| LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning | Jan 15, 2021 | Inductive BiasMathematical Reasoning | CodeCode Available | 1 | 5 |
| End-to-End Referring Video Object Segmentation with Multimodal Transformers | Nov 29, 2021 | Inductive BiasInstance Segmentation | CodeCode Available | 1 | 5 |
| Locality-Sensitive Hashing-Based Efficient Point Transformer with Applications in High-Energy Physics | Feb 19, 2024 | Inductive Bias | CodeCode Available | 1 | 5 |
| Categorical Normalizing Flows via Continuous Transformations | Jun 17, 2020 | DecoderInductive Bias | CodeCode Available | 1 | 5 |
| Correlation Loss: Enforcing Correlation between Classification and Localization | Jan 3, 2023 | ClassificationInductive Bias | CodeCode Available | 1 | 5 |
| Energy-based Potential Games for Joint Motion Forecasting and Control | Dec 4, 2023 | Inductive BiasMotion Forecasting | CodeCode Available | 1 | 5 |
| A Generalizable Model-and-Data Driven Approach for Open-Set RFF Authentication | Aug 10, 2021 | Inductive Bias | CodeCode Available | 1 | 5 |
| Cost Aggregation Is All You Need for Few-Shot Segmentation | Dec 22, 2021 | AllDecoder | CodeCode Available | 1 | 5 |
| Are Sparse Autoencoders Useful? A Case Study in Sparse Probing | Feb 23, 2025 | Inductive BiasLarge Language Model | CodeCode Available | 1 | 5 |
| Equivariant Mesh Attention Networks | May 21, 2022 | Inductive Bias | CodeCode Available | 1 | 5 |
| Amortized Inference for Causal Structure Learning | May 25, 2022 | Causal DiscoveryInductive Bias | CodeCode Available | 1 | 5 |
| A Generalization of Transformer Networks to Graphs | Dec 17, 2020 | Graph RegressionInductive Bias | CodeCode Available | 1 | 5 |
| Graph Generation with Diffusion Mixture | Feb 7, 2023 | 3D Molecule GenerationGraph Generation | CodeCode Available | 1 | 5 |
| Chunked Autoregressive GAN for Conditional Waveform Synthesis | Oct 19, 2021 | Inductive Bias | CodeCode Available | 1 | 5 |
| Arithmetic Feature Interaction Is Necessary for Deep Tabular Learning | Feb 4, 2024 | Inductive Bias | CodeCode Available | 1 | 5 |
| Emergent Representations of Program Semantics in Language Models Trained on Programs | May 18, 2023 | Inductive BiasLanguage Modelling | CodeCode Available | 1 | 5 |
| Evolving Modular Soft Robots without Explicit Inter-Module Communication using Local Self-Attention | Apr 13, 2022 | Inductive Bias | CodeCode Available | 1 | 5 |
| CMUNeXt: An Efficient Medical Image Segmentation Network based on Large Kernel and Skip Fusion | Aug 2, 2023 | Image SegmentationInductive Bias | CodeCode Available | 1 | 5 |
| Exact Hard Monotonic Attention for Character-Level Transduction | May 15, 2019 | Hard AttentionInductive Bias | CodeCode Available | 1 | 5 |
| CoAtNet: Marrying Convolution and Attention for All Data Sizes | Jun 9, 2021 | AllImage Classification | 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 |
| Examining the Inductive Bias of Neural Language Models with Artificial Languages | Jun 2, 2021 | Inductive 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 |
| Exploiting Inductive Bias in Transformer for Point Cloud Classification and Segmentation | Apr 27, 2023 | 3D Object Classification3D Part Segmentation | CodeCode Available | 1 | 5 |
| Global Relational Models of Source Code | May 1, 2020 | Inductive BiasProgram Repair | CodeCode Available | 1 | 5 |
| Fuzzy Graph Neural Network for Few-Shot Learning | Jul 19, 2020 | Few-Shot LearningGraph Neural Network | CodeCode Available | 1 | 5 |
| AGTCNet: A Graph-Temporal Approach for Principled Motor Imagery EEG Classification | Jun 26, 2025 | Brain Computer InterfaceEEG | CodeCode Available | 1 | 5 |
| Exploiting Inductive Bias in Transformers for Unsupervised Disentanglement of Syntax and Semantics with VAEs | May 12, 2022 | DecoderDisentanglement | 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 |
| Exploring Diffusion Time-steps for Unsupervised Representation Learning | Jan 21, 2024 | Attributecounterfactual | CodeCode Available | 1 | 5 |
| AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation | May 18, 2022 | Inductive BiasSequential Recommendation | CodeCode Available | 1 | 5 |
| Communicative Message Passing for Inductive Relation Reasoning | Dec 16, 2020 | Inductive BiasInductive Relation Prediction | CodeCode Available | 1 | 5 |
| GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks | Feb 1, 2022 | Inductive Bias | CodeCode Available | 1 | 5 |
| Composing Object Relations and Attributes for Image-Text Matching | Jun 17, 2024 | AttributeGraph Attention | CodeCode Available | 1 | 5 |
| Convolutional Initialization for Data-Efficient Vision Transformers | Jan 23, 2024 | Inductive Bias | CodeCode Available | 1 | 5 |
| ModeRNN: Harnessing Spatiotemporal Mode Collapse in Unsupervised Predictive Learning | Oct 8, 2021 | Inductive Bias | CodeCode Available | 1 | 5 |
| A Structured Span Selector | May 8, 2022 | coreference-resolutionCoreference Resolution | CodeCode Available | 1 | 5 |
| MTSCI: A Conditional Diffusion Model for Multivariate Time Series Consistent Imputation | Aug 11, 2024 | DenoisingImputation | CodeCode Available | 1 | 5 |
| 2-D SSM: A General Spatial Layer for Visual Transformers | Jun 11, 2023 | Inductive BiasPosition | 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 |
| Compressing Features for Learning with Noisy Labels | Jun 27, 2022 | Feature CompressionFeature Importance | CodeCode Available | 1 | 5 |
| Feature Programming for Multivariate Time Series Prediction | Jun 9, 2023 | Automated Feature EngineeringFeature Engineering | CodeCode Available | 1 | 5 |
| Graph Inductive Biases in Transformers without Message Passing | May 27, 2023 | Graph ClassificationGraph Regression | CodeCode Available | 1 | 5 |
| Few-shot Learner Parameterization by Diffusion Time-steps | Mar 5, 2024 | Few-Shot LearningInductive Bias | CodeCode Available | 1 | 5 |
| Filter-informed Spectral Graph Wavelet Networks for Multiscale Feature Extraction and Intelligent Fault Diagnosis | Mar 27, 2023 | DiagnosticFault Diagnosis | CodeCode Available | 1 | 5 |
| Fine-grained style control in Transformer-based Text-to-speech Synthesis | Oct 12, 2021 | Inductive BiasSpeech Synthesis | CodeCode Available | 1 | 5 |
| Container: Context Aggregation Network | Jun 2, 2021 | Image ClassificationInductive Bias | CodeCode Available | 1 | 5 |
| Container: Context Aggregation Networks | Dec 1, 2021 | Inductive BiasInstance Segmentation | CodeCode Available | 1 | 5 |
| Test-time Adaptation with Slot-Centric Models | Mar 21, 2022 | image-classificationImage Classification | 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 |
