XML-CNN
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siddsax
Pytorch implementation of the paper Deep learning for extreme multi-label text classification
Hi, when I got into the link of the RCV dataset, I found "404 not found", could you provide another link of the RCV dataset? If possible could you provide...
Saving Model to: Gen_data_CNN_Z_dim-100_mb_size-20_hidden_dims-512_preproc-0_loss-BCELoss_sequence_length-500_embedding_dim-300_params.vocab_size=30000 Traceback (most recent call last): File "main.py", line 57, in x_tr, x_te, y_tr, y_te, params.vocabulary, params.vocabulary_inv, params = save_load_data(params, save=params.load_data) File "../utils\futils.py", line 153, in save_load_data...
Hi siddsax, I wanna ask about the pooling layer because you're using a sliding max pooling. XML-CNN use dynamic max pooling with the definition "For a p document with m...
The output topK's K is fixed now. Do you think training a classifier to predict the value of K for every input is a good solution? Thank you very much.
Hi there, I am interested in trying XML-CNN on my own dataset. I have collection of documents, and their labels. Could you please help me understand how I can feed...
