| Fast Interpretable Greedy-Tree Sums | Jan 28, 2022 | Additive modelsDecision Making | CodeCode Available | 1 |
| Feature Programming for Multivariate Time Series Prediction | Jun 9, 2023 | Automated Feature EngineeringFeature Engineering | CodeCode Available | 1 |
| Few-shot Learner Parameterization by Diffusion Time-steps | Mar 5, 2024 | Few-Shot LearningInductive Bias | CodeCode Available | 1 |
| Boosting Image Quality Assessment through Efficient Transformer Adaptation with Local Feature Enhancement | Jan 1, 2024 | Image Quality AssessmentInductive Bias | CodeCode Available | 1 |
| Fine-grained style control in Transformer-based Text-to-speech Synthesis | Oct 12, 2021 | Inductive BiasSpeech Synthesis | CodeCode Available | 1 |
| Distinguish Confusion in Legal Judgment Prediction via Revised Relation Knowledge | Aug 18, 2024 | ArticlesInductive Bias | CodeCode Available | 1 |
| Forecasting with Hyper-Trees | May 13, 2024 | Inductive BiasTime Series | CodeCode Available | 1 |
| End-to-End Referring Video Object Segmentation with Multimodal Transformers | Nov 29, 2021 | Inductive BiasInstance Segmentation | CodeCode Available | 1 |
| Boundary-aware Transformers for Skin Lesion Segmentation | Oct 8, 2021 | Inductive BiasLesion Segmentation | CodeCode Available | 1 |
| Fuzzy Graph Neural Network for Few-Shot Learning | Jul 19, 2020 | Few-Shot LearningGraph Neural Network | CodeCode Available | 1 |
| Deep Implicit Optimization enables Robust Learnable Features for Deformable Image Registration | Jun 11, 2024 | Image RegistrationInductive Bias | CodeCode Available | 1 |
| Generalization and Robustness Implications in Object-Centric Learning | Jul 1, 2021 | Inductive BiasObject | CodeCode Available | 1 |
| Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data | Feb 25, 2020 | Inductive BiasTranslation | CodeCode Available | 1 |
| Bridging the Gap Between Vision Transformers and Convolutional Neural Networks on Small Datasets | Oct 12, 2022 | Inductive Bias | CodeCode Available | 1 |
| Generative Adversarial Symmetry Discovery | Feb 1, 2023 | Inductive BiasTrajectory Prediction | CodeCode Available | 1 |
| AMR Parsing with Action-Pointer Transformer | Apr 29, 2021 | Abstract Meaning RepresentationAMR Parsing | CodeCode Available | 1 |
| 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 |
