Dataset Distillation using Random Feature Approximation

Invention type: Technology / Case number: #24329
License tlo.mit.edu/contact-us

Researchers

Daniela Rus / Alexander Amini / Ramin Hasani / Noel Loo

Departments: Dept of Electrical Engineering & Computer Science, Computer Science & Artificial Intelligence Lab, Electrical Eng & Computer Sci
Technology Areas: Artificial Intelligence (AI) and Machine Learning (ML)
Impact Areas: Connected World

  • systems and methods for efficient dataset distillation using non-deterministic feature approximation
    United States of America | Pending
  • systems and methods for efficient dataset distillation using non-deterministic feature approximation
    Patent Cooperation Treaty | Pending

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