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Found 3 papers, 2 papers with code
On Training Sample Memorization: Lessons from Benchmarking Generative Modeling with a Large-scale Competition
Many recent developments on generative models for natural images have relied on heuristically-motivated metrics that can be easily gamed by memorizing a small sample from the true distribution or training a model directly to improve the metric.
A Large-scale Study on Training Sample Memorization in Generative Modeling
Many recent developments on generative models for natural images have relied on heuristically-motivated metrics that can be easily gamed by memorizing a small sample from the true distribution or training a model directly to improve the metric.
Benchmarking Tropical Cyclone Rapid Intensification with Satellite Images and Attention-based Deep Models
In addition, the human-driven nature of such an approach makes it difficult to reproduce and benchmark prediction models.
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