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Inductive Bias

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Showing 701–750 of 1529 papers

TitleStatusHype
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
Hierarchical Phrase-based Sequence-to-Sequence LearningCode1
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
Relating graph auto-encoders to linear models—0
Instance-Dependent Generalization Bounds via Optimal Transport—0
When Do We Need Graph Neural Networks for Node Classification?—0
Introducing topography in convolutional neural networksCode0
IB-U-Nets: Improving medical image segmentation tasks with 3D Inductive Biased kernelsCode0
Automated analysis of diabetic retinopathy using vessel segmentation maps as inductive bias—0
Multi-Viewpoint and Multi-Evaluation with Felicitous Inductive Bias Boost Machine Abstract Reasoning AbilityCode0
TabMixer: Excavating Label Distribution Learning with Small-scale Features—0
A PAC-Bayesian Generalization Bound for Equivariant Networks—0
Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Stochastic ApproachCode1
The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection—0
Bayesian Convolutional Deep Sets with Task-Dependent Stationary Prior—0
NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data AugmentationCode0
Contrastive Prototypical Network with Wasserstein Confidence PenaltyCode1
Learning Robust Dynamics through Variational Sparse GatingCode1
Large-scale learning of generalised representations for speaker recognition—0
A Dimension-Augmented Physics-Informed Neural Network (DaPINN) with High Level Accuracy and Efficiency—0
Disentangling the Predictive Variance of Deep Ensembles through the Neural Tangent Kernel—0
Modeling Context With Linear Attention for Scalable Document-Level TranslationCode0
Frame Mining: a Free Lunch for Learning Robotic Manipulation from 3D Point CloudsCode1
Revisiting Heterophily For Graph Neural NetworksCode1
Model-Based Imitation Learning for Urban DrivingCode2
Vision Transformers provably learn spatial structure—0
Fast Estimation of Bayesian State Space Models Using Amortized Simulation-Based Inference—0
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models—0
Learning Physical Dynamics with Subequivariant Graph Neural Networks—0
S4ND: Modeling Images and Videos as Multidimensional Signals Using State Spaces—0
A Generalist Framework for Panoptic Segmentation of Images and Videos—0
Bridging the Gap Between Vision Transformers and Convolutional Neural Networks on Small DatasetsCode1
Fast-ParC: Capturing Position Aware Global Feature for ConvNets and ViTs—0
Bird-Eye Transformers for Text Generation ModelsCode3
Images as Weight Matrices: Sequential Image Generation Through Synaptic Learning RulesCode1
Small Character Models Match Large Word Models for Autocomplete Under Memory ConstraintsCode0
SimPer: Simple Self-Supervised Learning of Periodic TargetsCode1
Towards Flexible Inductive Bias via Progressive Reparameterization Scheduling—0
spred: Solving L_1 Penalty with SGDCode0
Smooth image-to-image translations with latent space interpolationsCode0
Predictive Inference with Feature Conformal PredictionCode1
Dual Progressive Transformations for Weakly Supervised Semantic SegmentationCode1
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