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JEPA (I-JEPA, V-JEPA) — LeCun's alternative to generative SSL.

hard

Answer

  • Predict abstract features (not pixels) of masked regions in embedding space.
  • Sidesteps pixel-level detail (irrelevant + wasteful) and models context predictively.
  • I-JEPA (images 2023): predicts feature representation of masked target block from context.
  • V-JEPA (video 2024): same for video.
  • Faster + more semantic representations than MAE.
  • LeCun's flagship 'world model' architecture.
Check yourself — multiple choice
  • Same as MAE
  • Predict abstract features (not pixels) of masked regions in embedding space; faster + more semantic than MAE; LeCun's 'world model' vision (I-JEPA, V-JEPA)
  • Random
  • Not real

JEPA: predict features (not pixels) of masked regions; LeCun's world model.

#representation-learning#deep-learning

Practise Unsupervised Learning

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