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| Diversity Boosted Learning for Domain Generalization with Large Number of Domains | Jul 28, 2022 | DiversityDomain Generalization | —Unverified | 0 |
| Generalizing to Unseen Domains with Wasserstein Distributional Robustness under Limited Source Knowledge | Jul 11, 2022 | Domain GeneralizationRotated MNIST | —Unverified | 0 |
| Transform-Invariant Convolutional Neural Networks for Image Classification and Search | Jun 18, 2022 | Classificationimage-classification | —Unverified | 0 |
| Improving the Sample-Complexity of Deep Classification Networks with Invariant Integration | Feb 8, 2022 | Rotated MNIST | —Unverified | 0 |
| Learning Augmentation Distributions using Transformed Risk Minimization | Nov 16, 2021 | Rotated MNIST | —Unverified | 0 |
| Exploiting Redundancy: Separable Group Convolutional Networks on Lie Groups | Oct 25, 2021 | Computational EfficiencyRotated MNIST | CodeCode Available | 1 |
| Learning Partial Equivariances from Data | Oct 19, 2021 | Image ClassificationRotated MNIST | CodeCode Available | 1 |
| Equivariance-bridged SO(2)-Invariant Representation Learning using Graph Convolutional Network | Jun 18, 2021 | Data Augmentationimage-classification | CodeCode Available | 1 |
| Learning Rotation Invariant Features for Cryogenic Electron Microscopy Image Reconstruction | Jan 10, 2021 | ClusteringDecoder | —Unverified | 0 |
