| ICNN: INPUT-CONDITIONED FEATURE REPRESENTATION LEARNING FOR TRANSFORMATION-INVARIANT NEURAL NETWORK | Sep 25, 2019 | DecoderRepresentation Learning | —Unverified | 0 |
| Deep Rotation Equivariant Network | May 24, 2017 | Rotated MNIST | CodeCode Available | 0 |
| Learning Invariant Representations for Equivariant Neural Networks Using Orthogonal Moments | Sep 22, 2022 | Rotated MNISTTranslation | CodeCode Available | 0 |
| Group Equivariant Convolutional Networks | Feb 24, 2016 | Breast Tumour ClassificationColorectal Gland Segmentation: | CodeCode Available | 0 |
| Polar Transformer Networks | Sep 6, 2017 | Rotated MNISTTranslation | CodeCode Available | 0 |
| ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-Variable Context Encoding | Jun 2, 2024 | Anomaly DetectionDensity Estimation | CodeCode Available | 0 |
| VideoOneNet: Bidirectional Convolutional Recurrent OneNet with Trainable Data Steps for Video Processing | Jan 1, 2020 | ColorizationCompressive Sensing | CodeCode Available | 0 |
| Learning unfolded networks with a cyclic group structure | Nov 16, 2022 | Data AugmentationRotated MNIST | CodeCode Available | 0 |
| On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory | Dec 16, 2024 | Rotated MNIST | CodeCode Available | 0 |
| Artificial Neuronal Ensembles with Learned Context Dependent Gating | Jan 17, 2023 | Continual LearningPermuted-MNIST | CodeCode Available | 0 |
