liujie40 / ML-Papers-Explained

Explanation to key concepts in ML

ML Papers Explained

Explanations to key concepts in ML

Full Index

• AlexNet
• BART
• BEiT
• BERT
• ConvMixer
• DenseNet
• DistilBERT
• DiT
• Donut
• EfficientNet
• ERNIE-Layout
• Fast RCNN
• Faster RCNN
• Feature Pyramid Network
• Focal Loss (RetinaNet)
• InceptionNet
• InceptionNetV2 and InceptionNetV3
• Layout LM
• Layout LM v2
• Layout LM v3
• Lenet
• LiLT
• Masked Autoencoder
• MobileBERT
• MobileNetV1
• MobileNetV2
• RCNN
• ResNet
• ResNext
• SentenceBERT
• Swin Transformer
• TableNet
• TinyBERT
• Transformer
• VGG
• Vision Transformer
• Xception
• XLNet

By Category

CNNs

• Lenet
• AlexNet
• VGG
• InceptionNet
• InceptionNetV2 and InceptionNetV3
• ResNet
• ResNext
• Xception
• DenseNet
• MobileNetV1
• MobileNetV2
• EfficientNet

RCNNs

• RCNN
• Fast RCNN
• Faster RCNN

Transformers

• BART
• BERT
• DistilBERT
• MobileBERT
• SentenceBERT
• TinyBERT
• Transformer
• XLNet

Layout Transformers

• ERNIE-Layout
• Layout LM
• Layout LM v2
• Layout LM v3
• LiLT

Document Information Processing

• TableNet
• DiT
• Donut

Vision Transformers

• BEiT
• Masked Autoencoder
• Swin Transformer
• Vision Transformer

Single Stage Object Detectors

• Feature Pyramid Network
• Focal Loss (RetinaNet)

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