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Inductive Bias

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Showing 451–500 of 1529 papers

TitleStatusHype
Hardwiring ViT Patch Selectivity into CNNs using Patch Mixing—0
Equivariant Spherical Transformer for Efficient Molecular Modeling—0
A General Purpose Neural Architecture for Geospatial Systems—0
Equivariant score-based generative models provably learn distributions with symmetries efficiently—0
Equivariant Reinforcement Learning under Partial Observability—0
Artificial general intelligence through recursive data compression and grounded reasoning: a position paper—0
Experiments with Rich Regime Training for Deep Learning—0
Explainability and Robustness of Deep Visual Classification Models—0
Hamiltonian GAN—0
Equivariant Quantum Graph Circuits—0
Closure Discovery for Coarse-Grained Partial Differential Equations Using Grid-based Reinforcement Learning—0
Physics Enhanced Data-Driven Models with Variational Gaussian Processes—0
Classification by Attention: Scene Graph Classification with Prior Knowledge—0
Equivariant Neural Network for Factor Graphs—0
GvT: A Graph-based Vision Transformer with Talking-Heads Utilizing Sparsity, Trained from Scratch on Small Datasets—0
Handling geometrical variability in nonlinear reduced order modeling through Continuous Geometry-Aware DL-ROMs—0
Harmonic (Quantum) Neural Networks—0
Exploiting the equivalence between quantum neural networks and perceptrons—0
A Riemannian Framework for Learning Reduced-order Lagrangian Dynamics—0
Equivalence of the Empirical Risk Minimization to Regularization on the Family of f-Divergences—0
ChemKANs for Combustion Chemistry Modeling and Acceleration—0
A Cognitive Regularizer for Language Modeling—0
Compositional Deep Learning—0
Expressivity and Generalization: Fragment-Biases for Molecular GNNs—0
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models—0
Factors for the Generalisation of Identity Relations by Neural Networks—0
Fading memory as inductive bias in residual recurrent networks—0
Failure-Proof Non-Contrastive Self-Supervised Learning—0
EqR: Equivariant Representations for Data-Efficient Reinforcement Learning—0
EqNIO: Subequivariant Neural Inertial Odometry—0
EPContrast: Effective Point-level Contrastive Learning for Large-scale Point Cloud Understanding—0
ChaRRNets: Channel Robust Representation Networks for RF Fingerprinting—0
GTA: Guided Transfer of Spatial Attention from Object-Centric Representations—0
Fast-ParC: Capturing Position Aware Global Feature for ConvNets and ViTs—0
Conditional Mutual Information-Based Generalization Bound for Meta Learning—0
Entangled Residual Mappings—0
Characterising the Inductive Biases of Neural Networks on Boolean Data—0
4DGT: Learning a 4D Gaussian Transformer Using Real-World Monocular Videos—0
Feature-Wise Bias Amplification—0
Feed-Forward Neural Networks Need Inductive Bias to Learn Equality Relations—0
FETA: Fairness Enforced Verifying, Training, and Predicting Algorithms for Neural Networks—0
SENet: A Spectral Filtering Approach to Represent Exemplars for Few-shot Learning—0
Enhancing Performance of Vision Transformers on Small Datasets through Local Inductive Bias Incorporation—0
Few-shot Learning via Dependency Maximization and Instance Discriminant Analysis—0
Enhancing Image Restoration Transformer via Adaptive Translation Equivariance—0
G-RepsNet: A Fast and General Construction of Equivariant Networks for Arbitrary Matrix Groups—0
Enhancing Dynamic CT Image Reconstruction with Neural Fields and Optical Flow—0
CFASL: Composite Factor-Aligned Symmetry Learning for Disentanglement in Variational AutoEncoder—0
A Relational Model for One-Shot Classification—0
Grassmann Manifold Flows for Stable Shape Generation—0
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