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Comment on Ask HN: AI/ML papers to catch up with current state of AI?

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This resource has been invaluable to me: https://paperswithcode.com/

From the past examples you give it sounds like you were into computer vision. There’s been a ton of developments since then, and I think you’d really enjoy the applications of some of those classic convolutional and variational encoder techniques in combination with transformers. A state of the art multimodal non-autoregressive neural net model such as Google’s Muse is a nice paper to work up to, since it exposes a breadth of approaches.

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