Linking pages
- Google AI Introduces OptFormer: The First Transformer-Based Framework For Hyperparameter Tuning - MarkTechPost https://www.marktechpost.com/2022/08/22/google-ai-introduces-optformer-the-first-transformer-based-framework-for-hyperparameter-tuning/ 0 comments
- Open Source Vizier: Towards reliable and flexible hyperparameter and blackbox optimization – Google AI Blog https://ai.googleblog.com/2023/02/open-source-vizier-towards-reliable-and.html 0 comments
- Neural machine translation with a Transformer and Keras | Text | TensorFlow https://www.tensorflow.org/text/tutorials/transformer 0 comments
Linked pages
- Competitive programming with AlphaCode https://www.deepmind.com/blog/competitive-programming-with-alphacode 295 comments
- Pathways Language Model (PaLM): Scaling to 540 Billion Parameters for Breakthrough Performance – Google AI Blog https://ai.googleblog.com/2022/04/pathways-language-model-palm-scaling-to.html 279 comments
- Gaussian process - Wikipedia https://en.wikipedia.org/wiki/Gaussian_process#Usual_covariance_functions 19 comments
- LaMDA: Towards Safe, Grounded, and High-Quality Dialog Models for Everything – Google AI Blog https://ai.googleblog.com/2022/01/lamda-towards-safe-grounded-and-high.html 11 comments
- [1512.03385] Deep Residual Learning for Image Recognition http://arxiv.org/abs/1512.03385 6 comments
- Evolving Reinforcement Learning Algorithms – Google AI Blog https://ai.googleblog.com/2021/04/evolving-reinforcement-learning.html 3 comments
- Transformer: A Novel Neural Network Architecture for Language Understanding – Google AI Blog https://ai.googleblog.com/2017/08/transformer-novel-neural-network.html 3 comments
- Transformers for Image Recognition at Scale – Google AI Blog https://ai.googleblog.com/2020/12/transformers-for-image-recognition-at.html 1 comment
- Thompson sampling - Wikipedia https://en.wikipedia.org/wiki/Thompson_sampling 1 comment
- Offline Optimization for Architecting Hardware Accelerators – Google AI Blog https://ai.googleblog.com/2022/03/offline-optimization-for-architecting.html 0 comments
- Rosenbrock function - Wikipedia https://en.wikipedia.org/wiki/Rosenbrock_function 0 comments
- Google AI Blog: Using Deep Learning to Annotate the Protein Universe https://ai.googleblog.com/2022/03/using-deep-learning-to-annotate-protein.html 0 comments
- Using Evolutionary AutoML to Discover Neural Network Architectures – Google AI Blog https://ai.googleblog.com/2018/03/using-evolutionary-automl-to-discover.html 0 comments
- Top Shot on Pixel 3 – Google AI Blog https://ai.googleblog.com/2018/12/top-shot-on-pixel-3.html 0 comments
- Hyperparameter optimization - Wikipedia https://en.wikipedia.org/wiki/Hyperparameter_optimization 0 comments
- https://dl.acm.org/doi/pdf/10.1145/3097983.3098043 0 comments
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