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Inductive Bias

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Showing 526–550 of 1529 papers

TitleStatusHype
Kernels, Data & Physics—0
Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion FunctionalsCode0
WaveMixSR: A Resource-efficient Neural Network for Image Super-resolutionCode1
Hardwiring ViT Patch Selectivity into CNNs using Patch Mixing—0
On the Identifiability of Quantized FactorsCode0
A generic self-supervised learning (SSL) framework for representation learning from spectra-spatial feature of unlabeled remote sensing imagery—0
Augmenting Control over Exploration Space in Molecular Dynamics Simulators to Streamline De Novo Analysis through Generative Control Policies—0
A Circuit Complexity Formulation of Algorithmic Information Theory—0
Scaling MLPs: A Tale of Inductive BiasCode1
The Inductive Bias of Flatness Regularization for Deep Matrix Factorization—0
Learning Latent Dynamics via Invariant Decomposition and (Spatio-)Temporal Transformers—0
ProtoGate: Prototype-based Neural Networks with Global-to-local Feature Selection for Tabular Biomedical DataCode1
FDNet: Focal Decomposed Network for Efficient, Robust and Practical Time Series ForecastingCode1
Neural World Models for Computer Vision—0
Hidden Biases of End-to-End Driving ModelsCode2
Reviving Shift Equivariance in Vision Transformers—0
Analysis of the Relative Entropy Asymmetry in the Regularization of Empirical Risk Minimization—0
Diverse Projection Ensembles for Distributional Reinforcement Learning—0
2-D SSM: A General Spatial Layer for Visual TransformersCode1
On the Efficacy of 3D Point Cloud Reinforcement LearningCode1
How to Learn and Generalize From Three Minutes of Data: Physics-Constrained and Uncertainty-Aware Neural Stochastic Differential Equations—0
On Robot Grasp Learning Using Equivariant ModelsCode1
Feature Programming for Multivariate Time Series PredictionCode1
In-Context Learning through the Bayesian PrismCode0
Enabling tabular deep learning when d n with an auxiliary knowledge graph—0
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