Practical overview
When it fits
Use Arxivtimes when you want a community-organized starting point for machine-learning papers, conference groupings and related research resources.
Who it is for
- Readers looking for concise summaries of machine-learning papers.
- Researchers tracking papers associated with listed conferences.
- Contributors who want to submit a paper summary or discuss a paper in an Issue.
Documented uses
- Scan short summaries to identify papers for further reading.
- Browse papers grouped by conference and year.
- Find linked collections of machine-learning datasets and implementation tools.
- Submit a paper record and discuss or request review of its summary.
Requirements & limits
The repository is public and licensed under MIT.
- Paper summaries, datasets and tools are organized as separate repository sections.
- Conference groupings are available for NIPS, ICLR, ICML, CVPR, ACL and AAAI.
- Contributing uses GitHub Issues and the repository’s Issue template; broader content changes are directed through pull requests.
Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.
Submit a machine-learning paper summary
Add a paper summary to the arXivTimes repository using its Issue-based contribution process.
Before you start
- A GitHub account with permission to create an Issue in the repository.
- The paper title, paper link, authors and affiliations, and submission date.
Steps
Create an Issue in the repository for the paper.
Use the paper title as the Issue title and follow the Issue template.
Include a concise summary, the paper link, authors and affiliations, and the submission date in yyyy/MM/dd format; include the conference name and year if applicable.
If adding more detail, assign yourself to the Issue. Add comments with reading notes or questions, and report conference acceptance in a comment.
Expected outcome
The paper summary is recorded as an Issue and can be reflected in a conference project if its acceptance is reported.
Guide limitations
- The README says labels are currently assigned only by contributors; submitters may request them but cannot apply them directly.
- The repository provides a process for submitting summaries, not a guarantee of review or acceptance.
Sources & review
Source record details
- Source availability
- Active
- Sources checked
- 16 October 2026
- Original website title
- arXivTimes/arXivTimes · Official homepage title · retained in its source language