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Inductive Bias

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TitleStatusHype
Scaling Laws for Task-Optimized Models of the Primate Visual Ventral StreamCode0
Impact of Label Noise on Learning Complex Features—0
UEVAVD: A Dataset for Developing UAV's Eye View Active Object DetectionCode0
DiMSUM: Diffusion Mamba -- A Scalable and Unified Spatial-Frequency Method for Image GenerationCode1
Graph neural networks and non-commuting operatorsCode0
Interpretable Predictive Models for Healthcare via Rational Logistic Regression—0
Learning General-Purpose Biomedical Volume Representations using Randomized SynthesisCode2
Regress, Don't Guess -- A Regression-like Loss on Number Tokens for Language ModelsCode1
Understanding Generalizability of Diffusion Models Requires Rethinking the Hidden Gaussian StructureCode1
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
Interchangeable Token Embeddings for Extendable Vocabulary and Alpha-Equivalence—0
EPContrast: Effective Point-level Contrastive Learning for Large-scale Point Cloud Understanding—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
Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model DisentanglementCode2
When Does Perceptual Alignment Benefit Vision Representations?Code4
Deep Linear Probe Generators for Weight Space Learning—0
Interpolated-MLPs: Controllable Inductive Bias—0
Power-Softmax: Towards Secure LLM Inference over Encrypted Data—0
Boltzmann-Aligned Inverse Folding Model as a Predictor of Mutational Effects on Protein-Protein Interactions—0
Low-Dimension-to-High-Dimension Generalization And Its Implications for Length Generalization—0
Can Looped Transformers Learn to Implement Multi-step Gradient Descent for In-context Learning?—0
Masked Generative Priors Improve World Models Sequence Modelling Capabilities—0
Physics-Informed Regularization for Domain-Agnostic Dynamical System ModelingCode1
Unitary convolutions for learning on graphs and groupsCode0
Failure-Proof Non-Contrastive Self-Supervised Learning—0
Symmetry From Scratch: Group Equivariance as a Supervised Learning Task—0
Linear Transformer Topological Masking with Graph Random Features—0
HRVMamba: High-Resolution Visual State Space Model for Dense PredictionCode0
Latent Action Priors for Locomotion with Deep Reinforcement Learning—0
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups—0
Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance—0
Asymmetry of the Relative Entropy in the Regularization of Empirical Risk Minimization—0
Equivariant score-based generative models provably learn distributions with symmetries efficiently—0
Boosting the Capabilities of Compact Models in Low-Data Contexts with Large Language Models and Retrieval-Augmented Generation—0
On the Inductive Bias of Stacking Towards Improving Reasoning—0
Sequencing the Neurome: Towards Scalable Exact Parameter Reconstruction of Black-Box Neural Networks—0
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