| Learning Augmentation Distributions using Transformed Risk Minimization | Nov 16, 2021 | Rotated MNIST | —Unverified | 0 |
| Learning Rotation Invariant Features for Cryogenic Electron Microscopy Image Reconstruction | Jan 10, 2021 | ClusteringDecoder | —Unverified | 0 |
| Learning Steerable Filters for Rotation Equivariant CNNs | Nov 20, 2017 | Breast Tumour ClassificationColorectal Gland Segmentation: | —Unverified | 0 |
| Local Group Invariant Representations via Orbit Embeddings | Dec 6, 2016 | Rotated MNIST | —Unverified | 0 |
| Progressive Conservative Adaptation for Evolving Target Domains | Feb 7, 2024 | Domain AdaptationMeta-Learning | —Unverified | 0 |
| Scale-Rotation-Equivariant Lie Group Convolution Neural Networks (Lie Group-CNNs) | Jun 12, 2023 | image-classificationImage Classification | —Unverified | 0 |
| Transform-Invariant Convolutional Neural Networks for Image Classification and Search | Jun 18, 2022 | Classificationimage-classification | —Unverified | 0 |
| Unsupervised discovery of the shared and private geometry in multi-view data | Aug 22, 2024 | HippocampusRotated MNIST | —Unverified | 0 |
| Generalizing to Unseen Domains with Wasserstein Distributional Robustness under Limited Source Knowledge | Jul 11, 2022 | Domain GeneralizationRotated MNIST | —Unverified | 0 |
| Group Invariant Global Pooling | May 30, 2023 | Rotated MNIST | —Unverified | 0 |
