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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. SLOT SLOT Public

    Python 111 3

  3. AET AET Public

    Auto-Encoding Transformations (AETv1), CVPR 2019

    Python 109 28

  4. SIM SIM Public

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

    Python 84 3

  5. EnAET EnAET Public

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

    Python 81 6

  6. LLaDOU LLaDOU Public

    Implementation of "Reinforcing the Diffusion Chain of Lateral Thought with Diffusion Language Models"

    Python 68 4

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