文件名称：机器学习、深度学习各类领域内的论文
文件大小：218.83MB
文件格式：ZIP
更新时间：2023-03-24 10:54:16
深度学习 经典网络 深度网络 深度学习各类应用 综述论文
深度学习内各个领域的论文，包括经典网络、深度网络、目标追踪检测、强化学习、随机优化等内容 皆是标准论文，论文内都含有作者的信息、发布时间、出版社等 来源于各大开放式的论文下载网站
【文件预览】：
综述论文
----方差减小的随机优化()
--------4. Katyusha.pdf(4.99MB)
--------5. MiG.pdf(593KB)
--------3.2 SAGA.pdf(638KB)
--------2.3 A Simple Proximal Stochastic Gradient Method for Nonsmooth Nonconvex Optimization.pdf(717KB)
--------2. Prox_SVRG.pdf(289KB)
--------6. VR-SGD.pdf(2.58MB)
--------0.2 A MATLAB library for stochastic gradient descent algorithms.pdf(2.96MB)
--------1.1 SVRG.pdf(517KB)
--------1.2 Lazy_Update.pdf(667KB)
--------2.2 Prox_SVRG++.pdf(374KB)
----随机优化应用于机器学习()
--------Stochastic-Gradient-Descent-[Leon-Bottou].pdf(345KB)
--------Momentum-Based Variance Reduction in Non-Convex SGD.pdf(1.54MB)
--------SVRG and Katyusha are Better Without the Outer Loop.pdf(1.08MB)
--------8.3 A Unified Framework for Stochastic Matrix Factorization.pdf(776KB)
--------8.1 SVRG_NMF.pdf(5.77MB)
--------12.1 Large-scale k-means clustering via variance reduction.pdf(1.43MB)
--------9.1 A Stochastic PCA and SVD Algorithm with an Exponential Convergence Rate.pdf(389KB)
--------51. Research Advances on Stochastic Gradient Descent Algorithms.pdf(2.9MB)
----卷积深度网络()
--------Deep Convolutional Neural Networks for Image Classification.pdf(2.5MB)
--------Recent advances in convolutional neural network acceleration.pdf(1.58MB)
--------Deep learning in neural networks An overview.pdf(840KB)
--------Recent advances in convolutional neural networks.pdf(2.88MB)
----图卷积网络()
--------A Comprehensive Survey on Graph Neural Networks .pdf(1.65MB)
--------Can GCNs Go as Deep as CNNs.pdf(3.16MB)
--------Graph U-Nets.pdf(367KB)
--------Graph Neural Networks A Review of Methods and Applications.pdf(2.61MB)
--------Auto-GNN Neural Architecture Search of Graph Neural Networks.pdf(1.24MB)
----目标追踪()
--------1907.12740.pdf(2.71MB)
--------Deep Learning in Video Multi-Object Tracking A Survey.pdf(5.74MB)
----经典深度网络()
--------Deep Residual Learning for Image Recognition.pdf(282KB)
--------ImageNet Classification with Deep Convolutional Neural Networks.pdf(1.35MB)
--------VGG-Very Deep Convolutional Networks for Large-Scale Image Recognition.pdf(195KB)
--------Densely Connected Convolutional Networks.pdf(1.09MB)
----深度图像恢复()
--------Image Enhancement by Recurrently-trained Super-resolution Network.pdf(2.32MB)
--------Blind Deblurring using Deep Learning A Survey.pdf(357KB)
----对抗机器学习()
--------AML.pptx(3.93MB)
--------Natural Adversarial Examples.pdf(6.84MB)
--------Review of Artificial Intelligence Adversarial Attack.pdf(10.04MB)
--------Adversarial Attacks and Defenses in Images, Graphs and Text A Review.pdf(1.97MB)
--------Adversarial Examples Attacks and Defenses for Deep Learning.pdf(5.82MB)
--------Adversarial Examples in Modern Machine Learning A Review.pdf(6.28MB)
--------Adversarial Examples Opportunities and Challenges.pdf(1.08MB)
----并行随机优化()
--------7.4 Perturbed iterate analysis for asynchronous stochastic optimization.pdf(500KB)
--------10.1 Asynchronous Stochastic Gradient Descent with Delay Compensation.pdf(885KB)
--------7.3 Conflict-free Asynchronous Machine Learning.pdf(1.51MB)
--------7.1 Hogwild.pdf(267KB)
--------7.2 On-variance-reduction-in-stochastic-gradient-descent-and-its-asynchronous-variants.pdf(466KB)
----目标检测()
--------Object Detection with Deep Learning A Review.pdf(4.28MB)
----连续学习()
--------Progressive Neural Networks.pdf(4.08MB)
--------Continual Lifelong Learning with Neural Networks A Review.pdf(1.48MB)
----对抗生成网络()
--------Deep Reinforcement Learning An Overview.pdf(366KB)
--------Deep Reinforcement Learning.pdf(2.93MB)
--------Generative Adversarial Networks An Overview.pdf(6.47MB)
--------Generative Adversarial Nets.pdf(527KB)
--------Tutorial on Generative Adversarial Networks.pdf(10.08MB)
----图像和视频超分辨()
--------A Deep Journey into Super-resolution A Survey.pdf(9.64MB)
--------Deep Learning Based Single Image Super-resolution A Survey.pdf(21.14MB)
--------Deep Learning for Image Super-resolution A Survey.pdf(1.69MB)
--------Deep Learning for Single Image Super-Resolution A Brief Review.pdf(10.65MB)
----小样本学习()
--------Generalizing from a Few Examples A Survey on Few-Shot Learning.pdf(3.48MB)
--------A Survey on Deep Transfer Learning.pdf(470KB)
--------A Survey of Zero-Shot Learning Settings, Methods, and Applications.pdf(779KB)
--------Recent Advances in Zero-Shot Recognition.pdf(1004KB)
----注意机制()
--------Attention in Deep Learning.pdf(3.53MB)
----图像恢复()
--------Image inpainting A review.pdf(771KB)
--------Neural Architecture Search for Image Restoration.pdf(3.15MB)
--------稀疏表示学习()
--------A Survey on Rain Removal from Video and Single Image.pdf(3.82MB)
----深度循环网络()
--------Recurrent Convolutional Neural Networks for Text Classification.pdf(949KB)
--------Recent Advances in Recurrent Neural Networks.pdf(687KB)
----强化学习()
--------An Introduction to Deep Reinforcment Learning.pdf(2.46MB)
--------Challenges of Real-World Reinforcement Learning.pdf(319KB)
----AutoMI和NAS()
--------Neural Architecture Search A Survey.pdf(502KB)
--------A Survey on Neural Architecture Search.pdf(723KB)
----Meta-Learning()
--------A Meta-Learning library for PyTorch.pdf(128KB)
--------Meta-Learning A Survey.pdf(387KB)
--------Meta learning a survey of trends and technologies.pdf(560KB)
----深度学习()
--------Recent Advances in Deep Learning An Overview.pdf(366KB)
--------Deep Learning for Computer Vision A Brief Review .pdf(2.47MB)
--------A Selective Overview of Deep Learning.pdf(2.11MB)
----语义分割()
--------A Review on Deep Learning Techniques Applied to Semantic Segmentation.pdf(8.01MB)
----自然语言处理()
--------An Introduction to Deep Learning for Natural Language Processing.pdf(14.77MB)
--------基于对抗正则化的自然语言推理.pdf(1.15MB)
--------Deep learning for natural language processing.pdf(124KB)
--------Analysis Methods in Neural Language Processing A Survey.pdf(827KB)
--------面向自然语言处理的 深度学习基础.pdf(11.46MB)
--------Recent Trends in Deep Learning Based Natural Language Processing.pdf(3.46MB)
--------A survey of the usages of deep learning in natural language processing.pdf(547KB)
--------Advances in natural language processing.pdf(763KB)
----深度随机优化()
--------Error Feedback Fixes SignSGD and other Gradient Compression Schemes.pdf(1.56MB)
--------Adam A Method for Stochastic Optimization.pdf(571KB)
--------On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization.pdf(1.89MB)
--------SIGNSGD Compressed Optimisation for Non-Convex Problems.pdf(753KB)