Comments (1)
First, let me try to understand: By training a model on the Quora Question Pair, your goal is to generate a rephrasing sentence conditioned on a given sentence. Is that correct? If this is the case, I think itβs worthy to have a try by adding an encoder to take a sentence as its input and modifying the current RelGAN correspondingly to be a conditional GAN.
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Related Issues (20)
- NLL_gen loss with initialization HOT 14
- Where generated text is being stored? HOT 1
- How much time it took to run a single cycle of 5 discriminator steps and 1 generator step during the adversarial training? HOT 3
- Overfitting during Pretraining HOT 3
- AttributeError: module 'tensorflow' has no attribute 'truncated_normal_initializer' HOT 1
- Teacher Forcing during Adversarial Training HOT 1
- Facing the error HOT 8
- Why Gumbel-Softmax relaxation applied in sample generation? HOT 4
- Dis loss decays to zero while training oracle HOT 3
- How do i train the model with my own data? HOT 2
- Loss function for LSTM based model HOT 1
- LICENSE? HOT 2
- Questions on reproducing the results HOT 18
- How long is expected to take to complete the pre-training stage (on single GPU) ? HOT 4
- Thank you for your contribution. Can you briefly explain how to run and validate your model? HOT 1
- Improving sample output quality RELGAN. HOT 2
- my idea of metric on diversity. HOT 6
- [Self-BLEU] what metric values do you get? HOT 4
- Closed. HOT 3
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from relgan.