机器学习、深度学习各类领域内的论文
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2020-03-03
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综述论文.zip （95个子文件） 
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 20.2 A stochastic alternating minimizing method.pdf 117KB 20.1 Stochastic Variance Reduced Optimization for Nonconvex Sparse Learning.pdf 953KB 20.3 Efficient Stochastic Gradient Hard Thresholding.pdf 461KB 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资源评论
