mlsanityData to 14 Oct 2026

CINIC-10 is not ImageNet or CIFAR-10

arXiv 1810.03505 ↗First posted 2 Oct 2018cs.CV cs.LG stat.MLcited by 7

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Abstract (arXiv)

In this brief technical report we introduce the CINIC-10 dataset as a plug-in extended alternative for CIFAR-10. It was compiled by combining CIFAR-10 with images selected and downsampled from the ImageNet database. We present the approach to compiling the dataset, illustrate the example images for different classes, give pixel distributions for each part of the repository, and give some standard benchmarks for well known models. Details for download, usage, and compilation can be found in the associated github repository.

Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). First posted on arXiv 2 Oct 2018.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 4; 2025: 0; 2026: 3.

7 papers.

  1. 2024Energy-based Automated Model Evaluationcited by 17
  2. 2024Advancing Deep Active Learning & Data Subset Selection: Unifying Principles with Information-Theory Intuitionscited by 7
  3. 2024A New Federated Learning Framework Against Gradient Inversion Attackscited by 6
  4. 2024fluke: Federated Learning Utility frameworK for Experimentation and researchcited by 0
  5. 2026Lightweight Adaptive ReduNet via Hyperspherical Manifold Learningcited by 0
  6. 2026Resilience Beyond Stationary Client Unavailability: Unlocking Efficient and Unbiased Federated Learningcited by 0
  7. 2026Power Side-Channel Membership Inference Attack on Embedded Machine Learningcited by 0