conftrace_

rank reduction

4 papers

Explore in graph

Co-occurring keywords · papers mentioning both

low-rank feature (1) feature rank (1) kernel sampling (1) lift (1) magnitude-based sparse fine-tuning (1) principal weights (1) generalization improvement (1) adjacency tensor (1) multi-relational learning (1) feature pruning (1)

Papers

LIFT the Veil for the Truth: Principal Weights Emerge after Rank Reduction for Reasoning-Focused Supervised Fine-Tuning ICML 2025 Sharpness-Aware Minimization Leads to Low-Rank Features NeurIPS 2023 Adaptive Online Kernel Sampling for Vertex Classification AISTATS 2020 Reducing the Rank in Relational Factorization Models by Including Observable Patterns NeurIPS 2014