| LPFormer: An Adaptive Graph Transformer for Link Prediction | Oct 17, 2023 | Inductive BiasLink Prediction | CodeCode Available | 1 |
| Distribution inference risks: Identifying and mitigating sources of leakage | Sep 18, 2022 | Inductive Bias | CodeCode Available | 1 |
| Backdoor Attacks on Self-Supervised Learning | May 21, 2021 | Backdoor AttackInductive Bias | CodeCode Available | 1 |
| DRew: Dynamically Rewired Message Passing with Delay | May 13, 2023 | Graph ClassificationGraph Regression | CodeCode Available | 1 |
| GREED: A Neural Framework for Learning Graph Distance Functions | Dec 24, 2021 | CPUGPU | CodeCode Available | 1 |
| Dynamic Graph Learning-Neural Network for Multivariate Time Series Modeling | Dec 6, 2021 | Graph LearningInductive Bias | CodeCode Available | 1 |
| Discovering Dynamic Salient Regions for Spatio-Temporal Graph Neural Networks | Sep 17, 2020 | Inductive BiasObject | CodeCode Available | 1 |
| Dynamic Token Normalization Improves Vision Transformers | Dec 5, 2021 | Inductive BiasListOps | CodeCode Available | 1 |
| Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small Datasets | Jul 28, 2024 | image-classificationImage Classification | CodeCode Available | 1 |
| Code Generation from Natural Language with Less Prior Knowledge and More Monolingual Data | Aug 1, 2021 | Code GenerationInductive Bias | CodeCode Available | 1 |
| An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality | Feb 14, 2020 | Inductive BiasMetric Learning | CodeCode Available | 1 |
| CMUNeXt: An Efficient Medical Image Segmentation Network based on Large Kernel and Skip Fusion | Aug 2, 2023 | Image SegmentationInductive Bias | CodeCode Available | 1 |
| ADeLA: Automatic Dense Labeling with Attention for Viewpoint Adaptation in Semantic Segmentation | Jul 29, 2021 | Domain AdaptationHallucination | CodeCode Available | 1 |
| Charformer: Fast Character Transformers via Gradient-based Subword Tokenization | Jun 23, 2021 | Inductive BiasLinguistic Acceptability | CodeCode Available | 1 |
| Dependency Transformer Grammars: Integrating Dependency Structures into Transformer Language Models | Jul 24, 2024 | ARCInductive Bias | CodeCode Available | 1 |
| Equivariance and Invariance Inductive Bias for Learning from Insufficient Data | Jul 25, 2022 | Inductive Bias | CodeCode Available | 1 |
| An Investigation of Why Overparameterization Exacerbates Spurious Correlations | May 9, 2020 | Inductive Bias | CodeCode Available | 1 |
| Distinguish Confusion in Legal Judgment Prediction via Revised Relation Knowledge | Aug 18, 2024 | ArticlesInductive Bias | CodeCode Available | 1 |
| Extending Lagrangian and Hamiltonian Neural Networks with Differentiable Contact Models | Feb 12, 2021 | Contact mechanicsFriction | CodeCode Available | 1 |
| EViT: An Eagle Vision Transformer with Bi-Fovea Self-Attention | Oct 10, 2023 | Computational Efficiencyimage-classification | CodeCode Available | 1 |
| Exact Hard Monotonic Attention for Character-Level Transduction | May 15, 2019 | Hard AttentionInductive Bias | CodeCode Available | 1 |
| Examining the Inductive Bias of Neural Language Models with Artificial Languages | Jun 2, 2021 | Inductive Bias | CodeCode Available | 1 |
| AO2-DETR: Arbitrary-Oriented Object Detection Transformer | May 25, 2022 | DecoderInductive Bias | CodeCode Available | 1 |
| Explain and Predict, and then Predict Again | Jan 11, 2021 | Explanation GenerationFact Verification | CodeCode Available | 1 |
| Embrace the Gap: VAEs Perform Independent Mechanism Analysis | Jun 6, 2022 | DecoderInductive Bias | CodeCode Available | 1 |
| Exploring End-to-End Differentiable Natural Logic Modeling | Nov 8, 2020 | Inductive Bias | CodeCode Available | 1 |
| FDNet: Focal Decomposed Network for Efficient, Robust and Practical Time Series Forecasting | Jun 19, 2023 | Inductive BiasTime Series | CodeCode Available | 1 |
| Feature Programming for Multivariate Time Series Prediction | Jun 9, 2023 | Automated Feature EngineeringFeature Engineering | CodeCode Available | 1 |
| Deep Image Prior | Nov 29, 2017 | DenoisingFeature Upsampling | CodeCode Available | 1 |
| Filter-informed Spectral Graph Wavelet Networks for Multiscale Feature Extraction and Intelligent Fault Diagnosis | Mar 27, 2023 | DiagnosticFault Diagnosis | CodeCode Available | 1 |
| Fine-grained Temporal Contrastive Learning for Weakly-supervised Temporal Action Localization | Mar 31, 2022 | Action LocalizationClassification | CodeCode Available | 1 |
| Fitting Auditory Filterbanks with Multiresolution Neural Networks | Jul 25, 2023 | Inductive BiasKnowledge Distillation | CodeCode Available | 1 |
| Approximately Equivariant Networks for Imperfectly Symmetric Dynamics | Jan 28, 2022 | Inductive Bias | 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 |
| AMR Parsing with Action-Pointer Transformer | Apr 29, 2021 | Abstract Meaning RepresentationAMR Parsing | CodeCode Available | 1 |
| Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces | Nov 1, 2021 | Bayesian OptimizationDrug Design | CodeCode Available | 1 |
| Generalization and Robustness Implications in Object-Centric Learning | Jul 1, 2021 | Inductive BiasObject | CodeCode Available | 1 |
| Bridging the Gap Between Vision Transformers and Convolutional Neural Networks on Small Datasets | Oct 12, 2022 | Inductive Bias | CodeCode Available | 1 |
| Test-time Adaptation with Slot-Centric Models | Mar 21, 2022 | image-classificationImage Classification | CodeCode Available | 1 |
| Deep Implicit Optimization enables Robust Learnable Features for Deformable Image Registration | Jun 11, 2024 | Image RegistrationInductive Bias | CodeCode Available | 1 |
| Building powerful and equivariant graph neural networks with structural message-passing | Jun 26, 2020 | Graph RegressionInductive Bias | CodeCode Available | 1 |
| Data-Free Knowledge Distillation for Heterogeneous Federated Learning | May 20, 2021 | Data-free Knowledge DistillationFederated Learning | 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 |
| Graph Inductive Biases in Transformers without Message Passing | May 27, 2023 | Graph ClassificationGraph Regression | CodeCode Available | 1 |
| SimMLP: Training MLPs on Graphs without Supervision | Feb 14, 2024 | Fraud DetectionGraph Classification | CodeCode Available | 1 |
| Compositional Learning of Dynamical System Models Using Port-Hamiltonian Neural Networks | Dec 1, 2022 | Inductive Bias | CodeCode Available | 1 |
| Amortized Inference for Causal Structure Learning | May 25, 2022 | Causal DiscoveryInductive Bias | CodeCode Available | 1 |
