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태그: representation-learning

6건의 항목

  • 2026년 6월 04일

    A Simple Framework for Contrastive Learning of Visual Representation

    • paper
    • self-supervised-learning
    • contrastive-learning
    • computer-vision
    • representation-learning
    • simclr
    • icml2020
    • architecture
  • 2026년 6월 04일

    Emerging Properties in Self-Supervised Vision Transformers

    • paper
    • self-supervised-learning
    • self-distillation
    • vision-transformer
    • momentum-encoder
    • emergent-properties
    • representation-learning
    • image-recognition
  • 2026년 6월 04일

    Learning and Leveraging World Models in Visual Representation Learning

    • paper
    • self-supervised-learning
    • world-model
    • JEPA
    • vision-transformer
    • representation-learning
    • equivariance
  • 2026년 6월 04일

    Masked Autoencoders Are Scalable Vision Learners

    • paper
    • self-supervised-learning
    • masked-autoencoder
    • masked-image-modeling
    • vision-transformer
    • representation-learning
  • 2026년 6월 04일

    Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture

    • paper
    • self-supervised-learning
    • jepa
    • representation-learning
    • vision-transformer
    • world-model
    • masked-image-modeling
  • 2026년 6월 04일

    Understanding intermediate layers using linear classifier probes

    • XAI
    • interpretability
    • linear-probe
    • representation-learning
    • deep-learning
    • theory
    • alain-bengio
    • iclr2017

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