Miscellaneous
Useful Links
Institutional
Research & Publications
- The Effortless 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 - Sherpa Romeo
- Collections related to paper writing, publications, etc. by Professor Cornelia Caragea
- Poster
- 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
- Hacking Academia – Professor Michael Milford
- Some Common Mathematical Symbols and Abbreviations (with History) – UC Davis
- Advice by Jonathan K. Kummerfeld
- Advice collection by Shaily Bhatt
- Advice for students by Shomir Wilson
- Awesome PhD resources
- Lessons from my PhD – Austin Henley
- Notes for aspiring academics – Shashank Srikant
- Reflections on my Machine Learning PhD Journey – Maithra Raghu
- IEEE Editorial Style Manual for Authors
Upcoming Conferences
- Computer Science conferences timeline
- AI Conference Deadlines - Nuno Ferreira Duarte
- AI Conference Deadlines (aideadlines.org)
- China Computer Federation (CCF)-Ranked Conference Deadlines
- AI Conference Deadlines (aideadlin.es) — Seems to be dead as of Feb 2025
- Upcoming Conferences – ACM SIGCHI
- AAAI Association for the Advancement of Artificial Intelligence
- Conferences - IEEE SWC2023
Teaching - LMS
Blackboard
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
- Dive into Deep Learning
- Understanding Deep Learning
- Deep Learning (Goodfellow, Bengio, Courville)
- Understanding Machine Learning: From Theory to Algorithms
Probability and Statistics
Effect Size and/or P-value
- Make a difference: the alternative for p-values - Joachim Goedhart
- Computation of Effect Sizes - Psychometrica
- Rules of thumb on magnitudes of effect sizes - University of Cambridge
- Effect size by Steve Draper, Department of Psychology, University of Glasgow
Semi-supervised Learning
- Definition and common 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
PyTorch Lightning
Online Courses
Career
Researcher’s Websites I Like to Visit
- Michael Milford
- Tim Baldwin
- Jonathan K. Kummerfeld
- Salman Khan
- Paul Liang
- David Stutz
- Sanghyuk Chun
- Jon Barron
- Nikhil Churamani
- Leena Mathur
Miscellanea
Photo - Remove Background
- Adobe Photoshop: Straightforward with generative AI prompting. To use another picture’s background, remove the subject while keeping the background and fill the gap with generative AI. After placing the subject on the new background, match colour exposures to make the editing smooth.
- Retoucher: Variety of background options, different size options for downloading. No sign-up required for the first three downloads.
- Fotor: Preview (lower quality) can be downloaded without sign up. Has similar features as above.
Find me on
Google Scholar | ResearchGate | Semantic Scholar | ORCID | LinkedIn | GitHub | X (Twitter)