This is my personal data science read list. Searching thru tabs for content that I've read before is a bit annoying so enjoy.
- Attention? Attention! (24 Jun 2018)
- Convolutional Neural Networks on Tabular Datasets (29 Apr 2021)
- Google Research: Themes from 2021 and Beyond (11 Jan 2022)
- The Physics of Energy-Based Models (28 Jun 2021)
- Why You Should Use Bayesian Neural Network (16 Oct 2021)
- 8 Terms You Should Know about Bayesian Neural Network (28 Oct 2021)
- On Embeddings for Numerical Features in Tabular Deep Learning (15 Mar 2022)
- Tabular data: Deep Learning is not all you need (23 Nov 2021)
- A Practical Survey on Faster and Lighter Transformers (26 Mar 2021)
- A Tutorial on Energy-Based Learning (19 Aug 2006)
- A Survey on Deep Semi-supervised Learning (23 Aug 2021)
- A Survey on Programmatic Weak Supervision (14 Feb 2022)
- Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better (21 Jun 2021)
- Graph Neural Networks: A Review of Methods and Applications (20 Dec 2018)
- Hands-on Bayesian Neural Networks – A Tutorial for Deep Learning Users (3 Jan 2022)
- Learning from Noisy Labels with Deep Neural Network: A Survey (10 Nov 2021)
- Machine Learning for Fraud Detection in E-Commerce: A Research Agenda (5 Jul 2021)
- The NLP Cookbook: Modern Recipes for Transformer based Deep Learning Architectures (23 Mar 2021)
- A Novel Technique for Long-Term Anomaly Detection in the Cloud (Twitter)
- Anomaly Detection for an E-Commerce Pricing System (1 Jun 2019)
- CANINE: Pre-training an Efficient Tokenization-Free Encoder for Language Representation (11 Mar 2021)
- DivideMix: Learning with Noisy Labels as Semi-supervised Learning (18 Feb 2020)
- Frustratingly Simple Pretraining Alternatives to Masked Language Modeling (4 Sep 2021)
- Pay Attention to MLPs (1 Jun 2021)
- Predictive Uncertainty Estimation via Prior Networks (29 Nov 2018)
- PromptBERT: Improving BERT Sentence Embeddings with Prompts (12 Jan 2022)
- Robust Semi-Supervised Learning through Label Aggregation
- Self-Training with Weak Supervision (12 Apr 2021)
- Semi-Supervised Text Classification via Self-Pretraining (8 Mar 2021)
- TabNet: Attentive Interpretable Tabular Learning
- TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning (10 Sep 2021)
- VOS: Learning what you don't know via Virtual Outlier Synthesis (4 Feb 2022)
- Deep learning metric using Triplet Network (4 Dec 2018)
- Hidden Technical Debt in Machine Learning Systems (2015)
- Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning (11 Nov 2020)
- Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities (30 Mar 2021)
- Self-Normalizing Neural Networks (7 Sep 2017)