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Inductive Bias

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Showing 901–950 of 1529 papers

TitleStatusHype
The SSL Interplay: Augmentations, Inductive Bias, and Generalization—0
An Operational Perspective to Fairness Interventions: Where and How to Intervene—0
Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers—0
Adaptive Computation with Elastic Input Sequence—0
Emergence of Maps in the Memories of Blind Navigation Agents—0
Improved machine learning algorithm for predicting ground state properties—0
Uplink Scheduling in Federated Learning: an Importance-Aware Approach via Graph Representation Learning—0
The Power of Linear Combinations: Learning with Random Convolutions—0
Feature Selection: Key to Enhance Node Classification with Graph Neural NetworksCode0
Spatial Steerability of GANs via Self-Supervision from Discriminator—0
Graphix-T5: Mixing Pre-Trained Transformers with Graph-Aware Layers for Text-to-SQL ParsingCode0
Strong inductive biases provably prevent harmless interpolationCode0
Transformers as Algorithms: Generalization and Stability in In-context LearningCode0
Faithful and Consistent Graph Neural Network Explanations with Rationale Alignment—0
Metalearning generalizable dynamics from trajectories—0
Explainability and Robustness of Deep Visual Classification Models—0
Occ^2Net: Robust Image Matching Based on 3D Occupancy Estimation for Occluded Regions—0
MAP: Towards Balanced Generalization of IID and OOD through Model-Agnostic AdaptersCode0
RIFormer: Keep Your Vision Backbone Effective but Removing Token Mixer—0
Contrastive Learning Relies More on Spatial Inductive Bias Than Supervised Learning: An Empirical Study—0
Learning Attribute and Class-Specific Representation Duet for Fine-Grained Fashion Analysis—0
Quality Diversity for Visual Pre-Training—0
Eigenvalue initialisation and regularisation for Koopman autoencoders—0
Rethinking Cooking State Recognition with Vision TransformersCode0
Harmonic (Quantum) Neural Networks—0
Learning threshold neurons via the "edge of stability"—0
Simplicity Bias Leads to Amplified Performance Disparities—0
OAMixer: Object-aware Mixing Layer for Vision TransformersCode0
Relate to Predict: Towards Task-Independent Knowledge Representations for Reinforcement Learning—0
General-Purpose In-Context Learning by Meta-Learning TransformersCode0
A K-variate Time Series Is Worth K Words: Evolution of the Vanilla Transformer Architecture for Long-term Multivariate Time Series Forecasting—0
Recognizing Object by Components with Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural NetworksCode0
Graph Convolutional Neural Networks as Parametric CoKleisli morphisms—0
Numerical evidence against advantage with quantum fidelity kernels on classical data—0
Mutual Exclusivity Training and Primitive Augmentation to Induce CompositionalityCode0
Adaptive Attention Link-based Regularization for Vision Transformers—0
Meta-Learning the Inductive Biases of Simple Neural CircuitsCode0
Word-Level Representation From Bytes For Language Modeling—0
A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms—0
Forecasting Unobserved Node States with spatio-temporal Graph Neural Networks—0
Karyotype AI for Precision OncologyCode0
R2-MLP: Round-Roll MLP for Multi-View 3D Object RecognitionCode0
Mutual Balancing in State-Object Components for Compositional Zero-Shot Learning—0
Parameter-Efficient Transformer with Hybrid Axial-Attention for Medical Image Segmentation—0
The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry—0
Cognitive Simplification Operations Improve Text SimplificationCode0
Logical Tasks for Measuring Extrapolation and Rule ComprehensionCode0
Grassmann Manifold Flows for Stable Shape Generation—0
A General Purpose Neural Architecture for Geospatial Systems—0
Spectral Regularization: an Inductive Bias for Sequence ModelingCode0
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