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NNCLR is a self-supervised learning approach as proposed in the paper "With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations" [1], by Google Research and DeepMind pre-trained on STL-10.

The training code was contributed by me on Keras Examples and could be found here.

References

[1] Dwibedi, Debidatta, et al. “With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations.” ArXiv:2104.14548 [Cs], Apr. 2021. arXiv.org, http://arxiv.org/abs/2104.14548


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@google-cla google-cla bot added the cla: yes label Sep 25, 2021
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By opening this pull request, you are agreeing to the TensorFlow Hub Terms of Service at www.tfhub.dev/terms and Google's Privacy Policy at https://www.google.com/policies/privacy, and your pull request is being reviewed.

@Rishit-dagli Rishit-dagli changed the title Add NNCLR pre-trainedmodels Add NNCLR pre-trained models Sep 25, 2021
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@WGierke WGierke left a comment

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Thanks @Rishit-dagli for providing this model! Would you mind addressing the one comment I left?

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Thanks @WGierke for the review, added those.

copybara-service bot pushed a commit that referenced this pull request Sep 28, 2021
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c16d5ab by Rishit Dagli <rishit.dagli@gmail.com>:

Add STL-10 to datasets

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8e7e76c by Rishit Dagli <rishit.dagli@gmail.com>:

Add NNCLR to network architectures

COPYBARA_INTEGRATE_REVIEW=#86 from Rishit-dagli:Rishit-dagli-nnclr-models 9306436
PiperOrigin-RevId: 399389142
@WGierke WGierke merged commit a6b9946 into tensorflow:master Sep 28, 2021
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Thank you for your contribution. Your pull request has been accepted according to the TensorFlow Hub Terms of Service at www.tfhub.dev/terms and Google's Privacy Policy at https://www.google.com/policies/privacy. Your model should appear on tfhub.dev within a day.

@Rishit-dagli Rishit-dagli deleted the Rishit-dagli-nnclr-models branch September 28, 2021 10:38
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2 participants