Co-occurring keywords · papers mentioning both
Papers
Fourier-transform-based attribution priors improve the interpretability and stability of deep learning models for genomics
NeurIPS 2020
Neural tangent kernels, transportation mappings, and universal approximation
ICLR 2020
3D Shape Reconstruction From Images in the Frequency Domain
CVPR 2019
Efficiently Learning Fourier Sparse Set Functions
NeurIPS 2019
Image Saliency Prediction in Transformed Domain: A Deep Complex Neural Network Method
AAAI 2019
Integral Transforms from Finite Data: An Application of Gaussian Process Regression to Fourier Analysis
AISTATS 2018
Temporal Transformer Networks for Acoustic Scene Classification
Interspeech 2018
Testing for Families of Distributions via the Fourier Transform
NeurIPS 2018
Fast Fourier Color Constancy
CVPR 2017
FFTLasso: Large-Scale LASSO in the Fourier Domain
CVPR 2017
Non-Local Estimation of Speech Signal for Vowel Onset Point Detection in Varied Environments
Interspeech 2017
Optimal Learning via the Fourier Transform for Sums of Independent Integer Random Variables
COLT 2016
Burst Deblurring: Removing Camera Shake Through Fourier Burst Accumulation
CVPR 2015
Super-Resolution Off the Grid
NeurIPS 2015
Beyond Hard Negative Mining: Efficient Detector Learning via Block-Circulant Decomposition
ICCV 2013
Riffled Independence for Ranked Data
NeurIPS 2009
Inferring rankings under constrained sensing
NeurIPS 2008