Research map / Probabilistic and scientific modeling / Variational and generative sampling
PixelSNAIL: An Improved Autoregressive Generative Model
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Combine causal convolutions with self-attention | PixelSNAIL · CIFAR-10 | negative log-likelihood (bits per dim): 2.90 -> 2.85 | Helped |
| Combine causal convolutions with self-attention | PixelSNAIL · ImageNet 32 × 32 | negative log-likelihood (bits per dim): 3.81 -> 3.80 | Helped |
| Combine causal convolutions with self-attention | PixelSNAIL · ImageNet 64 × 64 | negative log-likelihood (bits per dim): 3.57 -> 3.52 | Helped |
| Use self-attention alongside causal convolutions instead of causal convolutions alone | PixelSNAIL · CIFAR-10 | negative log-likelihood (bits per dim): 3.03 -> 2.85 | Helped |
Closest papers by meaning
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- Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time Series (NeurIPS 2024 · similarity 0.86)
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