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Inductive Bias

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Showing 51–100 of 1529 papers

TitleStatusHype
Small-E: Small Language Model with Linear Attention for Efficient Speech SynthesisCode2
A Light Recipe to Train Robust Vision TransformersCode1
DRew: Dynamically Rewired Message Passing with DelayCode1
Dynamic Graph Learning-Neural Network for Multivariate Time Series ModelingCode1
Distinguish Confusion in Legal Judgment Prediction via Revised Relation KnowledgeCode1
AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential RecommendationCode1
Distribution inference risks: Identifying and mitigating sources of leakageCode1
AGTCNet: A Graph-Temporal Approach for Principled Motor Imagery EEG ClassificationCode1
Disentanglement via Latent QuantizationCode1
DMAP: a Distributed Morphological Attention Policy for Learning to Locomote with a Changing BodyCode1
Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic ParsingCode1
Dual Progressive Transformations for Weakly Supervised Semantic SegmentationCode1
DiMSUM: Diffusion Mamba -- A Scalable and Unified Spatial-Frequency Method for Image GenerationCode1
A Generalization of Transformer Networks to GraphsCode1
A Generalizable Model-and-Data Driven Approach for Open-Set RFF AuthenticationCode1
Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small DatasetsCode1
Directed Acyclic Graph Neural NetworksCode1
Deep Random Features for Scalable Interpolation of Spatiotemporal DataCode1
DeiT-LT Distillation Strikes Back for Vision Transformer Training on Long-Tailed DatasetsCode1
Deep Image Fingerprint: Towards Low Budget Synthetic Image Detection and Model Lineage AnalysisCode1
A Structured Span SelectorCode1
Deep Image PriorCode1
Dependency Transformer Grammars: Integrating Dependency Structures into Transformer Language ModelsCode1
Discovering and Explaining the Representation Bottleneck of Graph Neural Networks from Multi-order InteractionsCode1
Discovering Dynamic Salient Regions for Spatio-Temporal Graph Neural NetworksCode1
Cross Aggregation Transformer for Image RestorationCode1
Counterexample-Guided Learning of Monotonic Neural NetworksCode1
Cross-Domain Few-Shot Classification via Adversarial Task AugmentationCode1
Cost Aggregation Is All You Need for Few-Shot SegmentationCode1
Convolutional Initialization for Data-Efficient Vision TransformersCode1
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot SegmentationCode1
Crystal Diffusion Variational Autoencoder for Periodic Material GenerationCode1
AO2-DETR: Arbitrary-Oriented Object Detection TransformerCode1
Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy BiasesCode1
Container: Context Aggregation NetworkCode1
Extending Lagrangian and Hamiltonian Neural Networks with Differentiable Contact ModelsCode1
Contrastive Syn-to-Real GeneralizationCode1
Convolutional Bypasses Are Better Vision Transformer AdaptersCode1
An Investigation of Why Overparameterization Exacerbates Spurious CorrelationsCode1
Correlation Loss: Enforcing Correlation between Classification and LocalizationCode1
Approximately Equivariant Networks for Imperfectly Symmetric DynamicsCode1
CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image SegmentationCode1
A Simple and Universal Rotation Equivariant Point-cloud NetworkCode1
A Simple but Strong Baseline for Sounding Video Generation: Effective Adaptation of Audio and Video Diffusion Models for Joint GenerationCode1
Compressing Features for Learning with Noisy LabelsCode1
A Random CNN Sees Objects: One Inductive Bias of CNN and Its ApplicationsCode1
Architectural Backdoors in Neural NetworksCode1
Data-Free Knowledge Distillation for Heterogeneous Federated LearningCode1
Deep Implicit Optimization enables Robust Learnable Features for Deformable Image RegistrationCode1
Container: Context Aggregation NetworksCode1
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