| Scale-Rotation-Equivariant Lie Group Convolution Neural Networks (Lie Group-CNNs) | Jun 12, 2023 | image-classificationImage Classification | —Unverified | 0 | 0 |
| Group Invariant Global Pooling | May 30, 2023 | Rotated MNIST | —Unverified | 0 | 0 |
| Deformable Classifiers | Dec 18, 2017 | ObjectObject Recognition | —Unverified | 0 | 0 |
| ICNN: INPUT-CONDITIONED FEATURE REPRESENTATION LEARNING FOR TRANSFORMATION-INVARIANT NEURAL NETWORK | Sep 25, 2019 | DecoderRepresentation Learning | —Unverified | 0 | 0 |
| Improving the Sample-Complexity of Deep Classification Networks with Invariant Integration | Feb 8, 2022 | Rotated MNIST | —Unverified | 0 | 0 |
| Invariant Integration in Deep Convolutional Feature Space | Apr 20, 2020 | Rotated MNIST | —Unverified | 0 | 0 |
| Learning Augmentation Distributions using Transformed Risk Minimization | Nov 16, 2021 | Rotated MNIST | —Unverified | 0 | 0 |
| Co-Attentive Equivariant Neural Networks: Focusing Equivariance On Transformations Co-Occurring In Data | Nov 18, 2019 | Object RecognitionRotated MNIST | —Unverified | 0 | 0 |
| Transform-Invariant Convolutional Neural Networks for Image Classification and Search | Jun 18, 2022 | Classificationimage-classification | —Unverified | 0 | 0 |
| Learning Rotation Invariant Features for Cryogenic Electron Microscopy Image Reconstruction | Jan 10, 2021 | ClusteringDecoder | —Unverified | 0 | 0 |
