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Related Questions
- Can a simpler model architecture improve generalizability compared to a more complex one?
- Does a larger model size impact the ability to generalize across domains?
- What is the optimal trade-off between model complexity and generalizability?
- How does transfer learning affect the ability to generalize to new domains with different architectures?
- Can a well-principled regularization technique counterbalance the negative effects of a complex model architecture?
- Is a sparse model architecture inherently better at generalizing across domains?
- Do shallow models with simple activations generally outperform deep complex models in terms of generalizability?
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