Image-Text Pre-training with Contrastive Captioners
https://ai.googleblog.com/2022/05/image-text-pre-training-with.html
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Image-Text Pre-training with Contrastive Captioners
Posted by Zirui Wang and Jiahui Yu, Research Scientists, Google Research, Brain Team Oftentimes, machine learning (ML) model developers begin their...
Deep Learning with Label Differential Privacy
https://ai.googleblog.com/2022/05/deep-learning-with-label-differential.html
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Deep Learning with Label Differential Privacy
Posted by Pasin Manurangsi and Chiyuan Zhang, Research Scientists, Google Research Over the last several years, there has been an increased focus ...
End-to-end Generative Pre-training for Multimodal Video Captioning
https://ai.googleblog.com/2022/06/end-to-end-generative-pre-training-for.html
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https://ai.googleblog.com/2022/06/end-to-end-generative-pre-training-for.html
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End-to-end Generative Pre-training for Multimodal Video Captioning
Posted by Paul Hongsuck Seo and Arsha Nagrani, Research Scientists, Google Research, Perception Team Multimodal video captioning systems utilize bo...
LIMoE: Learning Multiple Modalities with One Sparse Mixture of Experts Model
https://ai.googleblog.com/2022/06/limoe-learning-multiple-modalities-with.html
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LIMoE: Learning Multiple Modalities with One Sparse Mixture-of-Experts Model
Posted by Basil Mustafa, Research Software Engineer and Carlos Riquelme, Research Scientist, Google Research, Brain team Sparse models stand out am...
https://blog.tensorflow.org/2022/06/Adding-Quantization-aware-Training-and-Pruning-to-the-TensorFlow-Model-Garden.html
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Adding Quantization-aware Training and Pruning to the TensorFlow Model Garden
We are excited to announce that we are extending the TFMOT model coverage to popular computer vision models in the TensorFlow Model Garden.
Scanned Objects by Google Research: A Dataset of 3D-Scanned Common Household Items
https://ai.googleblog.com/2022/06/scanned-objects-by-google-research.html
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Scanned Objects by Google Research: A Dataset of 3D-Scanned Common Household Items
Mapping Urban Trees Across North America with the Auto Arborist Dataset
https://ai.googleblog.com/2022/06/mapping-urban-trees-across-north.html
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Mapping Urban Trees Across North America with the Auto Arborist Dataset
Quantum Advantage in Learning from Experiments
https://ai.googleblog.com/2022/06/quantum-advantage-in-learning-from.html
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Quantum Advantage in Learning from Experiments
Posted by Jarrod McClean, Staff Research Scientist, Google Quantum AI, and Hsin-Yuan Huang, Graduate Student, Caltech In efforts to learn about the...
https://blog.tensorflow.org/2022/06/%20bringing-machine-learning-to-every-developers-toolbox.html
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Bringing Machine Learning to every developer’s toolbox
TensorFlow is now being downloaded over 18M times per month and has amassed 166k stars on GitHub – more than any other ML framework.
Minerva: Solving Quantitative Reasoning Problems with Language Models
https://ai.googleblog.com/2022/06/minerva-solving-quantitative-reasoning.html
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https://ai.googleblog.com/2022/06/minerva-solving-quantitative-reasoning.html
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Minerva: Solving Quantitative Reasoning Problems with Language Models
Posted by Ethan Dyer and Guy Gur-Ari, Research Scientists, Google Research, Blueshift Team Language models have demonstrated remarkable performance...
Identifying Disfluencies in Natural Speech
https://ai.googleblog.com/2022/06/identifying-disfluencies-in-natural.html
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https://ai.googleblog.com/2022/06/identifying-disfluencies-in-natural.html
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Identifying Disfluencies in Natural Speech
Posted by Dan Walker and Dan Liebling, Software Engineers, Google Research People don’t write in the same way that they speak. Written language is ...
MLGO: A Machine Learning Framework for Compiler Optimization
https://ai.googleblog.com/2022/07/mlgo-machine-learning-framework-for.html
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MLGO: A Machine Learning Framework for Compiler Optimization