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@The-Learning-Machines

The Learning Machines

The Learning Machines

  • An Independent, self-funded research group.
  • We conduct research in Machine Learning (open-interests).
  • Some of our work has been accepted to Top-tier conferences.

Publications

If:

  • you are new to ML and want to get some research experience,
  • or have a research idea that you want to collaborate on, contact Surya Kant Sahu.

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  1. RethinkingNNsWithBLRethinkingNNsWithBLPublic

    Code for the paper "Rethinking Neural Networks with Benford's Law" (NeurIPS 2021 ML4PS Workshop)

    Jupyter Notebook 1

  2. SBRSBRPublic

    PyTorch Implementation of Introducing Self-Attention to Target Attentive Graph Neural Networks (AISP '22)

    Python 27 8

  3. LearningWithRetrospectionLearningWithRetrospectionPublic

    PyTorch Implementation of the paper titled "Learning with Retrospection"

    Python 3

  4. ConformerViTConformerViTPublic

    ViT + Conformer = ( ͡❛ ͜ʖ ͡❛)👌

    Python 9 4

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