MLP-Mixer: An all-MLP Architecture for Vision (Machine Learning Research Paper Explained)

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Involution: Inverting the Inherence of Convolution for Visual Recognition (Research Paper Explained)

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DDPM - Diffusion Models Beat GANs on Image Synthesis (Machine Learning Research Paper Explained)

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FNet: Mixing Tokens with Fourier Transforms (Machine Learning Research Paper Explained)

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Pretrained Transformers as Universal Computation Engines (Machine Learning Research Paper Explained)

LambdaNetworks: Modeling long-range Interactions without Attention (Paper Explained)

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DINO: Emerging Properties in Self-Supervised Vision Transformers (Facebook AI Research Explained)

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Perceiver: General Perception with Iterative Attention (Google DeepMind Research Paper Explained)

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Rethinking Attention with Performers (Paper Explained)

TransGAN: Two Transformers Can Make One Strong GAN (Machine Learning Research Paper Explained)

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NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis (ML Research Paper Explained)