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

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

Linear Transformers Are Secretly Fast Weight Memory Systems (Machine Learning Paper Explained)

QuantUniversity Summer School 2020 | Generating Synthetic Data with (GANs)

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

Machine Learning for Everybody – Full Course

NFNets: High-Performance Large-Scale Image Recognition Without Normalization (ML Paper Explained)

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

How large language models work, a visual intro to transformers | Chapter 5, Deep Learning

Dreamer v2: Mastering Atari with Discrete World Models (Machine Learning Research Paper Explained)

Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity

Swin Transformer paper animated and explained

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

LSTM is dead. Long Live Transformers!

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

Feedback Transformers: Addressing Some Limitations of Transformers with Feedback Memory (Explained)

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

How Stable Diffusion Works (AI Image Generation)

Was "Machine Learning 2.0" All Hype? The Kolmogorov-Arnold Network Explained

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Think Fast, Talk Smart: Communication Techniques