Browse > Methodology > L2 Regularization

L2 Regularization

6 papers with code · Methodology

Leaderboards

No evaluation results yet. Help compare methods by submit evaluation metrics.

Greatest papers with code

Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines

30 Oct 2018GT-RIPL/Continual-Learning-Benchmark

Continual learning has received a great deal of attention recently with several approaches being proposed.

CONTINUAL LEARNING L2 REGULARIZATION

Collaboratively Weighting Deep and Classic Representation via L2 Regularization for Image Classification

21 Feb 2018zengsn/research

We propose a deep collaborative weight-based classification (DeepCWC) method to resolve this problem, by providing a novel option to fully take advantage of deep features in classic machine learning.

IMAGE CLASSIFICATION L2 REGULARIZATION OBJECT RECOGNITION

Learning a smooth kernel regularizer for convolutional neural networks

5 Mar 2019rfeinman/SK-regularization

We propose a smooth kernel regularizer that encourages spatial correlations in convolution kernel weights.

L2 REGULARIZATION OBJECT RECOGNITION

Convolutional Neural Networks for Facial Expression Recognition

22 Apr 2017jaydeepthik/kaggle-facial-expression-recognition

We have developed convolutional neural networks (CNN) for a facial expression recognition task.

FACIAL EXPRESSION RECOGNITION L2 REGULARIZATION

Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a Changing World

22 Jan 2017sgarg87/neurogenesis_inspired_dictionary_learning

In this paper, we focus on online representation learning in non-stationary environments which may require continuous adaptation of model architecture.

DICTIONARY LEARNING L2 REGULARIZATION REPRESENTATION LEARNING

On Regularization Parameter Estimation under Covariate Shift

31 Jul 2016wmkouw/covshift-l2reg

This paper identifies a problem with the usual procedure for L2-regularization parameter estimation in a domain adaptation setting.

DOMAIN ADAPTATION L2 REGULARIZATION