Papers with Code VS SemanticScholar

Papers With Code is one of the good resources to get you to get started. - Source: dev.to / about 1 month ago

For ML/DL papers you can check https://paperswithcode.com/. - Source: Hacker News / 5 months ago

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... - Source: Hacker News / 5 months ago

And also you can find papers with their implementations in code here: http://paperswithcode.com. - Source: Hacker News / 5 months ago

Check out paperswithcode, scroll through arxiv, or browse some well-known conferences in the field (NeurIPS, ICML). Source: 6 months ago

Hi everyone, I have been playing with a few new AI tools for literature reviews that you might like: - Seamless https://seaml.es/ - Semantic Scholar https://semanticscholar.org - Epsilon https://epsilon.ai/ I hope you find them useful. Source: 5 months ago

I rely mostly on Microsoft Academic Search. I find an article I need and then usually Google the exact title followed by filetype:pdf. For example: "Toward creating a fairer ranking in search engine results" filetype:pdf. Other services that are helpful from a discovery standpoint include ResearchGate, Academia.edu, and semanticscholar.org. Source: almost 3 years ago

Hello! Check out our Research Feeds beta on semanticscholar.org, based in part on the arxiv-sanity.com work. From any paper you can select "Research Feed" to start a feed. Source: about 3 years ago