| 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 |
| Disentanglement via Latent Quantization | May 28, 2023 | DisentanglementInductive Bias | CodeCode Available | 1 | 5 |
| DMAP: a Distributed Morphological Attention Policy for Learning to Locomote with a Changing Body | Sep 28, 2022 | continuous-controlContinuous Control | CodeCode Available | 1 | 5 |
| Discovering Dynamic Salient Regions for Spatio-Temporal Graph Neural Networks | Sep 17, 2020 | Inductive BiasObject | CodeCode Available | 1 | 5 |
| Deep Random Features for Scalable Interpolation of Spatiotemporal Data | Dec 16, 2024 | Earth ObservationGaussian Processes | CodeCode Available | 1 | 5 |
| Approximately Equivariant Networks for Imperfectly Symmetric Dynamics | Jan 28, 2022 | Inductive Bias | CodeCode Available | 1 | 5 |
| Deep Image Prior | Nov 29, 2017 | DenoisingFeature Upsampling | CodeCode Available | 1 | 5 |
| Data-Free Knowledge Distillation for Heterogeneous Federated Learning | May 20, 2021 | Data-free Knowledge DistillationFederated Learning | CodeCode Available | 1 | 5 |
| Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains | May 13, 2024 | Inductive BiasRepresentation Learning | 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 |
| Deep Image Fingerprint: Towards Low Budget Synthetic Image Detection and Model Lineage Analysis | Mar 19, 2023 | Inductive BiasSynthetic Image Detection | 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 |
| AO2-DETR: Arbitrary-Oriented Object Detection Transformer | May 25, 2022 | DecoderInductive 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 |
| Cumulative Spatial Knowledge Distillation for Vision Transformers | Jul 17, 2023 | Inductive BiasKnowledge Distillation | CodeCode Available | 1 | 5 |
| Cross Aggregation Transformer for Image Restoration | Nov 24, 2022 | Image RestorationInductive Bias | CodeCode Available | 1 | 5 |
| Cross-Domain Few-Shot Classification via Adversarial Task Augmentation | Apr 29, 2021 | ClassificationCross-Domain Few-Shot | CodeCode Available | 1 | 5 |
| Boundary-aware Transformers for Skin Lesion Segmentation | Oct 8, 2021 | Inductive BiasLesion Segmentation | 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 |
| 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 |
| Counterexample-Guided Learning of Monotonic Neural Networks | Jun 16, 2020 | Inductive Bias | CodeCode Available | 1 | 5 |
| Composing Object Relations and Attributes for Image-Text Matching | Jun 17, 2024 | AttributeGraph Attention | CodeCode Available | 1 | 5 |
| Crystal Diffusion Variational Autoencoder for Periodic Material Generation | Oct 12, 2021 | DecoderInductive 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 |
