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dimensionality reduction

720 papers

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Also known as

SDR PCA DR

Co-occurring keywords

manifold learning (402) principal component analysis (316) feature extraction (1578) random projection (145) unsupervised learning (3255) representation learning (6174) kernel methods (1096) metric learning (1189) feature selection (649) matrix factorization (529)

Papers

Analysis of Self-Supervised Learning and Dimensionality Reduction Methods in Clustering-Based Active Learning for Speech Emotion Recognition INTERSPEECH 2022
SpaceMAP: Visualizing High-Dimensional Data by Space Expansion ICML 2022
Knowledge Base Index Compression via Dimensionality and Precision Reduction ACL 2022
Neural Fisher Discriminant Analysis: Optimal Neural Network Embeddings in Polynomial Time ICML 2022
Learning Contrastive Embedding in Low-Dimensional Space NIPS 2022
DP-PCA: Statistically Optimal and Differentially Private PCA NIPS 2022
Bounds on Causal Effects and Application to High Dimensional Data AAAI 2022
Nested Hyperbolic Spaces for Dimensionality Reduction and Hyperbolic NN Design CVPR 2022
UAEM-ITAM at SemEval-2022 Task 5: Vision-Language Approach to Recognize Misogynous Content in Memes NAACL 2022
Approximate Euclidean lengths and distances beyond Johnson-Lindenstrauss NIPS 2022
Multi-Dimensional, Nuanced and Subjective - Measuring the Perception of Facial Expressions CVPR 2022
Fast and Efficient MMD-Based Fair PCA via Optimization over Stiefel Manifold AAAI 2022
On the Robustness of CountSketch to Adaptive Inputs ICML 2022
CCA: An ML Pipeline for Cloud Anomaly Troubleshooting AAAI 2022
Extracting computational mechanisms from neural data using low-rank RNNs NIPS 2022
CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data CVPR 2022
The Curse Revisited: When are Distances Informative for the Ground Truth in Noisy High-Dimensional Data? AISTATS 2022
Noisy L0-sparse subspace clustering on dimensionality reduced data UAI 2022
Partial Multi-Label Learning via Large Margin Nearest Neighbour Embeddings AAAI 2022
Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel (Extended Abstract) IJCAI 2022
Neural PCA for Flow-Based Representation Learning IJCAI 2022
Generalised GPLVM with Stochastic Variational Inference AISTATS 2022
Learning Canonical F-Correlation Projection for Compact Multiview Representation CVPR 2022
Robust Graph-Based Multi-View Clustering AAAI 2022
Solving Large-Scale Sparse PCA to Certifiable (Near) Optimality JMLR 2022