ALBERT: A Lite BERT for Self-Supervised Learning of Language Representations
The On-Device Machine Learning Behind Recorder
Improving Out-of-Distribution Detection in Machine Learning Models
Improvements to Portrait Mode on the Google Pixel 4 and Pixel 4 XL
Fairness Indicators: Scalable Infrastructure for Fair ML Systems
Lessons Learned from Developing ML for Healthcare
Google at NeurIPS 2019
Understanding Transfer Learning for Medical Imaging
Developing Deep Learning Models for Chest X-rays with Adjudicated Image Labels
Astrophotography with Night Sight on Pixel Phones
RecSim: A Configurable Simulation Platform for Recommender Systems
New Solutions for Quantum Gravity with TensorFlow
SPICE: Self-Supervised Pitch Estimation
Introducing the Next Generation of On-Device Vision Models: MobileNetV3 and MobileNetEdgeTPU
New Insights into Human Mobility with Privacy Preserving Aggregation
Highlights from the 3rd Cohort of the Google AI Residency Program
The Visual Task Adaptation Benchmark
Learning to Assemble and to Generalize from Self-Supervised Disassembly
On-Device Captioning with Live Caption
Introducing the Schema-Guided Dialogue Dataset for Conversational Assistants
Google at ICCV 2019
A New Workflow for Collaborative Machine Learning Research in Biodiversity
Learning to Smell: Using Deep Learning to Predict the Olfactory Properties of Molecules
Quantum Supremacy Using a Programmable Superconducting Processor
Audio and Visual Quality Measurement Using Fréchet Distance
Video Architecture Search
Exploring Massively Multilingual, Massive Neural Machine Translation
ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots
Improving Quantum Computation with Classical Machine Learning
Releasing PAWS and PAWS-X: Two New Datasets to Improve Natural Language Understanding Models
Large-Scale Multilingual Speech Recognition with a Streaming End-to-End Model
Contributing Data to Deepfake Detection Research
An Inside Look at Flood Forecasting
Project Ihmehimmeli: Temporal Coding in Spiking Neural Networks
Google at Interspeech 2019
Using Deep Learning to Inform Differential Diagnoses of Skin Diseases
Learning Cross-Modal Temporal Representations from Unlabeled Videos
Recursive Sketches for Modular Deep Learning
Assessing the Quality of Long-Form Synthesized Speech
Announcing Two New Natural Language Dialog Datasets
Announcement of the 2019 Fellowship Awardees and Highlights from the Google PhD Fellowship Summit
Giving Lens New Reading Capabilities in Google Go
Exploring Weight Agnostic Neural Networks
Bi-Tempered Logistic Loss for Training Neural Nets with Noisy Data
Turbo, An Improved Rainbow Colormap for Visualization
On-Device, Real-Time Hand Tracking with MediaPipe
Joint Speech Recognition and Speaker Diarization via Sequence Transduction
Project Euphonia’s Personalized Speech Recognition for Non-Standard Speech
Video Understanding Using Temporal Cycle-Consistency Learning
EfficientNet-EdgeTPU: Creating Accelerator-Optimized Neural Networks with AutoML
An Interactive, Automated 3D Reconstruction of a Fly Brain
Robust Neural Machine Translation
Google at ACL 2019
Learning Better Simulation Methods for Partial Differential Equations
Building SMILY, a Human-Centric, Similar-Image Search Tool for Pathology
Parrotron: New Research into Improving Verbal Communication for People with Speech Impairments
Multilingual Universal Sentence Encoder for Semantic Retrieval
Advancing Semi-supervised Learning with Unsupervised Data Augmentation
Predicting the Generalization Gap in Deep Neural Networks
Announcing the YouTube-8M Segments Dataset
Predicting Bus Delays with Machine Learning
Innovations in Graph Representation Learning
Off-Policy Classification - A New Reinforcement Learning Model Selection Method
Google at CVPR 2019
Applying AutoML to Transformer Architectures
Google at ICML 2019
Introducing Google Research Football: A Novel Reinforcement Learning Environment
An Inside Look at Google Earth Timelapse
Introducing TensorNetwork, an Open Source Library for Efficient Tensor Calculations
EfficientNet: Improving Accuracy and Efficiency through AutoML and Model Scaling
Moving Camera, Moving People: A Deep Learning Approach to Depth Prediction
Introducing Translatotron: An End-to-End Speech-to-Speech Translation Model
An End-to-End AutoML Solution for Tabular Data at KaggleDays
Announcing Open Images V5 and the ICCV 2019 Open Images Challenge
Google at ICLR 2019
Announcing Google-Landmarks-v2: An Improved Dataset for Landmark Recognition & Retrieval
Announcing the 6th Fine-Grained Visual Categorization Workshop
Evaluating the Unsupervised Learning of Disentangled Representations
SpecAugment: A New Data Augmentation Method for Automatic Speech Recognition
MorphNet: Towards Faster and Smaller Neural Networks
Take Your Best Selfie Automatically, with Photobooth on Pixel 3
Capturing Special Video Moments with Google Photos
Using Deep Learning to Improve Usability on Mobile Devices
Unifying Physics and Deep Learning with TossingBot
Simulated Policy Learning in Video Models
Reducing the Need for Labeled Data in Generative Adversarial Networks
Measuring the Limits of Data Parallel Training for Neural Networks
A Summary of the Google Flood Forecasting Meets Machine Learning Workshop
Google Faculty Research Awards 2018
Harnessing Organizational Knowledge for Machine Learning
An All-Neural On-Device Speech Recognizer
Real-Time AR Self-Expression with Machine Learning
RNN-Based Handwriting Recognition in Gboard
Exploring Neural Networks with Activation Atlases
Introducing GPipe, an Open Source Library for Efficiently Training Large-scale Neural Network Models
Long-Range Robotic Navigation via Automated Reinforcement Learning
Learning to Generalize from Sparse and Underspecified Rewards
On the Path to Cryogenic Control of Quantum Processors
Introducing PlaNet: A Deep Planning Network for Reinforcement Learning
Using Global Localization to Improve Navigation
Announcing the Second Workshop and Challenge on Learned Image Compression
Real-time Continuous Transcription with Live Transcribe
Transformer-XL: Unleashing the Potential of Attention Models
Natural Questions: a New Corpus and Challenge for Question Answering Research
Expanding the Application of Deep Learning to Electronic Health Records
Soft Actor-Critic: Deep Reinforcement Learning for Robotics
Looking Back at Google’s Research Efforts in 2018
