areas: computer-vision

• A ConvNet for the 2020s — 2022, replicated
• Swin Transformer: Hierarchical Vision Transformer using Shifted Windows — 2021, deep-read
• AN IMAGE IS WORTH 16X16 WORDS: TRANSFORMERS FOR IMAGE RECOGNITION AT SCALE — 2021, replicated
• Denoising Diffusion Probabilistic Models — 2020, replicated
• Group Normalization — 2018, deep-read
• Very Deep Convolutional Networks for Large-Scale Image Recognition — 2015, skimmed
• Deep Residual Learning for Image Recognition — 2015, deep-read
• Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift — 2015, deep-read
• Gradient-based learning applied to document recognition — 1998, replicated