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Datasets › CIFAR-10

CIFAR-10

Introduced in Learning multiple layers of features from tiny imagesarchive row vandalised: introduced date withheld archive 2025-07-28

Description withheld: archive row vandalised before snapshot (contact-centre spam replaced the description). The introduced date on the same row is withheld with it; the rest of the row is shown as archived, and the paper named above is the archive's field on that same edited row.

BenchmarksPapers JSON

Benchmarks archive 2025-07-28

All 91 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Image Classification CIFAR-10 ViT-H/14 Percentage correct 99.5 An Image is Worth 16x16 Words: Transformers for Image... huggingface/transformers +157 265 Compare
Image Generation CIFAR-10 GMem FID 1.22 Generative Modeling with Explicit Memory lins-lab/gmem 78 Compare
Long-tail Learning CIFAR-10-LT (ρ=10) GLMC+MaxNorm (ResNet-34, channel x4) Error Rate 5 Global and Local Mixture Consistency Cumulative Learning... ynu-yangpeng/GLMC +1 50 Compare
Semi-Supervised Image Classification CIFAR-10, 4000 Labels Semi-SST (ViT-Small) Percentage error 1.41±0.10 SST: Self-training with Self-adaptive Thresholding for... — 49 Compare
Neural Architecture Search CIFAR-10 NAT-M4 Top-1 Error Rate 1.6% Neural Architecture Transfer human-analysis/neural-architecture-transfer +1 41 Compare
Image Clustering CIFAR-10 TURTLE (CLIP + DINOv2) Accuracy 0.995 Let Go of Your Labels with Unsupervised Transfer mlbio-epfl/turtle 40 Compare
Anomaly Detection One-class CIFAR-10 CLIP (OE) AUROC 99.6 Exposing Outlier Exposure: What Can Be Learned From Few,... liznerski/eoe 36 Compare
Long-tail Learning CIFAR-10-LT (ρ=100) GLMC+MaxNorm (ResNet-34, channel x4) Error Rate 10.42 Global and Local Mixture Consistency Cumulative Learning... ynu-yangpeng/GLMC +1 28 Compare
Semi-Supervised Image Classification CIFAR-10, 250 Labels Semi-SST (ViT-Small) Percentage error 2.42±0.13 SST: Self-training with Self-adaptive Thresholding for... — 27 Compare
Conditional Image Generation CIFAR-10 EDM-G++ (conditional) FID 1.64 Refining Generative Process with Discriminator Guidance... alsdudrla10/DG +1 25 Compare
Semi-Supervised Image Classification CIFAR-10, 40 Labels SemiOccam Percentage error 3.51 ViTSGMM: A Robust Semi-Supervised Image Recognition... Shu1L0n9/SemiOccam 21 Compare
Graph Classification CIFAR10 100k NeuralWalker Accuracy (%) 80.027 ± 0.185 Learning Long Range Dependencies on Graphs via Random Walks borgwardtlab/neuralwalker 20 Compare
Neural Architecture Search CIFAR-10 Image Classification NAT-M4 Percentage error 1.6 Neural Architecture Transfer human-analysis/neural-architecture-transfer +1 19 Compare
Density Estimation CIFAR-10 i-DODE NLL (bits/dim) 2.42 Improved Techniques for Maximum Likelihood Estimation... thu-ml/i-dode 15 Compare
Out-of-Distribution Detection CIFAR-10 vs CIFAR-100 DHM AUROC 100 Deep Hybrid Models for Out-of-Distribution Detection — 14 Compare
Out-of-Distribution Detection CIFAR-10 DHM AUROC 100 Deep Hybrid Models for Out-of-Distribution Detection — 10 Compare
Semi-Supervised Image Classification CIFAR-10, 1000 Labels MixMatch Accuracy 92.25 MixMatch: A Holistic Approach to Semi-Supervised Learning google-research/mixmatch +29 9 Compare
Unsupervised Image Classification CIFAR-10 TURTLE (CLIP + DINOv2) Accuracy 99.5 Let Go of Your Labels with Unsupervised Transfer mlbio-epfl/turtle 9 Compare
Adversarial Defense CIFAR-10 WRN-28-10 Accuracy 90.03 Language Guided Adversarial Purification Visual-Conception-Group/LGAP 8 Compare
Active Learning CIFAR10 (10,000) TypiClust Accuracy 93.2 Active Learning on a Budget: Opposite Strategies Suit... avihu111/typiclust 7 Compare
Personalized Federated Learning CIFAR-10 pFedHN-PC ACC@1-10Clients 92.47 Personalized Federated Learning using Hypernetworks KarhouTam/FL-bench +1 7 Compare
Sequential Image Classification noise padded CIFAR-10 FlexTCN-6 % Test Accuracy 69.87% FlexConv: Continuous Kernel Convolutions with... rjbruin/flexconv 7 Compare
Adversarial Attack CIFAR-10 Xu et al. Attack: PGD20 78.680 An Orthogonal Classifier for Improving the Adversarial... MTandHJ/roboc 6 Compare
Anomaly Detection Leave-One-Class-Out CIFAR-10 BCE-CLIP AUROC 98.4 Exposing Outlier Exposure: What Can Be Learned From Few,... liznerski/eoe 6 Compare
Small Data Image Classification CIFAR-10, 500 Labels ChimeraMix+AutoAugment Accuracy (%) 70.09 ChimeraMix: Image Classification on Small Datasets via... creinders/chimeramix 6 Compare
Stochastic Optimization CIFAR-10 WRN-28-10 - 200 Epochs Adam (eps-adjusted) Accuracy 96.36 Domain-independent Dominance of Adaptive Methods lolemacs/avagrad 6 Compare
Unsupervised Anomaly Detection with Specified Settings -- 1% anomaly CIFAR-10 LVAD AUC-ROC 0.940 Locally varying distance transform for unsupervised... wen-yan-lin/LVAD-Locally-Varying-Anomaly-Detection 6 Compare
Unsupervised Anomaly Detection with Specified Settings -- 10% anomaly CIFAR-10 LVAD AUC-ROC 0.903 Locally varying distance transform for unsupervised... wen-yan-lin/LVAD-Locally-Varying-Anomaly-Detection 6 Compare
Unsupervised Anomaly Detection with Specified Settings -- 20% anomaly cifar10 Shell-Renormalized AUC-ROC 0.896 Shell Theory: A Statistical Model of Reality wen-yan-lin/shell-theory 6 Compare
Unsupervised Anomaly Detection with Specified Settings -- 30% anomaly CIFAR-10 Shell-Renormalized AUC-ROC 0.894 Shell Theory: A Statistical Model of Reality wen-yan-lin/shell-theory 6 Compare
Unsupervised Anomaly Detection with Specified Settings -- 0.1% anomaly CIFAR-10 LVAD AUC-ROC 0.930 Locally varying distance transform for unsupervised... wen-yan-lin/LVAD-Locally-Varying-Anomaly-Detection 6 Compare
Adversarial Robustness CIFAR-10 Mixed classifier Accuracy 95.23 Improving the Accuracy-Robustness Trade-Off of... codelion/adaptive-classifier +1 5 Compare
Data Augmentation CIFAR-10 Shake-Shake (26 2×96d) (Faster AA) Percentage error 2 Faster AutoAugment: Learning Augmentation Strategies... moskomule/dda 5 Compare
Neural Architecture Search NATS-Bench Size, CIFAR-10 GreenMachine-3 Kendall's Tau 0.888 GreenMachine: Automatic Design of Zero-Cost Proxies for... RodriguesGabriel/greenmachine 5 Compare
Neural Network Compression CIFAR-10 ShuffleNet – Quantised Size (MB) 1.9 Quantisation and Pruning for Neural Network Compression... kpaupamah/compression-and-regularisation 5 Compare
Open-World Semi-Supervised Learning CIFAR-10 OpenLDN (ResNet-18) All accuracy (10% Labeled) 92.8 OpenLDN: Learning to Discover Novel Classes for... nayeemrizve/openldn 5 Compare
Small Data Image Classification CIFAR-10, 100 Labels ChimeraMix+AutoAugment Accuracy (%) 49.75 ChimeraMix: Image Classification on Small Datasets via... creinders/chimeramix 5 Compare
Small Data Image Classification CIFAR-10, 1000 Labels ChimeraMix+AutoAugment Accuracy (%) 76.76 ChimeraMix: Image Classification on Small Datasets via... creinders/chimeramix 5 Compare
Image Classification CIFAR-10 (with noisy labels) SSR Accuracy (under 20% Sym. label noise) 96.74% SSR: An Efficient and Robust Framework for Learning with... MrChenFeng/SSR_BMVC2022 4 Compare
Network Pruning CIFAR-10 TAS-pruned ResNet-110 Accuracy 94.33 Network Pruning via Transformable Architecture Search D-X-Y/GDAS +3 4 Compare
Provable Adversarial Defense CIFAR-10 SLL X-Large Accuracy 70.3 A Unified Algebraic Perspective on Lipschitz Neural Networks araujoalexandre/lipschitz-sll-networks 4 Compare
Semi-Supervised Image Classification cifar10, 250 Labels ReMixMatch Percentage correct 93.73 ReMixMatch: Semi-Supervised Learning with Distribution... google-research/mixmatch +2 4 Compare
Semi-Supervised Image Classification CIFAR-10, 2000 Labels MixMatch Accuracy 92.97 MixMatch: A Holistic Approach to Semi-Supervised Learning google-research/mixmatch +29 4 Compare
Stochastic Optimization CIFAR-10 ResNet-18 - 200 Epochs SGD - cosine LR schedule Accuracy 95.55 Benchopt: Reproducible, efficient and collaborative... deepmind/optax +2 4 Compare
Data Free Quantization CIFAR10 ResNet-20 CIFAR-10 CIFAR-10 W4A4 Top-1 Accuracy 91.26 Qimera: Data-free Quantization with Synthetic Boundary... iamkanghyunchoi/qimera +1 3 Compare
Image Generation CIFAR-10 (10% data) DiffAugment-StyleGAN2 FID 14.5 Differentiable Augmentation for Data-Efficient GAN Training POSTECH-CVLab/PyTorch-StudioGAN +12 3 Compare
Image Generation CIFAR-10 (20% data) DiffAugment-StyleGAN2 FID 12.15 Differentiable Augmentation for Data-Efficient GAN Training POSTECH-CVLab/PyTorch-StudioGAN +12 3 Compare
Online Clustering cifar10 OHC online NMI 10.5 Hard Regularization to Prevent Deep Online Clustering... lou1sm/online_hard_clustering 3 Compare
Semi-Supervised Image Classification CIFAR-10, 20 Labels MutexMatch (k=0.6C) Percentage error 7.77 MutexMatch: Semi-Supervised Learning with Mutex-Based... NJUyued/MutexMatch4SSL 3 Compare
Semi-Supervised Image Classification cifar-10, 10 Labels BOSS Accuracy (Test) 95.1 Building One-Shot Semi-supervised (BOSS) Learning up to... lnsmith54/BOSS 3 Compare
Supervised Image Retrieval CIFAR-10 SSB-VAE Precision@100 0.910 Self-Supervised Bernoulli Autoencoders for... amacaluso/SSB-VAE 3 Compare
Image Classification CIFAR-10, 40% Symmetric Noise FaMUS Percentage correct 95.37 Faster Meta Update Strategy for Noise-Robust Deep Learning youjiangxu/FaMUS 2 Compare
Image Classification CIFAR-10, 60% Symmetric Noise MentorMix Percentage correct 91.3 Faster Meta Update Strategy for Noise-Robust Deep Learning youjiangxu/FaMUS 2 Compare
Image Classification CIFAR-10 Image Classification ASF-former-S Params 19.3M Adaptive Split-Fusion Transformer szx503045266/asf-former 2 Compare
Nature-Inspired Optimization Algorithm CIFAR-10 Position-wise optimizer training time (s) 23 Position-wise optimizer: A nature-inspired optimization algorithm — 2 Compare
Quantization CIFAR-10 3DCNN_VIVA_3 MAP 160327.04 Compressing 3DCNNs Based on Tensor Train Decomposition — 2 Compare
Self-Supervised Learning cifar10 ResNet50 average top-1 classification accuracy 93.89 Guarding Barlow Twins Against Overfitting with Mixed Samples wgcban/mix-bt 2 Compare
Semi-Supervised Image Classification (Cold Start) CIFAR-10, 100 Labels SimCLR-kmediods-PAWS Percentage error 6.1 Cold PAWS: Unsupervised class discovery and addressing... emannix/cold-paws-simclr-and-paws-semi-supervised-learning +1 2 Compare
Semi-Supervised Image Classification CIFAR-10, 80 Labels MutexMatch (k=0.6C) Percentage error 5 MutexMatch: Semi-Supervised Learning with Mutex-Based... NJUyued/MutexMatch4SSL 2 Compare
Small Data Image Classification cifar10, 10 labels VAE % Test Accuracy 45.96% Performance Analysis of Semi-supervised Learning in the... varunmannam/Papers_with_Code 2 Compare
Stochastic Optimization CIFAR-10 Resnet18 Accuracy (max) 86.85 Mixing ADAM and SGD: a Combined Optimization Method gitlab.com/nicolalandro/multi_optimizer 2 Compare
Zero-Shot Learning CIFAR-10 ZLaP* Accuracy 93.6 Label Propagation for Zero-shot Classification with... vladan-stojnic/zlap 2 Compare
Anomaly Detection CIFAR-10 RCALAD Mean AUC 65.7 Spot The Odd One Out: Regularized Complete Cycle... zahradehghanian97/rcalad 1 Compare
Continual Learning Split CIFAR-10 (5 tasks) H² Top 1 Accuracy % 97.3 Helpful or Harmful: Inter-Task Association in Continual Learning Jin0316/Helpful-or-Harmful-Inter-Task-Association 1 Compare
Contrastive Learning CIFAR-10 IPCL (ResNet18) Accuracy (Top-1) 84.77 IPCL: Iterative Pseudo-Supervised Contrastive Learning... SonalKumar95/IPCL 1 Compare
Density Estimation CIFAR-10 (Conditional) MAF Log-likelihood 5872 Masked Autoregressive Flow for Density Estimation tensorflow/probability +20 1 Compare
Graph Classification CIFAR-10 CKGCN Accuracy 72.785 CKGConv: General Graph Convolution with Continuous Kernels networkslab/ckgconv 1 Compare
Image Classification cifar-10,4000 WRN-28-2 + UDA+AutoDropout Percentage error 4.2 AutoDropout: Learning Dropout Patterns to Regularize... google-research/google-research 1 Compare
Image Classification cifar10 SAM Accuracy 0.9672 — — 1 Compare
Image Compression CIFAR-10 Lossyless Compressor Bit rate 1410 Lossy Compression for Lossless Prediction YannDubs/lossyless 1 Compare
Image Retrieval CIFAR-10 Custom: 3 conv + 2 fcn Average-mAP 0.6755 Deep Supervised Hashing for Fast Image Retrieval bgswaroop/deep-hashing 1 Compare
Learning with noisy labels CIFAR-10 InstanceGM Test Accuracy 95.9 Instance-Dependent Noisy Label Learning via Graphical Modelling arpit2412/InstanceGM 1 Compare
Novel Class Discovery cifar10 AutoNovel Clustering Accuracy 0.924 AutoNovel: Automatically Discovering and Learning Novel... k-han/AutoNovel 1 Compare
Out-of-Distribution Detection CIFAR10 Wide ResNet 40x2 AUROC 99.3 RODD: A Self-Supervised Approach for Robust... UmarKhalidcs/RODD 1 Compare
Out-of-Distribution Detection cifar10 Wideresnet 40 AUROC 99.3 RODD: A Self-Supervised Approach for Robust... UmarKhalidcs/RODD 1 Compare
Out of Distribution (OOD) Detection CIFAR-10 ZClassifier AUCROC 0.9994 ZClassifier: Temperature Tuning and Manifold... ShimSoonYong/ZClassifier 1 Compare
Parameter Prediction CIFAR10 GHN-2 Classification Accuracy (BN-free) 36.8 Parameter Prediction for Unseen Deep Architectures facebookresearch/ppuda 1 Compare
Partial Label Learning CIFAR-10 (partial ratio 0.1) ILL Accuracy 96.37 Imprecise Label Learning: A Unified Framework for... hhhhhhao/general-framework-weak-supervision 1 Compare
Partial Label Learning CIFAR-10 (partial ratio 0.3) ILL Accuracy 96.26 Imprecise Label Learning: A Unified Framework for... hhhhhhao/general-framework-weak-supervision 1 Compare
Partial Label Learning CIFAR-10 (partial ratio 0.5) ILL Accuracy 95.91 Imprecise Label Learning: A Unified Framework for... hhhhhhao/general-framework-weak-supervision 1 Compare
Representation Learning CIFAR10 Resnet 18 Accuracy (%) 97.05 AlignMixup: Improving Representations By Interpolating... Westlake-AI/openmixup +1 1 Compare
Self-Supervised Learning CIFAR-10 CorInfomax (ResNet18) Top-1 Accuracy 93.18 Self-Supervised Learning with an Information... serdarozsoy/corinfomax-ssl 1 Compare
Semi-Supervised Image Classification (Cold Start) CIFAR-10, 30 Labels SimCLR-kmediods-PAWS Percentage error 6.4 Cold PAWS: Unsupervised class discovery and addressing... emannix/cold-paws-simclr-and-paws-semi-supervised-learning +1 1 Compare
Semi-Supervised Image Classification (Cold Start) CIFAR-10, 40 Labels FixMatch-USL-T Percentage error 6.5 Unsupervised Selective Labeling for More Effective... TonyLianLong/UnsupervisedSelectiveLabeling 1 Compare
Semi-Supervised Image Classification CIFAR-10, 500 Labels MixMatch Accuracy 91.35 MixMatch: A Holistic Approach to Semi-Supervised Learning google-research/mixmatch +29 1 Compare
Semi-Supervised Image Classification CIFAR-10, 100 Labels SimCLR-kmediods-PAWS Percentage error 6.1 Cold PAWS: Unsupervised class discovery and addressing... emannix/cold-paws-simclr-and-paws-semi-supervised-learning +1 1 Compare
Semi-Supervised Image Classification CIFAR-10, 30 Labels SimCLR-kmediods-PAWS Percentage error 6.4 Cold PAWS: Unsupervised class discovery and addressing... emannix/cold-paws-simclr-and-paws-semi-supervised-learning +1 1 Compare
Small Data Image Classification CIFAR-10, 250 Labels GLICO Top-1 accuracy % 43 Generative Latent Implicit Conditional Optimization when... IdanAzuri/glico-learning-small-sample 1 Compare
Transductive Zero-Shot Classification CIFAR-10 ZLaP Accuracy 93.6 Label Propagation for Zero-shot Classification with... vladan-stojnic/zlap 1 Compare
Classification cifar10 no rows — — 0 Compare
Semi-Supervised Image Classification CIFAR-10, 40 Labels no rows — — 0 Compare

Papers archive 2025-07-28

30 shown of 597 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 16,145. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
ZClassifier: Temperature Tuning and Manifold Approximation via KL Divergence on Logit Space 1 1 14 Jul 2025 not harvested
ViTSGMM: A Robust Semi-Supervised Image Recognition Network Using Sparse Labels 1 2 4 Jun 2025 not harvested
SST: Self-training with Self-adaptive Thresholding for Semi-supervised Learning 0 6 31 May 2025 not harvested
Uni-Instruct: One-step Diffusion Model through Unified Diffusion Divergence Instruction 0 1 27 May 2025 not harvested
Beyond Masked and Unmasked: Discrete Diffusion Models via Partial Masking 0 2 24 May 2025 not harvested
Forward-only Diffusion Probabilistic Models 1 1 22 May 2025 not harvested
Exploring a Principled Framework for Deep Subspace Clustering 1 1 21 Mar 2025 ran 4 of 4 samples (0 unverified; 4 pointer-only for licence)
Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator 1 1 3 Mar 2025 not harvested
Diff-SySC: An Approach Using Diffusion Models for Semi-Supervised Image Classification 0 2 25 Feb 2025 not harvested
Unlocking the Potential of Classic GNNs for Graph-level Tasks: Simple Architectures Meet Excellence 1 1 13 Feb 2025 ran 4 of 12 samples (8 unverified)
Evaluating the Performance of TAAF for image classification models 1 1 13 Feb 2025 not harvested
Generative Modeling with Bayesian Sample Inference 1 1 11 Feb 2025 not harvested
Learning Hyperparameters via a Data-Emphasized Variational Objective 1 1 3 Feb 2025 not harvested
Deep Clustering via Probabilistic Ratio-Cut Optimization 1 1 1 Feb 2025 not harvested
Block Flow: Learning Straight Flow on Data Blocks 1 1 20 Jan 2025 not harvested
The GAN is dead; long live the GAN! A Modern GAN Baseline 1 1 9 Jan 2025 ran 9 of 11 samples (2 unverified; 11 pointer-only for licence)
Posterior Mean Matching: Generative Modeling through Online Bayesian Inference 0 1 17 Dec 2024 not harvested
Generative Modeling with Explicit Memory 1 1 11 Dec 2024 ran 8 of 15 samples (7 unverified; 15 pointer-only for licence)
Hierarchical VAE with a Diffusion-based VampPrior 1 1 2 Dec 2024 ran 1 of 2 samples (1 unverified; 2 pointer-only for licence)
On the Performance Analysis of Momentum Method: A Frequency Domain Perspective 1 1 29 Nov 2024 ran 1 of 2 samples (1 unverified)
ANDHRA Bandersnatch: Training Neural Networks to Predict Parallel Realities 1 5 28 Nov 2024 not harvested
GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS 1 3 22 Nov 2024 not harvested
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers 1 1 14 Nov 2024 not harvested
Attention Masks Help Adversarial Attacks to Bypass Safety Detectors 1 1 7 Nov 2024 not harvested
Breaking the Reclustering Barrier in Centroid-based Deep Clustering 1 3 4 Nov 2024 ran 0 of 5 samples (5 unverified)
Learning local discrete features in explainable-by-design convolutional neural networks 1 1 31 Oct 2024 not harvested
Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One Step 2 1 19 Oct 2024 ran 2 of 3 samples (1 unverified; 1 pointer-only for licence)
Truncated Consistency Models 0 1 18 Oct 2024 not harvested
Performance of Gaussian Mixture Model Classifiers on Embedded Feature Spaces 1 1 17 Oct 2024 not harvested
Improving Image Clustering with Artifacts Attenuation via Inference-Time Attention Engineering 0 1 7 Oct 2024 not harvested

The full list of 597 is in the JSON twin.

Dataset loaders archive 2025-07-28

huggingface.co/datasets/uoft-cs/cifar10huggingface/datasetstfpytorchjax
huggingface.co/datasets/cifar10huggingface/datasetstfpytorchjax
huggingface.co/datasets/tomas-gajarsky/cifar10-lthuggingface/datasetstfpytorchjax
huggingface.co/datasets/renumics/cifar10-outlierhuggingface/datasetstfpytorchjax
huggingface.co/datasets/renumics/cifar10-enrichedhuggingface/datasetstfpytorchjax
huggingface.co/datasets/aarontung/testhuggingface/datasetstfpytorchjax
huggingface.co/datasets/mstz/cifar10ODhuggingface/datasetstfpytorchjax
huggingface.co/datasets/wltjr1007/cifar10_cliphuggingface/datasetstfpytorchjax
pytorch.org/vision/stable/generated/torchvision.datasets.CIFAR10.htmlpytorch/visionpytorch
docs.voxel51.com/user_guide/dataset_zoo/datasets.html#cifar-10voxel51/fiftyonetfpytorch
docs.activeloop.ai/datasets/cifar-10-datasetactiveloopai/Hubtfpytorch
www.tensorflow.org/datasets/catalog/cifar10tensorflow/datasetstfjax
open-mmlab/mmclassificationopen-mmlab/mmclassificationpytorch
gitlab.com/afagarap/pt-datasetspytorch

14 loaders as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

Image ClassificationClassificationImage GenerationZero-Shot LearningAnomaly DetectionImage RetrievalGraph ClassificationSemi-Supervised Image ClassificationContinual LearningImage ClusteringOut-of-Distribution DetectionNeural Architecture SearchLong-tail LearningTransductive Zero-Shot ClassificationLearning with noisy labelsBinarizationImage Classification with Label NoiseConditional Image GenerationObject RecognitionDensity EstimationStochastic OptimizationAdversarial DefenseQuantizationSmall Data Image ClassificationImage CompressionPartial Label LearningSelf-Supervised LearningSemi-Supervised Image Classification (Cold Start)Unsupervised Image ClassificationPersonalized Federated LearningAdversarial RobustnessNetwork PruningUnsupervised Anomaly Detection with Specified Settings -- 30% anomalyUnsupervised Anomaly Detection with Specified Settings -- 20% anomalyUnsupervised Anomaly Detection with Specified Settings -- 1% anomalyUnsupervised Anomaly Detection with Specified Settings -- 0.1% anomalyUnsupervised Anomaly Detection with Specified Settings -- 10% anomalyData AugmentationContrastive LearningDomain-IL Continual LearningOut of Distribution (OOD) DetectionDataset Distillation - 1IPCAdversarial AttackSequential Image ClassificationActive LearningClassification with Binary Weight NetworkClassification with Binary Neural NetworkModel PoisoningSparse Learning and binarizationNovel Class DiscoveryOpen-World Semi-Supervised LearningHard-label AttackProvable Adversarial DefenseRobust classificationClean-label Backdoor Attack (0.05%)Nature-Inspired Optimization AlgorithmNeural Network CompressionOnline ClusteringImage Classification with Human NoiseLong-tail Learning on CIFAR-10-LT (ρ=100)Supervised Image RetrievalROLSSL-ConsistentROLSSL-ReversedROLSSL-Uniform

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Images

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • CIFAR-10 (20% subset)
  • Superpixel CIFAR10
  • Split CIFAR-10 (5 tasks)
  • split-cifar10
  • NATS-Bench Size, CIFAR-10
  • Leave-One-Class-Out CIFAR-10
  • cifar10_quality_drift
  • CIFAR-10 (partial ratio 0.5)
  • CIFAR-10 (partial ratio 0.3)
  • CIFAR-10 (partial ratio 0.1)
  • CIFAR-10, Human Noise
  • CIFAR-10, 60% Symmetric Noise
  • CIFAR-10, 60% IDN
  • Cifar10 (5 tasks)
  • CIFAR-10, 40% Symmetric Noise
  • CIFAR-10,40 Labels
  • CIFAR-10, 40% IDN
  • CIFAR-10, 4000 Labeled Samples
  • CIFAR-10, 30 Labels
  • CIFAR-10, 30% Asymmetric Noise
  • CIFAR-10, 20% IDN
  • CIFAR-10 (20% data)
  • CIFAR-10, 20% Asymmetric Noise
  • CIFAR-10, 2000 Labeled Samples
  • cifar-10, 10 Labels
  • CIFAR-10 (10% data)
  • CIFAR-10, 100 Labels
  • CIFAR10 (10,000)
  • cifar10
  • CIFAR10_CATS
  • CIFAR-10 (with noisy labels)
  • noise padded CIFAR-10
  • cifar10, 10 labels
  • cifar-10,4000
  • CIFAR10 100k
  • CIFAR-10 model detecting CIFAR-10
  • CIFAR-10 image generation
  • CIFAR-10 WRN-28-10 - 200 Epochs
  • CIFAR-10-LT (ρ=100)
  • CIFAR-10-LT (ρ=10)
  • CIFAR-10, 80 Labels
  • CIFAR-10, 500 Labels
  • CIFAR-10, 20 Labels
  • CIFAR-10 vs CIFAR-100
  • CIFAR-10 ResNet-18 - 200 Epochs
  • CIFAR-10 (Conditional)
  • cifar10, 250 Labels
  • One-class CIFAR-10
  • CIFAR-10, 4000 Labels
  • CIFAR-10, 40 Labels
  • CIFAR-10, 250 Labels
  • CIFAR-10, 2000 Labels
  • CIFAR-10, 1000 Labels
  • CIFAR-10 Image Classification
  • CIFAR-10

55 variant names, as the archive lists them.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections