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L2 Regularization

11 papers with code · Methodology

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Quantifying Generalization in Reinforcement Learning

6 Dec 2018openai/coinrun

In this paper, we investigate the problem of overfitting in deep reinforcement learning.

DATA AUGMENTATION L2 REGULARIZATION

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

Adaptive L2 Regularization in Person Re-Identification

15 Jul 2020nixingyang/AdaptiveL2Regularization

We introduce an adaptive L2 regularization mechanism in the setting of person re-identification.

L2 REGULARIZATION PERSON RE-IDENTIFICATION

Distributionally Robust Neural Networks

ICLR 2020 kohpangwei/group_DRO

Distributionally robust optimization (DRO) allows us to learn models that instead minimize the worst-case training loss over a set of pre-defined groups.

L2 REGULARIZATION NATURAL LANGUAGE INFERENCE STOCHASTIC OPTIMIZATION

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

Convolutional Neural Networks for Facial Expression Recognition

22 Apr 2017mgeezzyy/Facial-Expression-Recognition-2018

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

FACIAL EXPRESSION RECOGNITION L2 REGULARIZATION

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

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

Understanding and Stabilizing GANs' Training Dynamics with Control Theory

29 Sep 2019taufikxu/GAN_PID

There are existing efforts that model the training dynamics of GANs in the parameter space but the analysis cannot directly motivate practically effective stabilizing methods.

Ranked #13 on Image Generation on CIFAR-10 (Inception score metric)

IMAGE GENERATION L2 REGULARIZATION

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