| Deep Random Features for Scalable Interpolation of Spatiotemporal Data | Dec 16, 2024 | Earth ObservationGaussian Processes | CodeCode Available | 1 | 5 |
| Deep Image Prior | Nov 29, 2017 | DenoisingFeature Upsampling | CodeCode Available | 1 | 5 |
| Deep Implicit Optimization enables Robust Learnable Features for Deformable Image Registration | Jun 11, 2024 | Image RegistrationInductive Bias | CodeCode Available | 1 | 5 |
| Boosting Image Quality Assessment through Efficient Transformer Adaptation with Local Feature Enhancement | Jan 1, 2024 | Image Quality AssessmentInductive Bias | CodeCode Available | 1 | 5 |
| DeiT-LT Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets | Apr 3, 2024 | Image ClassificationInductive Bias | CodeCode Available | 1 | 5 |
| Container: Context Aggregation Networks | Dec 1, 2021 | Inductive BiasInstance Segmentation | CodeCode Available | 1 | 5 |
| Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning | Feb 12, 2023 | Gaussian ProcessesGraph Neural Network | CodeCode Available | 1 | 5 |
| Approximately Equivariant Networks for Imperfectly Symmetric Dynamics | Jan 28, 2022 | Inductive Bias | CodeCode Available | 1 | 5 |
| Boundary-aware Transformers for Skin Lesion Segmentation | Oct 8, 2021 | Inductive BiasLesion Segmentation | CodeCode Available | 1 | 5 |
| Exploring Diffusion Time-steps for Unsupervised Representation Learning | Jan 21, 2024 | Attributecounterfactual | CodeCode Available | 1 | 5 |
| Fast Interpretable Greedy-Tree Sums | Jan 28, 2022 | Additive modelsDecision Making | CodeCode Available | 1 | 5 |
| Few-shot Learner Parameterization by Diffusion Time-steps | Mar 5, 2024 | Few-Shot LearningInductive Bias | CodeCode Available | 1 | 5 |
| FViT: A Focal Vision Transformer with Gabor Filter | Feb 17, 2024 | Computational EfficiencyInductive Bias | CodeCode Available | 1 | 5 |
| Bridging the Gap Between Vision Transformers and Convolutional Neural Networks on Small Datasets | Oct 12, 2022 | Inductive Bias | CodeCode Available | 1 | 5 |
| Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces | Nov 1, 2021 | Bayesian OptimizationDrug Design | CodeCode Available | 1 | 5 |
| AMR Parsing with Action-Pointer Transformer | Apr 29, 2021 | Abstract Meaning RepresentationAMR Parsing | CodeCode Available | 1 | 5 |
| Explain and Predict, and then Predict Again | Jan 11, 2021 | Explanation GenerationFact Verification | CodeCode Available | 1 | 5 |
| Examining the Inductive Bias of Neural Language Models with Artificial Languages | Jun 2, 2021 | Inductive Bias | CodeCode Available | 1 | 5 |
| A Random CNN Sees Objects: One Inductive Bias of CNN and Its Applications | Jun 17, 2021 | Inductive BiasObject | CodeCode Available | 1 | 5 |
| Architectural Backdoors in Neural Networks | Jun 15, 2022 | Inductive Bias | CodeCode Available | 1 | 5 |
| 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 | 5 |
| Human Trajectory Prediction via Neural Social Physics | Jul 21, 2022 | Deep LearningInductive Bias | CodeCode Available | 1 | 5 |
| Disentanglement via Latent Quantization | May 28, 2023 | DisentanglementInductive Bias | CodeCode Available | 1 | 5 |
| Amortized Inference for Causal Structure Learning | May 25, 2022 | Causal DiscoveryInductive Bias | CodeCode Available | 1 | 5 |
| ExpBERT: Representation Engineering with Natural Language Explanations | May 5, 2020 | Inductive BiasRelation Extraction | CodeCode Available | 1 | 5 |
