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(Deep Convolutional Neural Networks (CNN), Deep Residual Learning (RNN),…
Deep Convolutional Neural Networks (CNN)
Deep Residual Learning (RNN)
Attention
MLP
SDG
Dropout
ReLu
Softmax
GAN
Graph Neural Network (GNN)
Graph Convolutional Network (GCN)
Vision Transformer (ViT)
BERT
contrastive pre-training
Masked Autoencoders (MAE)
Self-supervised learning
data augmentation
Momentum Contrast (MoCo)
Cross-entropy
Pretext tasks
Contrastive predictive coding (CPC)
Contrastive multiview coding (CMC)
Noise contrastive estimation (NCE)
Instance Discrimination
SimCLR
SwAV
Bootstrap Your Own Latent (BYOL)
Batch Norm
Layer Norm
simple Siamese
Expectation-Maximization (EM)
Self-distillation with no labels (DINO)
Package: autogluon
Swin Transformer
paperswithcode.com
CLIP
ViLD
Mixed-precision
polysemy
Prompt Engineering and Ensembling
Linear probe
Two-stream convolutional Network
Latent Diffusion Model