Self-supervised Representation Learning

התחברות

תובנה - Self-supervised Representation Learning

CL-MAE: Curriculum-Learned Masked Autoencoders Unveiled

Curriculum learning enhances masked autoencoders for robust representation learning.

MLVICX: Multi-Level Variance-Covariance Exploration for Chest X-ray Self-Supervised Representation Learning

MLVICXは胸部X線画像の自己教師付き表現学習のための多レベル分散共分散探索を紹介します。

MVEB: Self-Supervised Learning with Multi-View Entropy Bottleneck for Minimal Sufficient Representation

The core message of this work is to propose the Multi-View Entropy Bottleneck (MVEB) objective to effectively learn the minimal sufficient representation in the unsupervised multi-view setting. MVEB simplifies the learning of the minimal sufficient representation to maximizing both the agreement between the embeddings of two views and the differential entropy of the embedding distribution.

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תובנות