What is machine learning research paper?
- Abstract: An overview/summary of the paper's main findings/contributions.
- Introduction: What's the paper's main problem and details of previous methods used to try and solve it.
- Method: How did the researchers go about conducting their research? For example, what model(s), data sources, training setups were used?
- Results: What are the outcomes of the paper? If a new type of model or training setup was used, how did the results of findings compare to previous works? (this is where experiment tracking comes in handy)
- Conclusion: What are the limitations of the suggested methods? What are some next steps for research community?
- References: What resources/other papers did the researchers look at to build their own body of work?
- Appendix: Are there any extra resources/findings to look at that weren't included in any of the above sections?