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Inductive Bias

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Showing 301350 of 1529 papers

TitleStatusHype
EViT: An Eagle Vision Transformer with Bi-Fovea Self-AttentionCode1
Emergent Representations of Program Semantics in Language Models Trained on ProgramsCode1
Learning Visible Connectivity Dynamics for Cloth SmoothingCode1
Dual Progressive Transformations for Weakly Supervised Semantic SegmentationCode1
Learning the geometry of wave-based imagingCode1
Deep Random Features for Scalable Interpolation of Spatiotemporal DataCode1
Exploiting Inductive Bias in Transformer for Point Cloud Classification and SegmentationCode1
Explanation-based Weakly-supervised Learning of Visual Relations with Graph NetworksCode1
Convolutional Bypasses Are Better Vision Transformer AdaptersCode1
Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Stochastic ApproachCode1
Discovering Dynamic Salient Regions for Spatio-Temporal Graph Neural NetworksCode1
Exploring End-to-End Differentiable Natural Logic ModelingCode1
DeiT-LT Distillation Strikes Back for Vision Transformer Training on Long-Tailed DatasetsCode1
Exploring Diffusion Time-steps for Unsupervised Representation LearningCode1
Fast Interpretable Greedy-Tree SumsCode1
MTSCI: A Conditional Diffusion Model for Multivariate Time Series Consistent ImputationCode1
Learning to Encode Position for Transformer with Continuous Dynamical ModelCode1
NeRF-GAN Distillation for Efficient 3D-Aware Generation with ConvolutionsCode1
Learning where to learn: Gradient sparsity in meta and continual learningCode1
Feature Programming for Multivariate Time Series PredictionCode1
FViT: A Focal Vision Transformer with Gabor FilterCode1
Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small DatasetsCode1
An Inductive Bias for Distances: Neural Nets that Respect the Triangle InequalityCode1
FIGARO: Generating Symbolic Music with Fine-Grained Artistic ControlCode1
Fine-grained style control in Transformer-based Text-to-speech SynthesisCode1
Filter-informed Spectral Graph Wavelet Networks for Multiscale Feature Extraction and Intelligent Fault DiagnosisCode1
DMAP: a Distributed Morphological Attention Policy for Learning to Locomote with a Changing BodyCode1
Distribution inference risks: Identifying and mitigating sources of leakageCode1
ALMA: Hierarchical Learning for Composite Multi-Agent TasksCode1
Fitting Auditory Filterbanks with Multiresolution Neural NetworksCode1
Learning Neural Hamiltonian Dynamics: A Methodological OverviewCode1
Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular DomainsCode1
From Learning to Meta-Learning: Reduced Training Overhead and Complexity for Communication SystemsCode1
DiMSUM: Diffusion Mamba -- A Scalable and Unified Spatial-Frequency Method for Image GenerationCode1
An Investigation of Why Overparameterization Exacerbates Spurious CorrelationsCode1
Directed Acyclic Graph Neural NetworksCode1
Distinguish Confusion in Legal Judgment Prediction via Revised Relation KnowledgeCode1
Generalization and Robustness Implications in Object-Centric LearningCode1
Discovering and Explaining the Representation Bottleneck of Graph Neural Networks from Multi-order InteractionsCode1
Attention is Not All You Need: Pure Attention Loses Rank Doubly Exponentially with DepthCode1
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous DataCode1
On the Efficacy of 3D Point Cloud Reinforcement LearningCode1
DRew: Dynamically Rewired Message Passing with DelayCode1
Generative Adversarial Symmetry DiscoveryCode1
Test-time Adaptation with Slot-Centric ModelsCode1
OW-DETR: Open-world Detection TransformerCode1
AO2-DETR: Arbitrary-Oriented Object Detection TransformerCode1
GENOT: Entropic (Gromov) Wasserstein Flow Matching with Applications to Single-Cell GenomicsCode1
Contrastive Syn-to-Real GeneralizationCode1
Contrastive Prototypical Network with Wasserstein Confidence PenaltyCode1
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