Yejiang Wang

Machine Learning (6) Learning Types (5) Deep Learning (3) Architectures (3) Core Methods (3) Application Areas (1) Bayesian & Probabilistic (1) Optimization & Theory (1)

self-supervised learning (2) representation learning (2) graph contrastive learning (2) label correlation (2) label noise (2) multi-label classification (2) feature representation (1) mixed-norm regularization (1) proximal operator (1) prototype alignment (1) manifold constraint (1) dual encoder (1) optimal transport plan (1) optimal transport theory (1) constraint network (1) instance-dependent noise (1) self-supervised contrastive learning (1) graph neural network (1) graph self-supervised learning (1) noise matrix (1)