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Contrastive predictive coding for Anomaly Detection in Multi-variate Time Series Data
Next, the latent representations for the succeeding instants obtained through non-linear transformations of these context vectors, are contrasted with the latent representations of the encoder for the multi-variables such that the density for the positive pair is maximized.
Continual Learning with Delayed Feedback
This work proposes a model-agnostic continual learning framework which can be used with neural networks as well as decision trees to incorporate continual learning.
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