| How Interpretable and Trustworthy are GAMs? | Jun 11, 2020 | Additive modelsInductive Bias | CodeCode Available | 1 | 5 |
| HSViT: Horizontally Scalable Vision Transformer | Apr 8, 2024 | Inductive Bias | CodeCode Available | 1 | 5 |
| Revealing the Dark Secrets of Masked Image Modeling | May 26, 2022 | Depth EstimationDiversity | CodeCode Available | 1 | 5 |
| How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers | Jun 18, 2021 | Data Augmentationimage-classification | CodeCode Available | 1 | 5 |
| Cross Aggregation Transformer for Image Restoration | Nov 24, 2022 | Image RestorationInductive Bias | CodeCode Available | 1 | 5 |
| Amortized Inference for Causal Structure Learning | May 25, 2022 | Causal DiscoveryInductive Bias | CodeCode Available | 1 | 5 |
| Language Embedded 3D Gaussians for Open-Vocabulary Scene Understanding | Nov 30, 2023 | GPUInductive Bias | CodeCode Available | 1 | 5 |
| K-Space Transformer for Undersampled MRI Reconstruction | Jun 14, 2022 | DecoderInductive Bias | CodeCode Available | 1 | 5 |
| Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering | Jul 1, 2020 | Inductive BiasQuestion Answering | CodeCode Available | 1 | 5 |
| Directed Acyclic Graph Neural Networks | Jan 20, 2021 | Graph Neural NetworkGraph Property Prediction | CodeCode Available | 1 | 5 |
| Correlation Loss: Enforcing Correlation between Classification and Localization | Jan 3, 2023 | ClassificationInductive Bias | CodeCode Available | 1 | 5 |
| 2-D SSM: A General Spatial Layer for Visual Transformers | Jun 11, 2023 | Inductive BiasPosition | CodeCode Available | 1 | 5 |
| Latent Traversals in Generative Models as Potential Flows | Apr 25, 2023 | DisentanglementInductive Bias | CodeCode Available | 1 | 5 |
| Learning the geometry of wave-based imaging | Jun 10, 2020 | Inductive BiasPosition | CodeCode Available | 1 | 5 |
| Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small Datasets | Jul 28, 2024 | image-classificationImage Classification | CodeCode Available | 1 | 5 |
| Introspective Distillation for Robust Question Answering | Nov 1, 2021 | counterfactualInductive Bias | CodeCode Available | 1 | 5 |
| A microstructure estimation Transformer inspired by sparse representation for diffusion MRI | May 13, 2022 | Diffusion MRIInductive Bias | CodeCode Available | 1 | 5 |
| Convolutional Initialization for Data-Efficient Vision Transformers | Jan 23, 2024 | Inductive Bias | CodeCode Available | 1 | 5 |
| Inductive Relation Prediction by Subgraph Reasoning | Nov 16, 2019 | Graph EmbeddingGraph Neural Network | CodeCode Available | 1 | 5 |
| Instance Segmentation for Autonomous Log Grasping in Forestry Operations | Mar 3, 2022 | Inductive BiasInstance Segmentation | CodeCode Available | 1 | 5 |
| Convolutional Bypasses Are Better Vision Transformer Adapters | Jul 14, 2022 | Few-Shot LearningInductive 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 |
| Cost Aggregation Is All You Need for Few-Shot Segmentation | Dec 22, 2021 | AllDecoder | 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 |
| Discovering and Explaining the Representation Bottleneck of Graph Neural Networks from Multi-order Interactions | May 15, 2022 | graph constructionGraph Learning | CodeCode Available | 1 | 5 |
| Distribution inference risks: Identifying and mitigating sources of leakage | Sep 18, 2022 | Inductive 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 |
| Counterexample-Guided Learning of Monotonic Neural Networks | Jun 16, 2020 | Inductive Bias | CodeCode Available | 1 | 5 |
| Dependency Transformer Grammars: Integrating Dependency Structures into Transformer Language Models | Jul 24, 2024 | ARCInductive Bias | CodeCode Available | 1 | 5 |
| Interpretable statistical representations of neural population dynamics and geometry | Apr 6, 2023 | BenchmarkingDecision Making | CodeCode Available | 1 | 5 |
| Disentanglement via Latent Quantization | May 28, 2023 | DisentanglementInductive Bias | CodeCode Available | 1 | 5 |
| Distinguish Confusion in Legal Judgment Prediction via Revised Relation Knowledge | Aug 18, 2024 | ArticlesInductive Bias | CodeCode Available | 1 | 5 |
| Crystal Diffusion Variational Autoencoder for Periodic Material Generation | Oct 12, 2021 | DecoderInductive Bias | CodeCode Available | 1 | 5 |
| CSformer: Bridging Convolution and Transformer for Compressive Sensing | Dec 31, 2021 | Compressive SensingInductive Bias | CodeCode Available | 1 | 5 |
| Cumulative Spatial Knowledge Distillation for Vision Transformers | Jul 17, 2023 | Inductive BiasKnowledge Distillation | CodeCode Available | 1 | 5 |
| Learning Hierarchical Structures with Differentiable Nondeterministic Stacks | Sep 5, 2021 | Inductive BiasLanguage Modeling | CodeCode Available | 1 | 5 |
| ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior | Nov 27, 2021 | DenoisingImage Denoising | 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 |
| Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning | Jan 3, 2022 | 3D geometry3D Point Cloud Classification | CodeCode Available | 1 | 5 |
| Improving GAN Equilibrium by Raising Spatial Awareness | Dec 1, 2021 | AttributeInductive Bias | CodeCode Available | 1 | 5 |
| Backdoor Attacks on Self-Supervised Learning | May 21, 2021 | Backdoor AttackInductive Bias | CodeCode Available | 1 | 5 |
| Dual Progressive Transformations for Weakly Supervised Semantic Segmentation | Sep 30, 2022 | Inductive BiasObject | CodeCode Available | 1 | 5 |
| LPFormer: An Adaptive Graph Transformer for Link Prediction | Oct 17, 2023 | Inductive BiasLink Prediction | CodeCode Available | 1 | 5 |
| Data-Free Knowledge Distillation for Heterogeneous Federated Learning | May 20, 2021 | Data-free Knowledge DistillationFederated Learning | CodeCode Available | 1 | 5 |
| A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities | May 30, 2019 | DiversityInductive Bias | CodeCode Available | 1 | 5 |
| Discovering Dynamic Salient Regions for Spatio-Temporal Graph Neural Networks | Sep 17, 2020 | Inductive BiasObject | CodeCode Available | 1 | 5 |
| Dynamic Graph Learning-Neural Network for Multivariate Time Series Modeling | Dec 6, 2021 | Graph LearningInductive 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 |
| Deep Image Prior | Nov 29, 2017 | DenoisingFeature Upsampling | CodeCode Available | 1 | 5 |
| Deep Random Features for Scalable Interpolation of Spatiotemporal Data | Dec 16, 2024 | Earth ObservationGaussian Processes | CodeCode Available | 1 | 5 |
