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mutual_information [2018/08/22 16:25]
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mutual_information [2018/10/02 10:19] (current)
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 Our method, which we call Deep INFOMAX (DIM), can be used to learn representations with desired characteristics and which empirically outperform a number of popular unsupervised learning methods on classification tasks. DIM opens new avenues for unsupervised learn-ing of representations and is an important step towards flexible formulations of representation learning objectives catered towards specific end-goals. Our method, which we call Deep INFOMAX (DIM), can be used to learn representations with desired characteristics and which empirically outperform a number of popular unsupervised learning methods on classification tasks. DIM opens new avenues for unsupervised learn-ing of representations and is an important step towards flexible formulations of representation learning objectives catered towards specific end-goals.
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 +https://​xbpeng.github.io/​projects/​VDB/​index.html Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow