The CIFAR-10 dataset (Canadian Institute For Advanced Research) is a collection of images that are commonly used to train machine learning and computer...

frequently cited by other researchers. He is also the main author of the CIFAR-10 and CIFAR-100 datasets. Gershgorn, Dave (18 June 2018). "The inside story of...

strategy. Barret Zoph and Quoc Viet Le applied NAS with RL targeting the CIFAR-10 dataset and achieved a network architecture that rivals the best manually-designed...

the original labels were not reliable. The CIFAR-10 set has 6000 examples of each of 10 classes and the CIFAR-100 set has 600 examples of each of 100 non-overlapping...

only one convolutional layer, has achieved a similar success rate on the CIFAR-10 dataset. Increasing the number of filters for the LeNet architecture results...

403–418. CiteSeerX 10.1.1.11.226. doi:10.1109/3477.846230. ISSN 1083-4419. PMID 18252373. "Convolutional Deep Belief Networks on CIFAR-10" (PDF). Archived...

an edge in some challenges due to its highly specialized TPU chips, the CIFAR-10 challenge was won by the fast.ai students, programming the fastest and...

Times. Archived from the original on 16 June 2021. "Convolutional Nets and CIFAR-10: An Interview with Yann LeCun". No Free Hunch. 22 December 2014. LeCun...

"CINIC-10 dataset". Luke N. Darlow, Elliot J. Crowley, Antreas Antoniou, Amos J. Storkey (2018) CINIC-10 is not ImageNet or CIFAR-10. 2018-10-09. Retrieved...

of experts or other hierarchical techniques. On image datasets such as CIFAR-10 and ImageNet 32x32, an EBM model generated high-quality images relatively...