Generalization in Deep Learning 论文链接 Kenji Kawaguchi, Leslie Pack Kaelbling, Yoshua Bengio 全文估计只懂50%,所有的公式细节逻辑被忽略了;只尝试梳理大体逻辑思路和作者目标。 全文概述 p14 什么是generalization, generalization gap?为什么定义generalization gap很重要?generalization gap如何被定义,如何指导实践? 论...
前一部分解释下为什么CNN的模型容量可以大到overfit任何随机label，但却有强泛化能力。解释是这样的：虽然...
or systematic generalization in deep learning for class... Y Li - 《Arxiv》 被引量: 0发表: 2022年 Ranking Deep Learning Generalization using Label Variation in Latent Geometry Graphs Measuring the generalization performance of a Deep Neural Network (DNN) without relying on a validation set is ...
【简读】Limitations of Neural Collapse for Understanding Generalization in Deep Learning ZehaoDou 窦泽皓 耶鲁大学统计系博士/乒乓球三级/数独九段/第六届最强大脑百强56 人赞同了该文章 20220217 第151篇 arxiv.org/pdf/2202.08384.pdf 作者:Like Hui, Mikhail Belkin, Preetum Nakkiran Affiliation: Universit...
Deep learning 的 generalization 是目前一个非常火热的问题。众所周知深度学习不同于其他机器学习的模型，...
这里的大部分内容基于 Ian Goodfellow 的《Deep Learning》一书第七章“Regularization for Deep Learning”(墙裂推荐!),并结合一些其他文章和我自己的经验。 这个系列的主要内容有: 引子 1. 定义:正则化(regularization)是所有用来降低算法泛化误差(generalization error)的方法的总称。
Aimed at explaining the surprisingly good generalization behavior of overparameterized deep networks, recent works have developed a variety of generalization bounds for deep learning, all based on the fundamental learning-theoretic technique of uniform convergence. While it is well-known that many of the...
Exploring generalization in deep learn- ing. In Advances in Neural Information Processing Systems, pp. 5943-5952, 2017.B. Neyshabur, S. Bhojanapalli, D. McAllester, and N. Srebro, "Exploring generalization in deep learning," in Advances in Neural Information Processing Systems, Long Beach, ...
Rezende et al. Stochastic Backpropagation and Approximate Inference in Deep Generative Models. Kingma and Rezende et al. Semi-supervised Learning with Deep Generative Models. Bishop. Pattern Recognition and Machine Learning. Young et al. HTK handbook. ...
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima 详细解读 本来是想自己操刀写的,毕竟论文看了两天,但是写的时候百度了一下发现CSDN上有大神分享了自己的解读,我也就直接搬运了,毕竟项目紧张。 这篇文章探究了深度学习中一个普遍存在的问题——使用大的batchsize训练网络会导致网络的...