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Regularization

48 directly classified papers

Papers per year

Papers

Topic Balancing with Additive Regularization of Topic Models ACL 2020
A Unified Optimization Framework for Low-Rank Inducing Penalties CVPR 2020
Field-wise Learning for Multi-field Categorical Data NIPS 2020
Capacity Control of ReLU Neural Networks by Basis-Path Norm AAAI 2019
Learning towards Minimum Hyperspherical Energy NIPS 2018
Connecting Optimization and Regularization Paths NIPS 2018
Prior Knowledge Integration for Neural Machine Translation using Posterior Regularization ACL 2017
Stabilizing Training of Generative Adversarial Networks through Regularization NIPS 2017
Regularization techniques for fine-tuning in neural machine translation EMNLP 2017
Regularization Path of Cross-Validation Error Lower Bounds NIPS 2015
Learning with Incremental Iterative Regularization NIPS 2015
Estimation with Norm Regularization NIPS 2014
Structure Regularization for Structured Prediction NIPS 2014
The limits of squared Euclidean distance regularization NIPS 2014
Dropout Training as Adaptive Regularization NIPS 2013
Generalizing Analytic Shrinkage for Arbitrary Covariance Structures NIPS 2013
Learning with Noisy Labels NIPS 2013
A Comparative Framework for Preconditioned Lasso Algorithms NIPS 2013
Trace Lasso: a trace norm regularization for correlated designs NIPS 2011
Asymptotically Optimal Regularization in Smooth Parametric Models NIPS 2009
Boosting with Spatial Regularization NIPS 2009
Regularized Boost for Semi-Supervised Learning NIPS 2007
Efficient Structure Learning of Markov Networks using $L_1$-Regularization NIPS 2006