning methods by creating a hybrid...
  • wav2vec

  • Referenced in 4 articles [sw38717]
  • Self-Supervised Learning of Speech Representations. We show for the first time that learning powerful ... transcribed speech can outperform the best semi-supervised methods while being conceptually simpler. wav2vec ... latent representations which are jointly learned. Experiments using all labeled data of Librispeech achieve...
  • Manifold Regularization

  • Referenced in 1 article [sw24840]
  • marginal distribution. We focus on a semi-supervised framework that incorporates labeled and unlabeled data ... handle both transductive and truly semi-supervised settings. We present experimental evidence suggesting that ... semi-supervised algorithms are able to use unlabeled data effectively. Finally we have a brief ... discussion of unsupervised and fully supervised learning within our general framework...
  • RANKS

  • Referenced in 1 article [sw39968]
  • functions, a semi-supervised algorithmic scheme embedding both local and global learning strategies...
  • CogDL

  • Referenced in 2 articles [sw37740]
  • networks. Most of the graph embedding methods learn node-level or graph-level representations ... capture node features and work in semi-supervised or self-supervised settings. All models implemented...
  • FRaC

  • Referenced in 3 articles [sw15627]
  • verified “normal” data (semi-supervised anomaly detection). Traditional approaches typically compare the position ... appear in anomalies. Our approach is to learn predictive models of the relationships among...
  • TopicRNN

  • Referenced in 3 articles [sw36211]
  • contextual RNN language modeling, our model is learned end-to-end. Empirical results on word ... resulting from a semi-supervised approach. Finally, TopicRNN also yields sensible topics, making...
  • LANCELOT

  • Referenced in 310 articles [sw00500]
  • LANCELOT. A Fortran package for large-scale nonlinear...
  • Matlab

  • Referenced in 13702 articles [sw00558]
  • MATLAB® is a high-level language and interactive...
  • mclust

  • Referenced in 315 articles [sw00563]
  • R package mclust: Normal Mixture Modeling for Model...
  • Octave

  • Referenced in 312 articles [sw00646]
  • GNU Octave is a high-level language, primarily...
  • R

  • Referenced in 10196 articles [sw00771]
  • R is a language and environment for statistical...
  • SCIP

  • Referenced in 554 articles [sw01091]
  • SCIP is currently one of the fastest non...
  • GraphBase

  • Referenced in 138 articles [sw01555]
  • The Stanford GraphBase is a freely available collection...