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@maple-research-lab

Lab for MAchine Perception and LEarning (MAPLE)

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  1. AdCo AdCo Public

    AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries

    Python 163 20

  2. AET AET Public

    Auto-Encoding Transformations (AETv1), CVPR 2019

    Python 108 28

  3. SLOT SLOT Public

    Python 103 1

  4. EnAET EnAET Public

    EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning

    Python 82 6

  5. SIM SIM Public

    Inference-only implementation of "One-Step Diffusion Distillation through Score Implicit Matching" [NIPS 2024]

    Python 82 3

  6. CLSA CLSA Public

    official implemntation for "Contrastive Learning with Stronger Augmentations"

    Python 58 13

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