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  1. Open Sourcing BERT: State-of-the-Art Pre-training for Natural Language Processing
  2. Google at EMNLP 2018
  3. Introducing AdaNet: Fast and Flexible AutoML with Learning Guarantees
  4. Acoustic Detection of Humpback Whales Using a Convolutional Neural Network
  5. Curiosity and Procrastination in Reinforcement Learning
  6. Fluid Annotation: An Exploratory Machine Learning–Powered Interface for Faster Image Annotation
  7. Fluid Annotation: An Exploratory Machine Learning–Powered Interface for Faster Image Annotation
  8. See Better and Further with Super Res Zoom on the Pixel 3
  9. Applying Deep Learning to Metastatic Breast Cancer Detection
  10. Open Sourcing Active Question Reformulation with Reinforcement Learning
  11. Highlights from the Google AI Residency Program
  12. Introducing the Kaggle “Quick, Draw!” Doodle Recognition Challenge
  13. Building Google Dataset Search and Fostering an Open Data Ecosystem
  14. Google’s Next Generation Music Recognition
  15. Introducing the Unrestricted Adversarial Examples Challenge
  16. The What-If Tool: Code-Free Probing of Machine Learning Models
  17. Text-to-Speech for Low-Resource Languages (Episode 4): One Down, 299 to Go
  18. Introducing the Inclusive Images Competition
  19. Conceptual Captions: A New Dataset and Challenge for Image Captioning
  20. Understanding Performance Fluctuations in Quantum Processors
  21. Teaching the Google Assistant to be Multilingual
  22. Introducing a New Framework for Flexible and Reproducible Reinforcement Learning Research
  23. Moving Beyond Translation with the Universal Transformer
  24. The Machine Learning Behind Android Smart Linkify
  25. MnasNet: Towards Automating the Design of Mobile Machine Learning Models
  26. Machine Learning in Google BigQuery
  27. Machine Learning in Google BigQuery
  28. Announcing Cirq: An Open Source Framework for NISQ Algorithms
  29. Improving Connectomics by an Order of Magnitude
  30. Accelerated Training and Inference with the Tensorflow Object Detection API
  31. Automating Drug Discoveries Using Computer Vision
  32. Google at ICML 2018
  33. Google at CVPR 2018
  34. Scalable Deep Reinforcement Learning for Robotic Manipulation
  35. Self-Supervised Tracking via Video Colorization
  36. Teaching Uncalibrated Robots to Visually Self-Adapt
  37. How Can Neural Network Similarity Help Us Understand Training and Generalization?
  38. Google at NAACL
  39. Realtime tSNE Visualizations with TensorFlow.js
  40. Announcing an updated YouTube-8M, and the 2nd YouTube-8M Large-Scale Video Understanding Challenge and Workshop
  41. Improving Deep Learning Performance with AutoAugment
  42. Introducing Google AI
  43. Advances in Semantic Textual Similarity
  44. Smart Compose: Using Neural Networks to Help Write Emails
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