| Rethinking Content and Style: Exploring Bias for Unsupervised Disentanglement | Feb 21, 2021 | 3D ReconstructionDisentanglement | CodeCode Available | 1 |
| Rethinking Deep Image Prior for Denoising | Aug 29, 2021 | DenoisingInductive Bias | CodeCode Available | 1 |
| Structure Inducing Pre-Training | Mar 18, 2021 | DescriptiveInductive Bias | CodeCode Available | 1 |
| Revealing the Dark Secrets of Masked Image Modeling | May 26, 2022 | Depth EstimationDiversity | CodeCode Available | 1 |
| 2-D SSM: A General Spatial Layer for Visual Transformers | Jun 11, 2023 | Inductive BiasPosition | CodeCode Available | 1 |
| Examining the Inductive Bias of Neural Language Models with Artificial Languages | Jun 2, 2021 | Inductive Bias | CodeCode Available | 1 |
| Exploiting Inductive Bias in Transformers for Unsupervised Disentanglement of Syntax and Semantics with VAEs | May 12, 2022 | DecoderDisentanglement | 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 |
| Emergent Representations of Program Semantics in Language Models Trained on Programs | May 18, 2023 | Inductive BiasLanguage Modelling | CodeCode Available | 1 |
| Convolutional Initialization for Data-Efficient Vision Transformers | Jan 23, 2024 | Inductive Bias | CodeCode Available | 1 |
| EViT: An Eagle Vision Transformer with Bi-Fovea Self-Attention | Oct 10, 2023 | Computational Efficiencyimage-classification | CodeCode Available | 1 |
| Energy-Based Learning for Scene Graph Generation | Mar 3, 2021 | Graph GenerationInductive Bias | CodeCode Available | 1 |
| E(n) Equivariant Topological Neural Networks | May 24, 2024 | Inductive BiasMolecular Property Prediction | CodeCode Available | 1 |
| Energy-based Potential Games for Joint Motion Forecasting and Control | Dec 4, 2023 | Inductive BiasMotion Forecasting | CodeCode Available | 1 |
| Convolutional Bypasses Are Better Vision Transformer Adapters | Jul 14, 2022 | Few-Shot LearningInductive Bias | CodeCode Available | 1 |
| Embrace the Gap: VAEs Perform Independent Mechanism Analysis | Jun 6, 2022 | DecoderInductive Bias | CodeCode Available | 1 |
| End-to-End Referring Video Object Segmentation with Multimodal Transformers | Nov 29, 2021 | Inductive BiasInstance Segmentation | CodeCode Available | 1 |
| A microstructure estimation Transformer inspired by sparse representation for diffusion MRI | May 13, 2022 | Diffusion MRIInductive Bias | CodeCode Available | 1 |
| Equivariant Mesh Attention Networks | May 21, 2022 | Inductive Bias | CodeCode Available | 1 |
| Error Correction Code Transformer | Mar 27, 2022 | Inductive Bias | CodeCode Available | 1 |
| Equivariance and Invariance Inductive Bias for Learning from Insufficient Data | Jul 25, 2022 | Inductive Bias | CodeCode Available | 1 |
| Correlation Loss: Enforcing Correlation between Classification and Localization | Jan 3, 2023 | ClassificationInductive Bias | CodeCode Available | 1 |
| Cost Aggregation Is All You Need for Few-Shot Segmentation | Dec 22, 2021 | AllDecoder | CodeCode Available | 1 |
| Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation | Jul 22, 2022 | DecoderFew-Shot Semantic Segmentation | CodeCode Available | 1 |
| Evolving Modular Soft Robots without Explicit Inter-Module Communication using Local Self-Attention | Apr 13, 2022 | Inductive Bias | CodeCode Available | 1 |
| ExpBERT: Representation Engineering with Natural Language Explanations | May 5, 2020 | Inductive BiasRelation Extraction | CodeCode Available | 1 |
| CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation | Mar 4, 2021 | Image SegmentationInductive Bias | CodeCode Available | 1 |
| Counterexample-Guided Learning of Monotonic Neural Networks | Jun 16, 2020 | Inductive Bias | CodeCode Available | 1 |
| Cross Aggregation Transformer for Image Restoration | Nov 24, 2022 | Image RestorationInductive Bias | CodeCode Available | 1 |
| Cross-Domain Few-Shot Classification via Adversarial Task Augmentation | Apr 29, 2021 | ClassificationCross-Domain Few-Shot | CodeCode Available | 1 |
| Exploring Diffusion Time-steps for Unsupervised Representation Learning | Jan 21, 2024 | Attributecounterfactual | CodeCode Available | 1 |
| Exploring End-to-End Differentiable Natural Logic Modeling | Nov 8, 2020 | Inductive Bias | CodeCode Available | 1 |
| Crystal Diffusion Variational Autoencoder for Periodic Material Generation | Oct 12, 2021 | DecoderInductive Bias | CodeCode Available | 1 |
| CSformer: Bridging Convolution and Transformer for Compressive Sensing | Dec 31, 2021 | Compressive SensingInductive Bias | CodeCode Available | 1 |
| Cumulative Spatial Knowledge Distillation for Vision Transformers | Jul 17, 2023 | Inductive BiasKnowledge Distillation | CodeCode Available | 1 |
| DeiT-LT Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets | Apr 3, 2024 | Image ClassificationInductive Bias | CodeCode Available | 1 |
| Dynamic Token Normalization Improves Vision Transformers | Dec 5, 2021 | Inductive BiasListOps | CodeCode Available | 1 |
| Discovering Dynamic Salient Regions for Spatio-Temporal Graph Neural Networks | Sep 17, 2020 | Inductive BiasObject | CodeCode Available | 1 |
| Global Self-Attention as a Replacement for Graph Convolution | Aug 7, 2021 | Edge ClassificationGraph Classification | CodeCode Available | 1 |
| Forecasting with Hyper-Trees | May 13, 2024 | Inductive BiasTime Series | CodeCode Available | 1 |
| Backdoor Attacks on Self-Supervised Learning | May 21, 2021 | Backdoor AttackInductive Bias | CodeCode Available | 1 |
| From Learning to Meta-Learning: Reduced Training Overhead and Complexity for Communication Systems | Jan 5, 2020 | BIG-bench Machine LearningInductive Bias | CodeCode Available | 1 |
| LPFormer: An Adaptive Graph Transformer for Link Prediction | Oct 17, 2023 | Inductive BiasLink Prediction | CodeCode Available | 1 |
| Data-Free Knowledge Distillation for Heterogeneous Federated Learning | May 20, 2021 | Data-free Knowledge DistillationFederated Learning | CodeCode Available | 1 |
| A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities | May 30, 2019 | DiversityInductive Bias | CodeCode Available | 1 |
| Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small Datasets | Jul 28, 2024 | image-classificationImage Classification | CodeCode Available | 1 |
| Test-time Adaptation with Slot-Centric Models | Mar 21, 2022 | image-classificationImage Classification | 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 |
| Deep Image Prior | Nov 29, 2017 | DenoisingFeature Upsampling | CodeCode Available | 1 |
| Deep Implicit Optimization enables Robust Learnable Features for Deformable Image Registration | Jun 11, 2024 | Image RegistrationInductive Bias | CodeCode Available | 1 |