| Leap: Inductive Link Prediction via Learnable TopologyAugmentation | Mar 5, 2025 | Graph Neural NetworkInductive Bias | CodeCode Available | 0 | 5 |
| General-Purpose In-Context Learning by Meta-Learning Transformers | Dec 8, 2022 | In-Context LearningInductive Bias | CodeCode Available | 0 | 5 |
| Generalizing Supervised Deep Learning MRI Reconstruction to Multiple and Unseen Contrasts using Meta-Learning Hypernetworks | Jul 13, 2023 | Image ReconstructionInductive Bias | CodeCode Available | 0 | 5 |
| A Metalearned Neural Circuit for Nonparametric Bayesian Inference | Nov 24, 2023 | Bayesian InferenceInductive Bias | CodeCode Available | 0 | 5 |
| Bivariate Beta-LSTM | May 25, 2019 | Caption GenerationDensity Estimation | CodeCode Available | 0 | 5 |
| Learning Continuous Rotation Canonicalization with Radial Beam Sampling | Jun 21, 2022 | Inductive Bias | CodeCode Available | 0 | 5 |
| Generalization through variance: how noise shapes inductive biases in diffusion models | Apr 16, 2025 | DenoisingInductive Bias | CodeCode Available | 0 | 5 |
| ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases | Mar 19, 2021 | image-classificationImage Classification | CodeCode Available | 0 | 5 |
| Disentanglement with Factor Quantized Variational Autoencoders | Sep 23, 2024 | DisentanglementInductive Bias | CodeCode Available | 0 | 5 |
| Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems | May 11, 2019 | Feature EngineeringGraph Neural Network | CodeCode Available | 0 | 5 |
