日语机器学习深度学习研究调查与综述

需积分: 34 51 浏览量更新于2024-11-05 收藏 48.23MB ZIP 举报

资源摘要信息: "该资源是一个关于日语机器学习（特别是深度学习）领域的研究调查文档。它对既往和相关研究进行了汇编，可能以论文综述的形式存在，为研究者和爱好者提供了一个全面了解该领域的文献集合。根据提供的文件信息，以下是对标题、描述、标签以及压缩文件名称列表的知识点详细说明： ### 标题："paper-survey::books:日语机器学习（尤其是深度学习）以往研究和相关工作的调查" 该标题表明，该资源是一个关于日语机器学习领域的调查，特别侧重于深度学习的研究。"paper-survey"提示这是一系列论文的综述，"books"表明可能包含书籍或其他形式的文献资源。 ### 描述："论文调查这是对机器学习（尤其是深度学习）先前和相关研究的汇编。内容...关于摘要格式...可以高速阅读论文的落合老师的格式很好，所以做个笔记。" 这个描述进一步说明了资源的内容，即它是关于机器学习和深度学习的先前研究的汇编。此外，还提供了关于如何阅读和管理论文的方法，以及提到“落合老师的格式”，这可能是指某种高效的阅读和笔记整理方法。 ### 标签："machine-learning natural-language-processing survey summary arxiv deep-learning-papers arxivtimes HTML" 这些标签揭示了资源的几个关键点： - "machine-learning"和"natural-language-processing"标签表明，该资源包含了有关机器学习和自然语言处理的内容。 - "survey"标签指出这是一篇综述文章。 - "summary"标签表明资源提供了研究的摘要或概览。 - "arxiv"和"deep-learning-papers"标签指向了使用arXiv库中的深度学习论文。 - "arxivtimes"可能是一个特定的网站或资源，用于获取arXiv上的最新论文。 - "HTML"表明该资源可能以网页形式呈现。 ### 压缩包子文件的文件名称列表："paper-survey-master" 这个文件名表明，资源被存放在一个名为"paper-survey-master"的压缩包内。由于文件是压缩的，我们可以假设它包含多个文件，可能是论文全文、摘要、参考文献列表等。 ### 知识点总结： 1. 机器学习和深度学习是信息科技领域的两个重要分支，机器学习侧重于让计算机系统能够从数据中学习并改进，而深度学习是机器学习的一个子集，使用多层神经网络模拟人脑处理信息的方式。 2. 自然语言处理（NLP）是机器学习的一个应用领域，旨在使计算机能够理解、解释和生成人类语言。 3. 深度学习在NLP中的应用特别广泛，例如在语言模型、机器翻译、语音识别和情感分析等方面。 4. arXiv是知名的预印本服务器，提供物理学、数学、计算机科学等领域的最新研究论文。 5. 论文调查和综述有助于学术界和工业界的研究人员跟踪和了解特定领域的最新进展。 6. 高效的论文阅读和笔记整理方法可以显著提升研究效率，例如采用特定的阅读格式和使用相关工具进行管理。 7. 日语作为资源的语言，表明了研究工作的地域特色和语言特定应用的研究需求。以上内容涵盖了从机器学习和深度学习的基础概念到特定研究领域的调查方法，以及如何管理和整理研究资料的实用技巧。这些知识点对于IT专业人员、研究人员和学生都具有重要的参考价值。"

收起资源包目录

paper-survey::books:日语机器学习（尤其是深度学习）以往研究和相关工作的调查（335个子文件）

2018-04-28-Realistic-Evaluation-of-Semi-Supervised-Learning-Algorithms.md 7KB

2018-02-20-A-New-Method-of-Region-Embedding-for-Text-Classification.md 7KB

2017-07-27-A-Discriminative-Feature-Learning-Approach-for-Deep-Face-Recognition.md 5KB

2017-04-03--Natural-Language-Processing-almost-from-Scratch.md 6KB

.gitignore 32B

index.md 3KB

2017-11-08-Character-level-Intra-Attention-Network-for-Natural-Language-Inference.md 5KB

2017-05-27-Learning-Character-level-Compositionality-with-Visual-Features.md 5KB

2017-02-04-Deep-Convolutional-Neural-Networks-for-Sentiment-Analysis-of-Short-Texts.md 3KB

2017-06-19-Learning-Deep-Structured-Semantic-Models-for-Web-Search-using-Clickthrough-Data.md 4KB

2018-05-27-Contextual-Augmentation-Data-Augmentation-by-Words-with-Paradigmatic-Relations.md 6KB

2019-05-09-Attention-Convolutional-Neural-Network-for-Advertiser-level-Click-through-Rate-Forecasting.md 5KB

2017-08-17-Style2Vec-Representation-Learning-for-Fashion-Items-from-Style-Sets.md 5KB

header.html 2KB

2017-08-13-Aggregated-Residual-Transformations-for-Deep-Neural-Networks.md 7KB

2017-08-27-Learning-Chinese-Word-Representations-From-Glyphs-Of-Characters.md 4KB

2019-07-27-DropAttention-A-Regularization-Method-for-Fully-Connected-Self-Attention-Networks.md 3KB

Gemfile.lock 7KB

2017-04-09-ImageNet-Classification-with-Deep-Convolutional-Neural-Networks.md 4KB

icon-github.html 177B

deploy_paper_survey_key.enc 3KB

index.html 756B

2017-02-20-Semi-supervised-Convolutional-Neural-Networks-for-Text-Categorization-via-Region-Embedding.md 3KB

post.html 1KB

footer.html 688B

2017-03-01-A-Convolutional-Neural-Network-for-Modelling-Sentences.md 4KB

2018-06-03-Skin-Lesion-Analysis-Toward-Melanoma-Detection-A-Challenge-at-the-2017-International-Symposium-on-Biomedical-Imaging-ISBI-Hosted-by-the-International-Skin-Imaging-Collaboration-ISIC.md 5KB

2017-03-05-UNITN-Training-Deep-Convolutional-Neural-Network-for-Twitter-Sentiment-Classification.md 3KB

page.html 206B

2017-06-26-Max-Pooling-Dropout-for-Regularization-of-Convolutional-Neural-Networks.md 3KB

2017-02-18-A-Sensitivity-Analysis-of-Convolutional-Neural-Networks-for-Sentence-Classification.md 6KB

404.html 247B

sidebar.html 875B

share-buttons.html 2KB

icon-twitter.html 180B

2018-08-25-Semi-supervised-deep-learning-by-metric-embedding.md 5KB

2017-03-13-Modelling-Visualising-and-Summarising-Documents-with-a-Single-Convolutional-Neural-Network.md 4KB

2018-06-02-RECOD-Titans-at-ISIC-Challenge-2017.md 5KB

Gemfile 77B

2019-02-24-Tell-Me-Where-to-Look-Guided-Attention-Inference-Network.md 5KB

amp-social-share.html 206B

2017-10-29-Random-Erasing-Data-Augmentation.md 5KB

2017-02-24-Wide-Residual-Networks.md 4KB

index.html 789B

2017-04-09-Dependency-based-Convolutional-Neural-Networks-for-Sentence-Embedding.md 4KB

2017-02-24-Text-Classification-in-Asian-Languages-without-Word-Segmentation.md 3KB

2017-07-06-A-Comprehensive-Survey-on-Cross-modal-Retrieval.md 8KB

2017-10-28-Deconvolutional-Paragraph-Representation-Learning.md 4KB

2019-05-25-Class-Balanced-Loss-Based-on-Effective-Number-of-Samples.md 10KB

2018-05-06-Hierarchical-Attention-Networks-for-Document-Classification.md 4KB

2019-02-21-SC-FEGAN-Face-Editing-Generative-Adversarial-Networks-with-Users-Sketch-and-Color.md 6KB

2019-08-22-Personalized-Fashion-Recommendation-with-Visual-Explanations-based-on-Multimodal-Attention-Network.md 9KB

index.html 1KB

2017-02-05-Tweet2Vec-Character-Based-Distributed-Representations-for-Social-Media.md 3KB

2019-09-23-Saliency-Learning-Teaching-the-Model-Where-to-Pay-Attention.md 4KB

2017-06-17-Grad-CAM-Why-did-you-say-that.md 5KB

2017-04-04-Effective-Use-of-Word-Order-for-Text-Categorization-with-Convolutional-Neural-Networks.md 3KB

2018-04-01-Learning-to-Compute-Word-Embeddings-On-the-Fly.md 4KB

2019-08-14-Putting-Fairness-Principles-into-Practice-Challenges-Metrics-and-Improvements.md 4KB

2017-01-04-You-Only-Look-Onece-Unified-Real-Time-Object-Detection.md 3KB

2017-02-19-Large-Scale-Multi-label-Text-Classification-with-Semantic-Word-Vectors.md 4KB

2017-09-24-Which-Encoding-is-the-Best-for-Text-Classification-in-Chinese-English-Japanese-and-Korean.md 7KB

2018-03-26-Glyph-aware-Embedding-of-Chinese-Characters.md 4KB

2017-11-13-Unsupervised-Deep-Embedding-for-Clustering-Analysis.md 4KB

2017-11-20-Dynamic-Routing-Between-Capsules.md 8KB

2017-03-05-Character-Based-Parsing-with-Convolutional-Neural-Network.md 3KB

2019-03-20-Beyond-News-Contents-The-Role-of-Social-Context-for-Fake-News-Detection.md 4KB

2018-12-06-Field-aware-Probabilistic-Embedding-Neural-Network-for-CTR-Prediction.md 4KB

2018-02-18-SpectralNet-Spectral-Clustering-Using-Deep-Neural-Networks.md 6KB

sw.js 1KB

2019-03-02-How-Large-Vocabulary-Does-Text-Classification-Need-A-Variational-Approach-to-Vocabulary-Selection.md 5KB

2019-03-02-Attentional-Encoder-Network-for-Targeted-Sentiment-Classification.md 6KB

2016-12-23-Very-Deep-Convolutional-Networks-for-Natural-Language-Processing.md 3KB

2019-07-09-From-Small-scale-to-Large-scale-Text-Classification.md 7KB

2018-06-17-Joint-Embedding-of-Words-and-Labels-for-Text-Classification.md 7KB

2017-09-20-Noisy-Softmax-Improving-the-Generalization-Ability-of-DCNN-via-Postponing-the-Early-Softmax-Saturation.md 5KB

manifest.json 1KB

2017-03-06-Learning-Character-level-Representations-for-Part-of-Speech-Tagging.md 3KB

2017-03-03-CHARAGRAM-Embedding-Words-and-Sentences-via-Character-n-grams.md 4KB

2017-08-14-Deep-Networks-with-Stochastic-Depth.md 3KB

2019-06-25-Content-Based-Citation-Recommendation.md 7KB

2019-09-03-Ad-Click-Prediction-in-Sequence-with-Long-Short-Term-Memory-Networks-an-Externality-aware-Model.md 6KB

2018-09-28-Subcharacter-Information-in-Japanese-Embeddings-When-Is-It-Worth-It.md 4KB

2017-02-20-Convolutional-Neural-Networks-for-Text-categorization-Shallow-Word-level-vs-Deep-Character-level.md 4KB

analytics.html 283B

2020-12-07-Explaining-Word-Embeddings-via-Disentangled-Representation.md 3KB

2017-01-06-Language-Modeling-with-Gated-Convolutional-Networks.md 3KB

2017-10-15-Visualizing-and-Understanding-Convolutional-Networks.md 9KB

default.html 388B

README.md 3KB

2017-12-04-Radical-level-Ideograph-Encoder-for-RNN-based-Sentiment-Analysis-of-Chinese-and-Japanese.md 5KB

2018-04-27-Word-Embedding-Perturbation-for-Sentence-Classification.md 6KB

icons.html 2KB

head.html 2KB

2018-10-19-Context-Dependent-Sentiment_analysis-in-User-Genereted-Videos.md 9KB

index.html 788B

2017-03-13-Deep-Learning-applied-to-NLP.md 10KB

2019-10-28-Interpretable-Adversarial-Training-for-Text.md 5KB

2018-06-16-Learn-to-Pay-Attention.md 6KB

2017-07-09-Component-Enhanced-Chinese-Character-Embeddings.md 3KB

共 335 条

还是那个小宇

粉丝: 33
资源: 4729

日语机器学习深度学习研究调查与综述

如何写好科研论文2022期末考试答案.pdf

EN-JP-ML-Lexicon:这是关于机器学习和深度学习术语的英日词典

paper-fairml-survey:分类任务中间接歧视的比较措施

community-survey-paper-2015:社区混淆论文倡议

ml-paper-checklist:机器学习论文基本内容清单

keras-deep-learning-paper-implementations:Keras实施深度学习论文

颜色分类leetcode-paper-notes:机器学习、强化学习和其他论文的笔记

scientific-paper-summarisation:机器学习模型可自动总结科学论文

paper-notes:与机器学习论文相关的笔记集

A-Survey-Paper-on-Fault-Analysis-and-Management-in-Wireless-Sensor-Networks:无线传感器网络故障分析与管理调查报告

最新资源