AI/DL/ML/NLP/CV Conference Cheatsheet + Publishing Tips

The Go-To Choice 2021 for Finding Conferences

• See Research.com
  • Shows conference ranking, deadline, location, date, and other important conference-related info in a very organized manner.

Conference Ranking/Reputation

General

• See Computer Science Conference Rankings
  • A little outdated list of conference tiers. But covers all fields of Computer Science.
• See Computer Science Conference(Journal) Rank: - AMiner
  • A modern version of the one above. A general ranking tool with explanations on how the rankings are made.
  • In truth, I'd rather use google scholar metrics.

AI/DL/ML Conferences

• Read Artificial Intelligence - Google Scholar Metrics
  • NeurIPS, ICML, ICLR are the kings when it comes to theoretical Deep Learning/Machine Learning. See no other venue.
  • ICLR has not been around for very long but really made its mark over the last few years.
  • Whereas AAAI and IJCNLP take a wider perspective on Artificial Intelligence, including application papers. Their Interested topics could include NLP and CV.

CV Conferences

• Read Top 6 Computer Vision Conferences - Deepomatic
  • This article is mostly it for those in CV. But it lacks detail.
• Read Do "mainstream" computer vision people ignore the papers that are not published in CVPR/ECCV/ICCV? Do these papers have zero value to the community?
  • Read Dr. Zeeshan Zia's answer. Shows why you need to publish at an important, popular, and top-ranked venue.

NLP Conferences

• Read The Top 10 NLP Conferences | jungle light speed
  • Written by Dr. Robert Munro Monarch, a quite known expert in Computational Linguistics.
  • Even though the famous article is a little harsh to some good NLP workshops, it serves as a good introduction to the newcomers.
• See Computational Linguistics - Google Scholar Metrics
  • For those who prefer simplistic quantitative ranking 1.
  • I'd say all those in top 20 are good venues for publications.
  • As statistics show, solid workshops like SemEval (International Workshop on Semantic Evaluation), WMT (Workshop on Machine Translation), BEA (Workshop on Innovative Use of NLP for Building Educational Applications) are much better than other crappy conferences.
• See ACL Anthology
  • Sometimes the organizers know the best. It is safe to say that all events listed separatedly under "ACL Events" carry some significance within the NLP community.

Conference Deadlines

• See AI Conference Deadlines
  • Helped a lot in my research career. The website lacks showing the conferences that are further away.
  • But it is a powerful tool when searching for those last-minut upcoming deadlines.

Creating Figures

Choosing Figure Colors

• Read Choosing color palettes for scientific figures
  • This is a journal paper published in RPTH journal, by Wiley. Gives a good introduction to choosing colors using color wheel, a skill that can be used right away.

Make MatPlotLib Figures Look Better

• Read How to make matplotlib graphs look professionally done like this?
  • The long answer by DrV captures it all.
  • The quick trick would be to use the MatPlotLib style sheets
  • Or simply use Seaborn instead of MatPlotLib

Package an Open-Source Project for Publication

• Read How to Build Your Very First Python Package - freeCodeCamp
  • It's always a great idea to use packaging, for a greater impact of the developed research program.

Useful Techniques

NLP

• Data augmentation, to increase number of datapoints by automatically inserting similar but new items.
  • NLPaug seems useful for tackling this job.
  • A Survey of Data Augmentation Approaches for NLP does a great introduction to the newcomers.

Writing a Solid Paper

General

• In fact, reviewers, authors, and readers must read this splendid reviewer guideline.