Regularization

Prior Knowledge Integration for Neural Machine Translation using Posterior Regularization ACL 2017 Regularization techniques for fine-tuning in neural machine translation EMNLP 2017 Stabilizing Training of Generative Adversarial Networks through Regularization NeurIPS 2017 Adaptive Lasso and group-Lasso for functional Poisson regression JMLR 2016 On Regularizing Rademacher Observation Losses NeurIPS 2016 Recurrent Dropout without Memory Loss COLING 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 On the Accuracy of Self-Normalized Log-Linear Models NeurIPS 2015 Regularization Path of Cross-Validation Error Lower Bounds NeurIPS 2015 Supervised Learning for Dynamical System Learning NeurIPS 2015 Altitude Training: Strong Bounds for Single-Layer Dropout NeurIPS 2014 Estimation with Norm Regularization NeurIPS 2014 Learning with Pseudo-Ensembles NeurIPS 2014 On Robustness and Regularization of Structural Support Vector Machines ICML 2014 Orbit Regularization NeurIPS 2014 Self-Paced Learning with Diversity NeurIPS 2014 Spectral k-Support Norm Regularization NeurIPS 2014 Structure Regularization for Structured Prediction NeurIPS 2014 The limits of squared Euclidean distance regularization NeurIPS 2014 A Comparative Framework for Preconditioned Lasso Algorithms NeurIPS 2013 Adaptive dropout for training deep neural networks NeurIPS 2013 Better Approximation and Faster Algorithm Using the Proximal Average NeurIPS 2013