FastML. X-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs, with Yann LeCun as the last author...

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  • Fake Kanji characters generated from a LSTM-Mixture Density Network in SVG Format using sketch-rnn. Code available on github. Note: Kanji (漢字) is the Japanese pronunciation for Chinese Characters, and I use these two terms interchangeably depending...

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  • Yann LeCun's answers from the Reddit AMA - FastML

    On May 15th Yann LeCun answered “ask me anything” questions on Reddit. We hand-picked some of his thoughts and grouped them by topic for …

  • FastML

    The paper, X-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs, with Yann LeCun as the last author, is about …

  • Yann LeCun's answers from the Reddit AMA - FastML

    FastML 2014-05-26 On May 15th Yann LeCun answered “ask me anything” questions on Reddit. We hand-picked some of his thoughts and grouped them by topic for your enjoyment. Toronto, Montreal and New Yor...

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