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Inductive Bias

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Showing 51–100 of 1529 papers

TitleStatusHype
Prototypical Networks for Few-shot LearningCode2
AGTCNet: A Graph-Temporal Approach for Principled Motor Imagery EEG ClassificationCode1
PolyPose: Localizing Deformable Anatomy in 3D from Sparse 2D X-ray Images using Polyrigid TransformsCode1
Stronger ViTs With Octic EquivarianceCode1
VoteFlow: Enforcing Local Rigidity in Self-Supervised Scene FlowCode1
Wyckoff Transformer: Generation of Symmetric CrystalsCode1
Are Sparse Autoencoders Useful? A Case Study in Sparse ProbingCode1
LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model AdaptationCode1
Deep Random Features for Scalable Interpolation of Spatiotemporal DataCode1
Training MLPs on Graphs without SupervisionCode1
DiMSUM: Diffusion Mamba -- A Scalable and Unified Spatial-Frequency Method for Image GenerationCode1
Regress, Don't Guess -- A Regression-like Loss on Number Tokens for Language ModelsCode1
Understanding Generalizability of Diffusion Models Requires Rethinking the Hidden Gaussian StructureCode1
Physics-Informed Regularization for Domain-Agnostic Dynamical System ModelingCode1
A Simple but Strong Baseline for Sounding Video Generation: Effective Adaptation of Audio and Video Diffusion Models for Joint GenerationCode1
Spatially-Aware Diffusion Models with Cross-Attention for Global Field Reconstruction with Sparse ObservationsCode1
Unsupervised Composable Representations for AudioCode1
Distinguish Confusion in Legal Judgment Prediction via Revised Relation KnowledgeCode1
VF-NeRF: Learning Neural Vector Fields for Indoor Scene ReconstructionCode1
MTSCI: A Conditional Diffusion Model for Multivariate Time Series Consistent ImputationCode1
Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small DatasetsCode1
Dependency Transformer Grammars: Integrating Dependency Structures into Transformer Language ModelsCode1
The Art of Imitation: Learning Long-Horizon Manipulation Tasks from Few DemonstrationsCode1
Hierarchical Separable Video Transformer for Snapshot Compressive ImagingCode1
PartImageNet++ Dataset: Scaling up Part-based Models for Robust RecognitionCode1
G-Adaptivity: optimised graph-based mesh relocation for finite element methodsCode1
Unlocking Continual Learning Abilities in Language ModelsCode1
Probing the effects of broken symmetries in machine learningCode1
Composing Object Relations and Attributes for Image-Text MatchingCode1
Leveraging Locality to Boost Sample Efficiency in Robotic ManipulationCode1
Scale Equivariant Graph MetanetworksCode1
Deep Implicit Optimization enables Robust Learnable Features for Deformable Image RegistrationCode1
MLPs Learn In-Context on Regression and Classification TasksCode1
E(n) Equivariant Topological Neural NetworksCode1
Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular DomainsCode1
Forecasting with Hyper-TreesCode1
Spatiotemporal Implicit Neural Representation as a Generalized Traffic Data LearnerCode1
No One-Size-Fits-All Neurons: Task-based Neurons for Artificial Neural NetworksCode1
HSViT: Horizontally Scalable Vision TransformerCode1
DeiT-LT Distillation Strikes Back for Vision Transformer Training on Long-Tailed DatasetsCode1
Heracles: A Hybrid SSM-Transformer Model for High-Resolution Image and Time-Series AnalysisCode1
Graph Image Prior for Unsupervised Dynamic Cardiac Cine MRI ReconstructionCode1
Few-shot Learner Parameterization by Diffusion Time-stepsCode1
Scaling physics-informed hard constraints with mixture-of-expertsCode1
Locality-Sensitive Hashing-Based Efficient Point Transformer with Applications in High-Energy PhysicsCode1
FViT: A Focal Vision Transformer with Gabor FilterCode1
SimMLP: Training MLPs on Graphs without SupervisionCode1
Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy BiasesCode1
HyperBERT: Mixing Hypergraph-Aware Layers with Language Models for Node Classification on Text-Attributed HypergraphsCode1
Arithmetic Feature Interaction Is Necessary for Deep Tabular LearningCode1
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