Papers with Code 2020 : A Year in Review

Ross Taylor
Dec 30, 2020 · 3 min read

Papers with Code indexes various machine learning artifacts — papers, code, results — to facilitate discovery and comparison. Using this data we can get a sense of what the ML community found useful and interesting this year. Below we summarize the top trending papers, libraries and benchmarks for 2020 on Papers with Code.

Top Trending Papers of 2020

EfficientDet by Tan et al was the most viewed paper on Papers with Code for 2020

Top Trending Libraries of 2020

🤗 Transformers was the most viewed library on Papers with Code for 2020

Top Trending Benchmarks of 2020

ImageNet was the most viewed benchmark on Papers with Code for 2020

Congratulations to all the authors and developers for making an impact in the ML community this year!

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Thanks to Elvis Saravia for helping put this piece together

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