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GitHub - terryum/awesome-deep-learning-papers: The most cited deep learning papers

#artificialintelligence

We believe that there exist classic deep learning papers which are worth reading regardless of their application domain. Rather than providing overwhelming amount of papers, We would like to provide a curated list of the awesome deep learning papers which are considered as must-reads in certain research domains. Before this list, there exist other awesome deep learning lists, for example, Deep Vision and Awesome Recurrent Neural Networks. Also, after this list comes out, another awesome list for deep learning beginners. Although the Roadmap List includes lots of important deep learning papers, it feels overwhelming for me to read them all.


terryum/awesome-deep-learning-papers

#artificialintelligence

I believe that there exist classic deep learning papers which are worth reading regardless of their applications. Rather than providing overwhelming amount of papers, I would like to provide a curated list of the classic deep learning papers which can be considered as must-reads in some area. Please read the contributing guide before you make a pull request. Distinguished deep learning researchers who have published 3 ( 6) papers which are on the awesome list (The papers in Hardware / Software, Papers Worth Reading, Classic Papers sections are excluded in counting.) Thank you for all your contributions.


terryum/awesome-deep-learning-papers

#artificialintelligence

I believe that there exist classic deep learning papers which are worth reading regardless of their application areas. Rather than providing overwhelming amount of papers, I would like to provide a curated list of the classic deep learning papers which can be considered as must-reads in some research areas. Please read the contributing guide before you make a pull request. Distinguished deep learning researchers who have published 3 ( 6) papers on the awesome list (The papers in Hardware / Software, Papers Worth Reading, Classic Papers sections are excluded in counting.) Thank you for all your contributions.


10 Useful Resources To Access AI/ML Research

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Every month, thousands of new research papers appear on the internet. Finding the right research papers for your research work or machine learning experiments is challenging. According to Stanford's Artificial Intelligence Index Report 2021, the AI-related publications on arXiv grew more than 6x times, from 5,478 in 2015 to 34,736 in 2020. India ranked fourth in AI research papers and eighth in AI patent filing, as per NASSCOM Insights. The platform skims through several forums and ranks them based on various features, including the names of the people in the discussions/thread.


One researcher's mission to encourage reproducibility in machine learning

#artificialintelligence

On February 14, a researcher who was frustrated with reproducing the results of a machine learning research paper opened up a Reddit account under the username ContributionSecure14 and posted the r/MachineLearning subreddit: "I just spent a week implementing a paper as a baseline and failed to reproduce the results. I realized today after googling for a bit that a few others were also unable to reproduce the results. Is there a list of such papers? It will save people a lot of time and effort." The post struck a nerve with other users on r/MachineLearning, which is the largest Reddit community for machine learning.