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Inductive Bias

Papers

Showing 951975 of 1529 papers

TitleStatusHype
Relating graph auto-encoders to linear models0
Instance-Dependent Generalization Bounds via Optimal Transport0
When Do We Need Graph Neural Networks for Node Classification?0
Automated analysis of diabetic retinopathy using vessel segmentation maps as inductive bias0
Introducing topography in convolutional neural networksCode0
IB-U-Nets: Improving medical image segmentation tasks with 3D Inductive Biased kernelsCode0
Multi-Viewpoint and Multi-Evaluation with Felicitous Inductive Bias Boost Machine Abstract Reasoning AbilityCode0
TabMixer: Excavating Label Distribution Learning with Small-scale Features0
A PAC-Bayesian Generalization Bound for Equivariant Networks0
NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data AugmentationCode0
The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection0
Bayesian Convolutional Deep Sets with Task-Dependent Stationary Prior0
Large-scale learning of generalised representations for speaker recognition0
A Dimension-Augmented Physics-Informed Neural Network (DaPINN) with High Level Accuracy and Efficiency0
Disentangling the Predictive Variance of Deep Ensembles through the Neural Tangent Kernel0
Modeling Context With Linear Attention for Scalable Document-Level TranslationCode0
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models0
Learning Physical Dynamics with Subequivariant Graph Neural Networks0
Vision Transformers provably learn spatial structure0
Fast Estimation of Bayesian State Space Models Using Amortized Simulation-Based Inference0
A Generalist Framework for Panoptic Segmentation of Images and Videos0
S4ND: Modeling Images and Videos as Multidimensional Signals Using State Spaces0
Fast-ParC: Capturing Position Aware Global Feature for ConvNets and ViTs0
Small Character Models Match Large Word Models for Autocomplete Under Memory ConstraintsCode0
Towards Flexible Inductive Bias via Progressive Reparameterization Scheduling0
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