ML Papers Explained

Explanations to key concepts in ML

Full Index

• BART
• BEiT
• ConvMixer
• DiT
• Donut
• Fast RCNN
• Faster RCNN
• Feature Pyramid Network
• Focal Loss (RetinaNet)
• Layout LM
• Layout LM v2
• Layout LM v3
• LiLT
• Masked Autoencoder
• RCNN
• Swin Transformer
• TableNet
• Vision Transformer

By Category

RCNNs

• RCNN
• Fast RCNN
• Faster RCNN

Layout Transformers

• Layout LM
• Layout LM v2
• Layout LM v3
• LiLT

Document Information Processing

• TableNet
• DiT
• Donut

Vision Transformers

• Vision Transformer
• Masked Autoencoder
• BEiT
• Swin Transformer

Single Stage Object Detectors

• Feature Pyramid Network
• Focal Loss (RetinaNet)

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