singular value decomposition

Fine-tuning Distributional Semantic Models for Closely-Related Languages EACL 2021 Generalized and Discriminative Few-Shot Object Detection via SVD-Dictionary Enhancement NeurIPS 2021 Gradient Projection Memory for Continual Learning ICLR 2021 Implicit SVD for Graph Representation Learning NeurIPS 2021 (Just) A Spoonful of Refinements Helps the Registration Error Go Down ICCV 2021 Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization Problems NeurIPS 2021 Low-Rank Subspaces for Unsupervised Entity Linking EMNLP 2021 Low-Rank Tensor Completion by Approximating the Tensor Average Rank ICCV 2021 Projection techniques to update the truncated SVD of evolving matrices with applications ICML 2021 Ranking and synchronization from pairwise measurements via SVD JMLR 2021 Reduced-Rank Regression with Operator Norm Error COLT 2021 Training Networks in Null Space of Feature Covariance for Continual Learning CVPR 2021 Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance Pooling? ICCV 2021 An Analysis of SVD for Deep Rotation Estimation NeurIPS 2020 Bridging Linguistic Typology and Multilingual Machine Translation with Multi-View Language Representations EMNLP 2020 Efficient Spectrum-Revealing CUR Matrix Decomposition AISTATS 2020 Error Estimation for Sketched SVD via the Bootstrap ICML 2020 Input-Sparsity Low Rank Approximation in Schatten Norm ICML 2020 Online Sufficient Dimension Reduction Through Sliced Inverse Regression JMLR 2020 On the Convergence of Stochastic Gradient Descent with Low-Rank Projections for Convex Low-Rank Matrix Problems COLT 2020 Sum-Product-Transform Networks: Exploiting Symmetries using Invertible Transformations PGM 2020 UniTuebingenCL at SemEval-2020 Task 7: Humor Detection in News Headlines SemEval 2020 What if Neural Networks had SVDs? NeurIPS 2020 Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning NeurIPS 2019 Efficient Neural Network Compression CVPR 2019