singular vector

Beyond Soft Label: Dataset Distillation via Orthogonal Gradient Matching CVPR 2026 Data-Free Universal Attack by Exploiting the Intrinsic Vulnerability of Deep Models AAAI 2025 Improve Safety Training of Large Language Models with Safety-Critical Singular Vectors Localization ACL 2025 Learning-Augmented Frequent Directions ICLR 2025 Label Alignment Regularization for Distribution Shift JMLR 2024 Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits and Optimal Spectral Methods NeurIPS 2024 Smooth Lower Bounds for Differentially Private Algorithms via Padding-and-Permuting Fingerprinting Codes COLT 2024 Enhancing Cross-Category Learning in Recommendation Systems with Multi-Layer Embedding Training ACML 2023 Generalized Leverage Scores: Geometric Interpretation and Applications ICML 2022 Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors ICML 2022 Additive Error Guarantees for Weighted Low Rank Approximation ICML 2021 A unifying view on implicit bias in training linear neural networks ICLR 2021 Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces CVPR 2021 Spectral Algorithms for Community Detection in Directed Networks JMLR 2020 Unique Properties of Flat Minima in Deep Networks ICML 2020 State Aggregation Learning from Markov Transition Data NeurIPS 2019 Art of Singular Vectors and Universal Adversarial Perturbations CVPR 2018 Provable Tensor Factorization with Missing Data NeurIPS 2014 Rank-One Matrix Pursuit for Matrix Completion ICML 2014 The Noisy Power Method: A Meta Algorithm with Applications NeurIPS 2014