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Inductive Bias

Papers

Showing 101150 of 1529 papers

TitleStatusHype
Topology-Informed Graph TransformerCode1
Convolutional Initialization for Data-Efficient Vision TransformersCode1
Exploring Diffusion Time-steps for Unsupervised Representation LearningCode1
Boosting Image Quality Assessment through Efficient Transformer Adaptation with Local Feature EnhancementCode1
Transformer-based No-Reference Image Quality Assessment via Supervised Contrastive LearningCode1
TimeDRL: Disentangled Representation Learning for Multivariate Time-SeriesCode1
Energy-based Potential Games for Joint Motion Forecasting and ControlCode1
ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal ImputationCode1
MobileUtr: Revisiting the relationship between light-weight CNN and Transformer for efficient medical image segmentationCode1
Recurrent Distance Filtering for Graph Representation LearningCode1
Language Embedded 3D Gaussians for Open-Vocabulary Scene UnderstandingCode1
LPFormer: An Adaptive Graph Transformer for Link PredictionCode1
GENOT: Entropic (Gromov) Wasserstein Flow Matching with Applications to Single-Cell GenomicsCode1
TANGO: Time-Reversal Latent GraphODE for Multi-Agent Dynamical SystemsCode1
EViT: An Eagle Vision Transformer with Bi-Fovea Self-AttentionCode1
How Graph Neural Networks Learn: Lessons from Training DynamicsCode1
xVal: A Continuous Numerical Tokenization for Scientific Language ModelsCode1
Iterative Superquadric Recomposition of 3D Objects from Multiple ViewsCode1
The Local Learning Coefficient: A Singularity-Aware Complexity MeasureCode1
E(3)-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement LearningCode1
CMUNeXt: An Efficient Medical Image Segmentation Network based on Large Kernel and Skip FusionCode1
Fitting Auditory Filterbanks with Multiresolution Neural NetworksCode1
Optimizing PatchCore for Few/many-shot Anomaly DetectionCode1
Cumulative Spatial Knowledge Distillation for Vision TransformersCode1
WaveMixSR: A Resource-efficient Neural Network for Image Super-resolutionCode1
Scaling MLPs: A Tale of Inductive BiasCode1
ProtoGate: Prototype-based Neural Networks with Global-to-local Feature Selection for Tabular Biomedical DataCode1
FDNet: Focal Decomposed Network for Efficient, Robust and Practical Time Series ForecastingCode1
On the Efficacy of 3D Point Cloud Reinforcement LearningCode1
2-D SSM: A General Spatial Layer for Visual TransformersCode1
On Robot Grasp Learning Using Equivariant ModelsCode1
Feature Programming for Multivariate Time Series PredictionCode1
Lottery Tickets in Evolutionary Optimization: On Sparse Backpropagation-Free TrainabilityCode1
Disentanglement via Latent QuantizationCode1
LowDINO -- A Low Parameter Self Supervised Learning ModelCode1
Graph Inductive Biases in Transformers without Message PassingCode1
Emergent Representations of Program Semantics in Language Models Trained on ProgramsCode1
MaxViT-UNet: Multi-Axis Attention for Medical Image SegmentationCode1
DRew: Dynamically Rewired Message Passing with DelayCode1
Towards Capturing the Temporal Dynamics for Trajectory Prediction: a Coarse-to-Fine ApproachCode1
Summarizing Multiple Documents with Conversational Structure for Meta-Review GenerationCode1
Exploiting Inductive Bias in Transformer for Point Cloud Classification and SegmentationCode1
Latent Traversals in Generative Models as Potential FlowsCode1
Sample-efficient Model-based Reinforcement Learning for Quantum ControlCode1
Slide-Transformer: Hierarchical Vision Transformer with Local Self-AttentionCode1
Interpretable statistical representations of neural population dynamics and geometryCode1
Abstractors and relational cross-attention: An inductive bias for explicit relational reasoning in TransformersCode1
Multifactor Sequential Disentanglement via Structured Koopman AutoencodersCode1
Filter-informed Spectral Graph Wavelet Networks for Multiscale Feature Extraction and Intelligent Fault DiagnosisCode1
Supervised Masked Knowledge Distillation for Few-Shot TransformersCode1
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