Neural Network Extrapolation
Joan discusses the challenges of neural networks extrapolating beyond training data, highlighting the importance of understanding distribution shifts and architectural biases in achieving robust generalization. The conversation delves into the complexities of formalizing extrapolation and the ongoing efforts to define conditions for successful extrapolation in machine learning.In this clip
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