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| Building powerful and equivariant graph neural networks with structural message-passing | Jun 26, 2020 | Graph RegressionInductive Bias | CodeCode Available | 1 |
| CANINE: Pre-training an Efficient Tokenization-Free Encoder for Language Representation | Mar 11, 2021 | Inductive Bias | CodeCode Available | 1 |
| A Random CNN Sees Objects: One Inductive Bias of CNN and Its Applications | Jun 17, 2021 | Inductive BiasObject | CodeCode Available | 1 |
| Architectural Backdoors in Neural Networks | Jun 15, 2022 | Inductive Bias | CodeCode Available | 1 |
| Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from the Decision Boundary Perspective | Mar 15, 2022 | Inductive Bias | CodeCode Available | 1 |
| SimMLP: Training MLPs on Graphs without Supervision | Feb 14, 2024 | Fraud DetectionGraph Classification | CodeCode Available | 1 |
| Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning | Feb 12, 2023 | Gaussian ProcessesGraph Neural Network | CodeCode Available | 1 |
| Deep Random Features for Scalable Interpolation of Spatiotemporal Data | Dec 16, 2024 | Earth ObservationGaussian Processes | CodeCode Available | 1 |
| Deep Image Fingerprint: Towards Low Budget Synthetic Image Detection and Model Lineage Analysis | Mar 19, 2023 | Inductive BiasSynthetic Image Detection | CodeCode Available | 1 |
