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Regularization

77 papers

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Papers

Regularization on Spatio-Temporally Smoothed Feature for Action Recognition CVPR 2020
Regularizing CNN Transfer Learning With Randomised Regression CVPR 2020
MixUp as Locally Linear Out-of-Manifold Regularization AAAI 2019
Guided Dropout AAAI 2019
Weighted Channel Dropout for Regularization of Deep Convolutional Neural Network AAAI 2019
Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization ACL 2019
P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification CVPR 2019
Learning Not to Learn: Training Deep Neural Networks With Biased Data CVPR 2019
Robustness via Curvature Regularization, and Vice Versa CVPR 2019
Tangent-Normal Adversarial Regularization for Semi-Supervised Learning CVPR 2019
A Logic-Driven Framework for Consistency of Neural Models EMNLP 2019
Learning towards Minimum Hyperspherical Energy NIPS 2018
Supervised autoencoders: Improving generalization performance with unsupervised regularizers NIPS 2018
Regularization Learning Networks: Deep Learning for Tabular Datasets NIPS 2018
Can We Gain More from Orthogonality Regularizations in Training Deep Networks? NIPS 2018
Removing the Feature Correlation Effect of Multiplicative Noise NIPS 2018
LDMNet: Low Dimensional Manifold Regularized Neural Networks CVPR 2018
Improving Neural Language Models with Weight Norm Initialization and Regularization EMNLP 2018
S3Pool: Pooling With Stochastic Spatial Sampling CVPR 2017
Noisy Softmax: Improving the Generalization Ability of DCNN via Postponing the Early Softmax Saturation CVPR 2017
All You Need Is Beyond a Good Init: Exploring Better Solution for Training Extremely Deep Convolutional Neural Networks With Orthonormality and Modulation CVPR 2017
Regularization techniques for fine-tuning in neural machine translation EMNLP 2017
Improved Dropout for Shallow and Deep Learning NIPS 2016
DisturbLabel: Regularizing CNN on the Loss Layer CVPR 2016
Less is More: Nyström Computational Regularization NIPS 2015