Regularization

Regularization techniques for fine-tuning in neural machine translation EMNLP 2017 S3Pool: Pooling With Stochastic Spatial Sampling CVPR 2017 DisturbLabel: Regularizing CNN on the Loss Layer CVPR 2016 Improved Dropout for Shallow and Deep Learning NeurIPS 2016 Learning Structured Sparsity in Deep Neural Networks NeurIPS 2016 Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning NeurIPS 2016 Split LBI: An Iterative Regularization Path with Structural Sparsity NeurIPS 2016 BinaryConnect: Training Deep Neural Networks with binary weights during propagations NeurIPS 2015 Learning with Incremental Iterative Regularization NeurIPS 2015 Less is More: Nyström Computational Regularization NeurIPS 2015 Path-SGD: Path-Normalized Optimization in Deep Neural Networks NeurIPS 2015 Supervised Learning for Dynamical System Learning NeurIPS 2015 Estimation with Norm Regularization NeurIPS 2014 Orbit Regularization NeurIPS 2014 Self-Paced Learning with Diversity NeurIPS 2014 Spectral k-Support Norm Regularization NeurIPS 2014 Adaptive dropout for training deep neural networks NeurIPS 2013 Dirty Statistical Models NeurIPS 2013 Dropout Training as Adaptive Regularization NeurIPS 2013 Estimating LASSO Risk and Noise Level NeurIPS 2013 Generalizing Analytic Shrinkage for Arbitrary Covariance Structures NeurIPS 2013 On Decomposing the Proximal Map NeurIPS 2013 Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima NeurIPS 2013 The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited NeurIPS 2013 Understanding Dropout NeurIPS 2013