SOTAVerified

Inductive Bias

Papers

Showing 301325 of 1529 papers

TitleStatusHype
Bundle Neural Networks for message diffusion on graphs0
MLPs Learn In-Context on Regression and Classification TasksCode1
Symmetric Linear Bandits with Hidden SymmetryCode0
Control, Transport and Sampling: Towards Better Loss Design0
Bond Graphs for multi-physics informed Neural Networks for multi-variate time series0
Learning Object-Centric Representation via Reverse Hierarchy Guidance0
Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular DomainsCode1
Forecasting with Hyper-TreesCode1
OXYGENERATOR: Reconstructing Global Ocean Deoxygenation Over a Century with Deep Learning0
Demystifying the Hypercomplex: Inductive Biases in Hypercomplex Deep Learning0
Finding structure in logographic writing with library learning0
The Role of Learning Algorithms in Collective Action0
sc-OTGM: Single-Cell Perturbation Modeling by Solving Optimal Mass Transport on the Manifold of Gaussian Mixtures0
Spatiotemporal Implicit Neural Representation as a Generalized Traffic Data LearnerCode1
Convolutional Learning on Directed Acyclic GraphsCode0
U-DiTs: Downsample Tokens in U-Shaped Diffusion TransformersCode3
No One-Size-Fits-All Neurons: Task-based Neurons for Artificial Neural NetworksCode1
Hidden Synergy: L_1 Weight Normalization and 1-Path-Norm Regularization0
Changing the Training Data Distribution to Reduce Simplicity Bias Improves In-distribution Generalization0
Learning Syntax Without Planting Trees: Understanding When and Why Transformers Generalize HierarchicallyCode0
Gradformer: Graph Transformer with Exponential DecayCode2
Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and ChallengesCode2
SPARO: Selective Attention for Robust and Compositional Transformer Encodings for VisionCode0
Are Biological Systems More Intelligent Than Artificial Intelligence?0
Uncertainty in latent representations of variational autoencoders optimized for visual tasksCode0
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