Co-occurring keywords · papers mentioning both
Papers
Confusion-Aware Spectral Regularizer for Long-Tailed Recognition
CVPR 2026
Sheaf Graph Neural Networks via PAC-Bayes Spectral Optimization
AAAI 2026
Taming Generative Diffusion Model for Task-Oriented Infrared Imaging
CVPR 2026
Learning Continually by Spectral Regularization
ICLR 2025
Differentiable Weightless Neural Networks
ICML 2024
Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms
NeurIPS 2024
The good, the bad and the ugly sides of data augmentation: An implicit spectral regularization perspective
JMLR 2024
Graph Domain Adaptation via Theory-Grounded Spectral Regularization
ICLR 2023
Watch Your Up-Convolution: CNN Based Generative Deep Neural Networks Are Failing to Reproduce Spectral Distributions
CVPR 2020
Spectral Regularization for Combating Mode Collapse in GANs
ICCV 2019
Parallelizing Spectrally Regularized Kernel Algorithms
JMLR 2018
Spectral Norm Regularization of Orthonormal Representations for Graph Transduction
NeurIPS 2015
Spectral Regularization for Max-Margin Sequence Tagging
ICML 2014
Probabilistic Low-Rank Matrix Completion with Adaptive Spectral Regularization Algorithms
NeurIPS 2013
Calibrated Elastic Regularization in Matrix Completion
NeurIPS 2012
Selecting Diverse Features via Spectral Regularization
NeurIPS 2012
Linear Algorithms for Online Multitask Classification
JMLR 2010
On Spectral Learning
JMLR 2010
Spectral Regularization Algorithms for Learning Large Incomplete Matrices
JMLR 2010
Spectral Regularization for Support Estimation
NeurIPS 2010
A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization
JMLR 2009
A Spectral Regularization Framework for Multi-Task Structure Learning
NeurIPS 2007