Hari Thapliyaal

Hari Thapliyal is a vivid blogger on various subjects including Data Science, AI, Machine Learning, Project Management, Process Automation, PMO, Advait-Vedanta Philosophy, and Indian Culture. He has Master’s degrees in Computers, Business Management, Data Science, and Economics. He is pursuing his Doctorate in AI (NLP) from the Swiss School of Business Management (Geneva, Switzerland). Hari has around 3 decades of experience in management & leadership, training, consulting, and coaching in technology. 16+ years in all phases of software product development. 10+ years in course design, training, coaching, and consulting on Project Management. 3+ years experience in course development, exploring, experimenting, training, coaching, and mentoring hundreds of professionals in Data Science, AI, CV, NLP, complex machine learning algorithms, statistical modeling, identifying patterns, and extracting valuable insights. He has diverse experience in planning & executing multiple projects and liaising with key stakeholders to identify & resolve business problems and deliver excellent results. In his spare time, he loves to track long-distance, meditate in some secluded place or in nature.

Important AI Research Papers

By this time there are thousands, if not millions, papers in AI and related technologies but I found following papers of specific interest for any serious Data Scientist.

  1. A Comprehensive Survey on Graph Neural Networks-PAPER.pdf
  2. A Selective Overview of Deep Learning-PAPER.pdf
  3. A Short introduction to boosting-PAPER.pdf
  4. A Survey of the State of Explainable AI for NLP-PAPER.pdf
  5. A Survey on Explainable AI (XAI) towards Medical XAI-PAPER.pdf
  6. AI and Ethics - Operationalising Responsible AI-PAPER.pdf
  7. Analyzing The Expressive Power of Graph Neural Network in a Spectral Perspective-PAPER.pdf
  8. Challenges in Deploying Machine Learning-PAPER.pdf
  9. Clinical AI quality improvement-PAPER.pdf
  10. DataGovernance-A conceptual framework, structured review-PAPER.pdf
  11. Detailed human avatar-PAPER.pdf
  12. DRIFT_26_CameraReadySubmission_NeurIPS_DRL-PAPER.pdf
  13. Dynamic Routing Between Capsules-PAPER.pdf
  14. Fairness in Machine Learning A Survey-PAPER.pdf
  15. Forecasting COVID-19 Confirmed Cases-PAPER.pdf
  16. Generalization Beyond Overfitting On Small Datasets-PAPER.pdf
  17. GraphMachine Learning NeurIPS 2020-PAPER.pdf
  18. Grouped Convolutional Neural Networks for Multivariate Time Series -PAPER.pdf
  19. Grouped functional time series forecasting An application to age-specific mortality rates-PAPER.pdf
  20. Hidden Technical Debt in Machine Learning Systems-PAPER.pdf
  21. Hidden technical debt in machine learning systems.pdf
  22. How to avoid machine learning pitfalls-PAPER.pdf
  23. How to Read a Paper-ARTC.pdf
  24. Identifying machine learning techniques for classification of target advertising-PAPER.pdf
  25. Large Object Storage in a Database or a Filesystem-PAPER.pdf
  26. Learning Graph Heuristic Search-PAPER.pdf
  27. Learning latent causal graphs via mixture oracles-PAPER.pdf
  28. LightGBM A Highly Efficient Gradient Boosting-PAPER.pdf
  29. Machine Learning within a Graph Database- A Case Study on Link Prediction for Scholarly Data-PAPER.pdf
  30. Merlion- A Machine Learning Library for Time Series-PAPER.pdf
  31. NeuralProphet-Explainable Forecasting at Scale-PAPER.pdf
  32. PAVE-Lazy-MDP based Ensemble to Improve Recall of Product Attribute Extraction Models-PAPER.pdf
  33. Randomforest-PAPER.pdf
  34. Receptive Fields of Single Neurones in the Cats Striate Cortex-PAPER.pdf
  35. Robotics, AI, and Humanity Science-PAPERS.pdf
  36. Scalable Linear Algebra on a Relational Database System-PAPER.pdf
  37. Scaling Large Production Clusters-PAPER.pdf
  38. Skillful writing of an awful research paper-GUIDE.pdf
  39. The Modern Mathematics of Deep Learning-PAPER.pdf
  40. Towards Demystifying Serverless Machine Learning Training-PAPER.pdf
  41. Triple-View Feature Learning for Medical Image Segmentation-PAPER.pdf
  42. Understanding Diffusion Models- A Unified Perspective-PAPER.pdf
  43. Very Deep Convolutional Networks for Large Scale Image Recognition-PAPER.pdf
  44. XGBoost A Scalable Tree Boosting System-PAPER.pdf
  45. XGBoost Reliable Large-scale Tree Boosting System-PAPER.pdf