Comments (4)
- This work is inherited from the SeqGAN (http://www.aaai.org/Conferences/AAAI/2017/PreliminaryPapers/12-Yu-L-14344.pdf), this work use CNN as a discriminator. Other good works like RankGAN
, (Adversarial Feature Matching for Text Generation ) are also use a CNN as a discriminator. - CNN is a choice for a discriminator. In fact, we also try using LSTM as a discriminator, it also has a good performance, but limited by speed.
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Thanks for your clarification and in particular telling my that LSTM worked not significantly better than CNN.
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Sorry, I mean that LSTM limited by the speed because of its bad parallelization. While the performance of LSTM depends on the specific task.
from leakgan.
I see. It'd be interesting to try with Transformer. Sorry but I have three questions remaining.
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In SeqGAN issue page, LantaoYu theoretically justified training G once for each 15 steps of D updates. But did you guys empirically verify that the 1:15 ratio was good?
-
In the adversarial training, it was trained for 800 batches only. Is this small number due to fast convergence or considerable amount of training time?
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Does the discriminator of LeakGAN receive unfinished real sentences as well, to discriminate them from unfinished fake sentences? If all the discriminator receives are real finished sentences and fake finished and unfinished sentences, then it's trivial to discriminate them by judging the one with comma at the end to be real one. But in this way, the discriminator cannot learn much. How is this avoided in your algorithm?
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Related Issues (20)
- leakgan----generator
- ERROR:tensorflow:Couldn't match files for checkpoint ./ckpts/feugan_preD
- Number of batches
- Rewards don't change while training HOT 7
- Interleaved Training is not used in your code?
- Where is the real data inputed? HOT 1
- I think the Bootstrapped Rescaled Activation in the code is not useful HOT 3
- The code could not run HOT 1
- What is the difference between LeakGAN and LM for text generation?
- Have you try pretrain the generator by using the next-word-predict loss?
- What is the difference between gen_x and the result of rollout?
- Can not understand why use the generated result for the feeding here... Thank you very much...
- What is the latent space in this GAN model? HOT 1
- Custom dataset HOT 1
- I can't get the same results as the paper. HOT 6
- GPU Usage
- Modulo by Zero error when attempting to train on custom dataset
- Get “ValueError: No gradients provided for any variable” when running Image_COCO.Main
- What is vocab_cotra.pkl file and how to generate it?
- How to create a vocab file for the dataset ? Can you please share the code for it ?
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