low-rank decomposition

DRONE: Data-aware Low-rank Compression for Large NLP Models NeurIPS 2021 PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators NeurIPS 2021 Robust principal component analysis for generalized multi-view models UAI 2021 Efficient Domain Generalization via Common-Specific Low-Rank Decomposition ICML 2020 Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression CVPR 2020 Partial Trace Regression and Low-Rank Kraus Decomposition ICML 2020 A Nonconvex Projection Method for Robust PCA AAAI 2019 Moving Object Detection Under Discontinuous Change in Illumination Using Tensor Low-Rank and Invariant Sparse Decomposition CVPR 2019 Partial Multi-Label Learning by Low-Rank and Sparse Decomposition AAAI 2019 Robust Principal Component Analysis-Based Infrared Small Target Detection AAAI 2019 From Ensemble Clustering to Multi-View Clustering IJCAI 2017 Kernel Square-Loss Exemplar Machines for Image Retrieval CVPR 2017 Multi-output Polynomial Networks and Factorization Machines NeurIPS 2017 On Compressing Deep Models by Low Rank and Sparse Decomposition CVPR 2017 A Network That Learns Strassen Multiplication JMLR 2016 Low-Rank Doubly Stochastic Matrix Decomposition for Cluster Analysis JMLR 2016 Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization CVPR 2016 A Supervised Low-Rank Method for Learning Invariant Subspaces ICCV 2015 Efficient SDP Inference for Fully-Connected CRFs Based on Low-Rank Decomposition CVPR 2015 SOLD: Sub-Optimal Low-rank Decomposition for Efficient Video Segmentation CVPR 2015 Sparse and Low-Rank Tensor Decomposition NeurIPS 2015 Provable Tensor Factorization with Missing Data NeurIPS 2014 Scalable Bayesian Low-Rank Decomposition of Incomplete Multiway Tensors ICML 2014 Robust Low Rank Kernel Embeddings of Multivariate Distributions NeurIPS 2013 Speeding up Permutation Testing in Neuroimaging NeurIPS 2013