Skip to content
conftrace_

stable rank

7 papers

Explore in graph

Co-occurring keywords · papers mentioning both

neural network optimization (2) principal component (1) eigenvector computation (1) rank allocation (1) neural network (1) attention layer (1) structural risk (1) matrix calibration (1) determinant maximization (1) stress distortion (1)

Papers

Spectral Valleys and Sharp Failures in Greedy Determinant Maximization COLT 2026 Beyond Low-Rank Tuning: Model Prior-Guided Rank Allocation for Effective Transfer in Low-Data and Large-Gap Regimes. ICCV 2025 DiffRed: Dimensionality reduction guided by stable rank AISTATS 2024 Enhancing Parameter-efficient Fine-tuning with Simple Calibration Based on Stable Rank COLING 2024 Tuning Stable Rank Shrinkage: Aiming at the Overlooked Structural Risk in Fine-tuning CVPR 2024 Implicit Bias of Gradient Descent for Two-layer ReLU and Leaky ReLU Networks on Nearly-orthogonal Data NeurIPS 2023 Exploiting Numerical Sparsity for Efficient Learning : Faster Eigenvector Computation and Regression NeurIPS 2018