SOTAVerified

Inductive Bias

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 451–475 of 1529 papers

TitleStatusHype
Incorporating Coupling Knowledge into Echo State Networks for Learning Spatiotemporally Chaotic DynamicsCode0
Improving Equivariant Networks with Probabilistic Symmetry Breaking—0
Towards Unified Latent Space for 3D Molecular Latent Diffusion Modeling—0
SuperBPE: Space Travel for Language Models—0
The Spectral Bias of Shallow Neural Network Learning is Shaped by the Choice of Non-linearity—0
MIRAM: Masked Image Reconstruction Across Multiple Scales for Breast Lesion Risk Prediction—0
Deep Cut-informed Graph Embedding and Clustering—0
Make Haste Slowly: A Theory of Emergent Structured Mixed Selectivity in Feature Learning ReLU Networks—0
IDInit: A Universal and Stable Initialization Method for Neural Network Training—0
EnigmaToM: Improve LLMs' Theory-of-Mind Reasoning Capabilities with Neural Knowledge Base of Entity StatesCode0
Leap: Inductive Link Prediction via Learnable TopologyAugmentationCode0
Riemann Tensor Neural Networks: Learning Conservative Systems with Physics-Constrained Networks—0
Dynamical Decoupling of Generalization and Overfitting in Large Two-Layer Networks—0
Teasing Apart Architecture and Initial Weights as Sources of Inductive Bias in Neural Networks—0
Reversal Blessing: Thinking Backward May Outpace Thinking Forward in Multi-choice Questions—0
MetaSym: A Symplectic Meta-learning Framework for Physical Intelligence—0
Network Tomography with Path-Centric Graph Neural Network—0
A Gap Between the Gaussian RKHS and Neural Networks: An Infinite-Center Asymptotic Analysis—0
Connecting the geometry and dynamics of many-body complex systems with message passing neural operators—0
Improving Value-based Process Verifier via Structural Prior Injection—0
Compress image to patches for Vision TransformerCode0
Shaping Inductive Bias in Diffusion Models through Frequency-Based Noise Control—0
Exploring the Potential of Encoder-free Architectures in 3D LMMsCode0
Powerformer: A Transformer with Weighted Causal Attention for Time-series ForecastingCode0
Data Augmentation and Regularization for Learning Group EquivarianceCode0
Show:102550
← PrevPage 19 of 62Next →

No leaderboard results yet.