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An implementation of the BADGE batch active learning algorithm.

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Hi! Very great work and wonderfull code. Thanks man! Have you tried non cross-entropy-based loss functions? I think off loss function in unsupervised methods for anomaly detection for filtering out...

https://github.com/JordanAsh/badge/blob/b1706005795fd150743b75bf0cd206137d806bb7/run.py#L56 if 'CIFAR' in opts.data: args.lamb = 1e-2 The 'args.lamb' should be opts. lamb.