On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,657 papers · 148 categories

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3 results for “over-alignment”

Over-Alignment vs Over-Fitting: The Role of Feature Learning Strength in Generalizationcs.LG

Optimal feature learning strength improves generalization in deep networks.

problem Understanding how feature learning strength affects generalization in practical settings.

method Empirical studies and theoretical analysis of gradient flow dynamics in two-layer ReLU nets.

result Optimal feature learning strength yields substantial generalization gains, contrary to the prevailing intuition.

feature learning generalization gradient flow ReLU nets over-alignment

2026-01-31abs ↗pdf ↗

Hierarchical Contrastive Learning for Multimodal Datastat.ML

HCL learns shared and modality-specific latent representations for multimodal data.

problem Binary shared-private decomposition inadequately represents shared information across subsets of modalities.

method Hierarchical Contrastive Learning framework combining latent-variable formulation, structural sparsity, and contrastive objective.

result HCL accurately recovers hierarchical structure and improves predictive performance on multimodal data.

contrastive learning multimodal representation latent variable partial sharing electronic health records

2026-04-07abs ↗pdf ↗

Target alignment in truncated kernel ridge regressioncs.LG

TKRR improves KRR performance by aligning target functions with kernels.

problem Improving kernel ridge regression performance through target alignment.

method Focuses on truncated kernel ridge regression (TKRR) with an additional spectral truncation parameter.

result TKRR can achieve faster rates than full KRR, reaching parametric rates.

Kernel ridge regression Truncated KRR Target alignment Spectral truncation Generalization performance

2022-06-28abs ↗pdf ↗