Kaiming He
(7 articles)
Weight Initialization
An essential process in neural network training that involves setting the initial values of the model's weights to influence learning effectiveness and convergence.
Generality: 675
Residual Connections
DL architecture feature designed to help alleviate the vanishing gradient problem by allowing gradients to flow through a network more effectively.
Generality: 805
ResNet
Residual Network
Residual Network
Type of CNN (Convolutional Neural Network) architecture that introduces residual learning to facilitate the training of much deeper networks by utilizing shortcut connections or skip connections that allow the gradient to bypass some layers.
Generality: 805
Variance Scaling
Variance scaling is a technique used in machine learning to ensure weights of layers are initialized in a way that maintains consistent variance of activations throughout a neural network.
Generality: 525
Contrastive Learning
ML technique used primarily in unsupervised learning that improves model performance by teaching the model to distinguish between similar and dissimilar data points.
Generality: 720
ITM
Image-Text Matching
Image-Text Matching
AI technique that involves automatically identifying correspondences between textual descriptions and visual elements within images.
Generality: 480
LVLMs
Large Vision Language Models
Large Vision Language Models
Advanced AI systems designed to integrate and interpret both visual and textual data, enabling more sophisticated understanding and generation based on both modalities.
Generality: 675