dimensionality reduction

Exploring Topological Properties in Artificial Neural Networks AAAI 2025 Fast Guaranteed Tensor Recovery with Adaptive Tensor Nuclear Norm IJCAI 2025 Feature Selection for Latent Factor Models CVPR 2025 Federated t-SNE and UMAP for Distributed Data Visualization AAAI 2025 Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding CVPR 2025 Geometric Operator Learning with Optimal Transport JMLR 2025 Hard Negative Mining for Domain-Specific Retrieval in Enterprise Systems ACL 2025 How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks using Metric Node Embeddings ICLR 2025 HTMS@DravidianLangTech 2025: Fusing TF-IDF and BERT with Dimensionality Reduction for Abusive Language Detection in Tamil and Malayalam NAACL 2025 Hyperboloid GPLVM for Discovering Continuous Hierarchies via Nonparametric Estimation AISTATS 2025 I-Con: A Unifying Framework for Representation Learning ICLR 2025 IsUMap: Manifold Learning and Data Visualization Leveraging Vietoris-Rips Filtrations AAAI 2025 LDIR: Low-Dimensional Dense and Interpretable Text Embeddings with Relative Representations ACL 2025 Learning to Generate Projections for Reducing Dimensionality of Heterogeneous Linear Programming Problems ICML 2025 Mapping Hymns and Organizing Concepts in the Rigveda: Quantitatively Connecting the Vedic Suktas NAACL 2025 Neural Networks Perform Sufficient Dimension Reduction AAAI 2025 Probabilistic Geometric Principal Component Analysis with application to neural data ICLR 2025 PromotionGo at SemEval-2025 Task 11: A Feature-Centric Framework for Cross-Lingual Multi-Emotion Detection in Short Texts SemEval 2025 Randomized Dimensionality Reduction for Euclidean Maximization and Diversity Measures ICML 2025 Randomly Removing 50% of Dimensions in Text Embeddings has Minimal Impact on Retrieval and Classification Tasks EMNLP 2025 Redundancy, Isotropy, and Intrinsic Dimensionality of Prompt-based Text Embeddings ACL 2025 Reviving Poor Object Segmentations in OOD Medical Images using Variational-Deep-PCA Modeling on Segmentation Maps with Sampling-Free Learning WACV 2025 RTD-Lite: Scalable Topological Analysis for Comparing Weighted Graphs in Learning Tasks AISTATS 2025 Simulation-based Inference for High-dimensional Data using Surjective Sequential Neural Likelihood Estimation UAI 2025 SMEC:Rethinking Matryoshka Representation Learning for Retrieval Embedding Compression EMNLP 2025