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Inductive Bias

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Showing 501–550 of 1529 papers

TitleStatusHype
Robustness of Graph Classification: failure modes, causes, and noise-resistant loss in Graph Neural Networks—0
3D-Consistent Image Inpainting with Diffusion Models—0
Learning Symmetries via Weight-Sharing with Doubly Stochastic TensorsCode0
Towards Zero-shot 3D Anomaly Localization—0
GQWformer: A Quantum-based Transformer for Graph Representation Learning—0
INSIGHT: Explainable Weakly-Supervised Medical Image Analysis—0
RandAR: Decoder-only Autoregressive Visual Generation in Random Orders—0
Multi-task CNN Behavioral Embedding Model For Transaction Fraud Detection—0
Trajectory Attention for Fine-grained Video Motion Control—0
Sneaking Syntax into Transformer Language Models with Tree Regularization—0
Double Descent in Portfolio Optimization: Dance between Theoretical Sharpe Ratio and Estimation Accuracy—0
Object-centric proto-symbolic behavioural reasoning from pixelsCode0
CARE Transformer: Mobile-Friendly Linear Visual Transformer via Decoupled Dual Interaction—0
PriorDiffusion: Leverage Language Prior in Diffusion Models for Monocular Depth Estimation—0
Faithful Label-free Knowledge DistillationCode0
On Generalization Bounds for Neural Networks with Low Rank Layers—0
STREAM: A Universal State-Space Model for Sparse Geometric Data—0
ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling—0
Partitioning Message Passing for Graph Fraud Detection—0
Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data—0
MambaXCTrack: Mamba-based Tracker with SSM Cross-correlation and Motion Prompt for Ultrasound Needle Tracking—0
Bayesian Comparisons Between Representations—0
SE(3) Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation—0
Scaling Laws for Task-Optimized Models of the Primate Visual Ventral StreamCode0
Handling geometrical variability in nonlinear reduced order modeling through Continuous Geometry-Aware DL-ROMs—0
UEVAVD: A Dataset for Developing UAV's Eye View Active Object DetectionCode0
Impact of Label Noise on Learning Complex Features—0
Graph neural networks and non-commuting operatorsCode0
Interpretable Predictive Models for Healthcare via Rational Logistic Regression—0
Context-Aware Testing: A New Paradigm for Model Testing with Large Language ModelsCode0
Disentangling Disentangled Representations: Towards Improved Latent Units via Diffusion Models—0
Addressing Issues with Working Memory in Video Object Segmentation—0
On Inductive Biases That Enable Generalization of Diffusion TransformersCode0
Training the Untrainable: Introducing Inductive Bias via Representational Alignment—0
Interleaving Text and Number Embeddings to Solve Mathemathics Problems—0
Analyzing Generative Models by Manifold Entropic Metrics—0
A Riemannian Framework for Learning Reduced-order Lagrangian Dynamics—0
SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions—0
Relaxed Equivariance via Multitask Learning—0
Identifiable Representation and Model Learning for Latent Dynamic Systems—0
LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias—0
EPContrast: Effective Point-level Contrastive Learning for Large-scale Point Cloud Understanding—0
Interchangeable Token Embeddings for Extendable Vocabulary and Alpha-Equivalence—0
Habaek: High-performance water segmentation through dataset expansion and inductive bias optimizationCode0
FDF: Flexible Decoupled Framework for Time Series Forecasting with Conditional Denoising and Polynomial ModelingCode0
Balancing Label Quantity and Quality for Scalable ElicitationCode0
Self-Supervised Learning of Disentangled Representations for Multivariate Time-Series—0
Deep Linear Probe Generators for Weight Space Learning—0
Boltzmann-Aligned Inverse Folding Model as a Predictor of Mutational Effects on Protein-Protein Interactions—0
Power-Softmax: Towards Secure LLM Inference over Encrypted Data—0
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