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AUTOKD: Automatic Knowledge Distillation Into A Student Architecture Family
State-of-the-art results in deep learning have been improving steadily, in good part due to the use of larger models.
Current State and Future Directions for Learning in Biological Recurrent Neural Networks: A Perspective Piece
We provide a brief review of the common assumptions about biological learning with findings from experimental neuroscience and contrast them with the efficiency of gradient-based learning in recurrent neural networks.
Don't be picky, all students in the right family can learn from good teachers
State-of-the-art results in deep learning have been improving steadily, in good part due to the use of larger models.
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