| 1 | Branching/Merging CNN + Homogeneous Vector Capsules | 99.87 | No | No Routing Needed Between Capsules | 2020-01-24 | Code |
| 2 | EnsNet (Ensemble learning in CNN augmented with fully connected subnetworks) | 99.84 | No | Ensemble learning in CNN augmented with fully co... | 2020-03-19 | Code |
| 3 | Efficient-CapsNet | 99.84 | No | Efficient-CapsNet: Capsule Network with Self-Att... | 2021-01-29 | Code |
| 4 | SOPCNN (Only a single Model) | 99.83 | No | Stochastic Optimization of Plain Convolutional N... | 2020-01-24 | Code |
| 5 | RMDL (30 RDLs) | 99.82 | No | RMDL: Random Multimodel Deep Learning for Classi... | 2018-05-03 | Code |
| 6 | R-ExplaiNet-22 (single model) | 99.8 | No | Learning local discrete features in explainable-... | 2024-10-31 | Code |
| 7 | DropConnect | 99.77 | No | - | - | Code |
| 8 | µ2Net (ViT-L/16) | 99.75 | No | An Evolutionary Approach to Dynamic Introduction... | 2022-05-25 | Code |
| 9 | VGG-5 (Spinal FC) | 99.72 | No | SpinalNet: Deep Neural Network with Gradual Input | 2020-07-07 | Code |
| 10 | TextCaps | 99.71 | No | TextCaps : Handwritten Character Recognition wit... | 2019-04-17 | Code |
| 11 | ExquisiteNetV2 | 99.71 | No | A Novel lightweight Convolutional Neural Network... | 2021-05-19 | Code |
| 12 | MobileNet_XnODR | 99.68 | No | XnODR and XnIDR: Two Accurate and Fast Fully Con... | 2021-11-21 | Code |
| 13 | ResNet-9 | 99.68 | No | CNN Filter DB: An Empirical Investigation of Tra... | 2022-03-29 | Code |
| 14 | Second Order Neural Ordinary Differential Equation | 99.63 | No | On Second Order Behaviour in Augmented Neural ODEs | 2020-06-12 | Code |
| 15 | Augmented Neural Ordinary Differential Equation | 99.63 | No | Augmented Neural ODEs | 2019-04-02 | Code |
| 16 | Neural Architecture Search (NAS)-enabled Convolutional Neural Network (CNN) | 99.5 | No | - | - | - |
| 17 | LR-Net | 99.47 | No | LR-Net: A Block-based Convolutional Neural Netwo... | 2022-07-19 | Code |
| 18 | SEER (RegNet10B) | 99.42 | No | Vision Models Are More Robust And Fair When Pret... | 2022-02-16 | Code |
| 19 | Convolutional Tsetlin Machine | 99.4 | No | The Convolutional Tsetlin Machine | 2019-05-23 | Code |
| 20 | CNN+ Wilson-Cowan model RNN | 99.31 | No | Learning in Wilson-Cowan model for metapopulation | 2024-06-24 | Code |
| 21 | FastSNN (CNN) | 99.3 | No | Robust and accelerated single-spike spiking neur... | 2022-05-30 | Code |
| 22 | IIC | 99.3 | No | Invariant Information Clustering for Unsupervise... | 2018-07-17 | Code |
| 23 | rKAN | 99.293 | No | rKAN: Rational Kolmogorov-Arnold Networks | 2024-06-20 | Code |
| 24 | CNN-5 Layer | 99.27 | No | Robust Training in High Dimensions via Block Coo... | 2021-06-16 | Code |
| 25 | fKAN | 99.228 | No | fKAN: Fractional Kolmogorov-Arnold Networks with... | 2024-06-11 | Code |
| 26 | StiDi-BP in R-CSNN | 99.2 | No | Spike time displacement based error backpropagat... | 2021-08-31 | - |
| 27 | Convolutional PMM (Parametric Matrix Model) | 98.99 | No | Parametric Matrix Models | 2024-01-22 | - |
| 28 | CNN Model by Som | 98.59 | No | Convolutional Sequence to Sequence Learning | 2017-05-08 | Code |
| 29 | Weighted Tsetlin Machine | 98.5 | No | The Weighted Tsetlin Machine: Compressed Represe... | 2019-11-28 | Code |
| 30 | ACOL + GAR + k-means | 98.32 | No | Learning Latent Representations in Neural Networ... | 2018-02-08 | - |
| 31 | Perceptron with a tensor train layer | 98.2 | No | Tensorizing Neural Networks | 2015-09-22 | Code |
| 32 | ANODE | 98.2 | No | Augmented Neural ODEs | 2019-04-02 | Code |
| 33 | Tsetlin Machine | 98.2 | No | The Tsetlin Machine - A Game Theoretic Bandit Dr... | 2018-04-04 | Code |
| 34 | Vanilla FC layer only | 98.19 | No | ProgressiveSpinalNet architecture for FC layers | 2021-03-21 | Code |
| 35 | Wilson-Cowan model RNN | 98.13 | No | Learning in Wilson-Cowan model for metapopulation | 2024-06-24 | Code |
| 36 | Hypervector Tsetlin Machine | 98.13 | No | Exploring Effects of Hyperdimensional Vectors fo... | 2024-06-04 | - |
| 37 | GECCO | 98.04 | No | A Single Graph Convolution Is All You Need: Effi... | 2024-02-01 | Code |
| 38 | ViT-Mini_D9 | 98.03 | No | - | - | - |
| 39 | FastSNN (MLP) | 97.91 | No | Robust and accelerated single-spike spiking neur... | 2022-05-30 | Code |
| 40 | TURTLE (CLIP + DINOv2) | 97.8 | No | Let Go of Your Labels with Unsupervised Transfer | 2024-06-11 | Code |
| 41 | PMM (Parametric Matrix Model) | 97.38 | No | Parametric Matrix Models | 2024-01-22 | - |
| 42 | DTI-Clustering | 97.3 | No | Deep Transformation-Invariant Clustering | 2020-06-19 | Code |
| 43 | DNN-5 (Trainable Activations) | 97.2 | No | - | - | Code |
| 44 | DNN-3 (Trainable Activations) | 97 | No | - | - | Code |
| 45 | VMM | 96.74 | No | The VampPrior Mixture Model | 2024-02-06 | Code |
| 46 | Bidirectional InfoGAN | 96.61 | No | Inferencing Based on Unsupervised Learning of Di... | 2018-03-07 | Code |
| 47 | DNN-2 (Trainable Activations) | 96.4 | No | - | - | Code |
| 48 | Binarized MLP with on-chip spiking backpropagation (on Loihi) | 96.2 | No | The Backpropagation Algorithm Implemented on Spi... | 2021-06-13 | Code |
| 49 | Adversarial AE | 95.9 | No | Adversarial Autoencoders | 2015-11-18 | Code |
| 50 | CatGAN | 95.73 | No | Unsupervised and Semi-supervised Learning with C... | 2015-11-19 | Code |
| 51 | SNNL-5 | 95.5 | No | Improving k-Means Clustering Performance with Di... | 2020-06-05 | Code |
| 52 | ProjectionNet | 95 | No | ProjectionNet: Learning Efficient On-Device Deep... | 2017-08-02 | - |
| 53 | InfoGAN | 95 | No | InfoGAN: Interpretable Representation Learning b... | 2016-06-12 | Code |
| 54 | PixelGAN Autoencoders | 94.73 | No | PixelGAN Autoencoders | 2017-06-02 | Code |
| 55 | pFedBreD_ns_mg | 92.47 | No | Personalized Federated Learning with Hidden Info... | 2022-11-19 | - |