Object Detection
@ObjectDetection
#computerVision #objectDetection #machineLearning #deepLearning http://fb.com/objectdetection
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Private training data can easily be extracted from the predictions of a trained model. Your user data (health data, private information) isn't safe by default. The good news? Adding just a little randomness can fully eliminate the memorization effect.
Turns out it's possible to recreate training data from a NN using only black box api access--no need for params. Upshot for medical researchers and vendors is that if you train on unanonymized patient records, your model is PHI. arxiv.org/abs/1802.08232
Meta-learning lets you tune hyperparameters with SGD! When @jonLorraine9 told me this, I thought it was too good to be true. The catch is you need large hypernetworks, but you can mostly avoid that by jointly training the hypernet and hyperparams: arxiv.org/abs/1802.09419
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