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MLC@Home: Machine Learning Comprehension @ Home

MLC@Home is a distributed computing project dedicated to understanding and interpreting complex machine learning models, with an emphasis on neural networks. It uses the BOINC distributed computing platform.

Opening the Black Box
https://xkcd.com/1838/
XKCD #1838

Neural Networks have fuelled a machine learning revolution over the past decade that has led to machines accomplishing amazingly complex tasks. However, these models are largly black boxes: we know they work, but they are so complex (up to hundreds of millions of parameters!) that we struggle to understand the limits of such systems. Yet understanding networks becomes extremely important as networks are deployed in safety critical fields, like medicine and autonomous vehicles. Models must be vetted for robustness against adversarial examples, biases need to be identified and compensated for, and boundaries for what the network will produce need to be identified.

What MLC@Home Does

MLC@Home provides an open, collaborative platform for researchers studying machine learning comprehension. It allows us to train thousands of networks in parallel, with tightly controlled inputs, hyperparameters, and network structures. We use this to gain insights into these complex models.

MLC@Home's initial project, the Machine Learning Dataset Generator (MLDS), will generate a large dataset of simple networks trained with both clean and adversarial data. To our knowledge, this is the first dataset of its kind. MLC@Home also welcomes project proposals from other researchers aligned with this research area. MLC@Home requests that all data generated by our supported projects be made available to the public, and that, where possible, any papers and analysis be made public as well.

How You Can Help

We ask for volunteers to donate some of their background computing time to help us continue our research. We use the same time-tested BOINC distributed computing infrastructure as SETI@home and Rosetta@home. Follow these steps to join:

  • Install BOINC [ download ]
  • Open BOINC Manager
  • Click "Tools"->"Add Project"
  • Select "MLC@Home" from the menu
  • Follow the prompts to create an account

You're done! BOINC takes over from there, running in the background doing science when your computer is idle. You can follow your progress on this project by choosing "BOINC Project Page" from the menu at the top of this page.

MLDS Live Status
Dataset 1: 43168/50000
Name1005001000500010000
SingleDirectMachine 100 500 1000 5000 10000
EightBitMachine 100 500 1000 5000 10000
SingleInvertMachine 100 500 1000 5000 10000
SimpleXORMachine 100 500 1000 5000 10000
ParityMachine 100 500 1000 3164 3164
Dataset 2: 42073/50000
Name1005001000500010000
ParityModified 100 500 1000 1838 1838
EightBitModified 100 500 1000 5000 10000
SimpleXORModified 100 500 1000 5000 10000
SingleDirectModified 100 500 1000 5000 10000
SingleInvertModified 100 500 1000 5000 10000
Dataset 3
Overall Completed: : 818376/1002613
Milestone 1 (100x100) : COMPLETE (10000/10000)
Milestone 2 (1000x100) : COMPLETE (100000/100000)
Milestone 3 (10000x100) :
8591869586777473846178657605669886877178
6384774883188674636775768393859482438469
8537866186748675842259178571813085138650
8664833983388556854572618556763286588500
8522868882528282857985668101860471786439
8488865277108099859485028615789286798650
8663866969617061861785668590840685988694
8219860586398608677686918620866486248654
8622869258918679776283338692694486646531
8662867481928128862679058646861680827523
0% < 25% 25% - 75% >75% 100%
Last update: 2021-05-06 18:02:27.170095