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spectral analysis

239 papers

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Co-occurring keywords

graph neural network (3962) representation learning (6206) spectral method (204) kernel methods (1097) neural network (6616) hyperspectral imaging (82) graph laplacian (109) frequency domain (267) acoustic analysis (182) image restoration (1517)

Papers

A Spectral Analysis of Dot-product Kernels AISTATS 2021
Diverse Message Passing for Attribute with Heterophily NIPS 2021
Offline detection of change-points in the mean for stationary graph signals. AISTATS 2021
Efficient Deformable Shape Correspondence via Multiscale Spectral Manifold Wavelets Preservation CVPR 2021
Unifying Nonlocal Blocks for Neural Networks ICCV 2021
Directed Spectrum Measures Improve Latent Network Models Of Neural Populations NIPS 2021
Analysis of one-hidden-layer neural networks via the resolvent method NIPS 2021
Improved Guarantees and a Multiple-descent Curve for Column Subset Selection and the Nystrom Method (Extended Abstract) IJCAI 2021
Hessian Eigenspectra of More Realistic Nonlinear Models NIPS 2021
Not All Low-Pass Filters are Robust in Graph Convolutional Networks NIPS 2021
MR-GCN: Multi-Relational Graph Convolutional Networks based on Generalized Tensor Product IJCAI 2020
On the Robustness and Training Dynamics of Raw Waveform Models INTERSPEECH 2020
A Comparative Re-Assessment of Feature Extractors for Deep Speaker Embeddings INTERSPEECH 2020
Voicing Distinction of Obstruents in the Hangzhou Wu Chinese Dialect INTERSPEECH 2020
The Secret is in the Spectra: Predicting Cross-lingual Task Performance with Spectral Similarity Measures EMNLP 2020
Learning in the Frequency Domain CVPR 2020
Accelerating Smooth Games by Manipulating Spectral Shapes AISTATS 2020
Precise expressions for random projections: Low-rank approximation and randomized Newton NIPS 2020
Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting NIPS 2020
Convergence and Stability of Graph Convolutional Networks on Large Random Graphs NIPS 2020
Cloth in the Wind: A Case Study of Physical Measurement Through Simulation CVPR 2020
Select to Better Learn: Fast and Accurate Deep Learning Using Data Selection From Nonlinear Manifolds CVPR 2020
On the Distribution of Minima in Intrinsic-Metric Rotation Averaging CVPR 2020
Global Optimality for Point Set Registration Using Semidefinite Programming CVPR 2020
Spectral Pruning: Compressing Deep Neural Networks via Spectral Analysis and its Generalization Error IJCAI 2020