CIFAR-10

Introduced by Krizhevsky et al. in Learning multiple layers of features from tiny images

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Task	Dataset Variant	Best Model
Image Classification	CIFAR-10	ViT-H/14
Image Generation	CIFAR-10	GMem
Long-tail Learning	CIFAR-10-LT (ρ=10)	GLMC+MaxNorm
Semi-Supervised Image Classification	CIFAR-10, 4000 Labels	Semi-SST
Neural Architecture Search	CIFAR-10	NAT-M4
Image Clustering	CIFAR-10	TURTLE
Anomaly Detection	One-class CIFAR-10	CLIP
Long-tail Learning	CIFAR-10-LT (ρ=100)	GLMC+MaxNorm
Semi-Supervised Image Classification	CIFAR-10, 250 Labels	Semi-SST
Conditional Image Generation	CIFAR-10	EDM-G++
Semi-Supervised Image Classification	CIFAR-10, 40 Labels	SemiOccam
Graph Classification	CIFAR10 100k	NeuralWalker
Neural Architecture Search	CIFAR-10 Image Classification	NAT-M4
Density Estimation	CIFAR-10	i-DODE
Out-of-Distribution Detection	CIFAR-10 vs CIFAR-100	DHM
Out-of-Distribution Detection	CIFAR-10	DHM
Dataset Distillation - 1IPC	CIFAR-10	PODD
Unsupervised Image Classification	CIFAR-10	TURTLE
Semi-Supervised Image Classification	CIFAR-10, 1000 Labels	MixMatch
Adversarial Defense	CIFAR-10	WRN-28-10
Personalized Federated Learning	CIFAR-10	pFedHN-PC
Active Learning	CIFAR10 (10,000)	TypiClust
Sequential Image Classification	noise padded CIFAR-10	FlexTCN-6
Small Data Image Classification	CIFAR-10, 500 Labels	ChimeraMix+AutoAugment
Unsupervised Anomaly Detection with Specified Settings -- 10% anomaly	CIFAR-10	LVAD
Unsupervised Anomaly Detection with Specified Settings -- 1% anomaly	CIFAR-10	LVAD
Unsupervised Anomaly Detection with Specified Settings -- 0.1% anomaly	CIFAR-10	LVAD
Stochastic Optimization	CIFAR-10 WRN-28-10 - 200 Epochs	Adam
Unsupervised Anomaly Detection with Specified Settings -- 30% anomaly	CIFAR-10	Shell-Renormalized
Unsupervised Anomaly Detection with Specified Settings -- 20% anomaly	cifar10	Shell-Renormalized
Anomaly Detection	Leave-One-Class-Out CIFAR-10	BCE-CLIP
Sparse Learning and binarization	CIFAR-10	SBNN-50%
Classification with Binary Weight Network	CIFAR-10	WRN-28-10
Classification with Binary Neural Network	CIFAR-10	BATS
Adversarial Attack	CIFAR-10	Xu et al.
Neural Architecture Search	NATS-Bench Size, CIFAR-10	GreenMachine-3
Small Data Image Classification	CIFAR-10, 100 Labels	ChimeraMix+AutoAugment
Adversarial Robustness	CIFAR-10	Mixed classifier
Open-World Semi-Supervised Learning	CIFAR-10	OpenLDN
Data Augmentation	CIFAR-10	Shake-Shake
Neural Network Compression	CIFAR-10	ShuffleNet – Quantised
Small Data Image Classification	CIFAR-10, 1000 Labels	ChimeraMix+AutoAugment
Stochastic Optimization	CIFAR-10 ResNet-18 - 200 Epochs	SGD - cosine LR schedule
Provable Adversarial Defense	CIFAR-10	SLL X-Large
Image Classification	CIFAR-10 (with noisy labels)	PGDF
Network Pruning	CIFAR-10	TAS-pruned ResNet-110
Semi-Supervised Image Classification	cifar10, 250 Labels	ReMixMatch
Semi-Supervised Image Classification	CIFAR-10, 2000 Labels	MixMatch
Semi-Supervised Image Classification	cifar-10, 10 Labels	BOSS
Robust classification	CIFAR-10	ResNet-110 w/ Adv. Training
Semi-Supervised Image Classification	CIFAR-10, 20 Labels	MutexMatch
Image Generation	CIFAR-10 (20% data)	DiffAugment-CR-BigGAN
Image Generation	CIFAR-10 (10% data)	DiffAugment-StyleGAN2
Image Classification with Label Noise	CIFAR-10, 20% IDN	CORES2*
Image Classification with Label Noise	CIFAR-10, 40% IDN	CORES2*
Image Classification with Label Noise	CIFAR-10, 60% IDN	CORES2*
Clean-label Backdoor Attack (0.05%)	CIFAR-10	GoogLeNet
Supervised Image Retrieval	CIFAR-10	SSB-VAE
Online Clustering	cifar10	OHC
Image Classification	CIFAR-10 Image Classification	ASF-former-S
Small Data Image Classification	cifar10, 10 labels	VAE
Self-Supervised Learning	cifar10	ResNet50
Binarization	CIFAR-10	WRN-28-10
Stochastic Optimization	CIFAR-10	Resnet18
Semi-Supervised Image Classification (Cold Start)	CIFAR-10, 100 Labels	SimCLR-kmediods-PAWS
ROLSSL-Consistent	CIFAR-10	DPLA
ROLSSL-Reversed	CIFAR-10	DPLA
ROLSSL-Uniform	CIFAR-10	DPLA
Quantization	CIFAR-10	3DCNN_VIVA_3
Zero-Shot Learning	CIFAR-10	ZLaP*
Nature-Inspired Optimization Algorithm	CIFAR-10	Position-wise optimizer
Image Classification	CIFAR-10, 60% Symmetric Noise	MentorMix
Image Classification	CIFAR-10, 40% Symmetric Noise	FaMUS
Semi-Supervised Image Classification	CIFAR-10, 80 Labels	MutexMatch
Out-of-Distribution Detection	cifar10	Wideresnet 40
Hard-label Attack	CIFAR-10	RayS
Long-tail Learning on CIFAR-10-LT (ρ=100)	CIFAR-10-LT (ρ=100)	BCL
Density Estimation	CIFAR-10 (Conditional)	MAF
Semi-Supervised Image Classification	CIFAR-10, 100 Labels	SimCLR-kmediods-PAWS
Semi-Supervised Image Classification	CIFAR-10, 30 Labels	SimCLR-kmediods-PAWS
Semi-Supervised Image Classification (Cold Start)	CIFAR-10, 30 Labels	SimCLR-kmediods-PAWS
Image Classification with Label Noise	CIFAR-10, 30% Asymmetric Noise	CORES2*
Partial Label Learning	CIFAR-10 (partial ratio 0.1)	ILL
Partial Label Learning	CIFAR-10 (partial ratio 0.3)	ILL
Partial Label Learning	CIFAR-10 (partial ratio 0.5)	ILL
Continual Learning	Split CIFAR-10 (5 tasks)	H$^{2}$
Semi-Supervised Image Classification	CIFAR-10, 500 Labels	MixMatch
Contrastive Learning	CIFAR-10	IPCL
Self-Supervised Learning	CIFAR-10	CorInfomax
Graph Classification	CIFAR-10	CKGCN
Transductive Zero-Shot Classification	CIFAR-10	ZLaP
Image Compression	CIFAR-10	Lossyless Compressor
Semi-Supervised Image Classification (Cold Start)	CIFAR-10, 40 Labels	FixMatch-USL-T
Image Classification with Label Noise	CIFAR-10, 20% Asymmetric Noise	CORES2*
Image Classification with Label Noise	CIFAR-10, 60% Symmetric Noise	CORES2*
Image Classification with Label Noise	CIFAR-10, 40% Symmetric Noise	CORES2*
Domain-IL Continual Learning	Cifar10 (5 tasks)	HVCL
Model Poisoning	CIFAR-10	ADA
Image Retrieval	CIFAR-10	Custom: 3 conv + 2 fcn
Image Classification with Label Noise	CIFAR-10	PropMix
Image Classification	cifar10	SAM
Image Classification with Human Noise	CIFAR-10, Human Noise	HOC
Novel Class Discovery	cifar10	AutoNovel
Learning with noisy labels	CIFAR-10	ILL
Image Classification	cifar-10,4000	WRN-28-2 + UDA+AutoDropout
Anomaly Detection	CIFAR-10	RCALAD
Small Data Image Classification	CIFAR-10, 250 Labels	GLICO

CIFAR-10

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