dimensionality reduction

pyDML: A Python Library for Distance Metric Learning JMLR 2020 Randomly Projected Additive Gaussian Processes for Regression ICML 2020 Randomness Efficient Feature Hashing for Sparse Binary Data ACML 2020 Random Projections and α-Shape to Support the Kernel Design (Student Abstract) AAAI 2020 Regularizing Neural Networks via Minimizing Hyperspherical Energy CVPR 2020 Rethinking Topic Modelling: From Document-Space to Term-Space EMNLP 2020 Robust Self-Weighted Multi-View Projection Clustering AAAI 2020 Scaling up Simhash ACML 2020 Steering Distortions to Preserve Classes and Neighbors in Supervised Dimensionality Reduction NeurIPS 2020 Structured Multi-Hashing for Model Compression CVPR 2020 Taming Discrete Integration via the Boon of Dimensionality NeurIPS 2020 Tensorized Random Projections AISTATS 2020 The Maximum Separation Subspace in Sufficient Dimension Reduction with Categorical Response JMLR 2020 Tired of Topic Models? Clusters of Pretrained Word Embeddings Make for Fast and Good Topics too! EMNLP 2020 Topological Autoencoders ICML 2020 Union of Low-Rank Tensor Spaces: Clustering and Completion JMLR 2020 A Bootstrap Method for Error Estimation in Randomized Matrix Multiplication JMLR 2019 Accelerating Extreme Classification via Adaptive Feature Agglomeration IJCAI 2019 Active Manifolds: A non-linear analogue to Active Subspaces ICML 2019 A Data-Driven and Distributed Approach to Sparse Signal Representation and Recovery ICLR 2019 A framework for streamlined statistical prediction using topic models NAACL 2019 Analytical Methods for Interpretable Ultradense Word Embeddings EMNLP 2019 Analyzing Intra-Speaker and Inter-Speaker Vocal Tract Impedance Characteristics in a Low-Dimensional Feature Space Using t-SNE Interspeech 2019 An Efficient Approach to Informative Feature Extraction from Multimodal Data AAAI 2019 Bézier Simplex Fitting: Describing Pareto Fronts of´ Simplicial Problems with Small Samples in Multi-Objective Optimization AAAI 2019