Error Quantification and Complexity Limits of Deep Learning Models

Abstract

Only $5000 of the total grant funds of $50,000 were spent on this grant. The remainder was returned by the university Ecole Normale Superieure. in July 2021. The PI left the school in Aug of 2020 and the school could not support transferring his grant to John Hopkins University. No further work was performed since the last report that summarized work performed up to Sept 2020. Attached is the last report filed for this grant. The grant although aborted did result in a publication in publication in NeurIPS 2020, the top venue for publication in machine learning.

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Document Details

Document Type
Technical Report
Publication Date
Jan 13, 2022
Accession Number
AD1164130

Entities

People

  • Augustin Cosse

Organizations

  • École Normale Supérieure

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Accuracy
  • Air Force Research Laboratories
  • Applied Mathematics
  • Artificial Intelligence Software
  • Classification
  • Computational Science
  • Computer Languages
  • Computer Programming
  • Convolutional Neural Networks
  • Data Mining
  • Data Science
  • Deep Learning
  • Dimensionality Reduction
  • Frequency
  • Information Processing
  • Information Science
  • Information Systems
  • Machine Learning
  • Military Research
  • Neural Networks
  • Signal Processing
  • Supervised Machine Learning

Readers

  • Neural Network Machine Learning.
  • Small Business Innovation Research Program (SBIR) EDI Research and Innovation.
  • Technical Research and Report Writing.

Technology Areas

  • AI & ML