TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

SotA/Computer Vision/Image Classification/MNIST

Image Classification on MNIST

Metric: Percentage error (lower is better)

LeaderboardDataset
Loading chart...

Results

Submit a result
#Model↕Percentage error▲Extra DataPaperDate↕Code
1Branching/Merging CNN + Homogeneous Vector Capsules0.13NoNo Routing Needed Between Capsules2020-01-24Code
2EnsNet (Ensemble learning in CNN augmented with fully connected subnetworks)0.16NoEnsemble learning in CNN augmented with fully co...2020-03-19Code
3Efficient-CapsNet0.16NoEfficient-CapsNet: Capsule Network with Self-Att...2021-01-29Code
4SOPCNN (Only a single Model)0.17NoStochastic Optimization of Plain Convolutional N...2020-01-24Code
5RMDL (30 RDLs)0.18NoRMDL: Random Multimodel Deep Learning for Classi...2018-05-03Code
6R-ExplaiNet-22 (single model)0.2NoLearning local discrete features in explainable-...2024-10-31Code
7DropConnect0.21No--Code
8MCDNN0.23NoMulti-column Deep Neural Networks for Image Clas...2012-02-13Code
9APAC0.23NoAPAC: Augmented PAttern Classification with Neur...2015-05-13-
10BNM NiN0.24NoBatch-normalized Maxout Network in Network2015-11-09Code
11SimpleNetv10.25NoLets keep it simple, Using simple architectures ...2016-08-22Code
12CapsNet0.25NoDynamic Routing Between Capsules2017-10-26Code
13VGG8B + LocalLearning + CO0.26NoTraining Neural Networks with Local Error Signals2019-01-20Code
14VGG-5 (Spinal FC)0.28NoSpinalNet: Deep Neural Network with Gradual Input2020-07-07Code
15TextCaps0.29NoTextCaps : Handwritten Character Recognition wit...2019-04-17Code
16ExquisiteNetV20.29NoA Novel lightweight Convolutional Neural Network...2021-05-19Code
17WaveMix-128/70.29NoWaveMix: Resource-efficient Token Mixing for Ima...2022-03-07Code
18Fractional MP0.3NoFractional Max-Pooling2014-12-18Code
19Tree+Max-Avg pooling0.3NoGeneralizing Pooling Functions in Convolutional ...2015-09-30Code
20CMsC0.3NoCompetitive Multi-scale Convolution2015-11-18-
21EXACT (M3-CNN)0.33NoEXACT: How to Train Your Accuracy2022-05-19Code
22Second Order Neural Ordinary Differential Equation0.37NoOn Second Order Behaviour in Augmented Neural ODEs2020-06-12Code
23Augmented Neural Ordinary Differential Equation0.37NoAugmented Neural ODEs2019-04-02Code
24DSN0.4NoDeeply-Supervised Nets2014-09-18Code
25CKN0.4NoConvolutional Kernel Networks2014-06-12-
26C-SVDDNet0.4NoUnsupervised Feature Learning with C-SVDDNet2014-12-23-
27HOPE0.4NoHybrid Orthogonal Projection and Estimation (HOP...2015-02-03-
28FLSCNN0.4NoEnhanced Image Classification With a Fast-Learni...2015-03-16-
29MIM0.4NoOn the Importance of Normalisation Layers in Dee...2015-08-03-
30Fitnet-LSUV-SVM0.4NoAll you need is a good init2015-11-19Code
31Neural Architecture Search (NAS)-enabled Convolutional Neural Network (CNN)0.5No---
32Maxout Networks0.5NoMaxout Networks2013-02-18Code
33NiN0.5NoNetwork In Network2013-12-16Code
34ReNet0.5NoReNet: A Recurrent Neural Network Based Alternat...2015-05-03Code
35DCNN+GFE0.5NoDeep Convolutional Neural Networks as Generic Fe...2017-10-06-
36VDN0.5NoTraining Very Deep Networks2015-07-22Code
37NeuPDE0.51NoNeuPDE: Neural Network Based Ordinary and Partia...2019-08-08-
38Simple CNN with BaikalCMA loss0.53NoImproved Training Speed, Accuracy, and Data Util...2019-05-27Code
39SEER (RegNet10B)0.58NoVision Models Are More Robust And Fair When Pret...2022-02-16Code
40Convolutional Tsetlin Machine0.6NoThe Convolutional Tsetlin Machine2019-05-23Code
41PCANet0.6NoPCANet: A Simple Deep Learning Baseline for Imag...2014-04-14Code
42DiffPrune (LeNet5)0.6NoDiffPrune: Neural Network Pruning with Determini...2020-12-07Code
43Deep Fried Convnets0.7NoDeep Fried Convnets2014-12-22Code
44Sparse Activity and Sparse Connectivity in Supervised Learning0.8NoSparse Activity and Sparse Connectivity in Super...2016-03-28-
45Explaining and Harnessing Adversarial Examples0.8NoExplaining and Harnessing Adversarial Examples2014-12-20Code
46BinaryConnect1NoBinaryConnect: Training Deep Neural Networks wit...2015-11-02Code
47Convolutional PMM (Parametric Matrix Model)1.01NoParametric Matrix Models2024-01-22-
48LeNet 300-100 (Sparse Momentum)1.26NoSparse Networks from Scratch: Faster Training wi...2019-07-10Code
49Convolutional Clustering1.4NoConvolutional Clustering for Unsupervised Learning2015-11-19-
50CNN Model by Som1.41NoConvolutional Sequence to Sequence Learning2017-05-08Code
51Weighted Tsetlin Machine1.5NoThe Weighted Tsetlin Machine: Compressed Represe...2019-11-28Code
52MLP (ideal number of groups)1.67NoOn the Ideal Number of Groups for Isometric Grad...2023-02-07-
53Perceptron with a tensor train layer1.8NoTensorizing Neural Networks2015-09-22Code
54ANODE1.8NoAugmented Neural ODEs2019-04-02Code
55Tsetlin Machine1.8NoThe Tsetlin Machine - A Game Theoretic Bandit Dr...2018-04-04Code
56GECCO1.96NoA Single Graph Convolution Is All You Need: Effi...2024-02-01Code
57PMM (Parametric Matrix Model)2.62NoParametric Matrix Models2024-01-22-
58DNN-5 (Trainable Activations)2.8No--Code
59DNN-3 (Trainable Activations)3No--Code
60DNN-2 (Trainable Activations)3.6No--Code
61Zhao et al. (2015) (auto-encoder)4.76NoStacked What-Where Auto-encoders2015-06-08Code
62ProjectionNet5NoProjectionNet: Learning Efficient On-Device Deep...2017-08-02-