Linking pages
- Google Research: Themes from 2021 and Beyond – Google AI Blog https://ai.googleblog.com/2022/01/google-research-themes-from-2021-and.html 52 comments
- Are Under-Curated Hyperscale AI Datasets Worse Than The Internet Itself? - Unite.AI https://www.unite.ai/are-under-curated-hyperscale-ai-datasets-worse-than-the-internet-itself/ 1 comment
- Google at ICML 2021 – Google AI Blog https://ai.googleblog.com/2021/07/google-at-icml-2021.html 0 comments
- SimVLM: Simple Visual Language Model Pre-training with Weak Supervision – Google AI Blog https://ai.googleblog.com/2021/10/simvlm-simple-visual-language-model-pre.html 0 comments
Linked pages
- [2005.14165] Language Models are Few-Shot Learners https://arxiv.org/abs/2005.14165 201 comments
- Artificial neural network - Wikipedia https://en.wikipedia.org/wiki/artificial_neural_network 27 comments
- ImageNet http://image-net.org/index 12 comments
- [2104.00298] EfficientNetV2: Smaller Models and Faster Training https://arxiv.org/abs/2104.00298 6 comments
- CIFAR-10 and CIFAR-100 datasets https://www.cs.toronto.edu/~kriz/cifar.html 6 comments
- https://www.cs.toronto.edu/~rsalakhu/papers/srivastava14a.pdf 5 comments
- Redirect http://www.fast.ai/2018/08/10/fastai-diu-imagenet/ 4 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
- Convolution - Wikipedia https://en.wikipedia.org/wiki/Convolution#Discrete_convolution 3 comments
- Regularization (mathematics) - Wikipedia https://en.wikipedia.org/wiki/Regularization_(mathematics) 2 comments
- Transformers for Image Recognition at Scale – Google AI Blog https://ai.googleblog.com/2020/12/transformers-for-image-recognition-at.html 1 comment
- [2106.04803] CoAtNet: Marrying Convolution and Attention for All Data Sizes https://arxiv.org/abs/2106.04803 1 comment
- Google AI Blog: MnasNet: Towards Automating the Design of Mobile Machine Learning Models https://ai.googleblog.com/2018/08/mnasnet-towards-automating-design-of.html 0 comments
- GitHub - google/automl: Google Brain AutoML https://github.com/google/automl 0 comments
- Revisiting the Unreasonable Effectiveness of Data – Google AI Blog https://ai.googleblog.com/2017/07/revisiting-unreasonable-effectiveness.html 0 comments
- EfficientNet: Improving Accuracy and Efficiency through AutoML and Model Scaling – Google AI Blog https://ai.googleblog.com/2019/05/efficientnet-improving-accuracy-and.html 0 comments
- Overfitting - Wikipedia http://en.wikipedia.org/wiki/Overfitting 0 comments
- [2010.11929] An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale https://arxiv.org/abs/2010.11929 0 comments
- [1710.10196] Progressive Growing of GANs for Improved Quality, Stability, and Variation https://arxiv.org/abs/1710.10196 0 comments
- Inductive bias - Wikipedia https://en.wikipedia.org/wiki/Inductive_bias 0 comments
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