mlsanityData to 14 Oct 2026

Predicting Participants' Performance in Programming Contests using Deep Learning Techniques

arXiv 2302.05602 ↗First posted 11 Feb 2023cs.LG cs.AIcited by 1

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Abstract (arXiv)

In recent days, the number of technology enthusiasts is increasing day by day with the prevalence of technological products and easy access to the internet. Similarly, the amount of people working behind this rapid development is rising tremendously. Computer programmers consist of a large portion of those tech-savvy people. Codeforces, an online programming and contest hosting platform used by many competitive programmers worldwide. It is regarded as one of the most standardized platforms for practicing programming problems and participate in programming contests. In this research, we propose a framework that predicts the performance of any particular contestant in the upcoming competitions as well as predicts the rating after that contest based on their practice and the performance of their previous contests.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 2 of its 22 references that are in the map. First posted on arXiv 11 Feb 2023.

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References · 2

  1. 2014Neural Machine Translation by Jointly Learning to Align and Translatecited by 4,548
  2. 2014Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modelingcited by 2,367

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