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Introduction: Recent Trends in Learning From Data
Learned data structures
Deep Randomized Neural Networks
Tensor Decompositions and Practical Applications
Deep learning for graphs
Limitations of Shallow Networks
Fairness in Machine Learning
Online Continual Learning on Sequences.

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