Curated ML/AI Resources for MITxHarvard Women in AI members.
Have a suggestion to contribute? Please make a pull request (PR) or send an email to: wai_exec@mit.edu
Credit: Eugene Yan (https://eugeneyan.com)
Table of Contents
- Python
- Markdown
- Mathematics of ML
- Forecasting
- Recommendation
- Search
- Natural Language Processing
- Sequence Modelling
- Computer Vision
- Reinforcement Learning
- Anomaly Detection
- Knowledge Graphs
- Information Extraction
- Weak Supervision
- MLOps
- Explainable and Interpretable AI
- Ethics
- Interviewing for Jobs
- Outreach
- Industry Internships
More to come!!
- Forecasting at Uber: An Introduction
Uber - Engineering Extreme Event Forecasting at Uber with RNN
Uber - Transforming Financial Forecasting with Data Science and Machine Learning at Uber
Uber - Introducing Orbit, An Open Source Package for Time Series Inference and Forecasting (Paper, Video, Code)
Uber - Under the Hood of Gojek’s Automated Forecasting Tool
Gojek - BusTr: Predicting Bus Travel Times from Real-Time Traffic (Paper, Video)
Google - Retraining Machine Learning Models in the Wake of COVID-19
DoorDash - Managing Supply and Demand Balance Through Machine Learning
DoorDash - Automatic Forecasting using Prophet, Databricks, Delta Lake and MLflow (Paper, Code)
Atlassian - Greykite: A flexible, intuitive, and fast forecasting library
LinkedIn
- Amazon.com Recommendations: Item-to-Item Collaborative Filtering (Paper)
Amazon - Temporal-Contextual Recommendation in Real-Time (Paper)
Amazon - P-Companion: A Framework for Diversified Complementary Product Recommendation (Paper)
Amazon - Recommending Complementary Products in E-Commerce Push Notifications (Paper)
Alibaba - Deep Interest with Hierarchical Attention Network for Click-Through Rate Prediction (Paper)
Alibaba - Behavior Sequence Transformer for E-commerce Recommendation in Alibaba (Paper)
Alibaba - TPG-DNN: A Method for User Intent Prediction with Multi-task Learning (Paper)
Alibaba - PURS: Personalized Unexpected Recommender System for Improving User Satisfaction (Paper)
Alibaba - SDM: Sequential Deep Matching Model for Online Large-scale Recommender System (Paper)
Alibaba - Multi-Interest Network with Dynamic Routing for Recommendation at Tmall (Paper)
Alibaba - Controllable Multi-Interest Framework for Recommendation (Paper)
Alibaba - MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction (Paper)
Alibaba - ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation (Paper)
Alibaba - Session-based Recommendations with Recurrent Neural Networks (Paper)
Telefonica - How 20th Century Fox uses ML to predict a movie audience (Paper)
20th Century Fox - Deep Neural Networks for YouTube Recommendations
YouTube - Personalized Recommendations for Experiences Using Deep Learning
TripAdvisor - E-commerce in Your Inbox: Product Recommendations at Scale (Paper)
Yahoo - Powered by AI: Instagram’s Explore recommender system
Facebook - Netflix Recommendations: Beyond the 5 stars (Part 1 (Part 2)
Netflix - Learning a Personalized Homepage
Netflix - Artwork Personalization at Netflix
Netflix - To Be Continued: Helping you find shows to continue watching on Netflix
Netflix - Calibrated Recommendations (Paper)
Netflix - Marginal Posterior Sampling for Slate Bandits (Paper)
Netflix - Food Discovery with Uber Eats: Recommending for the Marketplace
Uber - Food Discovery with Uber Eats: Using Graph Learning to Power Recommendations
Uber - How Music Recommendation Works — And Doesn’t Work
Spotify - Music recommendation at Spotify
Spotify - Recommending Music on Spotify with Deep Learning
Spotify - For Your Ears Only: Personalizing Spotify Home with Machine Learning
Spotify - Reach for the Top: How Spotify Built Shortcuts in Just Six Months
Spotify - Explore, Exploit, and Explain: Personalizing Explainable Recommendations with Bandits (Paper)
Spotify - Contextual and Sequential User Embeddings for Large-Scale Music Recommendation (Paper)
Spotify - The Evolution of Kit: Automating Marketing Using Machine Learning
Shopify - Content Suggestions at Dropbox
Dropbox - Using Machine Learning to Predict what File you Need Next
Dropbox - Personalized Recommendations in LinkedIn Learning
LinkedIn - A Closer Look at the AI Behind Course Recommendations on LinkedIn Learning
LinkedIn - Learning to be Relevant: Evolution of a Course Recommendation System (PAPER NEEDED)
LinkedIn - Building a Heterogeneous Social Network Recommendation System
LinkedIn - How TikTok recommends videos #ForYou
ByteDance - A Meta-Learning Perspective on Cold-Start Recommendations for Items (Paper)
Twitter - Lessons Learned Addressing Dataset Bias in Model-Based Candidate Generation (Paper)
Twitter - Zero-Shot Heterogeneous Transfer Learning from RecSys to Cold-Start Search Retrieval (Paper)
Google - Improved Deep & Cross Network for Feature Cross Learning in Web-scale LTR Systems (Paper)
Google - Self-supervised Learning for Large-scale Item Recommendations (Paper)
Google - Mixed Negative Sampling for Learning Two-tower Neural Networks in Recommendations (Paper)
Google - Personalized Channel Recommendations in Slack
Slack - Deep Retrieval: End-to-End Learnable Structure Model for Large-Scale Recommendations (Paper)
ByteDance - Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation (Paper)
Tencent - Using AI to Help Health Experts Address the COVID-19 Pandemic
Facebook - A Case Study of Session-based Recommendations in the Home-improvement Domain (Paper)
Home Depot - Balancing Relevance and Discovery to Inspire Customers in the IKEA App (Paper)
Ikea - Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time (Paper)
Pinterest - How we use AutoML, Multi-task learning and Multi-tower models for Pinterest Ads
Pinterest - Multi-task Learning for Related Products Recommendations at Pinterest
Pinterest - Improving the Quality of Recommended Pins with Lightweight Ranking
Pinterest - Advertiser Recommendation Systems at Pinterest
Pinterest - Personalized Cuisine Filter Based on Customer Preference and Local Popularity
DoorDash - How We Built a Matchmaking Algorithm to Cross-Sell Products
Gojek - On YouTube's Recommendation System
YouTube
- Amazon Search: The Joy of Ranking Products (Paper, Video, Code)
Amazon - Why Do People Buy Seemingly Irrelevant Items in Voice Product Search? (Paper)
Amazon - Semantic Product Search (Paper)
Amazon - QUEEN: Neural query rewriting in e-commerce (Paper)
Amazon - How Lazada Ranks Products to Improve Customer Experience and Conversion
Lazada - Using Deep Learning at Scale in Twitter’s Timelines
Twitter - Machine Learning-Powered Search Ranking of Airbnb Experiences
Airbnb - Applying Deep Learning To Airbnb Search (Paper)
Airbnb - Managing Diversity in Airbnb Search (Paper)
Airbnb - Improving Deep Learning for Airbnb Search (Paper)
Airbnb - Ranking Relevance in Yahoo Search (Paper)
Yahoo - An Ensemble-based Approach to Click-Through Rate Prediction for Promoted Listings at Etsy (Paper)
Etsy - Learning to Rank Personalized Search Results in Professional Networks (Paper)
LinkedIn - Entity Personalized Talent Search Models with Tree Interaction Features (Paper)
LinkedIn - In-session Personalization for Talent Search (Paper)
LinkedIn - The AI Behind LinkedIn Recruiter Search and recommendation systems
LinkedIn - Learning Hiring Preferences: The AI Behind LinkedIn Jobs
LinkedIn - Quality Matches Via Personalized AI for Hirer and Seeker Preferences
LinkedIn - Understanding Dwell Time to Improve LinkedIn Feed Ranking
LinkedIn - Ads Allocation in Feed via Constrained Optimization (Paper, Video)
LinkedIn - Talent Search and Recommendation Systems at LinkedIn (Paper)
LinkedIn - Understanding Dwell Time to Improve LinkedIn Feed Ranking
LinkedIn - AI at Scale in Bing
Microsoft - Query Understanding Engine in Traveloka Universal Search
Traveloka - The Secret Sauce Behind Search Personalisation
Gojek - Food Discovery with Uber Eats: Building a Query Understanding Engine
Uber - Neural Code Search: ML-based Code Search Using Natural Language Queries
Facebook - Bayesian Product Ranking at Wayfair
Wayfair - COLD: Towards the Next Generation of Pre-Ranking System (Paper)
Alibaba - Globally Optimized Mutual Influence Aware Ranking in E-Commerce Search (Paper)
Alibaba - Graph Intention Network for Click-through Rate Prediction in Sponsored Search (Paper)
Alibaba - Reinforcement Learning to Rank in E-Commerce Search Engine (Paper)
Alibaba - Aggregating Search Results from Heterogeneous Sources via Reinforcement Learning (Paper)
Alibaba - Cross-domain Attention Network with Wasserstein Regularizers for E-commerce Search
Alibaba - Understanding Searches Better Than Ever Before (Paper)
Google - Shop The Look: Building a Large Scale Visual Shopping System at Pinterest (Paper, Video)
Pinterest - Driving Shopping Upsells from Pinterest Search
Pinterest - GDMix: A Deep Ranking Personalization Framework (Code)
LinkedIn - Bringing Personalized Search to Etsy
Etsy - Building a Better Search Engine for Semantic Scholar
Allen Institute for AI - Query Understanding for Natural Language Enterprise Search (Paper)
Salesforce - How We Used Semantic Search to Make Our Search 10x Smarter
Tokopedia - Powering Search & Recommendations at DoorDash
DoorDash - Things Not Strings: Understanding Search Intent with Better Recall
DoorDash - Query Understanding for Surfacing Under-served Music Content (Paper)
Spotify - How We Built A Context-Specific Bidding System for Etsy Ads
Etsy - Query2vec: Search query expansion with query embeddings
GrubHub - Embedding-based Retrieval in Facebook Search (Paper)
Facebook - Towards Personalized and Semantic Retrieval for E-commerce Search via Embedding Learning (Paper)
JD - MOBIUS: Towards the Next Generation of Query-Ad Matching in Baidu’s Sponsored Search
Baidu - Pre-trained Language Model based Ranking in Baidu Search (Paper)
Baidu
- Abusive Language Detection in Online User Content (Paper)
Yahoo - How Natural Language Processing Helps LinkedIn Members Get Support Easily
LinkedIn - Building Smart Replies for Member Messages
LinkedIn - DeText: A deep NLP Framework for Intelligent Text Understanding (Code)
LinkedIn - Smart Reply: Automated Response Suggestion for Email (Paper)
Google - Gmail Smart Compose: Real-Time Assisted Writing (Paper)
Google - SmartReply for YouTube Creators
Google - Using Neural Networks to Find Answers in Tables (Paper)
Google - A Scalable Approach to Reducing Gender Bias in Google Translate
Google - Assistive AI Makes Replying Easier
Microsoft - AI Advances to Better Detect Hate Speech
Facebook - A State-of-the-Art Open Source Chatbot (Paper)
Facebook - A Highly Efficient, Real-Time Text-to-Speech System Deployed on CPUs
Facebook - Deep Learning to Translate Between Programming Languages (Paper, Code)
Facebook - Deploying Lifelong Open-Domain Dialogue Learning (Paper)
Facebook - Introducing Dynabench: Rethinking the way we benchmark AI
Facebook - Dynaboard: Moving Beyond Accuracy to Holistic Model Evaluation in NLP (Code)
Facebook - Goal-Oriented End-to-End Conversational Models with Profile Features in a Real-World Setting (Paper)
Amazon - How Gojek Uses NLP to Name Pickup Locations at Scale
Gojek - Give Me Jeans not Shoes: How BERT Helps Us Deliver What Clients Want
Stitch Fix - The State-of-the-art Open-Domain Chatbot in Chinese and English (Paper)
Baidu - PEGASUS: A State-of-the-Art Model for Abstractive Text Summarization (Paper, Code)
Google - Photon: A Robust Cross-Domain Text-to-SQL System (Paper) (Demo)
Salesforce - GeDi: A Powerful New Method for Controlling Language Models (Paper, Code)
Salesforce - Applying Topic Modeling to Improve Call Center Operations
RICOH - WIDeText: A Multimodal Deep Learning Framework
Airbnb - How we reduced our text similarity runtime by 99.96%
Microsoft - Textless NLP: Generating expressive speech from raw audio (Part 1) (Part 2) (Part 3) (Code and Pretrained Models)
Facebook
- Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction (Paper)
Alibaba - Search-based User Interest Modeling with Sequential Behavior Data for CTR Prediction (Paper)
Alibaba - Deep Learning for Electronic Health Records (Paper)
Google - Deep Learning for Understanding Consumer Histories (Paper)
Zalando - Continual Prediction of Notification Attendance with Classical and Deep Networks (Paper)
Telefonica - Using Recurrent Neural Network Models for Early Detection of Heart Failure Onset (Paper)
Sutter Health - Doctor AI: Predicting Clinical Events via Recurrent Neural Networks (Paper)
Sutter Health - How Duolingo uses AI in every part of its app
Duolingo - Leveraging Online Social Interactions For Enhancing Integrity at Facebook (Paper, Video)
Facebook
- Categorizing Listing Photos at Airbnb
Airbnb - Amenity Detection and Beyond — New Frontiers of Computer Vision at Airbnb
Airbnb - Powered by AI: Advancing product understanding and building new shopping experiences
Facebook - New AI Research to Help Predict COVID-19 Resource Needs From X-rays (Paper, Model)
Facebook - Creating a Modern OCR Pipeline Using Computer Vision and Deep Learning
Dropbox - How we Improved Computer Vision Metrics by More Than 5% Only by Cleaning Labelling Errors
Deepomatic - A Neural Weather Model for Eight-Hour Precipitation Forecasting (Paper)
Google - Machine Learning-based Damage Assessment for Disaster Relief (Paper)
Google - RepNet: Counting Repetitions in Videos (Paper)
Google - Converting Text to Images for Product Discovery (Paper)
Amazon - How Disney Uses PyTorch for Animated Character Recognition
Disney - Image Captioning as an Assistive Technology (Video)
IBM - AI for AG: Production machine learning for agriculture
Blue River - AI for Full-Self Driving at Tesla
Tesla - On-device Supermarket Product Recognition
Google - Using Machine Learning to Detect Deficient Coverage in Colonoscopy Screenings (Paper)
Google - Shop The Look: Building a Large Scale Visual Shopping System at Pinterest (Paper, Video)
Pinterest - Developing Real-Time, Automatic Sign Language Detection for Video Conferencing (Paper)
Google - Vision-based Price Suggestion for Online Second-hand Items (Paper)
Alibaba - Making machines recognize and transcribe conversations in meetings using audio and video
Microsoft - An Efficient Training Approach for Very Large Scale Face Recognition (Paper)
Alibaba - Identifying Document Types at Scribd
Scribd - Semi-Supervised Visual Representation Learning for Fashion Compatibility (Paper)
Walmart
- Deep Reinforcement Learning for Sponsored Search Real-time Bidding (Paper)
Alibaba - Dynamic Pricing on E-commerce Platform with Deep Reinforcement Learning (Paper)
Alibaba - Budget Constrained Bidding by Model-free Reinforcement Learning in Display Advertising (Paper)
Alibaba - Productionizing Deep Reinforcement Learning with Spark and MLflow
Zynga - Deep Reinforcement Learning in Production Part1 Part 2
Zynga - Building AI Trading Systems
Denny Britz - Reinforcement Learning for On-Demand Logistics
DoorDash - Reinforcement Learning to Rank in E-Commerce Search Engine (Paper)
Alibaba
- Detecting Performance Anomalies in External Firmware Deployments
Netflix - Detecting and Preventing Abuse on LinkedIn using Isolation Forests (Code)
LinkedIn - Preventing Abuse Using Unsupervised Learning
LinkedIn - The Technology Behind Fighting Harassment on LinkedIn
LinkedIn - Uncovering Insurance Fraud Conspiracy with Network Learning (Paper)
Ant Financial - How Does Spam Protection Work on Stack Exchange?
Stack Exchange - Auto Content Moderation in C2C e-Commerce
Mercari - Blocking Slack Invite Spam With Machine Learning
Slack - Cloudflare Bot Management: Machine Learning and More
Cloudflare - Anomalies in Oil Temperature Variations in a Tunnel Boring Machine
SENER - Using Anomaly Detection to Monitor Low-Risk Bank Customers
Rabobank - Fighting fraud with Triplet Loss
OLX Group - Facebook is Now Using AI to Sort Content for Quicker Moderation (Alternative)
Facebook - How AI is getting better at detecting hate speech Part 1, Part 2, Part 3, Part 4
Facebook - Deep Anomaly Detection with Spark and Tensorflow (Hopsworks Video)
Swedbank,Hopsworks
- Building The LinkedIn Knowledge Graph
LinkedIn - Retail Graph — Walmart’s Product Knowledge Graph
Walmart - Food Discovery with Uber Eats: Using Graph Learning to Power Recommendations
Uber - AliGraph: A Comprehensive Graph Neural Network Platform (Paper)
Alibaba - Scaling Knowledge Access and Retrieval at Airbnb
Airbnb - Contextualizing Airbnb by Building Knowledge Graph
Airbnb - Traffic Prediction with Advanced Graph Neural Networks
DeepMind - SimClusters: Community-Based Representations for Recommendations (Paper, Video)
Twitter - Metapaths guided Neighbors aggregated Network for Heterogeneous Graph Reasoning (Paper)
Alibaba - Graph Intention Network for Click-through Rate Prediction in Sponsored Search (Paper)
Alibaba - JEL: Applying End-to-End Neural Entity Linking in JPMorgan Chase (Paper)
JPMorgan Chase - Graph Convolutional Neural Networks for Web-Scale Recommender Systems (Paper)
Pinterest
- Unsupervised Extraction of Attributes and Their Values from Product Description (Paper)
Rakuten - Information Extraction from Receipts with Graph Convolutional Networks
Nanonets - Using Machine Learning to Index Text from Billions of Images
Dropbox - Extracting Structured Data from Templatic Documents (Paper)
Google - AutoKnow: self-driving knowledge collection for products of thousands of types (Paper, Video)
Amazon - One-shot Text Labeling using Attention and Belief Propagation for Information Extraction (Paper)
Alibaba
- Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale (Paper)
Google - Osprey: Weak Supervision of Imbalanced Extraction Problems without Code (Paper)
Intel - Overton: A Data System for Monitoring and Improving Machine-Learned Products (Paper)
Apple - Bootstrapping Conversational Agents with Weak Supervision (Paper)
IBM
- Managing ML Models @ Scale - Intuit’s ML Platform
Intuit - Operationalizing Machine Learning—Managing Provenance from Raw Data to Predictions
Comcast - Big Data Machine Learning Platform at Pinterest
Pinterest - Real-time Machine Learning Inference Platform at Zomato
Zomato - Meet Michelangelo: Uber’s Machine Learning Platform
Uber - Building Flexible Ensemble ML Models with a Computational Graph
DoorDash - LyftLearn: ML Model Training Infrastructure built on Kubernetes
Lyft - "You Don't Need a Bigger Boat": A Full Data Pipeline Built with Open-Source Tools (Paper)
Coveo - Core Modeling at Instagram
Instagram - Open-Sourcing Metaflow - a Human-Centric Framework for Data Science
Netflix - MLOps at GreenSteam: Shipping Machine Learning
GreenSteam - Machine Learning in Production: The Booking.com Approach
Booking - Rules of Machine Learning: Best Practices for ML Engineering
Google - Continuous Integration and Deployment for Machine Learning Online Serving and Models
Uber - Tuning Model Performance
Uber
- Building Inclusive Products Through A/B Testing (Paper)
LinkedIn - LiFT: A Scalable Framework for Measuring Fairness in ML Applications (Paper)
LinkedIn
- Successes and Challenges in Adopting Machine Learning at Scale at a Global Bank
Rabobank - Challenges in Deploying Machine Learning: a Survey of Case Studies (Paper)
Cambridge - The problem with AI developer tools for enterprises
Databricks - Building Scalable and Performant Marketing ML Systems at Wayfair
Wayfair - On Challenges in Machine Learning Model Management
Amazon