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[TWIM Notes] Sep 8 2020
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Joined: 30 Jun 20
This Week in MLC@Home
Notes for Sep 8 2020
A weekly summary of news and notes for MLC@Home
A little late after the long weekend in the US, and in general, a lot of work behind the scenes. It was a relatively quiet week in the forums.
The biggest news is that there's been a hitch with Dataset 3 WUs, in that we're having trouble generating data that the networks can learn. As a refresher, Datasets 1 and 2 are what are being computed now and are nearing completion. Dataset 3 is supposed to train similar RNN networks, but go "wide" instead of "deep" (100 different training sets, only 100-ish examples of each vs. 5 training sets and 10000 of each). As such instead of mimic-ing the 5 simple machines Datasets 1 and 2 are computing, we would instead use 100 randomly generated deterministic finite automata, and train networks to mimic the behavior of these automata. Surprisingly, we're having trouble learning these automata using the networks we have, which we suspect is a bug in our data generation code we're still tracking down and taking us a lot longer than planned.
Because of this, we're pushing up work on Dataset 4. Dataset 4 will be the first to train Convolutional networks (CNNs) on variants of MNIST, specifically those used by the TrojAI project and the "BadNets" paper. The hope is that with enough examples of each network, we can show the same weight-space separation we're able to show with Dataset 1 and 2 on simple RNNs is *also* present on CNN networks, showing greater application of weight space analysis for identifying training data. An updated client for Dataset 4 support is already underway, and should take too long. Hopefully this week, but given the unforeseen issues with Dataset 3, we're hesitant to state a deadline.
Meanwhile, work on debugging Dataset 3 continues. As does paper writing for a conference deadline at the end of the month.
SingleDirectMachine 10002/10004 EightBitMachine 9962/10006 SingleInvertMachine 10001/10003 SimpleXORMachine 10000/10002 ParityMachine 537/10005 ParityModified 90/10005 EightBitModified 3729/10006 SimpleXORModified 10005/10005 SingleDirectModified 10004/10004 SingleInvertModified 10002/10002
Last week's TWIM Notes: Aug 31 2020
Thanks again to all our volunteers!
-- The MLC@Home Admins
Joined: 9 Jul 20
Thanks for the update! I am stoked to dive directly into the new datasets which I find frame a much more compelling research question :)
Hopefully we have some creative people amongst this project's community that can help with drafting badges ...
Good luck on the paper and debugging.
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A project of the Cognition, Robotics, and Learning (CORAL) Lab at the University of Maryland, Baltimore County (UMBC)