spectral method

Select to Better Learn: Fast and Accurate Deep Learning Using Data Selection From Nonlinear Manifolds CVPR 2020 Sequential Transfer in Reinforcement Learning with a Generative Model ICML 2020 Shape correspondence using anisotropic Chebyshev spectral CNNs CVPR 2020 SLIP: Learning to predict in unknown dynamical systems with long-term memory NeurIPS 2020 Spectral bandits JMLR 2020 Spectral Graph Matching and Regularized Quadratic Relaxations: Algorithm and Theory ICML 2020 Spectral Methods for Ranking with Scarce Data UAI 2020 Spectral Subsampling MCMC for Stationary Time Series ICML 2020 Strongly local p-norm-cut algorithms for semi-supervised learning and local graph clustering NeurIPS 2020 WCP: Worst-Case Perturbations for Semi-Supervised Deep Learning CVPR 2020 Weighted Message Passing and Minimum Energy Flow for Heterogeneous Stochastic Block Models with Side Information JMLR 2020 A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening NeurIPS 2019 Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks NeurIPS 2019 DFNets: Spectral CNNs for Graphs with Feedback-Looped Filters NeurIPS 2019 Diffusion Improves Graph Learning NeurIPS 2019 EigenSent: Spectral sentence embeddings using higher-order Dynamic Mode Decomposition ACL 2019 HyperGCN: A New Method For Training Graph Convolutional Networks on Hypergraphs NeurIPS 2019 Neural Diffusion Distance for Image Segmentation NeurIPS 2019 Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering NeurIPS 2019 ProNE: Fast and Scalable Network Representation Learning IJCAI 2019 Random Walks on Hypergraphs with Edge-Dependent Vertex Weights ICML 2019 Robustness of Spectral Methods for Community Detection COLT 2019 Solving Interpretable Kernel Dimensionality Reduction NeurIPS 2019 Spectral Approximate Inference ICML 2019 Spectral Modification of Graphs for Improved Spectral Clustering NeurIPS 2019