2021 blog posts
- Algorithms & Theory
- Climate & Sustainability
- Conferences & Events
- Data Management
- Data Mining & Modeling
- Distributed Systems & Parallel Computing
- Economics & Electronic Commerce
- Education Innovation
- General Science
- Generative AI
- Global
- Hardware & Architecture
- Health & Bioscience
- Human-Computer Interaction and Visualization
- Machine Intelligence
- Machine Perception
- Machine Translation
- Mobile Systems
- Natural Language Processing
- Networking
- Open Source Models & Datasets
- Photography
- Product
- Programs
- Quantum
- RAI-HCT Highlights
- Responsible AI
- Robotics
- Security, Privacy and Abuse Prevention
- Software Systems & Engineering
- Sound & Accoustics
- Speech Processing
- Year in Review
Filter by month
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December 16, 2021
A Scalable Approach for Partially Local Federated Learning- Algorithms & Theory ·
- Distributed Systems & Parallel Computing ·
- Mobile Systems ·
- Security, Privacy and Abuse Prevention
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December 15, 2021
Training Machine Learning Models More Efficiently with Dataset Distillation -
December 13, 2021
Interpretable Deep Learning for Time Series Forecasting- Machine Intelligence
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December 10, 2021
A Fast WordPiece Tokenization System- Algorithms & Theory ·
- Natural Language Processing
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December 9, 2021
More Efficient In-Context Learning with GLaM- Machine Intelligence ·
- Natural Language Processing
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December 8, 2021
General and Scalable Parallelization for Neural Networks- Distributed Systems & Parallel Computing ·
- Machine Intelligence
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December 7, 2021
Improving Vision Transformer Efficiency and Accuracy by Learning to Tokenize- Machine Intelligence ·
- Machine Perception
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December 6, 2021
Google at NeurIPS 2021- Conferences & Events
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December 2, 2021
Evaluating Syntactic Abilities of Language Models- Conferences & Events ·
- Natural Language Processing
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December 1, 2021
RLDS: An Ecosystem to Generate, Share, and Use Datasets in Reinforcement Learning- Open Source Models & Datasets