April 7, 2024, 6:26 a.m. | /u/Muhammad_Gulfam

Machine Learning www.reddit.com

Many papers introduce their own models, mostly variants of existing one with little changes in the original ones (mostly for specific problems).
Most of them don't have code published which makes it very difficult to reproduce the results.
In some cases (could be even many cases, I only found/checked some) the experiment configuration is not complete, in the paper.

What do you do with such papers?

How do you argue when people quote these papers?

cases code found machinelearning paper papers results them variants

Senior Machine Learning Engineer

@ GPTZero | Toronto, Canada

ML/AI Engineer / NLP Expert - Custom LLM Development (x/f/m)

@ HelloBetter | Remote

Doctoral Researcher (m/f/div) in Automated Processing of Bioimages

@ Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI) | Jena

Seeking Developers and Engineers for AI T-Shirt Generator Project

@ Chevon Hicks | Remote

Senior Applied Data Scientist

@ dunnhumby | London

Principal Data Architect - Azure & Big Data

@ MGM Resorts International | Home Office - US, NV