Hacker News
- Scaling Down Deep Learning https://greydanus.github.io/2020/12/01/scaling-down/ 16 comments
- Scaling Down Deep Learning https://greydanus.github.io/2020/12/01/scaling-down/ 36 comments
Linking pages
- Jan 2021 Gwern.net Newsletter - Gwern.net Newsletter https://gwern.substack.com/p/jan-2021-gwernnet-newsletter 0 comments
- GitHub - greydanus/mnist1d: A 1D analogue of the MNIST dataset for measuring spatial biases and answering Science of Deep Learning questions. https://github.com/greydanus/mnist1d 0 comments
Linked pages
- [1803.03635] The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks https://arxiv.org/abs/1803.03635 32 comments
- GitHub - zalandoresearch/fashion-mnist: A MNIST-like fashion product database. Benchmark https://github.com/zalandoresearch/fashion-mnist 21 comments
- [1502.03492] Gradient-based Hyperparameter Optimization through Reversible Learning http://arxiv.org/abs/1502.03492 16 comments
- [1406.2661] Generative Adversarial Networks https://arxiv.org/abs/1406.2661 7 comments
- CIFAR-10 and CIFAR-100 datasets https://www.cs.toronto.edu/~kriz/cifar.html 6 comments
- [2004.08900] The Cost of Training NLP Models: A Concise Overview https://arxiv.org/abs/2004.08900 5 comments
- [1710.05941] Searching for Activation Functions https://arxiv.org/abs/1710.05941 5 comments
- [1312.6114] Auto-Encoding Variational Bayes https://arxiv.org/abs/1312.6114 4 comments
- MNIST handwritten digit database, Yann LeCun, Corinna Cortes and Chris Burges http://yann.lecun.com/exdb/mnist/ 0 comments
- [1412.6980] Adam: A Method for Stochastic Optimization http://arxiv.org/abs/1412.6980 0 comments
- [1912.02292] Deep Double Descent: Where Bigger Models and More Data Hurt https://arxiv.org/abs/1912.02292 0 comments
- GitHub - greydanus/mnist1d: A 1D analogue of the MNIST dataset for measuring spatial biases and answering Science of Deep Learning questions. https://github.com/greydanus/mnist1d 0 comments
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