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Understanding Memory-Equivalent Capacity in Unsupervised Learning

Implementation of Understanding Memory-Equivalent Capacity in Unsupervised Learning

Getting Started

Run

  python theoretical_vs_empirical_LM_bounds_main.py

to run capacity experiments.

Results

The following results were obtained for LM and MK capacities.

alt text

Note that empirical results are affected by the low sample size for label configurations.

Authors

  • Jin Park - @jpark96

License

This project is licensed under the MIT License.

Acknowledgments