conftrace_

low-rank approximation

323 papers

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Also known as

LORA

Co-occurring keywords

model compression (3302) matrix factorization (529) matrix completion (356) tensor decomposition (375) singular value decomposition (222) matrix approximation (89) dimensionality reduction (720) tensor completion (64) kernel methods (1097) convex optimization (1321)

Papers

Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance ICML 2020
Approximate Cross-Validation with Low-Rank Data in High Dimensions NIPS 2020
Compact Autoregressive Network AAAI 2020
Compressed Self-Attention for Deep Metric Learning with Low-Rank Approximation IJCAI 2020
Practical Low-Rank Communication Compression in Decentralized Deep Learning NIPS 2020
Improving One-Class Collaborative Filtering via Ranking-Based Implicit Regularizer AAAI 2019
Optimal Analysis of Subset-Selection Based L_p Low-Rank Approximation NIPS 2019
Learning-Based Low-Rank Approximations NIPS 2019
Scalable Learning in Reproducing Kernel Krein Spaces ICML 2019
Non-Local Meets Global: An Integrated Paradigm for Hyperspectral Denoising CVPR 2019
Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret COLT 2019
Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition AAAI 2019
RaFM: Rank-Aware Factorization Machines ICML 2019
Low-Rank Approximations of Second-Order Document Representations CONLL 2019
Outlier-Robust Multi-Aspect Streaming Tensor Completion and Factorization IJCAI 2019
Towards a Zero-One Law for Column Subset Selection NIPS 2019
Model-free Nonconvex Matrix Completion: Local Minima Analysis and Applications in Memory-efficient Kernel PCA JMLR 2019
High-dimensional multivariate forecasting with low-rank Gaussian Copula Processes NIPS 2019
Geometric Understanding for Unsupervised Subspace Learning IJCAI 2019
Relative Error Bound Analysis for Nuclear Norm Regularized Matrix Completion JMLR 2019
Scalable Kernel K-Means Clustering with Nystrom Approximation: Relative-Error Bounds JMLR 2019
Optimal Sketching for Kronecker Product Regression and Low Rank Approximation NIPS 2019
Online High Rank Matrix Completion CVPR 2019
Spatial Aggregation Facilitates Discovery of Spatial Topics ACL 2019
PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization NIPS 2019