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View Code? Open in Web Editor NEW[ICLR 2021] Anchor & Transform: Learning Sparse Embeddings for Large Vocabularies
[ICLR 2021] Anchor & Transform: Learning Sparse Embeddings for Large Vocabularies
How to train a language model with ANT? The repo only has recommender system examples.
For language modeling , are the following steps correct?
1.Initializing anchors(vectors) by choosing the most frequent objects or clustering base on pretrained language model such as Glove(E).
2.optimize equation(1) with lstm.
How to indicate input("[s] I love you [/s]") and y("I love you [/s]") ? Is it the same as the traditional way just like torch.nn.Embedding)?
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