xunguangwang/Seminal-Work-in-DL

Awesome seminal works in deep learning

Seminal Works in Deep Learning

Convolution Neural Network (CNN)

• Deep Residual Learning for Image Recognition (CVPR 2016)
  xxx.

Transformer

• Attention is All you Need (NIPS 2017)
  The authors propose a new simple network architecture, the Transformer, which dispenses with recurrence and convolutions entirely.

Generative Adversarial Network

• Generative Adversarial Nets (NIPS 2014)
  xx

Diffusion Model

• Denoising Diffusion Probabilistic Models (NeurIPS 2020)
  xx

Neural radiance Field (NeRF)

• NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis (ECCV 2020)
  xx