| Convolutional Initialization for Data-Efficient Vision Transformers | Jan 23, 2024 | Inductive Bias | CodeCode Available | 1 | 5 |
| Exploiting Inductive Bias in Transformer for Point Cloud Classification and Segmentation | Apr 27, 2023 | 3D Object Classification3D Part Segmentation | CodeCode Available | 1 | 5 |
| A Light Recipe to Train Robust Vision Transformers | Sep 15, 2022 | Adversarial RobustnessData Augmentation | CodeCode Available | 1 | 5 |
| Correlation Loss: Enforcing Correlation between Classification and Localization | Jan 3, 2023 | ClassificationInductive Bias | CodeCode Available | 1 | 5 |
| CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation | Mar 4, 2021 | Image SegmentationInductive Bias | CodeCode Available | 1 | 5 |
| Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation | Jul 22, 2022 | DecoderFew-Shot Semantic Segmentation | CodeCode Available | 1 | 5 |
| Extending Lagrangian and Hamiltonian Neural Networks with Differentiable Contact Models | Feb 12, 2021 | Contact mechanicsFriction | CodeCode Available | 1 | 5 |
| An Investigation of Why Overparameterization Exacerbates Spurious Correlations | May 9, 2020 | Inductive Bias | CodeCode Available | 1 | 5 |
| Building powerful and equivariant graph neural networks with structural message-passing | Jun 26, 2020 | Graph RegressionInductive Bias | CodeCode Available | 1 | 5 |
| CMUNeXt: An Efficient Medical Image Segmentation Network based on Large Kernel and Skip Fusion | Aug 2, 2023 | Image SegmentationInductive Bias | CodeCode Available | 1 | 5 |
