CIFAR-10
Emerging6papers using it
2018first seen
CIFAR-10 is a dataset containing 60,000 32x32 color images across 10 different classes, commonly used to evaluate image classification algorithms.
Papers using CIFAR-10 (6)
- Resource-Efficient Iterative LLM-Based NAS with Feedback MemoryLearning a Code: Machine Learning for Approximate Non-Linear Coded
ComputationLLMatic: Neural Architecture Search via Large Language Models and
Quality Diversity OptimizationASP: Automatic Selection of Proxy dataset for efficient AutoMLAutoML: A Survey of the State-of-the-ArtCODEBench: A Neural Architecture and Hardware Accelerator Co-Design
Framework