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adityakusupati committed Nov 13, 2018
1 parent 0faed7c commit ea05d388323ceeba5077da4142f1bbb8048649c8
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@@ -15,7 +15,7 @@ This repository contains algorithms that shine in this setting in terms of both
- **Bonsai**: Strong and shallow non-linear tree based classifier.
- **ProtoNN**: **Proto**type based k-nearest neighbors (k**NN**) classifier.
- **EMI-RNN**: Training routine to recover the critical signature from time series data for faster and accurate RNN predictions.
- **Fast(G)RNN**: **F**ast, **A**ccurate, **S**table and **T**iny (**G**ated) RNN cells.
- **FastRNN & FastGRNN - FastCells**: **F**ast, **A**ccurate, **S**table and **T**iny (**G**ated) RNN cells.
These algorithms can train models for classical supervised learning problems
with memory requirements that are orders of magnitude lower than other modern
@@ -34,7 +34,7 @@ page]( and our ICML'17 publications
on [Bonsai](docs/publications/Bonsai.pdf) and
[ProtoNN](docs/publications/ProtoNN.pdf) algorithms, NIPS'18 publications on
[EMI-RNN](docs/publications/emi-rnn-nips18.pdf) and
Core Contributors:

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