← Keywords

manifold learning

402 papers

Explore in graph

Also known as

ML

Co-occurring keywords

dimensionality reduction (720) representation learning (6174) riemannian manifold (169) semi-supervised learning (2331) unsupervised learning (3255) metric learning (1189) generative model (2889) spectral method (204) normalizing flow (354) graph laplacian (109)

Papers

High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds NIPS 2020
SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness EMNLP 2020
A General Framework for Consistent Structured Prediction with Implicit Loss Embeddings JMLR 2020
Manifold Learning-based Word Representation Refinement Incorporating Global and Local Information COLING 2020
Learning Manifold Implicitly via Explicit Heat-Kernel Learning NIPS 2020
MLS3RDUH: Deep Unsupervised Hashing via Manifold based Local Semantic Similarity Structure Reconstructing IJCAI 2020
Emergence of Separable Manifolds in Deep Language Representations ICML 2020
A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models AISTATS 2020
CMCE at SemEval-2020 Task 1: Clustering on Manifolds of Contextualized Embeddings to Detect Historical Meaning Shifts SEMEVAL 2020
Manifold structure in graph embeddings NIPS 2020
Select to Better Learn: Fast and Accurate Deep Learning Using Data Selection From Nonlinear Manifolds CVPR 2020
Expert Learning through Generalized Inverse Multiobjective Optimization: Models, Insights, and Algorithms ICML 2020
Geometry-aware domain adaptation for unsupervised alignment of word embeddings ACL 2020
Sample complexity and effective dimension for regression on manifolds NIPS 2020
Disentangling by Subspace Diffusion NIPS 2020
Perturbation Bounds for Procrustes, Classical Scaling, and Trilateration, with Applications to Manifold Learning JMLR 2020
Mining on Heterogeneous Manifolds for Zero-Shot Cross-Modal Image Retrieval AAAI 2020
Unsupervised Domain Adaptation via Discriminative Manifold Embedding and Alignment AAAI 2020
Shape correspondence using anisotropic Chebyshev spectral CNNs CVPR 2020
SoftFlow: Probabilistic Framework for Normalizing Flow on Manifolds NIPS 2020
Representing Closed Transformation Paths in Encoded Network Latent Space AAAI 2020
Zero Shot Learning with the Isoperimetric Loss AAAI 2020
Neural Manifold Ordinary Differential Equations NIPS 2020
Plug and Play Autoencoders for Conditional Text Generation EMNLP 2020
DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion EMNLP 2020