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Inductive Bias

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Showing 351–400 of 1529 papers

TitleStatusHype
EViT: An Eagle Vision Transformer with Bi-Fovea Self-AttentionCode1
Evolving Modular Soft Robots without Explicit Inter-Module Communication using Local Self-AttentionCode1
Distinguish Confusion in Legal Judgment Prediction via Revised Relation KnowledgeCode1
Contrastive Prototypical Network with Wasserstein Confidence PenaltyCode1
Distribution inference risks: Identifying and mitigating sources of leakageCode1
Physics-driven machine learning models coupling PyTorch and FiredrakeCode1
PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in ClusteringCode1
Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud UnderstandingCode1
DMAP: a Distributed Morphological Attention Policy for Learning to Locomote with a Changing BodyCode1
Boosting Image Quality Assessment through Efficient Transformer Adaptation with Local Feature EnhancementCode1
Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashingCode1
Predictive Inference with Feature Conformal PredictionCode1
ProtoGate: Prototype-based Neural Networks with Global-to-local Feature Selection for Tabular Biomedical DataCode1
Abstractors and relational cross-attention: An inductive bias for explicit relational reasoning in TransformersCode1
Pure Transformers are Powerful Graph LearnersCode1
The Local Learning Coefficient: A Singularity-Aware Complexity MeasureCode1
Approximately Equivariant Networks for Imperfectly Symmetric DynamicsCode1
Forecasting with Hyper-TreesCode1
DRew: Dynamically Rewired Message Passing with DelayCode1
Boundary-aware Transformers for Skin Lesion SegmentationCode1
Exact Hard Monotonic Attention for Character-Level TransductionCode1
Relational inductive biases, deep learning, and graph networksCode1
Generalization and Robustness Implications in Object-Centric LearningCode1
Ewald-based Long-Range Message Passing for Molecular GraphsCode1
Dual Progressive Transformations for Weakly Supervised Semantic SegmentationCode1
Structure Inducing Pre-TrainingCode1
Revisiting Heterophily For Graph Neural NetworksCode1
Graph Inductive Biases in Transformers without Message PassingCode1
Bridging the Gap Between Vision Transformers and Convolutional Neural Networks on Small DatasetsCode1
ExpBERT: Representation Engineering with Natural Language ExplanationsCode1
Dynamic Graph Learning-Neural Network for Multivariate Time Series ModelingCode1
Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic ParsingCode1
H-Transformer-1D: Fast One-Dimensional Hierarchical Attention for SequencesCode1
Masked autoencoders are effective solution to transformer data-hungryCode1
Dynamic Token Normalization Improves Vision TransformersCode1
Building powerful and equivariant graph neural networks with structural message-passingCode1
Scaling physics-informed hard constraints with mixture-of-expertsCode1
Contrastive Learning Relies More on Spatial Inductive Bias Than Supervised Learning: An Empirical Study—0
ConTraNet: A single end-to-end hybrid network for EEG-based and EMG-based human machine interfaces—0
A Theory of Natural Intelligence—0
Continuously Generalized Ordinal Regression for Linear and Deep Models—0
A Theory for Emergence of Complex Skills in Language Models—0
A lightweight Transformer-based model for fish landmark detection—0
A Theoretical Analysis of Fine-tuning with Linear Teachers—0
On Efficiently Representing Regular Languages as RNNs—0
A Bird's-Eye Tutorial of Graph Attention Architectures—0
Finding structure in logographic writing with library learning—0
Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations—0
Connecting the geometry and dynamics of many-body complex systems with message passing neural operators—0
Asymmetry of the Relative Entropy in the Regularization of Empirical Risk Minimization—0
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