| Contrastive Syn-to-Real Generalization | Apr 6, 2021 | DiversityDomain Generalization | CodeCode Available | 1 | 5 |
| Container: Context Aggregation Networks | Dec 1, 2021 | Inductive BiasInstance Segmentation | CodeCode Available | 1 | 5 |
| Contrastive Prototypical Network with Wasserstein Confidence Penalty | Oct 21, 2022 | Contrastive LearningFew-Shot Learning | CodeCode Available | 1 | 5 |
| FIGARO: Generating Symbolic Music with Fine-Grained Artistic Control | Jan 26, 2022 | Inductive BiasMusic Generation | CodeCode Available | 1 | 5 |
| GREED: A Neural Framework for Learning Graph Distance Functions | Dec 24, 2021 | CPUGPU | CodeCode Available | 1 | 5 |
| Fine-grained Temporal Contrastive Learning for Weakly-supervised Temporal Action Localization | Mar 31, 2022 | Action LocalizationClassification | CodeCode Available | 1 | 5 |
| Fast Interpretable Greedy-Tree Sums | Jan 28, 2022 | Additive modelsDecision Making | CodeCode Available | 1 | 5 |
| Forecasting with Hyper-Trees | May 13, 2024 | Inductive BiasTime Series | CodeCode Available | 1 | 5 |
| Feature Programming for Multivariate Time Series Prediction | Jun 9, 2023 | Automated Feature EngineeringFeature Engineering | CodeCode Available | 1 | 5 |
| LPFormer: An Adaptive Graph Transformer for Link Prediction | Oct 17, 2023 | Inductive BiasLink Prediction | CodeCode Available | 1 | 5 |
| An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality | Feb 14, 2020 | Inductive BiasMetric Learning | CodeCode Available | 1 | 5 |
| DiMSUM: Diffusion Mamba -- A Scalable and Unified Spatial-Frequency Method for Image Generation | Nov 6, 2024 | Image GenerationInductive Bias | CodeCode Available | 1 | 5 |
| ADeLA: Automatic Dense Labeling with Attention for Viewpoint Adaptation in Semantic Segmentation | Jul 29, 2021 | Domain AdaptationHallucination | CodeCode Available | 1 | 5 |
| Backdoor Attacks on Self-Supervised Learning | May 21, 2021 | Backdoor AttackInductive Bias | 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 |
| Correlation Loss: Enforcing Correlation between Classification and Localization | Jan 3, 2023 | ClassificationInductive Bias | CodeCode Available | 1 | 5 |
| An Investigation of Why Overparameterization Exacerbates Spurious Correlations | May 9, 2020 | Inductive Bias | CodeCode Available | 1 | 5 |
| Exploring Diffusion Time-steps for Unsupervised Representation Learning | Jan 21, 2024 | Attributecounterfactual | CodeCode Available | 1 | 5 |
| Extending Lagrangian and Hamiltonian Neural Networks with Differentiable Contact Models | Feb 12, 2021 | Contact mechanicsFriction | 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 |
| Composing Object Relations and Attributes for Image-Text Matching | Jun 17, 2024 | AttributeGraph Attention | CodeCode Available | 1 | 5 |
| Cross Aggregation Transformer for Image Restoration | Nov 24, 2022 | Image RestorationInductive Bias | CodeCode Available | 1 | 5 |
| AO2-DETR: Arbitrary-Oriented Object Detection Transformer | May 25, 2022 | DecoderInductive Bias | CodeCode Available | 1 | 5 |
| Crystal Diffusion Variational Autoencoder for Periodic Material Generation | Oct 12, 2021 | DecoderInductive Bias | CodeCode Available | 1 | 5 |
| Container: Context Aggregation Network | Jun 2, 2021 | Image ClassificationInductive Bias | 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 |
| Exploring End-to-End Differentiable Natural Logic Modeling | Nov 8, 2020 | Inductive 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 |
| Boosting Image Quality Assessment through Efficient Transformer Adaptation with Local Feature Enhancement | Jan 1, 2024 | Image Quality AssessmentInductive Bias | CodeCode Available | 1 | 5 |
| Graph Image Prior for Unsupervised Dynamic Cardiac Cine MRI Reconstruction | Mar 23, 2024 | compressed sensingImage Generation | CodeCode Available | 1 | 5 |
| Deep Random Features for Scalable Interpolation of Spatiotemporal Data | Dec 16, 2024 | Earth ObservationGaussian Processes | CodeCode Available | 1 | 5 |
| Few-shot Learner Parameterization by Diffusion Time-steps | Mar 5, 2024 | Few-Shot LearningInductive Bias | CodeCode Available | 1 | 5 |
| Fuzzy Graph Neural Network for Few-Shot Learning | Jul 19, 2020 | Few-Shot LearningGraph Neural Network | CodeCode Available | 1 | 5 |
| ExpBERT: Representation Engineering with Natural Language Explanations | May 5, 2020 | Inductive BiasRelation Extraction | 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 |
| 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 |
| Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small Datasets | Jul 28, 2024 | image-classificationImage Classification | 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 |
| Hierarchical Kickstarting for Skill Transfer in Reinforcement Learning | Jul 23, 2022 | Inductive BiasNetHack | CodeCode Available | 1 | 5 |
| Code Generation from Natural Language with Less Prior Knowledge and More Monolingual Data | Aug 1, 2021 | Code GenerationInductive 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 |
| CANINE: Pre-training an Efficient Tokenization-Free Encoder for Language Representation | Mar 11, 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 |
| H-Transformer-1D: Fast One-Dimensional Hierarchical Attention for Sequences | Jul 25, 2021 | Inductive BiasLanguage Modelling | CodeCode Available | 1 | 5 |
| Amortized Inference for Causal Structure Learning | May 25, 2022 | Causal DiscoveryInductive Bias | 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 |
| Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces | Nov 1, 2021 | Bayesian OptimizationDrug Design | CodeCode Available | 1 | 5 |
