manifold learning

A General Framework for Consistent Structured Prediction with Implicit Loss Embeddings JMLR 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 Diffusion Variational Autoencoders IJCAI 2020 Disentangling by Subspace Diffusion NeurIPS 2020 DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion EMNLP 2020 Emergence of Separable Manifolds in Deep Language Representations ICML 2020 Expert Learning through Generalized Inverse Multiobjective Optimization: Models, Insights, and Algorithms ICML 2020 Flows for simultaneous manifold learning and density estimation NeurIPS 2020 Geometry-aware domain adaptation for unsupervised alignment of word embeddings ACL 2020 Geomstats: A Python Package for Riemannian Geometry in Machine Learning JMLR 2020 High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds NeurIPS 2020 Learning Manifold Implicitly via Explicit Heat-Kernel Learning NeurIPS 2020 Learning to Guide Random Search ICLR 2020 Manifold GPLVMs for discovering non-Euclidean latent structure in neural data NeurIPS 2020 Manifold Learning-based Word Representation Refinement Incorporating Global and Local Information COLING 2020 Manifold structure in graph embeddings NeurIPS 2020 Mining on Heterogeneous Manifolds for Zero-Shot Cross-Modal Image Retrieval AAAI 2020 MLS3RDUH: Deep Unsupervised Hashing via Manifold based Local Semantic Similarity Structure Reconstructing IJCAI 2020 Neural Manifold Ordinary Differential Equations NeurIPS 2020 Non-Euclidean Universal Approximation NeurIPS 2020 Perturbation Bounds for Procrustes, Classical Scaling, and Trilateration, with Applications to Manifold Learning JMLR 2020 Plug and Play Autoencoders for Conditional Text Generation EMNLP 2020 Representing Closed Transformation Paths in Encoded Network Latent Space AAAI 2020 Sample complexity and effective dimension for regression on manifolds NeurIPS 2020