virtual adversarial training: a regularization method for supervised and sem - 腾讯云开发者社区

特约作者 | 曹凯本文介绍一种名叫Virtual Adversarial Training (VAT) [1]的方法，是一种对于给定条件标签分布的数据度量该分布局部光滑性的一种方法。...与Goodfellow提出的监督学习对抗方法adversarial training[2]不同的是，VAT找的方向是能使预测的输出分布偏离现状的方向，而adversarial training找的是使模型预测最大地偏离正确...对抗训练要讲VAT，首先要从Goodfellow的adversarial training开始，其损失函数为：其中，是一个非负度量函数，度量分布之间的距离，比如交叉熵，我们可以称是对抗的扰动...对于adversarial training来说，是真实label 的one-hot编码向量。...Virtual adversarial training: a regularization method for supervised and semi-supervised learning. arXiv

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ECCV 2020 的对抗相关论文（对抗生成、对抗攻击）

Oral 2258 Regularization with Latent Space Virtual Adversarial Training Oral 2307 Model-Agnostic Boundary-Adversarial...Path Sampler Spotlight 123 Adversarial Self-Supervised Learning for Semi-Supervised 3D Action Recognition...Poster 457 Improved Adversarial Training via Learned Optimizer Poster 634 Domain-Specific Mappings for...Training for Video Snapshot Compressive Imaging Poster 4690 Mind the Discriminability: Asymmetric Adversarial...Training with Bi-directional Likelihood Regularization for Visual Classification Poster 4889 Improving

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【论文推荐】最新6篇生成式对抗网络（GAN）相关论文—半监督对抗学习、行人再识别、代表性特征、高分辨率深度卷积、自监督、超分辨

Classification of sparsely labeled spatio-temporal data through semi-supervised adversarial learning（...learning scheme into InfoGAN, a method for retrieval of meaningful latents in adversarial learning....To produce more data for training deeply learned models, generative adversarial network (GAN) can be...Improved Training of Generative Adversarial Networks Using Representative Features（利用代表性特征改进生成对抗网络的训练...Our method also outperforms alternative methods for CNN pre-training, such as pre-training on publicly

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强数据所难！SSL（半监督学习）结合GAN如何？

Learning using Adversarial Training with Good and Bad Samples https://arxiv.xilesou.top/pdf/1910.08540...://arxiv.xilesou.top/pdf/1909.09269.pdf 004 (2019-09-15) Understanding and Improving Virtual Adversarial...-07-11) Manifold regularization with GANs for semi-supervised learning https://arxiv.xilesou.top.../arxiv.xilesou.top/pdf/1711.08054.pdf 029 (2017-10-27) A Self-Training Method for Semi-Supervised GANs....pdf 038 (2017-02-8) An Adversarial Regularisation for Semi-Supervised Training of Structured Output

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【最新】机器学习顶会 NIPS 2017 Pre-Proceedings 论文列表（附pdf下载链接）

DNNs with Tikhonov Regularization Train longer, generalize better: closing the generalization gap in...large batch training of neural networks Flexpoint: An Adaptive Numerical Format for Efficient Training...of Generative Adversarial Networks through Regularization Expectation Propagation with Stochastic Kinetic...Learning using Gaussian Processes A-NICE-MC: Adversarial Training for MCMC Excess Risk Bounds for the...Approximate Inference Efficient Second-Order Online Kernel Learning with Adaptive Embedding Implicit Regularization

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OpenAI 研究员：数据不足时，如何实现监督学习

，对抗性训练（Adversarial Training）将对抗性噪声应用到输入上，并训练模型使其对此类对抗性攻击具有鲁棒性。...Miyato 等人在2018年发表的论文《虚拟对抗性训练：对监督和半监督方法都适用的正则化方法》（Virtual Adversarial Training: A Regularization Method...for Supervised and Semi-Supervised Learning）中提出虚拟对抗性训练（Virtual Adversarial Training，VAT），该方法是对抗性训练思想在半监督学习领域的一个延伸...“Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning.” ...“Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks.”

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CVPR2019 | 15篇论文速递（涵盖目标检测、语义分割和姿态估计等方向）

fully supervised image-based methods....Training of an Adversarial Reprojection Network for 3D Human Pose Estimation 作者：Bastian Wandt, Bodo...This efficiently avoids a simple memorization of the training data and allows for a weakly supervised...training....Moreover, in situations where the quantity of training data is limited, the regularization can help in

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小样本利器2.文本对抗+半监督 FGSM & VAT & FGM代码实现

主要通过正则来约束模型学习，更多是锦上添花，想要学中送碳建议盆友们脚踏实地的去优化样本，优化标注，以及确认你的任务目标定义是否合理～----ReferenceFGSM- Explaining and Harnessing Adversarial...Examples, ICLR2015FGM-Adversarial Training Methods for Semi-Supervised Text Classification, ICLR2017VAT-Virtual...adversarial training: a regularization method for supervised and semi-supervised learningVAT-Distributional...Smoothing with Virtual Adversarial TrainingMin-Max公式 Towards Deep Learning Models Resistant to Adversarial

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2018-03-11

training manner....The domain classifiers on different levels are further reinforced with a consistency regularization to...[9]《GONet: A Semi-Supervised Deep Learning Approach For Traversability Estimation》 Abstract：We present...semi-supervised deep learning approaches for traversability estimation from fisheye images....Our method, GONet, and the proposed extensions leverage Generative Adversarial Networks (GANs) to effectively

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【论文推荐】最新六篇生成式对抗网络（GAN）相关论文—半监督学习、对偶、交互生成对抗网络、激活、纳什均衡、tempoGAN

Exploiting the potential of unlabeled endoscopic video data with self-supervised learning（基于半监督学习的无标签内窥镜视频数据分析方法...The purpose of this paper was to investigate the concept of self-supervised learning to address this...A variant of the method involves a second pre-training step based on labeled data for the target task...Our method also outperforms alternative methods for CNN pre-training, such as pre-training on publicly...With growing interest in virtual reality and avatar-mediated interactions,it is desirable to make these

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2020年7月90篇GAN论文汇总

Measurements https://arxiv.org/pdf/2007.15237.pdf 004 (2020-07-29) On Loss Functions and Recurrency Training...https://arxiv.org/pdf/2007.09278.pdf 045 (2020-07-17) Unsupervised Controllable Generation with Self-Training...Networks https://arxiv.org/pdf/2007.03877.pdf 022 (2020-07-7) Consistency Regularization with...Generative Adversarial Networks for Semi-Supervised Image Classification https://arxiv.org/pdf/2007.03844....pdf 036 (2020-07-2) Weakly Supervised Segmentation with Multi-scale Adversarial Attention Gates

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计算机视觉图像处理方向最新论文速递

链接：https://arxiv.org/abs/2003.13228 【7】 Cross-Domain Document Object Detection: Benchmark Suite and Method...跨域文档对象检测：Benchmark Suite和Method 作者：Kai Li, Yun Fu 备注：To appear in CVPR 2020 链接：https://arxiv.org/abs...Robustness: From Self-Supervised Pre-Training to Fine-Tuning 对抗鲁棒性：从自我监督预训练到微调作者：Tianlong Chen, Zhangyang...Zhou, Ce Zhu 链接：https://arxiv.org/abs/2003.12760 【6】 DaST: Data-free Substitute Training for Adversarial...Chitsaz, Shahram Shirani 链接：https://arxiv.org/abs/2003.12621 【5】 How Not to Give a FLOP: Combining Regularization

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【重磅】深度学习顶会 ICLR 2018 匿名提交论文列表（附pdf下载链接）

openreview.net/pdf/b7aafb6a6dbb956dea1e53cf9f4a58ec39e9513b.pdf 《An inference-based policy gradient method...openreview.net/pdf/37257d67235ce949317db3948d11ee647fcb9743.pdf 《THINK VISUALLY: QUESTION ANSWERING THROUGH VIRTUAL...：https://openreview.net/pdf/37eda3658e01744d88c216dea06c26b4595eb965.pdf 《BLOCK-NORMALIZED GRADIENT METHOD...NEURAL NETWORKS VIA CONSTRAINED VIRTUAL MOVEMENT FILED》: 下载地址：https://openreview.net/pdf/e4af05ee205636e7cfcbf612220dafde4fe1170e.pdf...://openreview.net/pdf/eb02d59c3547196c9f6bdfcdf8382978fd8dde70.pdf 《Distributed Restarting NewtonCG Method

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【论文推荐】最新八篇生成对抗网络相关论文—BRE、图像合成、多模态图像生成、非配对多域图、注意力、对抗特征增强、深度对抗性训练

1.Improving GAN Training via Binarized Representation Entropy (BRE) Regularization（通过二值化表示熵(BRE)正则改进GAN...The approach also leads to higher classification accuracies in semi-supervised learning. ?...existing studies on text-to-image generation mainly focusing on the object's appearance, the proposed method...To resolve the problem, we apply an attentive generative network using adversarial training....In this paper, we propose an adversarial training method to directly boost noise robustness of acoustic

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2020年6月100篇最新GAN论文汇总

in stride with Tseng's method https://arxiv.org/pdf/2006.09033.pdf 044 (2020-06-16) Improved Techniques...) DeshuffleGAN A Self-Supervised GAN to Improve Structure Learning https://arxiv.org/pdf/2006.08694...-06-11) Cumulant GAN https://arxiv.org/pdf/2006.06625.pdf 013 (2020-06-11) MatchGAN A Self-Supervised...Semi-Supervised Conditional Generative Adversarial Network https://arxiv.org/pdf/2006.06614.pdf...https://arxiv.org/pdf/2006.04643.pdf 028 (2020-06-8) Distributional Robustness with IPMs and links to Regularization

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论文周报 | 推荐系统领域最新研究进展，含CVPR, SIGIR, KDD等顶会论文

For training, we introduce a text dropout regularization mechanism which we show is critical to model...We build on a self-supervised system that learns a content association between music and video....from millions of users' requests for content across three domains (videos, music, and books) in a live virtual...Our proposed method can simultaneously (1) secure VARS from adversarial attacks characterized by local...Moreover, our method can detect adversarial examples with high accuracy. 15.

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金融语音音频处理学术速递

strategies and show that our pre-training method consistently achieves comparable or higher scores on...Self-Supervised Regularization 标题：基于简单暹罗网络和自监督正则化的自监督说话人确认链接：https://arxiv.org/abs/2112.04459 作者：Mufan...In this study, we propose an effective self-supervised learning framework and a novel regularization...In this study, we propose an effective self-supervised learning framework and a novel regularization...strategies and show that our pre-training method consistently achieves comparable or higher scores on

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【论文推荐】最新5篇行人重识别（ Person Re-ID）相关论文—样本生成、超越人类、实践指南、姿态归一化、图像生成

To produce more data for training deeply learned models, generative adversarial network (GAN) can be...So in this paper, we propose a virtual label called Multi-pseudo Regularized Label (MpRL) and assign...model in a semi-supervised learning fashion....The contribution-based virtual labels are automatically assigned to generated samples to reduce ambiguous...prediction in training.

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5篇生成模型相关 paper

Bayesian GAN Yunus Saatchi Andrew Gordon Wilson Uber AI Labs Cornell University Abstract Generative adversarial...We present a practical Bayesian formulation for unsupervised and semi-supervised learning with GANs....interpretable and diverse candi- date samples, and provides state-of-the-art quantitative results for semi-supervised...We show that this can be solved by adding a regularization term, which is in turn related to injecting...Our experiments validate the theoretical intuitions behind our method, and we find that information dropout

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【最新】人工智能领域顶会AAAI 2018 Pre-Proceedings 论文列表（附pdf下载链接）

Alessandro Nuara, Nicola Gatti, Marcello Restelli A Continuous Relaxation of Beam Search for End-to-end Training...for Stochastic Composition Optimization with Nonsmooth Regularization Zhouyuan Huo, Bin Gu, Heng Huang...* Accelerated Training for Massive Classification via Dynamic Class Selection Xingcheng Zhang*, Lei...Dropout for Supervised and Semi-Supervised Learning Sungrae Park*, Jun-Keon Park, Su-Jin Shin, Il...Hyperlinks in Adjacency Space Muhan Zhang*, Zhicheng Cui, Shali Jiang, Chen Yixin Beyond Sparsity: Tree Regularization

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虚拟对抗训练：一种新颖的半监督学习正则化方法

ECCV 2020 的对抗相关论文（对抗生成、对抗攻击）

【论文推荐】最新6篇生成式对抗网络（GAN）相关论文—半监督对抗学习、行人再识别、代表性特征、高分辨率深度卷积、自监督、超分辨

强数据所难！SSL（半监督学习）结合GAN如何？

【最新】机器学习顶会 NIPS 2017 Pre-Proceedings 论文列表（附pdf下载链接）

OpenAI 研究员：数据不足时，如何实现监督学习

CVPR2019 | 15篇论文速递（涵盖目标检测、语义分割和姿态估计等方向）

小样本利器2.文本对抗+半监督 FGSM & VAT & FGM代码实现

2018-03-11

【论文推荐】最新六篇生成式对抗网络（GAN）相关论文—半监督学习、对偶、交互生成对抗网络、激活、纳什均衡、tempoGAN

2020年7月90篇GAN论文汇总

计算机视觉图像处理方向最新论文速递

【重磅】深度学习顶会 ICLR 2018 匿名提交论文列表（附pdf下载链接）

【论文推荐】最新八篇生成对抗网络相关论文—BRE、图像合成、多模态图像生成、非配对多域图、注意力、对抗特征增强、深度对抗性训练

2020年6月100篇最新GAN论文汇总

论文周报 | 推荐系统领域最新研究进展，含CVPR, SIGIR, KDD等顶会论文

金融语音音频处理学术速递

【论文推荐】最新5篇行人重识别（ Person Re-ID）相关论文—样本生成、超越人类、实践指南、姿态归一化、图像生成

5篇生成模型相关 paper

【最新】人工智能领域顶会AAAI 2018 Pre-Proceedings 论文列表（附pdf下载链接）

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