Research map / Architectures and efficiency / Pruning and efficient tuning
On the Existence of Universal Lottery Tickets
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Prune the proposed polynomial architecture from a randomly initialized mother network | Polynomial universal ticket · Polynomial function family | maximum approximation error: 0.001 | Helped |
| Increase the mother-network width from [1, 250, 21, 250, 1] to [1, 250, 250, 250, 1] (ablation) | Fourier universal ticket · Fourier basis, sin(2πx) on [0,1] | fraction of parameters remaining: 0.038 -> 0.0035 | Helped |
| Use edge-popup pruning on the polynomial architecture | Polynomial architecture · MNIST | accuracy: 92.4 ± 0.5 | Helped |
| Use edge-popup pruning on the Fourier architecture | Fourier architecture · MNIST | accuracy: 97.9 ± 0.1 | Helped |
Closest papers by meaning
- Convolutional and Residual Networks Provably Contain Lottery Tickets (ICML 2022 · similarity 0.94)
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- Polynomially Over-Parameterized Convolutional Neural Networks Contain Structured Strong Winning Lottery Tickets (NeurIPS 2023 · similarity 0.92)
- On the Sparsity of the Strong Lottery Ticket Hypothesis (NeurIPS 2024 · similarity 0.90)
- Weisfeiler and Leman Go Gambling: Why Expressive Lottery Tickets Win (ICML 2025 · similarity 0.89)
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