principal component analysis

316 papers

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Also known as

FPCA K-PCA WPCA PCA

Co-occurring keywords

dimensionality reduction (720) outlier detection (318) representation learning (6174) streaming algorithm (131) online learning (1770) low-rank approximation (322) differential privacy (1010) feature extraction (1578) matrix factorization (529) variational inference (2069)

Papers

Tracking linguistic information in transformer-based sentence embeddings through targeted sparsification ACL 2024

Invariant subspaces and PCA in nearly matrix multiplication time NIPS 2024

On Differentially Private Subspace Estimation in a Distribution-Free Setting NIPS 2024

Evaluating Unsupervised Dimensionality Reduction Methods for Pretrained Sentence Embeddings COLING 2024

Reconstruction Weighting Principal Component Analysis with Fusion Contrastive Learning IJCAI 2024

Rethinking Decoders for Transformer-based Semantic Segmentation: A Compression Perspective NIPS 2024

The tree autoencoder model, with application to hierarchical data visualization NIPS 2024

Probing the Uniquely Identifiable Linguistic Patterns of Conversational AI Agents ACL 2024

Personalized PCA: Decoupling Shared and Unique Features JMLR 2024

Learned Transformer Position Embeddings Have a Low-Dimensional Structure ACL 2024

Representational Analysis of Binding in Language Models EMNLP 2024

Generalized Eigenvalue Problems with Generative Priors NIPS 2024

Sharp analysis of power iteration for tensor PCA JMLR 2024

Capturing the denoising effect of PCA via compression ratio NIPS 2024

Data Thinning for Convolution-Closed Distributions JMLR 2024

Oja's Algorithm for Streaming Sparse PCA NIPS 2024

Video Diffusion Models are Training-free Motion Interpreter and Controller NIPS 2024

DiffRed: Dimensionality reduction guided by stable rank AISTATS 2024

Principal Component Analysis as a Sanity Check for Bayesian Phylolinguistic Reconstruction COLING 2024

Unsupervised Blind Image Deblurring Based on Self-Enhancement CVPR 2024

Fair Representation Learning with Maximum Mean Discrepancy Distance Constraint (Student Abstract) AAAI 2024

Approximating Intersections and Differences Between Linear Statistical Shape Models Using Markov Chain Monte Carlo WACV 2024

Robust SVD Made Easy: A fast and reliable algorithm for large-scale data analysis AISTATS 2024

Disentangling Interpretable Factors with Supervised Independent Subspace Principal Component Analysis NIPS 2024

pcaGAN: Improving Posterior-Sampling cGANs via Principal Component Regularization NIPS 2024