dimensionality reduction

On UMAP's True Loss Function NeurIPS 2021 Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces CVPR 2021 Principal Bit Analysis: Autoencoding with Schur-Concave Loss ICML 2021 Product Manifold Learning AISTATS 2021 ProsoBeast Prosody Annotation Tool Interspeech 2021 Quantitative Understanding of VAE as a Non-linearly Scaled Isometric Embedding ICML 2021 Quantization Algorithms for Random Fourier Features ICML 2021 Randomized Dimensionality Reduction for Facility Location and Single-Linkage Clustering ICML 2021 Self-Paced Two-dimensional PCA AAAI 2021 Sliced Mutual Information: A Scalable Measure of Statistical Dependence NeurIPS 2021 Subspace Clustering through Sub-Clusters JMLR 2021 Subspace Embeddings under Nonlinear Transformations ALT 2021 Unfolding-Model-Based Visualization: Theory, Method and Applications JMLR 2021 Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification ICML 2021 2-MAP: Aligned Visualizations for Comparison of High-Dimensional Point Sets WACV 2020 A Bias Trick for Centered Robust Principal Component Analysis (Student Abstract) AAAI 2020 Adapting Text Embeddings for Causal Inference UAI 2020 Adaptive Two-Dimensional Embedded Image Clustering AAAI 2020 A determinantal point process for column subset selection JMLR 2020 A Greedy Anytime Algorithm for Sparse PCA COLT 2020 BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders AISTATS 2020 CARP: Compression Through Adaptive Recursive Partitioning for Multi-Dimensional Images CVPR 2020 CMCE at SemEval-2020 Task 1: Clustering on Manifolds of Contextualized Embeddings to Detect Historical Meaning Shifts SemEval 2020 Deep reconstruction of strange attractors from time series NeurIPS 2020 DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality Reduction IJCAI 2020