manifold learning

Normalized Diversification CVPR 2019 Parametric Manifold Learning of Gaussian Mixture Models IJCAI 2019 Refining Word Representations by Manifold Learning IJCAI 2019 Solving Interpretable Kernel Dimensionality Reduction NeurIPS 2019 Transferring Knowledge across Learning Processes ICLR 2019 Unsupervised Co-Learning on G-Manifolds Across Irreducible Representations NeurIPS 2019 Visualizing the PHATE of Neural Networks NeurIPS 2019 A Study of the Classification of Low-Dimensional Data with Supervised Manifold Learning JMLR 2018 Clustering is semidefinitely not that hard: Nonnegative SDP for manifold disentangling JMLR 2018 Connections with Robust PCA and the Role of Emergent Sparsity in Variational Autoencoder Models JMLR 2018 Deep Neural Nets with Interpolating Function as Output Activation NeurIPS 2018 Disconnected Manifold Learning for Generative Adversarial Networks NeurIPS 2018 Efficient, Sparse Representation of Manifold Distance Matrices for Classical Scaling CVPR 2018 Fast Spectral Ranking for Similarity Search CVPR 2018 Fitting a Putative Manifold to Noisy Data COLT 2018 Global Versus Localized Generative Adversarial Nets CVPR 2018 High-Order Tensor Regularization With Application to Attribute Ranking CVPR 2018 Learning a latent manifold of odor representations from neural responses in piriform cortex NeurIPS 2018 Manifold Learning in Quotient Spaces CVPR 2018 Manifold Structured Prediction NeurIPS 2018 Manifold-tiling Localized Receptive Fields are Optimal in Similarity-preserving Neural Networks NeurIPS 2018 Mining on Manifolds: Metric Learning Without Labels CVPR 2018 Non-Linear Temporal Subspace Representations for Activity Recognition CVPR 2018 Phone Recognition Using a Non-Linear Manifold with Broad Phone Class Dependent DNNs Interspeech 2018 SDMCH: Supervised Discrete Manifold-Embedded Cross-Modal Hashing IJCAI 2018