ARAE

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I found that the provided weights work quite well when I generate samples. However, if I train the model with the provided script(the same setting), the result is very pool....

yanghoonkim

Kindly suggest how to generate sentences (after training) conditioned on a label for eg., positive sentiment along with the conditioning on latent z.

Jayashree-Pougajendy

data type error

sangwon38383

data type error

sangwon38383

load options.json and vocab.json

sangwon38383

Lack of default value

yanghoonkim

Error when running yelp/train.py

9

I followed README.md and ran ` python train.py --data_path ./data` But then I got the following errors: ``` {'dropout': 0.0, 'lr_ae': 1, 'load_vocab': '', 'nlayers': 1, 'batch_size': 64, 'beta1': 0.5,...

jiwoongim

I found that in the function train_gan_d(), the loss_fake and loss_real are in the opposite direction with the original paper. I was wondering is it correct or not?

shizhediao

TypeError: normal() received an invalid combination of arguments - got (means=Tensor, std=float, ),

1

Hi, when I run run_snli.py, it does not work. :'( >> python run_snli.py --data_path ./data/snli_lm --no_earlystopping then..I encountered the TypeError as below. Do you know any solutions? Traceback (most recent...

hyeseonko

I am wondering how to use this code to perform the "offset vector transformation" examples in the paper, such as substituting "clapping" with "walking" and altering the entire input sentence...

styfeng