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Reformer NAS inference http://pyro.ai/examples/dmm.html https://github.com/facebookresearch/clevr-iep this will bring our total model count into 12, which we can layout 3*4 manner in the paper. However, I am also thinking of Meta Learning with: CNN LSTM. maybe we should replace a normal CNN/LSTM example with those. MAML itself use CNN. https://github.com/twitter/meta-learning-lstm https://github.com/cflamant/neural-stack Adaptive Computation Time https://github.com/kentsommer/pytorch-value-iteration-networks/blob/master/model.py https://github.com/ikostrikov/pytorch-meta-optimizer/blob/master/meta_optimizer.py
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Reformer
NAS inference
http://pyro.ai/examples/dmm.html
https://github.com/facebookresearch/clevr-iep
this will bring our total model count into 12, which we can layout 3*4 manner in the paper.
However, I am also thinking of Meta Learning with:
CNN
LSTM.
maybe we should replace a normal CNN/LSTM example with those.
MAML itself use CNN.
https://github.com/twitter/meta-learning-lstm
https://github.com/cflamant/neural-stack
Adaptive Computation Time
https://github.com/kentsommer/pytorch-value-iteration-networks/blob/master/model.py
https://github.com/ikostrikov/pytorch-meta-optimizer/blob/master/meta_optimizer.py
The text was updated successfully, but these errors were encountered: