[D] papers that only evaluate on cifar10

Hi everyone!

While reviewing for NeurIPS 2024, one of the things I keep noticing is that a lot of papers only evaluate on datasets of very small size, like Cifar-10. his feels weird to me: I consider Cifar10 to be a toy-dataset and testbed for my methods, not something I'd use to show that my method actually works/is relevant in practice. So my first intuition is always "this approach probably does not scale to larger datasets". I mean, ImageNet is …

cifar-10 dataset datasets machinelearning neurips papers show small something