Useful links

Academia

• The Efforless Academic
• Awesome tips
• Collection of advice for prospective and current PhD students by Paul Liang
• "Some resources I have found helpful" - Leena Mathur
• Calendar. Not to-do lists.
• Check journal copyrights - Sherma Romeo
• Collections related to paper writing, publications, etc. by Professor Cornelia Caragea
• Poster
  • Better Poster by Mike Morrison
  • https://github.com/zhoubolei/bolei_awesome_posters
  • https://www.makesigns.com/SciPosters_Templates.aspx
• Consensus - AI Search Engine for Research
• Scholarcy - AI-powered summariser
• Peer review in NLP: reject-if-not-SOTA
• HOW TO BE A GOOD REVIEWER? REVIEWER TUTORIAL FOR ECCV 2024
• How to Get a Paper Accepted -- Comments by Kent Beck

Upcoming conferences

• Computer Science conferences timeline (lucjaulmes.github.io)
• AI Conference Deadlines (aideadlin.es)
• Upcoming Conferences – ACM SIGCHI
• AAAI Association for the Advancement of Artificial Intelligence
• Conferences | IEEE SWC2023 (ieee-smart-world-congress.org)

Deep learning

General

• What should I do when my neural network doesn't learn?
• What should I do when my neural network doesn't generalize well?
• Understanding 1D, 2D and 3D Convolution Network
• How to use Learning Curves to Diagnose Machine Learning Model Performance
• Animated RNN, LSTM and GRU
• PyTorch implementation of several common architectures by Lorna
• Generative AI Glossary - AIPRM

Book

• Dive into Deep Learning
• Understanding Deep Learning
• Deep Learning
• Understanding Machine Learning: From Theory to Algorithms
• Statistics and Data Science

PyTorch

Liightning

• A good overview
• Debugging basic

Semi-supervised learning

• Definition and commond algorithms in plain language
• An overview of proxy-label approaches for semi-supervised learning

Natural language processing

• NLP Progress
• The Annotated Transformer
• A Visual Guide to Using BERT for the First Time
• The Illustrated BERT, ELMo, and co. (How NLP Cracked Transfer Learning)
• Paper Dissected: “BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding” Explained
• The Illustrated Word2vec
• The Illustrated Transformer
• Transformer Neural Networks - EXPLAINED! (Attention is all you need)
• What is Transformer?
• Pooling Strategies for Downstream Tasks - Utilizing Transformer Representations Efficiently
• Free LLM API Resources

Physics-informed machine learning

• Basic definition and background -- PNNL
• https://github.com/thunil/Physics-Based-Deep-Learning
• https://www.physicsbaseddeeplearning.org/intro.html

Online Courses

• GitHub: awesome
  • Awesome CS Courses
• MIT OpenCourseWare

Career

• https://interviewsby.ai/

Researcher's website I like to visit time to time

• https://jkk.name/
• https://nchuramani.github.io/
• https://salman-h-khan.github.io/
• http://www.cs.cmu.edu/~pliang/
• https://l-mathur.github.io/
• https://jonbarron.info/

Others

Photo - remove current background and use a different one

• Adobe Photoshop: straightforward with generative AI prompting As I wanted to use another picture's background, I removed subject while keeping the background and filling the gap with generative AI. After placing the subject on the new background, one important factor to make the editing smooth is matching colour exposures. This YT tutorial shows how to blend the subject and background.
• Retoucher: There are a varieties of background options (can new background be uploaded as well), have different size options for downloading. No sign-up required for the first three downloads.
• fotor: Preview (lower quality) can be downloaded w/o sign up. Have similar others features as above.