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Inductive Bias

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Showing 701–725 of 1529 papers

TitleStatusHype
Invariant Representation Driven Neural Classifier for Anti-QCD Jet Tagging—0
Disentangling the Predictive Variance of Deep Ensembles through the Neural Tangent Kernel—0
Learning threshold neurons via the "edge of stability"—0
DeiT-LT: Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets—0
Is forgetting less a good inductive bias for forward transfer?—0
Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?—0
Icy: A benchmark for measuring compositional inductive bias of emergent communication models—0
Is Heterophily A Real Nightmare For Graph Neural Networks Performing Node Classification?—0
Is In-Context Universality Enough? MLPs are Also Universal In-Context—0
3D-Consistent Image Inpainting with Diffusion Models—0
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection—0
Better-than-KL PAC-Bayes Bounds—0
Joint Attention for Multi-Agent Coordination and Social Learning—0
Joint Diffusion Processes as an Inductive Bias in Sheaf Neural Networks—0
JPEG Information Regularized Deep Image Prior for Denoising—0
JSover: Joint Spectrum Estimation and Multi-Material Decomposition from Single-Energy CT Projections—0
Just Add Functions: A Neural-Symbolic Language Model—0
DiSK: A Diffusion Model for Structured Knowledge—0
HyperInvariances: Amortizing Invariance Learning—0
Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies—0
Defending Backdoor Attacks on Vision Transformer via Patch Processing—0
Knowledge-Based Distant Regularization in Learning Probabilistic Models—0
DNF-Net: A Neural Architecture for Tabular Data—0
Boosting Image Recognition with Non-differentiable Constraints—0
Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach—0
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