applied-ml-extended

A small list of 811 applied ml papers/blog posts, collected from:

Eugene Yan applied-ml curated list.
Evidently AI ml system design curated list.
Manual search over arXiv to include more papers.

+ Extremely simple progress update with random recommendation, for personal use.

❌ need to read the paper/blog post
✅ have read the paper/blog post

Replace ❌ when ✅ when needed, and run

python update_readme.py -f README.md

To update the progress and paper recommendation.

Note:
Exact Duplicates were removed but there may be some remaining duplicates.

Recommended Paper
How to Optimise Rankings with Cascade Bandits Expedia 2022

Progress
Data Quality: 0% (0/8), recommendation: An Approach to Data Quality for Netflix Personalization Systems Netflix 2020
Data Engineering: 7% (1/14), recommendation: How DoorDash is Scaling its Data Platform to Delight Customers and Meet Growing Demand DoorDash 2020
Data Discovery: 0% (0/17), recommendation: Amundsen: One Year Later Lyft 2020
Feature Stores: 5% (1/21), recommendation: Developing scalable feature engineering DAGs Metaflow + Hamilton via Outerbounds 2022
Classification: 0% (0/30), recommendation: Teaching Machines to Triage Firefox Bugs Mozilla 2019
Regression: 14% (3/21), recommendation: Predicting Food Delivery Time at Cart Swiggy 2023
Forecasting: 3% (1/33), recommendation: Instacart’s Item Availability Architecture: Solving for scale and consistency Instacart 2023
Recommendation: 0% (0/160), recommendation: Nightingale: Scalable Daily Sales Email Sending Decision Model Wayfair 2022
Search & Ranking: 1% (1/99), recommendation: AI at Scale in Bing Microsoft 2020
Embeddings: 0% (0/19), recommendation: Multi-objective Hyper-parameter Optimization of Behavioral Song Embeddings (Paper) Apple 2022
Natural Language Processing: 0% (0/58), recommendation: Toward a full-scale neural machine translation in production: the Booking.com use case
Sequence Modelling: 0% (0/11), recommendation: Using deep learning to detect abusive sequences of member activity (Video) LinkedIn 2021
Computer Vision: 0% (0/42), recommendation: A Neural Weather Model for Eight-Hour Precipitation Forecasting (Paper) Google 2020
Reinforcement Learning: 0% (0/12), recommendation: Building AI Trading Systems Denny Britz 2020
Anomaly Detection: 5% (1/20), recommendation: Fighting fraud with Triplet Loss OLX Group 2020
Graph: 0% (0/16), recommendation: Traffic Prediction with Advanced Graph Neural Networks DeepMind 2020
Optimization: 0% (0/53), recommendation: Automated detection, diagnosis & remediation of app failure Capital One 2021
Information Extraction: 0% (0/14), recommendation: One-shot Text Labeling using Attention and Belief Propagation for Information Extraction (Paper) Alibaba 2020
Weak Supervision: 0% (0/4), recommendation: Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale (Paper) Google 2019
Generation: 0% (0/20), recommendation: From idea to reality: Elevating our customer support through generative AI Vimeo 2023
Audio: 0% (0/4), recommendation: Voice Reorder Experience: add Multiple Product Items to your shopping cart Walmart 2022
Privacy-Preserving Machine Learning: 0% (0/7), recommendation: LinkedIn Salary: A System for Secure Collection and Presentation of Structured Compensation Insights to Job Seekers
Validation and A/B Testing: 0% (0/52), recommendation: The 4 Principles DoorDash Used to Increase Its Logistics Experiment Capacity by 1000% DoorDash 2021
Model Management: 0% (0/7), recommendation: Managing ML Models @ Scale - Intuit’s ML Platform Intuit 2020
Efficiency: 0% (0/3), recommendation: GrokNet: Unified Computer Vision Model Trunk and Embeddings For Commerce (Paper) Facebook 2020
Ethics: 0% (0/7), recommendation: Introducing Twitter’s first algorithmic bias bounty challenge Twitter 2021
Infra: 0% (0/2), recommendation: Reengineering Facebook AI’s Deep Learning Platforms for Interoperability Facebook 2020
MLOps Platforms: 0% (0/27), recommendation: Evolution of ML Fact Store Netflix 2022
Practices: 25% (5/20), recommendation: Machine Learning: The High Interest Credit Card of Technical Debt (Paper) (Paper) Google 2014
Team Structure: 11% (1/9), recommendation: A Behind-the-Scenes Look at How Postman’s Data Team Works Postman 2021
Fails: 71% (5/7), recommendation: A British AI Tool to Predict Violent Crime Is Too Flawed to Use United Kingdom 2020

Table of Contents

Data Quality
Data Engineering
Data Discovery
Feature Stores
Classification
Regression
Forecasting
Recommendation
Search & Ranking
Embeddings
Natural Language Processing
Sequence Modelling
Computer Vision
Reinforcement Learning
Anomaly Detection
Graph
Optimization
Information Extraction
Weak Supervision
Generation
Audio
Privacy-Preserving Machine Learning
Validation and A/B Testing
Model Management
Efficiency
Ethics
Infra
MLOps Platforms
Practices
Team Structure
Fails

Data Quality

❌ Reliable and Scalable Data Ingestion at Airbnb Airbnb 2016
❌ Monitoring Data Quality at Scale with Statistical Modeling Uber 2017
❌ Data Management Challenges in Production Machine Learning (Paper) Google 2017
❌ Automating Large-Scale Data Quality Verification (Paper)Amazon 2018
❌ Meet Hodor — Gojek’s Upstream Data Quality Tool Gojek 2019
❌ Data Validation for Machine Learning (Paper) Google 2019
❌ An Approach to Data Quality for Netflix Personalization Systems Netflix 2020
❌ Improving Accuracy By Certainty Estimation of Human Decisions, Labels, and Raters (Paper) Facebook 2020

Data Engineering

❌ Zipline: Airbnb’s Machine Learning Data Management Platform Airbnb 2018
❌ Sputnik: Airbnb’s Apache Spark Framework for Data Engineering Airbnb 2020
❌ Unbundling Data Science Workflows with Metaflow and AWS Step Functions Netflix 2020
❌ How DoorDash is Scaling its Data Platform to Delight Customers and Meet Growing Demand DoorDash 2020
✅ Revolutionizing Money Movements at Scale with Strong Data Consistency Uber 2020
❌ Zipline - A Declarative Feature Engineering Framework Airbnb 2020
❌ Automating Data Protection at Scale, Part 1 (Part 2) Airbnb 2021
❌ Real-time Data Infrastructure at Uber Uber 2021
❌ Introducing Fabricator: A Declarative Feature Engineering Framework DoorDash 2022
❌ Functions & DAGs: introducing Hamilton, a microframework for dataframe generation Stitch Fix 2021
❌ Optimizing Pinterest’s Data Ingestion Stack: Findings and Learnings Pinterest 2022
❌ Lessons Learned From Running Apache Airflow at Scale Shopify 2022
❌ Data Mesh — A Data Movement and Processing Platform @ Netflix Netflix 2022
❌ Building Scalable Real Time Event Processing with Kafka and Flink DoorDash 2022

Data Discovery

❌ Apache Atlas: Data Goverance and Metadata Framework for Hadoop (Code) Apache
❌ Collect, Aggregate, and Visualize a Data Ecosystem's Metadata (Code) WeWork
❌ Discovery and Consumption of Analytics Data at Twitter Twitter 2016
❌ Democratizing Data at Airbnb Airbnb 2017
❌ Databook: Turning Big Data into Knowledge with Metadata at Uber Uber 2018
❌ Metacat: Making Big Data Discoverable and Meaningful at Netflix (Code) Netflix 2018
❌ Amundsen — Lyft’s Data Discovery & Metadata Engine Lyft 2019
❌ Open Sourcing Amundsen: A Data Discovery And Metadata Platform (Code) Lyft 2019
❌ DataHub: A Generalized Metadata Search & Discovery Tool (Code) LinkedIn 2019
❌ Amundsen: One Year Later Lyft 2020
❌ Using Amundsen to Support User Privacy via Metadata Collection at Square Square 2020
❌ Turning Metadata Into Insights with Databook Uber 2020
❌ DataHub: Popular Metadata Architectures Explained LinkedIn 2020
❌ How We Improved Data Discovery for Data Scientists at Spotify Spotify 2020
❌ How We’re Solving Data Discovery Challenges at Shopify Shopify 2020
❌ Nemo: Data discovery at Facebook Facebook 2020
❌ Exploring Data @ Netflix (Code) Netflix 2021

Feature Stores

❌ Distributed Time Travel for Feature Generation Netflix 2016
❌ Building the Activity Graph, Part 2 (Feature Storage Section) LinkedIn 2017
❌ Fact Store at Scale for Netflix Recommendations Netflix 2018
❌ Feature Store: The missing data layer for Machine Learning pipelines? Hopsworks 2018
❌ Introducing Feast: An Open Source Feature Store for Machine Learning (Code) Gojek 2019
❌ Michelangelo Palette: A Feature Engineering Platform at Uber Uber 2019
❌ The Architecture That Powers Twitter's Feature Store Twitter 2019
❌ Accelerating Machine Learning with the Feature Store Service Condé Nast 2019
❌ Feast: Bridging ML Models and Data Gojek 2020
❌ Building a Scalable ML Feature Store with Redis, Binary Serialization, and Compression DoorDash 2020
❌ Rapid Experimentation Through Standardization: Typed AI features for LinkedIn’s Feed LinkedIn 2020
❌ Building a Feature Store Monzo Bank 2020
❌ Butterfree: A Spark-based Framework for Feature Store Building (Code) QuintoAndar 2020
❌ Building Riviera: A Declarative Real-Time Feature Engineering Framework DoorDash 2021
✅ Optimal Feature Discovery: Better, Leaner Machine Learning Models Through Information Theory Uber 2021
❌ ML Feature Serving Infrastructure at Lyft Lyft 2021
❌ Near real-time features for near real-time personalization LinkedIn 2022
❌ Building the Model Behind DoorDash’s Expansive Merchant Selection DoorDash 2022
❌ Open sourcing Feathr – LinkedIn’s feature store for productive machine learning LinkedIn 2022
❌ Developing scalable feature engineering DAGs Metaflow + Hamilton via Outerbounds 2022
❌ Feature Store Design at Constructor Constructor.io 2023

Classification

❌ Prediction of Advertiser Churn for Google AdWords (Paper) Google 2010
❌ High-Precision Phrase-Based Document Classification on a Modern Scale (Paper) LinkedIn 2011
❌ Chimera: Large-scale Classification using Machine Learning, Rules, and Crowdsourcing (Paper) Walmart 2014
❌ Large-scale Item Categorization in e-Commerce Using Multiple Recurrent Neural Networks (Paper) NAVER 2016
❌ Learning to Diagnose with LSTM Recurrent Neural Networks (Paper) Google 2017
❌ Discovering and Classifying In-app Message Intent at Airbnb Airbnb 2019
❌ Teaching Machines to Triage Firefox Bugs Mozilla 2019
❌ How We Built the Good First Issues Feature GitHub 2020
❌ Using ML to Subtype Patients Receiving Digital Mental Health Interventions (Paper) Microsoft 2020
❌ Scalable Data Classification for Security and Privacy (Paper) Facebook 2020
❌ Uncovering Online Delivery Menu Best Practices with Machine Learning DoorDash 2020
❌ Using a Human-in-the-Loop to Overcome the Cold Start Problem in Menu Item Tagging DoorDash 2020
❌ Deep Learning: Product Categorization and Shelving Walmart 2021
❌ Large-scale Item Categorization for e-Commerce (Paper) DianPing, eBay 2012
❌ Semantic Label Representation with an Application on Multimodal Product Categorization Walmart 2022
❌ Building Airbnb Categories with ML and Human-in-the-Loop Airbnb 2022
❌ Scaling Up LLM Reviews for Google Ads Content Moderation
❌ Learning to Learn to Predict Performance Regressions in Production at Meta
❌ Categorizing User Sessions at Pinterest
❌ PBODL : Parallel Bayesian Online Deep Learning for Click-Through Rate Prediction in Tencent Advertising System
❌ Large Scale Long-tailed Product Recognition System at Alibaba
❌ Large-Scale Training System for 100-Million Classification at Alibaba
❌ Extreme Classification in Log Memory using Count-Min Sketch: A Case Study of Amazon Search with 50M Products
❌ Presenting Precog, Nubank’s Real Time Event AI Nubank 2023
❌ Classifying restaurant cuisines with subjective labels Foodpanda 2022
❌ How We Built a (Mostly) Automated System to Solve Credit Card Merchant Classification Brex 2021
❌ From RGB to Descriptive Color Names: Wayfair's in-house color algorithms to improve customer shopping experience. Wayfair 2021
❌ Email Classification Slack 2021
❌ Categorizing user-uploaded documents Scribd 2021
❌ Categorizing Products at Scale Shopify 2020

Regression

✅ Using Machine Learning to Predict Value of Homes On Airbnb Airbnb 2017
✅ Using Machine Learning to Predict the Value of Ad Requests Twitter 2020
❌ Open-Sourcing Riskquant, a Library for Quantifying Risk (Code) Netflix 2020
❌ Solving for Unobserved Data in a Regression Model Using a Simple Data Adjustment DoorDash 2020
❌ A ML based approach to proactive advertiser churn prevention Pinterest 2023
❌ Lifecycle of a Successful ML Product: Reducing Dasher Wait Times DoorDash 2023
❌ Delivery-Date Prediction Wayfair 2023
❌ How DoorDash Upgraded a Heuristic with ML to Save Thousands of Canceled Orders DoorDash 2023
❌ Expedia Group’s Customer Lifetime Value Prediction Model Expedia 2023
❌ Where is my order? — Part I Swiggy 2023
❌ Predicting Food Delivery Time at Cart Swiggy 2023
❌ How ML Powers — When is my order coming? — Part II Swiggy 2023
❌ Machine Learning for Delivery Time Estimation OLX 2023
❌ Using Data Science to Retain Customers Gousto 2022
❌ Sales Pipeline Management with Machine Learning: A Lightweight Two-Layer Ensemble Classifier Framework PayPal 2022
❌ How We Estimate Food Debarkation Time With 'Tensoba' medium Gojek 2022
❌ The journey to build an explainable AI-driven recommendation system Linkedin 2022
❌ Identifying High-Intent Buyers Zillow 2022
❌ Cross-Selling Optimization Using Deep Learning PayPal 2021
✅ Optimal drop times using machine learning Picnic 2020
❌ Using Machine Learning to Determine Contact Accuracy Scores Zoominfo 2019

Forecasting

❌ Engineering Extreme Event Forecasting at Uber with RNN Uber 2017
❌ Forecasting at Uber: An Introduction Uber 2018
❌ Transforming Financial Forecasting with Data Science and Machine Learning at Uber Uber 2018
❌ Under the Hood of Gojek’s Automated Forecasting Tool Gojek 2019
❌ BusTr: Predicting Bus Travel Times from Real-Time Traffic (Paper, Video) Google 2020
❌ Retraining Machine Learning Models in the Wake of COVID-19 DoorDash 2020
❌ Automatic Forecasting using Prophet, Databricks, Delta Lake and MLflow (Paper, Code) Atlassian 2020
❌ Introducing Orbit, An Open Source Package for Time Series Inference and Forecasting (Paper, Video, Code) Uber 2021
❌ Greykite: A flexible, intuitive, and fast forecasting library LinkedIn 2021
❌ The history of Amazon’s forecasting algorithm Amazon 2021
❌ DeepETA: How Uber Predicts Arrival Times Using Deep Learning Uber 2022
❌ Forecasting Grubhub Order Volume At Scale Grubhub 2022
❌ Characterizing and Forecasting User Engagement with In-app Action Graph: A Case Study of Snapchat
❌ From Known to Unknown: Knowledge-guided Transformer for Time-Series Sales Forecasting in Alibaba
❌ Greykite: Deploying Flexible Forecasting at Scale at LinkedIn
❌ Demand and ETR Forecasting at Airports Uber 2023
❌ Deep Learning based Forecasting: a case study from the online fashion industry Zalando 2023
❌ How Wayfair uses “Predicted Winners” Models to Accelerate Success for New Products Wayfair 2023
❌ How Instacart Modernized the Prediction of Real Time Availability for Hundreds of Millions of Items While Saving Costs Instacart 2023
❌ How DoorDash Built an Ensemble Learning Model for Time Series Forecasting Doordash 2023
❌ How DoorDash Improves Holiday Predictions via Cascade ML Approach Doordash 2023
❌ How Instacart’s Item Availability Evolved Over the Pandemic Instacart 2023
❌ Instacart’s Item Availability Architecture: Solving for scale and consistency Instacart 2023
❌ Forecasting something that never happened: how we estimated past promotions profitability Artefact 2022
❌ Causal Forecasting at Lyft (Part 1) Lyft 2022
❌ Causal Forecasting at Lyft (Part 2) Lyft 2022
❌ “I See Tacos In Your Future”: Order Volume Forecasting at Grubhub Grubhub 2021
❌ Managing Supply and Demand Balance Through Machine Learning Doordash 2021
❌ Finding the sweet spot Ocado 2021
❌ Marketplace Forecasting: Sales or Demand? Why not both? Let’s find out! Mercado Libre 2021
✅ Modeling the unseen Instacart 2019
❌ Making cohort-based long-term forecasts at Lyft Lyft 2019
❌ Predicting the real-time availability of 200 million grocery items Instacart 2018

Recommendation

Search & Ranking

❌ Amazon Search: The Joy of Ranking Products (Paper, Video, Code) Amazon 2016
❌ How Lazada Ranks Products to Improve Customer Experience and Conversion Lazada 2016
❌ Ranking Relevance in Yahoo Search (Paper) Yahoo 2016
❌ Learning to Rank Personalized Search Results in Professional Networks (Paper) LinkedIn 2016
❌ Using Deep Learning at Scale in Twitter’s Timelines Twitter 2017
❌ An Ensemble-based Approach to Click-Through Rate Prediction for Promoted Listings at Etsy (Paper) Etsy 2017
❌ Powering Search & Recommendations at DoorDash DoorDash 2017
❌ In-session Personalization for Talent Search (Paper) LinkedIn 2018
❌ Food Discovery with Uber Eats: Building a Query Understanding Engine Uber 2018
❌ Globally Optimized Mutual Influence Aware Ranking in E-Commerce Search (Paper) Alibaba 2018
❌ Semantic Product Search (Paper) Amazon 2019
❌ Machine Learning-Powered Search Ranking of Airbnb Experiences Airbnb 2019
❌ Entity Personalized Talent Search Models with Tree Interaction Features (Paper) LinkedIn 2019
❌ The AI Behind LinkedIn Recruiter Search and recommendation systems LinkedIn 2019
❌ Learning Hiring Preferences: The AI Behind LinkedIn Jobs LinkedIn 2019
❌ Neural Code Search: ML-based Code Search Using Natural Language Queries Facebook 2019
❌ Aggregating Search Results from Heterogeneous Sources via Reinforcement Learning (Paper) Alibaba 2019
❌ Cross-domain Attention Network with Wasserstein Regularizers for E-commerce Search Alibaba 2019
❌ Understanding Searches Better Than Ever Before (Paper) Google 2019
❌ How We Used Semantic Search to Make Our Search 10x Smarter Tokopedia 2019
❌ Query2vec: Search query expansion with query embeddings GrubHub 2019
❌ MOBIUS: Towards the Next Generation of Query-Ad Matching in Baidu’s Sponsored Search Baidu 2019
❌ Why Do People Buy Seemingly Irrelevant Items in Voice Product Search? (Paper) Amazon 2020
❌ Managing Diversity in Airbnb Search (Paper) Airbnb 2020
❌ Improving Deep Learning for Airbnb Search (Paper) Airbnb 2020
❌ Quality Matches Via Personalized AI for Hirer and Seeker Preferences LinkedIn 2020
❌ Understanding Dwell Time to Improve LinkedIn Feed Ranking LinkedIn 2020
❌ Ads Allocation in Feed via Constrained Optimization (Paper, Video) LinkedIn 2020
❌ AI at Scale in Bing Microsoft 2020
❌ Query Understanding Engine in Traveloka Universal Search Traveloka 2020
❌ Bayesian Product Ranking at Wayfair Wayfair 2020
❌ COLD: Towards the Next Generation of Pre-Ranking System (Paper) Alibaba 2020
❌ Driving Shopping Upsells from Pinterest Search Pinterest 2020
❌ GDMix: A Deep Ranking Personalization Framework (Code) LinkedIn 2020
❌ Bringing Personalized Search to Etsy Etsy 2020
❌ Building a Better Search Engine for Semantic Scholar Allen Institute for AI 2020
❌ Query Understanding for Natural Language Enterprise Search (Paper) Salesforce 2020
❌ Query Understanding for Surfacing Under-served Music Content (Paper) Spotify 2020
❌ Embedding-based Retrieval in Facebook Search (Paper) Facebook 2020
❌ Towards Personalized and Semantic Retrieval for E-commerce Search via Embedding Learning (Paper) JD 2020
❌ QUEEN: Neural query rewriting in e-commerce (Paper) Amazon 2021
❌ Using Learning-to-rank to Precisely Locate Where to Deliver Packages (Paper) Amazon 2021
❌ Seasonal relevance in e-commerce search (Paper) Amazon 2021
✅ Graph Intention Network for Click-through Rate Prediction in Sponsored Search (Paper) Alibaba 2021
❌ How We Built A Context-Specific Bidding System for Etsy Ads Etsy 2021
❌ Pre-trained Language Model based Ranking in Baidu Search (Paper) Baidu 2021
❌ Deep Natural Language Processing for LinkedIn Search Systems (Paper) LinkedIn 2021
❌ Siamese BERT-based Model for Web Search Relevance Ranking (Paper, Code) Seznam 2021
❌ SearchSage: Learning Search Query Representations at Pinterest Pinterest 2021
❌ Query2Prod2Vec: Grounded Word Embeddings for eCommerce Coveo 2021
❌ 3 Changes to Expand DoorDash’s Product Search Beyond Delivery DoorDash 2022
❌ Learning To Rank Diversely Airbnb 2022
❌ How to Optimise Rankings with Cascade Bandits Expedia 2022
❌ A Guide to Google Search Ranking Systems Google 2022
❌ Deep Learning for Search Ranking at Etsy Etsy 2022
❌ Search at Calm Calm 2022
❌ Personalized Transformer-based Ranking for e-Commerce at Yandex
❌ Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale
❌ Que2Engage: Embedding-based Retrieval for Relevant and Engaging Products at Facebook Marketplace
❌ Fuzzy Substring Matching: On-device Fuzzy Friend Search at Snapchat
❌ Applying Deep Learning To Airbnb Search
❌ An Embedding-Based Grocery Search Model at Instacart
❌ Challenges in Search on Streaming Services: Netflix Case Study
❌ Visual Discovery at Pinterest
❌ Demystifying Core Ranking in Pinterest Image Search
❌ Rethinking Personalized Ranking at Pinterest: An End-to-End Approach
❌ TransAct: Transformer-based Realtime User Action Model for Recommendation at Pinterest
❌ Visual Search at Alibaba
❌ Personalized Expertise Search at LinkedIn
❌ Search by Ideal Candidates: Next Generation of Talent Search at LinkedIn
❌ LiRank: Industrial Large Scale Ranking Models at LinkedIn
❌ Prioritizing Home Attributes Based on Guest Interest Airbnb 2023
❌ Building Airbnb Categories with ML & Human in the Loop Airbnb 2023
❌ Feature Spotlight: Query Suggestions Algolia 2023
❌ Building In-Video Search Netflix 2023
❌ Resolve Cases Quickly with Interactive Einstein Search Answers Salesforce 2023
❌ Swiggy’s Generative AI Journey: A Peek Into the Future Swiggy 2023
❌ From Image Classification to Multitask Modeling: Building Etsy’s Search by Image Feature Etsy 2023
❌ How LinkedIn Is Using Embeddings to Up Its Match Game for Job Seekers Linkedin 2023
❌ How Instacart Uses Embeddings to Improve Search Relevance Instacart 2022
❌ Introducing Natural Language Search for Podcast Episodes Spotify 2022
❌ Explore-exploit dilemma in Ranking model Trivago 2022
❌ Improving Post Search at LinkedIn Linkedin 2022
❌ How Instacart Uses Machine Learning-Driven Autocomplete to Help People Fill Their Carts Instacart 2022
❌ Real-Time Personalisation of Search Results with Auto Trader's Customer Data Platform Autotrader 2022
❌ Real-time ranking at Faire part 2: the feature store Faire 2022
❌ Wayfair’s New Approach to Aspect Based Sentiment Analysis Helps Customers Easily Find “Long Tail” Products Wayfair 2022
❌ Building Faire’s new marketplace ranking infrastructure Faire 2021
❌ How image search works at Dropbox Dropbox 2021
❌ Learning To Rank Restaurants Swiggy 2021
❌ Using Deep Learning for Ranking in Dish Search Swiggy 2021
❌ Personalized Ranking Model for Lodging Expedia 2021
❌ Improving Deep Learning for Ranking Stays at Airbnb Airbnb 2020
❌ Bayesian Product Ranking at Wayfair Wayfair 2020
❌ Guided Search — Personalized Search Refinements to Help Customers Find their Dream Home Zillow 2020
❌ Things Not Strings: Understanding Search Intent with Better Recall Doordash 2020
❌ The Secret Sauce Behind Search Personalisation Gojek 2019
❌ Give Me Jeans not Shoes: How BERT Helps Us Deliver What Clients Want Stitch Fix 2019
❌ Is This What You Were Looking For? Gojek 2019

Embeddings

❌ Vector Representation Of Items, Customer And Cart To Build A Recommendation System (Paper) Sears 2017
❌ Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba (Paper) Alibaba 2018
❌ Embeddings@Twitter Twitter 2018
❌ Listing Embeddings in Search Ranking (Paper) Airbnb 2018
❌ Understanding Latent Style Stitch Fix 2018
❌ Towards Deep and Representation Learning for Talent Search at LinkedIn (Paper) LinkedIn 2018
❌ Personalized Store Feed with Vector Embeddings DoorDash 2018
❌ Should we Embed? A Study on Performance of Embeddings for Real-Time Recommendations(Paper) Moshbit 2019
❌ Machine Learning for a Better Developer Experience Netflix 2020
❌ Announcing ScaNN: Efficient Vector Similarity Search (Paper, Code) Google 2020
❌ BERT Goes Shopping: Comparing Distributional Models for Product Representations Coveo 2021
❌ The Embeddings That Came in From the Cold: Improving Vectors for New and Rare Products with Content-Based Inference Coveo 2022
❌ Multi-objective Hyper-parameter Optimization of Behavioral Song Embeddings (Paper) Apple 2022
❌ Embeddings at Spotify's Scale - How Hard Could It Be? Spotify 2023
❌ TIES: Temporal Interaction Embeddings For Enhancing Social Media Integrity At Facebook
❌ PinnerSage: Multi-Modal User Embedding Framework for Recommendations at Pinterest
❌ ItemSage: Learning Product Embeddings for Shopping Recommendations at Pinterest
❌ A Distributed Multi-GPU System for Large-Scale Node Embedding at Tencent
❌ Binary Embedding-based Retrieval at Tencent

Natural Language Processing

❌ Abusive Language Detection in Online User Content (Paper) Yahoo 2016
❌ Smart Reply: Automated Response Suggestion for Email (Paper) Google 2016
❌ Building Smart Replies for Member Messages LinkedIn 2017
❌ How Natural Language Processing Helps LinkedIn Members Get Support Easily LinkedIn 2019
❌ Gmail Smart Compose: Real-Time Assisted Writing (Paper) Google 2019
❌ Goal-Oriented End-to-End Conversational Models with Profile Features in a Real-World Setting (Paper) Amazon 2019
❌ DeText: A deep NLP Framework for Intelligent Text Understanding (Code) LinkedIn 2020
❌ SmartReply for YouTube Creators Google 2020
❌ Using Neural Networks to Find Answers in Tables (Paper) Google 2020
❌ A Scalable Approach to Reducing Gender Bias in Google Translate Google 2020
❌ Assistive AI Makes Replying Easier Microsoft 2020
❌ AI Advances to Better Detect Hate Speech Facebook 2020
❌ A State-of-the-Art Open Source Chatbot (Paper) Facebook 2020
❌ A Highly Efficient, Real-Time Text-to-Speech System Deployed on CPUs Facebook 2020
❌ Deep Learning to Translate Between Programming Languages (Paper, Code) Facebook 2020
❌ Deploying Lifelong Open-Domain Dialogue Learning (Paper) Facebook 2020
❌ Introducing Dynabench: Rethinking the way we benchmark AI Facebook 2020
❌ The State-of-the-art Open-Domain Chatbot in Chinese and English (Paper) Baidu 2020
❌ PEGASUS: A State-of-the-Art Model for Abstractive Text Summarization (Paper, Code) Google 2020
❌ Photon: A Robust Cross-Domain Text-to-SQL System (Paper) (Demo) Salesforce 2020
❌ GeDi: A Powerful New Method for Controlling Language Models (Paper, Code) Salesforce 2020
❌ Applying Topic Modeling to Improve Call Center Operations RICOH 2020
❌ WIDeText: A Multimodal Deep Learning Framework Airbnb 2020
❌ Dynaboard: Moving Beyond Accuracy to Holistic Model Evaluation in NLP (Code) Facebook 2021
❌ How we reduced our text similarity runtime by 99.96% Microsoft 2021
❌ Textless NLP: Generating expressive speech from raw audio (Part 1) (Part 2) (Part 3) (Code and Pretrained Models) Facebook 2021
❌ Grammar Correction as You Type, on Pixel 6 Google 2021
❌ Auto-generated Summaries in Google Docs Google 2022
❌ ML-Enhanced Code Completion Improves Developer Productivity Google 2022
❌ Words All the Way Down — Conversational Sentiment Analysis PayPal 2022
❌ Query Processing at Snapchat: How we Handle Query Completion, Suggestion and Localization
❌ Toward a full-scale neural machine translation in production: the Booking.com use case
❌ Improving Query Safety at Pinterest
❌ A New Era of Creativity: Expert-in-the-loop Generative AI at Stitch Fix Stitch Fix 2023
❌ All the Hard Stuff Nobody Talks About when Building Products with LLMs Honeycomb 2023
❌ Using topic modelling to understand customer saving goals Monzo 2023
❌ Improving the Performance of NLP Systems on the Gender-Neutral “They” Grammarly 2023
❌ Bringing the world closer together with a foundational multimodal model for speech translation Meta 2023
❌ A Unified Multi-task Model for Supporting Multiple Virtual Assistants in Walmart Walmart 2022
❌ Using predictive technology to foster constructive conversations Nextdoor 2022
❌ Categorising Customer Feedback Using Unsupervised Learning Expedia 2022
❌ Conversation Summaries in Google Chat Google 2022
❌ Under the Hood of the Grammarly Editor, Part Two: How Suggestions Work Grammarly 2022
❌ Helping Home Shoppers Find a Home to Love Through Home Insights Zillow 2022
❌ Incorporating Listing Descriptions into the Zestimate Zillow 2022
❌ Innovating the Basics: Achieving Superior Precision and Recall in Grammatical Error Correction Grammarly 2022
❌ Building Wayfair’s First Virtual Assistant: Automating Customer Service by Text Based Intent Prediction Wayfair 2022
❌ Information Extraction at Scribd Scribd 2021
❌ Multilingual message content moderation at scale (part 2) Bumble 2021
❌ ATTN: How Grammarly’s NLP/ML Team Figured Out Where Readers Focus in an Email Grammarly 2021
❌ How Pinterest powers a healthy comment ecosystem with machine learning Pinterest 2021
❌ Grammatical Error Correction: Tag, Not Rewrite Grammarly 2021
❌ Improving Recommendation Quality by Tapping into Listing Text Zillow 2021
❌ Multilingual message content moderation at scale (part 1) Bumble 2021
❌ Adversarial Grammatical Error Correction Grammarly 2021
❌ How we used Cross-Lingual Transfer Learning to categorize our content Dailymotion 2020
❌ How Duolingo uses AI in every part of its app Duolingo 2020
❌ Language Identification from Very Short Strings Apple 2019

Sequence Modelling

❌ Doctor AI: Predicting Clinical Events via Recurrent Neural Networks (Paper) Sutter Health 2015
❌ Deep Learning for Understanding Consumer Histories (Paper) Zalando 2016
❌ Using Recurrent Neural Network Models for Early Detection of Heart Failure Onset (Paper) Sutter Health 2016
❌ Continual Prediction of Notification Attendance with Classical and Deep Networks (Paper) Telefonica 2017
❌ Deep Learning for Electronic Health Records (Paper) Google 2018
❌ Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction (Paper)Alibaba 2019
❌ Search-based User Interest Modeling with Sequential Behavior Data for CTR Prediction (Paper) Alibaba 2020
❌ Leveraging Online Social Interactions For Enhancing Integrity at Facebook (Paper, Video) Facebook 2020
❌ Using deep learning to detect abusive sequences of member activity (Video) LinkedIn 2021
❌ Soft Frequency Capping for Improved Ad Click Prediction in Yahoo Gemini Native
❌ PinnerFormer: Sequence Modeling for User Representation at Pinterest

Computer Vision

❌ Creating a Modern OCR Pipeline Using Computer Vision and Deep Learning Dropbox 2017
❌ Categorizing Listing Photos at Airbnb Airbnb 2018
❌ Amenity Detection and Beyond — New Frontiers of Computer Vision at Airbnb Airbnb 2019
❌ How we Improved Computer Vision Metrics by More Than 5% Only by Cleaning Labelling Errors Deepomatic
❌ Making machines recognize and transcribe conversations in meetings using audio and video Microsoft 2019
❌ Powered by AI: Advancing product understanding and building new shopping experiences Facebook 2020
❌ A Neural Weather Model for Eight-Hour Precipitation Forecasting (Paper) Google 2020
❌ Machine Learning-based Damage Assessment for Disaster Relief (Paper) Google 2020
❌ RepNet: Counting Repetitions in Videos (Paper) Google 2020
❌ Converting Text to Images for Product Discovery (Paper) Amazon 2020
❌ How Disney Uses PyTorch for Animated Character Recognition Disney 2020
❌ Image Captioning as an Assistive Technology (Video) IBM 2020
❌ AI for AG: Production machine learning for agriculture Blue River 2020
❌ AI for Full-Self Driving at Tesla Tesla 2020
❌ On-device Supermarket Product Recognition Google 2020
❌ Using Machine Learning to Detect Deficient Coverage in Colonoscopy Screenings (Paper) Google 2020
❌ Shop The Look: Building a Large Scale Visual Shopping System at Pinterest (Paper, Video) Pinterest 2020
❌ Developing Real-Time, Automatic Sign Language Detection for Video Conferencing (Paper) Google 2020
❌ Vision-based Price Suggestion for Online Second-hand Items (Paper) Alibaba 2020
❌ New AI Research to Help Predict COVID-19 Resource Needs From X-rays (Paper, Model) Facebook 2021
❌ An Efficient Training Approach for Very Large Scale Face Recognition (Paper) Alibaba 2021
❌ Identifying Document Types at Scribd Scribd 2021
❌ Semi-Supervised Visual Representation Learning for Fashion Compatibility (Paper) Walmart 2021
❌ Recognizing People in Photos Through Private On-Device Machine Learning Apple 2021
❌ DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection Google 2022
❌ Contrastive language and vision learning of general fashion concepts (Paper)Coveo 2022
❌ Leveraging Computer Vision for Search Ranking BazaarVoice 2023
❌ Snap Video: Scaled Spatiotemporal Transformers for Text-to-Video Synthesis
❌ Learning a Unified Embedding for Visual Search at Pinterest
❌ Bootstrapping Complete The Look at Pinterest
❌ Virtual ID Discovery from E-commerce Media at Alibaba: Exploiting Richness of User Click Behavior for Visual Search Relevance
❌ Personalized ‘Complete the Look’ model Walmart 2023
❌ Yelp Content As Embeddings Yelp 2023
❌ Fast Class-Agnostic Salient Object Segmentation Apple 2023
❌ Uber’s Real-Time Document Check Uber 2022
❌ A snapshot of AI-powered reminiscing in Google Photos Google 2021
❌ Stitching together spaces for query-based recommendations Stitch Fix 2021
❌ Using Rich Image and Text Data to Categorize Products at Scale Shopify 2021
❌ AI-Created Outfits Nordstrom 2021
❌ Image detection as a service Bumble 2020
❌ Zillow Floor Plan: Training Models to Detect Windows, Doors and Openings in Panoramas Zillow 2020
❌ The Visual Complements Model (ViCs): Complementary Product Recommendations From Visual Cues Wayfair 2020

Reinforcement Learning

Anomaly Detection

❌ Detecting Performance Anomalies in External Firmware Deployments Netflix 2019
✅ Detecting and Preventing Abuse on LinkedIn using Isolation Forests video (Code) LinkedIn 2019
❌ Deep Anomaly Detection with Spark and Tensorflow (Hopsworks Video) Swedbank, Hopsworks 2019
❌ The Technology Behind Fighting Harassment on LinkedIn LinkedIn 2020
❌ Uncovering Insurance Fraud Conspiracy with Network Learning (Paper) Ant Financial 2020
❌ How Does Spam Protection Work on Stack Exchange? Stack Exchange 2020
❌ Auto Content Moderation in C2C e-Commerce Mercari 2020
❌ Blocking Slack Invite Spam With Machine Learning Slack 2020
❌ Cloudflare Bot Management: Machine Learning and More Cloudflare 2020
❌ Anomalies in Oil Temperature Variations in a Tunnel Boring Machine SENER 2020
❌ Using Anomaly Detection to Monitor Low-Risk Bank Customers Rabobank 2020
❌ Fighting fraud with Triplet Loss OLX Group 2020
❌ Facebook is Now Using AI to Sort Content for Quicker Moderation (Alternative) Facebook 2020
❌ How AI is getting better at detecting hate speech Part 1, Part 2, Part 3, Part 4 Facebook 2020
❌ Project RADAR: Intelligent Early Fraud Detection System with Humans in the Loop Uber 2022
❌ Graph for Fraud Detection Grab 2022
❌ Evolving our machine learning to stop mobile bots Cloudflare 2022
❌ Improving the accuracy of our machine learning WAF using data augmentation and sampling Cloudflare 2022
❌ Machine Learning for Fraud Detection in Streaming Services Netflix 2022
❌ Pricing at Lyft Lyft 2022

Graph

❌ Building The LinkedIn Knowledge Graph LinkedIn 2016
❌ Scaling Knowledge Access and Retrieval at Airbnb Airbnb 2018
❌ Graph Convolutional Neural Networks for Web-Scale Recommender Systems (Paper)Pinterest 2018
❌ Food Discovery with Uber Eats: Using Graph Learning to Power Recommendations Uber 2019
❌ AliGraph: A Comprehensive Graph Neural Network Platform (Paper) Alibaba 2019
❌ Contextualizing Airbnb by Building Knowledge Graph Airbnb 2019
❌ Retail Graph — Walmart’s Product Knowledge Graph Walmart 2020
❌ Traffic Prediction with Advanced Graph Neural Networks DeepMind 2020
❌ SimClusters: Community-Based Representations for Recommendations (Paper, Video) Twitter 2020
❌ Metapaths guided Neighbors aggregated Network for Heterogeneous Graph Reasoning (Paper) Alibaba 2021
❌ JEL: Applying End-to-End Neural Entity Linking in JPMorgan Chase (Paper) JPMorgan Chase 2021
❌ How AWS uses graph neural networks to meet customer needs Amazon 2022
❌ Layered Graph Embedding for Entity Recommendation using Wikipedia in the Yahoo! Knowledge Graph
❌ MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest
❌ AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibaba
❌ LiGNN: Graph Neural Networks at LinkedIn

Optimization

❌ Matchmaking in Lyft Line (Part 1) (Part 2) (Part 3) Lyft 2016
❌ The Data and Science behind GrabShare Carpooling paper (Part 1) Grab 2017
❌ How Trip Inferences and Machine Learning Optimize Delivery Times on Uber Eats Uber 2018
❌ Next-Generation Optimization for Dasher Dispatch at DoorDash DoorDash 2020
❌ Optimization of Passengers Waiting Time in Elevators Using Machine Learning Thyssen Krupp AG 2020
❌ Think Out of The Package: Recommending Package Types for E-commerce Shipments (Paper) Amazon 2020
❌ Optimizing DoorDash’s Marketing Spend with Machine Learning DoorDash 2020
❌ Revenue Maximization of Airbnb Marketplace using Search Results
❌ Business Policy Experiments using Fractional Factorial Designs: Consumer Retention on DoorDash
❌ Truncation-Free Matching System for Display Advertising at Alibaba
❌ Bidding Agent Design in the LinkedIn Ad Marketplace
❌ Sales Channel Optimization via Simulations Based on Observational Data with Delayed Rewards: A Case Study at LinkedIn
❌ Large-language models for automatic cloud incident management Microsoft 2023
❌ Building the Neural Zestimate Zillow 2023
❌ Improving the customer’s experience via ML-driven payment routing Linkedin 2023
❌ Using Synthetic Search Data for Flights Price Forecasting Expedia 2023
❌ Accelerating AI: Implementing Multi-GPU Distributed Training for Personalized Recommendations Stitch Fix 2023
❌ Exploring an Entity Resolution Framework Across Various Use Cases Walmart 2023
❌ Is this a date? Using ML to identify date formats in file names Dropbox 2023
❌ Predicting package dimensions based on a similarity model at Mercado Libre Mercado Libre 2022
❌ Leveraging machine learning to find security vulnerabilities Github 2022
❌ How We Built Infrastructure to Run User Forecasts at Spotify Spotify 2022
❌ How AI Text Generation Models Are Reshaping Customer Support at Airbnb Airbnb 2022
❌ Forecast Anomalies in Refrigeration with PySpark & Sensor-data Walmart 2022
❌ Pricing at Lyft Lyft 2022
❌ Using deep learning to detect dissonance between address text and location Swiggy 2022
❌ Didact AI: The anatomy of an ML-powered stock picking engine Didact AI 2022
❌ How we went from zero insight to predicting service time with a machine learning model — Part 2/2 Oda 2022
❌ For your eyes only: improving Netflix video quality with neural networks Netflix 2022
❌ Using Machine Learning for Fast Test Feedback to Developers and Test Suite Optimization Siemens Healthineers 2022
❌ Applying multitask learning to AI models at LinkedIn Linkedin 2022
❌ ML and customer support (Part 1): Using Machine Learning to enable world-class customer support Microsoft 2021
❌ Forecasting SQL query resource usage with machine learning Twitter 2021
❌ Applying Machine Learning in Internal Audit with Sparsely Labeled Data Uber 2021
❌ ML and customer support (Part 2): Leveraging topic modeling to identify the top investment areas in support cases Microsoft 2021
❌ Predicting Hard Drive Failure with Machine Learning Datto 2021
❌ Optimizing payments with machine learning Dropbox 2021
❌ How DoorDash Quickly Spins Up Multiple Image Recognition Use Cases Doordash 2021
❌ Automating Data Protection at Scale, Part 2 Airbnb 2021
❌ Automated detection, diagnosis & remediation of app failure Capital One 2021
❌ Predicting Defrost in Refrigeration Cases at Walmart using Fourier Transform Walmart 2021
❌ Using Machine Learning to Improve Payment Authorization Rate PayPal 2021
❌ Using ML and Optimization to Solve DoorDash’s Dispatch Problem Doordash 2021
❌ Learning to Predict Two-Wheeler Travel Distance Swiggy 2021
❌ How we used ML — and heuristic data labeling — to help customers with their cloud migration Microsoft 2021
❌ How Gojek Uses NLP to Name Pickup Locations at Scale Gojek 2020
❌ Testing Firefox more efficiently with machine learning Mozilla 2020
❌ Optimizing payment conversion rates with contextual multi-armed bandits Adyen 2020
❌ Detecting Stop Signs and Traffic Signals: Deep Learning at Lyft Mapping Lyft 2019
❌ How Lyft Creates Hyper-Accurate Maps from Open-Source Maps and Real-Time Data Lyft 2019
❌ Human-Like Playtesting with Deep Learning King 2019
❌ Using Machine Learning to Improve Streaming Quality at Netflix Netflix 2018
❌ Space, Time and Groceries Instacart 2017

Information Extraction

❌ Unsupervised Extraction of Attributes and Their Values from Product Description (Paper) Rakuten 2013
❌ Using Machine Learning to Index Text from Billions of Images Dropbox 2018
❌ Extracting Structured Data from Templatic Documents (Paper) Google 2020
❌ AutoKnow: self-driving knowledge collection for products of thousands of types (Paper, Video) Amazon 2020
❌ One-shot Text Labeling using Attention and Belief Propagation for Information Extraction (Paper) Alibaba 2020
❌ Information Extraction from Receipts with Graph Convolutional Networks Nanonets 2021
❌ Producing Usable Taxonomies Cheaply and Rapidly at Pinterest Using Discovered Dynamic μ-Topics
❌ Deep Job Understanding at LinkedIn
❌ Hamlet: Wayfair's ML Approach to Identifying Business Shopper Wayfair 2023
❌ Ocelot: Scaling observational causal inference at LinkedIn Linkedin 2022
❌ A Survey of Causal Inference Applications at Netflix Netflix 2022
❌ Beyond prediction machines Nubank 2021
❌ Causal Inference — Estimating Long-term Engagement Mercado Libre 2021
❌ Modeling Uplift Directly: Uplift Decision Tree with KL Divergence and Euclidean Distance as Splitting Criteria Wayfair 2019

Weak Supervision

❌ Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale (Paper) Google 2019
❌ Osprey: Weak Supervision of Imbalanced Extraction Problems without Code (Paper) Intel 2019
❌ Bootstrapping Conversational Agents with Weak Supervision (Paper) IBM 2019
❌ HierCat: Hierarchical Query Categorization from Weakly Supervised Data at Facebook Marketplace

Generation

❌ Better Language Models and Their Implications (Paper)OpenAI 2019
❌ Image GPT (Paper, Code) OpenAI 2019
❌ Language Models are Few-Shot Learners (Paper) (GPT-3 Blog post) OpenAI 2020
❌ Deep Learned Super Resolution for Feature Film Production (Paper) Pixar 2020
❌ Unit Test Case Generation with Transformers Microsoft 2021
❌ Observation-based unit test generation at Meta
❌ Automated Unit Test Improvement using Large Language Models at Meta
❌ Inside GitHub: Working with the LLMs behind GitHub Copilot GitHub 2023
❌ LLM-powered data classification for data entities at scale Grab 2023
❌ Introducing Code Llama, a state-of-the-art large language model for coding Meta 2023
❌ How to build an enterprise LLM application: Lessons from GitHub Copilot GitHub 2023
❌ DoorDash identifies Five big areas for using Generative AI Doordash 2023
❌ Large-Scale Generation of ML Podcast Previews at Spotify with Google Dataflow Spotify 2023
❌ Building Boba AI Thoughtworks 2023
❌ How Whatnot Utilizes Generative AI to Enhance Trust and Safety Whatnot 2023
❌ AI Summarist: Get Your Time Back on Slack, Boost Productivity & Focus, Personalize Information Consumption Salesforce 2023
❌ Generative AI-enabled compliance for software development GitHub 2023
❌ Scaling Productivity with Ava — Instacart’s Internal AI Assistant Instacart 2023
❌ From idea to reality: Elevating our customer support through generative AI Vimeo 2023
❌ Improving Virtual Card Numbers with Edge Machine Learning Capital One 2021

Audio

❌ Improving On-Device Speech Recognition with VoiceFilter-Lite (Paper)Google 2020
❌ The Machine Learning Behind Hum to Search Google 2020
❌ Detecting Speech and Music in Audio Content Netflix 2023
❌ Voice Reorder Experience: add Multiple Product Items to your shopping cart Walmart 2022

Privacy-Preserving Machine Learning

❌ Federated Learning: Collaborative Machine Learning without Centralized Training Data (Paper) Google 2017
❌ Federated Learning with Formal Differential Privacy Guarantees (Paper) Google 2022
❌ MPC-based machine learning: Achieving end-to-end privacy-preserving machine learning (Paper) Facebook 2022
❌ Personalized Federated Search at LinkedIn
❌ LinkedIn Salary: A System for Secure Collection and Presentation of Structured Compensation Insights to Job Seekers
❌ PriPeARL: A Framework for Privacy-Preserving Analytics and Reporting at LinkedIn
❌ LinkedIn's Audience Engagements API: A Privacy Preserving Data Analytics System at Scale

Validation and A/B Testing

❌ Overlapping Experiment Infrastructure: More, Better, Faster Experimentation (Paper) Google 2010
❌ The Reusable Holdout: Preserving Validity in Adaptive Data Analysis (Paper) Google 2015
❌ Twitter Experimentation: Technical Overview Twitter 2015
❌ It’s All A/Bout Testing: The Netflix Experimentation Platform Netflix 2016
❌ Building Pinterest’s A/B Testing Platform Pinterest 2016
❌ Experimenting to Solve Cramming Twitter 2017
❌ Building an Intelligent Experimentation Platform with Uber Engineering Uber 2017
❌ Scaling Airbnb’s Experimentation Platform Airbnb 2017
❌ Meet Wasabi, an Open Source A/B Testing Platform (Code) Intuit 2017
❌ Analyzing Experiment Outcomes: Beyond Average Treatment Effects Uber 2018
❌ Under the Hood of Uber’s Experimentation Platform Uber 2018
❌ Constrained Bayesian Optimization with Noisy Experiments (Paper) Facebook 2018
❌ Reliable and Scalable Feature Toggles and A/B Testing SDK at Grab Grab 2018
❌ Modeling Conversion Rates and Saving Millions Using Kaplan-Meier and Gamma Distributions (Code) Better 2019
❌ Detecting Interference: An A/B Test of A/B Tests LinkedIn 2019
❌ Announcing a New Framework for Designing Optimal Experiments with Pyro (Paper) (Paper) Uber 2020
❌ Enabling 10x More Experiments with Traveloka Experiment Platform Traveloka 2020
❌ Large Scale Experimentation at Stitch Fix (Paper) Stitch Fix 2020
❌ Multi-Armed Bandits and the Stitch Fix Experimentation Platform Stitch Fix 2020
❌ Experimentation with Resource Constraints Stitch Fix 2020
❌ Computational Causal Inference at Netflix (Paper) Netflix 2020
❌ Key Challenges with Quasi Experiments at Netflix Netflix 2020
❌ Making the LinkedIn experimentation engine 20x faster LinkedIn 2020
❌ Our Evolution Towards T-REX: The Prehistory of Experimentation Infrastructure at LinkedIn LinkedIn 2020
❌ How to Use Quasi-experiments and Counterfactuals to Build Great Products Shopify 2020
❌ Improving Experimental Power through Control Using Predictions as Covariate DoorDash 2020
❌ Supporting Rapid Product Iteration with an Experimentation Analysis Platform DoorDash 2020
❌ Improving Online Experiment Capacity by 4X with Parallelization and Increased Sensitivity DoorDash 2020
❌ Leveraging Causal Modeling to Get More Value from Flat Experiment Results DoorDash 2020
❌ Iterating Real-time Assignment Algorithms Through Experimentation DoorDash 2020
❌ Spotify’s New Experimentation Platform (Part 1) (Part 2) Spotify 2020
❌ Interpreting A/B Test Results: False Positives and Statistical Significance Netflix 2021
❌ Interpreting A/B Test Results: False Negatives and Power Netflix 2021
❌ Running Experiments with Google Adwords for Campaign Optimization DoorDash 2021
❌ The 4 Principles DoorDash Used to Increase Its Logistics Experiment Capacity by 1000% DoorDash 2021
❌ Experimentation Platform at Zalando: Part 1 - Evolution Zalando 2021
❌ Designing Experimentation Guardrails Airbnb 2021
❌ How Airbnb Measures Future Value to Standardize Tradeoffs Airbnb 2021
❌ Network Experimentation at Scale(Paper] Facebook 2021
❌ Universal Holdout Groups at Disney Streaming Disney 2021
❌ Experimentation is a major focus of Data Science across Netflix Netflix 2022
❌ Search Journey Towards Better Experimentation Practices Spotify 2022
❌ Artificial Counterfactual Estimation: Machine Learning-Based Causal Inference at Airbnb Airbnb 2022
❌ Beyond A/B Test : Speeding up Airbnb Search Ranking Experimentation through Interleaving Airbnb 2022
❌ Challenges in Experimentation Lyft 2022
❌ Overtracking and Trigger Analysis: Reducing sample sizes while INCREASING sensitivity Booking 2022
❌ Meet Dash-AB — The Statistics Engine of Experimentation at DoorDash DoorDash 2022
❌ Comparing quantiles at scale in online A/B-testing Spotify 2022
❌ Accelerating our A/B experiments with machine learning Dropbox 2023
❌ Supercharging A/B Testing at Uber Uber
❌ Democratizing online controlled experiments at Booking.com
❌ Mediation Analysis in Online Experiments at Booking.com: Disentangling Direct and Indirect Effects

Model Management

❌ Operationalizing Machine Learning—Managing Provenance from Raw Data to Predictions Comcast 2018
❌ Overton: A Data System for Monitoring and Improving Machine-Learned Products (Paper) Apple 2019
❌ Runway - Model Lifecycle Management at Netflix Netflix 2020
❌ Managing ML Models @ Scale - Intuit’s ML Platform Intuit 2020
❌ ML Model Monitoring - 9 Tips From the Trenches Nubank 2021
❌ Dealing with Train-serve Skew in Real-time ML Models: A Short Guide Nubank 2023
❌ Adversarial Validation Approach to Concept Drift Problem in User Targeting Automation Systems at Uber

Efficiency

❌ GrokNet: Unified Computer Vision Model Trunk and Embeddings For Commerce (Paper) Facebook 2020
❌ How We Scaled Bert To Serve 1+ Billion Daily Requests on CPUs Roblox 2020
❌ Permute, Quantize, and Fine-tune: Efficient Compression of Neural Networks (Paper) Uber 2021

Ethics

❌ Building Inclusive Products Through A/B Testing (Paper) LinkedIn 2020
❌ LiFT: A Scalable Framework for Measuring Fairness in ML Applications (Paper) LinkedIn 2020
❌ Introducing Twitter’s first algorithmic bias bounty challenge Twitter 2021
❌ Examining algorithmic amplification of political content on Twitter Twitter 2021
❌ A closer look at how LinkedIn integrates fairness into its AI products LinkedIn 2022
❌ Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search
❌ Disentangling and Operationalizing AI Fairness at LinkedIn

Infra

❌ Reengineering Facebook AI’s Deep Learning Platforms for Interoperability Facebook 2020
❌ Elastic Distributed Training with XGBoost on Ray Uber 2021

MLOps Platforms

❌ Meet Michelangelo: Uber’s Machine Learning Platform Uber 2017
❌ Big Data Machine Learning Platform at Pinterest Pinterest 2019
❌ Core Modeling at Instagram Instagram 2019
❌ Open-Sourcing Metaflow - a Human-Centric Framework for Data Science Netflix 2019
❌ Real-time Machine Learning Inference Platform at Zomato Zomato 2020
❌ Introducing Flyte: Cloud Native Machine Learning and Data Processing Platform Lyft 2020
❌ Building Flexible Ensemble ML Models with a Computational Graph DoorDash 2021
❌ LyftLearn: ML Model Training Infrastructure built on Kubernetes Lyft 2021
❌ "You Don't Need a Bigger Boat": A Full Data Pipeline Built with Open-Source Tools (Paper) Coveo 2021
❌ MLOps at GreenSteam: Shipping Machine Learning GreenSteam 2021
❌ Evolving Reddit’s ML Model Deployment and Serving Architecture Reddit 2021
❌ Redesigning Etsy’s Machine Learning Platform Etsy 2021
❌ Building a Platform for Serving Recommendations at Etsy Etsy 2022
❌ Intelligent Automation Platform: Empowering Conversational AI and Beyond at Airbnb Airbnb 2022
❌ DARWIN: Data Science and Artificial Intelligence Workbench at LinkedIn LinkedIn 2022
❌ The Magic of Merlin: Shopify's New Machine Learning Platform Shopify 2022
❌ Zalando's Machine Learning Platform Zalando 2022
❌ Inside Meta's AI optimization platform for engineers across the company (Paper) Meta 2022
❌ Monzo’s machine learning stack Monzo 2022
❌ Evolution of ML Fact Store Netflix 2022
❌ Using MLOps to Build a Real-time End-to-End Machine Learning Pipeline Binance 2022
❌ Serving Machine Learning Models Efficiently at Scale at Zillow Zillow 2022
❌ Deployment for Free - A Machine Learning Platform for Stitch Fix's Data Scientists Stitch Fix 2022
❌ Machine Learning Operations (MLOps): Overview, Definition, and Architecture (Paper) IBM 2022
❌ FaaSNet: Scalable and Fast Provisioning of Custom Serverless Container Runtimes at Alibaba Cloud Function Compute
❌ Amazon SageMaker Model Monitor: A System for Real-Time Insights into Deployed Machine Learning Models
❌ AlerTiger: Deep Learning for AI Model Health Monitoring at LinkedIn

Practices

❌ Practical Recommendations for Gradient-Based Training of Deep Architectures (Paper) Yoshua Bengio 2012
❌ Machine Learning: The High Interest Credit Card of Technical Debt (Paper) (Paper) Google 2014
❌ Good Data Analysis Google 2019
✅ Rules of Machine Learning: Best Practices for ML Engineering Google 2018
❌ On Challenges in Machine Learning Model Management Amazon 2018
❌ Machine Learning in Production: The Booking.com Approach Booking 2019
❌ 150 Successful Machine Learning Models: 6 Lessons Learned at Booking.com (Paper) Booking 2019
❌ Successes and Challenges in Adopting Machine Learning at Scale at a Global Bank Rabobank 2019
❌ Challenges in Deploying Machine Learning: a Survey of Case Studies (Paper) Cambridge 2020
❌ The problem with AI developer tools for enterprises Databricks 2020
❌ Continuous Integration and Deployment for Machine Learning Online Serving and Models Uber 2021
✅ Tuning Model Performance Uber 2021
❌ Maintaining Machine Learning Model Accuracy Through Monitoring DoorDash 2021
❌ Building Scalable and Performant Marketing ML Systems at Wayfair Wayfair 2021
❌ Our approach to building transparent and explainable AI systems LinkedIn 2021
❌ 5 Steps for Building Machine Learning Models for Business Shopify 2021
✅ Data Is An Art, Not Just A Science—And Storytelling Is The Key Shopify 2022
✅ Best Practices for Real-time Machine Learning: Alerting Nubank 2022
✅ Automatic Retraining for Machine Learning Models: Tips and Lessons Learned Nubank 2022
❌ ML Education at Uber: Frameworks Inspired by Engineering Principles Uber 2022

Team Structure

✅ What is the most effective way to structure a data science team? Udemy 2017
❌ Engineers Shouldn’t Write ETL: A Guide to Building a High Functioning Data Science Department Stitch Fix 2016
❌ Building The Analytics Team At Wish Wish 2018
❌ Beware the Data Science Pin Factory: The Power of the Full-Stack Data Science Generalist Stitch Fix 2019
❌ Cultivating Algorithms: How We Grow Data Science at Stitch Fix Stitch Fix
❌ Analytics at Netflix: Who We Are and What We Do Netflix 2020
❌ Building a Data Team at a Mid-stage Startup: A Short Story Erikbern 2021
❌ A Behind-the-Scenes Look at How Postman’s Data Team Works Postman 2021
❌ Data Scientist x Machine Learning Engineer Roles: How are they different? How are they alike? Nubank 2022

Fails

✅ When It Comes to Gorillas, Google Photos Remains Blind Google 2018
✅ 160k+ High School Students Will Graduate Only If a Model Allows Them to International Baccalaureate 2020
❌ An Algorithm That ‘Predicts’ Criminality Based on a Face Sparks a Furor Harrisburg University 2020
✅ It's Hard to Generate Neural Text From GPT-3 About Muslims OpenAI 2020
❌ A British AI Tool to Predict Violent Crime Is Too Flawed to Use United Kingdom 2020
✅ More in awful-ai
✅ AI Incident Database Partnership on AI 2022

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