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[1807.07543] Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer
"Autoencoders provide a powerful framework for learning compressed representations by encoding all of the information needed to reconstruct a data point in a latent code. In some cases, autoencoders can "interpolate": By decoding the convex combination of the latent codes for two datapoints, the autoencoder can produce an output which semantically mixes characteristics from the datapoints. In this paper, we propose a regularization procedure which encourages interpolated outputs to appear more realistic by fooling a critic network which has been trained to recover the mixing coefficient from interpolated data. We then develop a simple benchmark task where we can quantitatively measure the extent to which various autoencoders can interpolate and show that our regularizer dramatically improves interpolation in this setting. We also demonstrate empirically that our regularizer produces latent codes which are more effective on downstream tasks, suggesting a possible link between interpolation abilities and learning useful representations."
autoencoder  regularization  gan 
8 weeks ago by arsyed
dreasysnail/textCNN_public
GitHub is where people build software. More than 28 million people use GitHub to discover, fork, and contribute to over 85 million projects.
tensorflow  convolutional  seq2seq  autoencoder  deep-learning  github 
10 weeks ago by nharbour
ymym3412/textcnn-conv-deconv-pytorch: text convolution-deconvolution auto-encoder model in PyTorch
GitHub is where people build software. More than 28 million people use GitHub to discover, fork, and contribute to over 85 million projects.
pytorch  convolutional  seq2seq  autoencoder  deep-learning  github 
10 weeks ago by nharbour
Seq2Seq-PyTorch/nmt_autoencoder.py at master · MaximumEntropy/Seq2Seq-PyTorch
GitHub is where people build software. More than 28 million people use GitHub to discover, fork, and contribute to over 85 million projects.
autoencoder  pytorch  nlp  lstm  deep-learning  seq2seq 
10 weeks ago by nharbour

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