principal component analysis

Detecting Out of Distribution Samples using Class Centered Residual Energy in the Discarded PCA Subspace with Weight Alignment UAI 2026 Language Models Do Not Embed Numbers Continuously (Student Abstract) AAAI 2026 LiteGE: Lightweight Geodesic Embedding for Efficient Geodesics Computation and Non-Isometric Shape Correspondence AAAI 2026 Model Merging in the Essential Subspace CVPR 2026 On the Curse of Dimensionality in Private Sparse Covariance Estimation and PCA COLT 2026 SubspaceAD: Training-Free Few-Shot Anomaly Detection via Subspace Modeling CVPR 2026 Supervised Dynamic Dimension Reduction with Deep Neural Network AAAI 2026 VCP-Attack: Visual-Contrastive Projection for Transferable Black-Box Targeted Attacks on Large Vision-Language Models CVPR 2026 A Text is Worth Several Tokens: Text Embedding from LLMs Secretly Aligns Well with The Key Tokens ACL 2025 BSFA: Leveraging the Subspace Dichotomy to Accelerate Neural Network Training EMNLP 2025 Contrastive Functional Principal Component Analysis AAAI 2025 EigenGS Representation: From Eigenspace to Gaussian Image Space CVPR 2025 ESE: Espresso Sentence Embeddings ICLR 2025 FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis CVPR 2025 Investigating the Contextualised Word Embedding Dimensions Specified for Contextual and Temporal Semantic Changes COLING 2025 LiteASR: Efficient Automatic Speech Recognition with Low-Rank Approximation EMNLP 2025 Mind Individual Information! Principal Graph Learning for Multimedia Recommendation AAAI 2025 Olica: Efficient Structured Pruning of Large Language Models without Retraining ICML 2025 Optimal Robust Estimation under Local and Global Corruptions: Stronger Adversary and Smaller Error COLT 2025 PointOBB-v2: Towards Simpler, Faster, and Stronger Single Point Supervised Oriented Object Detection ICLR 2025 "Principal Components" Enable A New Language of Images ICCV 2025 ResQ: Mixed-Precision Quantization of Large Language Models with Low-Rank Residuals ICML 2025 Rethinking Diverse Human Preference Learning through Principal Component Analysis ACL 2025 Reviving Poor Object Segmentations in OOD Medical Images using Variational-Deep-PCA Modeling on Segmentation Maps with Sampling-Free Learning WACV 2025 Riemannian Diffusion Adaptation for Distributed Optimization on Manifolds ICML 2025