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low-rank approximation
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
Low Permutation-rank Matrices: Structural Properties and Noisy Completion
JMLR 2019
Manifold denoising by Nonlinear Robust Principal Component Analysis
NIPS 2019
Provable Non-linear Inductive Matrix Completion
NIPS 2019
LR-GLM: High-Dimensional Bayesian Inference Using Low-Rank Data Approximations
ICML 2019
Average Case Column Subset Selection for Entrywise $\ell_1$-Norm Loss
NIPS 2019
Fast Low-rank Metric Learning for Large-scale and High-dimensional Data
NIPS 2019
Label Distribution Learning with Label Correlations via Low-Rank Approximation
IJCAI 2019
Sample-Optimal Low-Rank Approximation of Distance Matrices
COLT 2019
Cascaded Projection: End-To-End Network Compression and Acceleration
CVPR 2019
Facial Emotion Distribution Learning by Exploiting Low-Rank Label Correlations Locally
CVPR 2019
Low-Rank HOCA: Efficient High-Order Cross-Modal Attention for Video Captioning
EMNLP 2019
Low-Rank Semidefinite Programming for the MAX2SAT Problem
AAAI 2019
DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System
AAAI 2019
Low-rank passthrough neural networks
ACL 2018
Sublinear Time Low-Rank Approximation of Distance Matrices
NIPS 2018
Nonlocal Low-Rank Tensor Factor Analysis for Image Restoration
CVPR 2018
Low-Rank Riemannian Optimization on Positive Semidefinite Stochastic Matrices with Applications to Graph Clustering
ICML 2018
Towards Binary-Valued Gates for Robust LSTM Training
ICML 2018
Self-Supervised Deep Low-Rank Assignment Model for Prototype Selection
IJCAI 2018
Provably Correct Algorithms for Matrix Column Subset Selection with Selectively Sampled Data
JMLR 2018
Power-law Distribution Aware Trust Prediction
IJCAI 2018
Multi-Scale Weighted Nuclear Norm Image Restoration
CVPR 2018
FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network
NIPS 2018
GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model Shrinking
NIPS 2018
Scalable Robust Matrix Factorization with Nonconvex Loss
NIPS 2018
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