Hacker News
- A New Lens on Understanding Generalization in Deep Learning https://ai.googleblog.com/2021/03/a-new-lens-on-understanding.html 35 comments
Linking pages
Linked pages
- [2005.14165] Language Models are Few-Shot Learners https://arxiv.org/abs/2005.14165 201 comments
- [1611.03530] Understanding deep learning requires rethinking generalization https://arxiv.org/abs/1611.03530 24 comments
- ImageNet http://image-net.org/index 12 comments
- [1502.03167] Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift http://arxiv.org/abs/1502.03167 6 comments
- CIFAR-10 and CIFAR-100 datasets https://www.cs.toronto.edu/~kriz/cifar.html 6 comments
- [1512.03385] Deep Residual Learning for Image Recognition http://arxiv.org/abs/1512.03385 6 comments
- [1710.05941] Searching for Activation Functions https://arxiv.org/abs/1710.05941 5 comments
- [2006.11239] Denoising Diffusion Probabilistic Models https://arxiv.org/abs/2006.11239 2 comments
- http://www.iro.umontreal.ca/~vincentp/ift3395/lectures/backprop_old.pdf 1 comment
- [2010.08127] The Deep Bootstrap Framework: Good Online Learners are Good Offline Generalizers https://arxiv.org/abs/2010.08127 1 comment
- [1912.02178] Fantastic Generalization Measures and Where to Find Them https://arxiv.org/abs/1912.02178 1 comment
- [1910.10683] Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer https://arxiv.org/abs/1910.10683 1 comment
- [1801.06146] Universal Language Model Fine-tuning for Text Classification https://arxiv.org/abs/1801.06146 0 comments
- [1412.6980] Adam: A Method for Stochastic Optimization http://arxiv.org/abs/1412.6980 0 comments
- [1409.4842] Going Deeper with Convolutions http://arxiv.org/abs/1409.4842 0 comments
- [2010.11929] An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale https://arxiv.org/abs/2010.11929 0 comments
- Supervised learning - Wikipedia http://en.wikipedia.org/wiki/Supervised_learning 0 comments
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