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Learning From Brains How to Regularize Machines


Nov 14 2019 Miles Brundage

"Learning From [Mouse] Brains How to Regularize Machines," Li et al.: Wild stuff - they showed images to mice, recorded the mice's neural activity, made a model of that, then penalized not-mouse-brain-y representations when training new classifiers.
3 replies, 228 likes

Nov 20 2019 Andreas Tolias Lab

Neuroscience has inspired #DeepLearning, but lacks methods to directly translate neural data into better #AI algorithms. Lead by Zhe Li in our @NeurIPSConf paper we used neural data to engineer more robust AI algorithms with better generalization
2 replies, 94 likes

Nov 24 2019 Shahab Bakhtiari

So, if we regularize an ANN to have similar representations as those of mouse visual cortex, the ANN becomes more robust to adversarial attacks. Here is the most interesting part of the paper for me:
0 replies, 22 likes

Nov 14 2019 arxiv

Learning From Brains How to Regularize Machines.
0 replies, 13 likes

Nov 17 2019 Daisuke Okanohara

Scan neural responses of actual mouses against several images and compute the similarity matrix among images, then use this matrix to regularize NN representation to improve NN's robustness against input noises. Inductive bias from actual brains.
0 replies, 12 likes

Jan 20 2020 ALife Papers

Learning From Brains How to Regularize Machines "We then used the neural representation similarity to regularize CNNs trained on image classification by penalizing intermediate representations that deviated from neural ones"
0 replies, 11 likes

Dec 12 2019 Andreas Tolias Lab

We aim to create AI algorithms that are robust and generalize better using neuroscience data. Learn about our work presented #NeurIPS today (10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #65) and Send your CV to
0 replies, 8 likes

Nov 21 2019 TĂĽbingenNeuroCampus

Cool new paper with contributions from @bethgelab @sinzlab @wielandbr "Learning From #Brains How to Regularize Machines"
0 replies, 6 likes

Nov 14 2019 Carlos E. Perez 🧢

Well this is certainly wild and a sign of things to come. @Miles_Brundage Research showing using of brain imaging as a regularization parameter for convolutional networks! .
1 replies, 5 likes

Nov 15 2019 Erik Jonker

Some very small but interesting beginnings with regard to improving machine learning with data from natural brains
0 replies, 1 likes

Nov 14 2019 Peng Liu

Great work. How about an inverse way? Let’s see “Learning From Machine How to Optimize [Biological] Brains” #AI #DeepLearning #MachineLearning #brain
0 replies, 1 likes