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matrix factorization

529 papers

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Also known as

MF

Co-occurring keywords

collaborative filtering (298) recommender system (529) low-rank approximation (322) matrix completion (356) dimensionality reduction (720) gradient descent (1143) model compression (3283) bayesian inference (1904) representation learning (6174) singular value decomposition (216)

Papers

Cross-view Anchor Graph Learning and Factorization for Incomplete Multi-view Clustering AAAI 2026
Fidelity-Aware Recommendation Explanations via Stochastic Path Integration AAAI 2026
Revisiting Contrastive Learning in Collaborative Filtering via Parallel Graph Filters AAAI 2026
NLoRA: Nyström-Initiated Low-Rank Adaptation for Large Language Models EMNLP 2025
HEAL: Hierarchical Embedding Alignment Loss for Improved Retrieval and Representation Learning NAACL 2025
Intra-view and Inter-view Correlation Guided Multi-view Novel Class Discovery ICCV 2025
Parameter-Efficient Fine-Tuning via Circular Convolution ACL 2025
Dynamic Anchor-based Ensemble Clustering via Hypergraph Reconstruction IJCAI 2025
SMMF: Square-Matricized Momentum Factorization for Memory-Efficient Optimization AAAI 2025
Representation Space Augmentation for Effective Self-Supervised Learning on Tabular Data AAAI 2025
Two Sparse Matrices are Better than One: Sparsifying Neural Networks with Double Sparse Factorization ICLR 2025
Federated Binary Matrix Factorization Using Proximal Optimization AAAI 2025
ESPACE: Dimensionality Reduction of Activations for Model Compression NIPS 2024
Efficient Low-Dimensional Compression of Overparameterized Models AISTATS 2024
Low-Rank Prune-And-Factorize for Language Model Compression COLING 2024
Efficient Federated Multi-View Clustering with Integrated Matrix Factorization and K-Means IJCAI 2024
Accelerating Nuclear-norm Regularized Low-rank Matrix Optimization Through Burer-Monteiro Decomposition JMLR 2024
Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language Learning NAACL 2024
SGD vs GD: Rank Deficiency in Linear Networks NIPS 2024
Structured Unrestricted-Rank Matrices for Parameter Efficient Finetuning NIPS 2024
The Loss Landscape of Deep Linear Neural Networks: a Second-order Analysis JMLR 2024
Sample-Efficient Geometry Reconstruction from Euclidean Distances using Non-Convex Optimization NIPS 2024
Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components JMLR 2024
Training a Tucker Model With Shared Factors: a Riemannian Optimization Approach AISTATS 2024
Banded Square Root Matrix Factorization for Differentially Private Model Training NIPS 2024