[深度学习] Wide Residual Networks.pdf

说明：Deep residual networks were shown to be able to scale up to thousands of layers and still have improving performance. However, each fraction of a percent of improved accuracy costs nearly doubling the number of layers, and so training very deep res
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[深度学习] 2018年以来最重要的10篇AI研究论文.zip

说明：2018年以来最重要的10篇AI研究论文，总结了2018年以来最重要的10篇AI研究论文，让你对今年机器学习的进展 有一个大致的了解。当然，还有很多具有突破性的论文值得一读，但本文作者认为这是一个很 好的列表，你可以从它开始。
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[深度学习] MetaLearning

说明：人工智能前沿研究，元学习研究资料—Meta-Learning: A Survey，Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networ，Online Meta-Learnin，Task Agnostic Meta-Learning for Few-Shot Learning
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[深度学习] 目标检测-20种常用深度学习算法论文、复现代码汇总.zip

说明：目标检测-20种常用深度学习算法论文、复现代码汇总
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[深度学习] 高引用率的论文.zip

说明：收集近20年来，人工智能领域高引用率顶级论文，有深度学习，机器学习等各研究领域里论文，引用率高达5万次。
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[深度学习] Compositional Language Understanding with Text-based Relational Reasoning.pdf

说明：Neural networks for natural language reasoning have largely focused on extractive, fact-based question-answering (QA) and common-sense inference. However, it is also crucial to understand the extent to which neural networks can perform relational r
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[深度学习] Deep learning for time series classification a review.pdf

说明：Time Series Classification (TSC) is an important and challenging problem in data mining. With the increase of time series data availability, hundreds of TSC algorithms have been proposed. Among these methods, only a few have considered Deep Neural
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[深度学习] Dynamic Meta-Embeddings for Improved Sentence Representations.pdf

说明：While one of the first steps in many NLP systems is selecting what pre-trained word embeddings to use, we argue that such a step is better left for neural networks to figure out by themselves. To that end, we introduce dynamic meta-embeddings, a s
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[深度学习] Embedding Logical Queries on Knowledge Graphs.pdf

说明：Learning low-dimensional embeddings of knowledge graphs is a powerful approach used to predict unobserved or missing edges between entities. However, an open challenge in this area is developing techniques that can go beyond simple edge prediction
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[深度学习] Joint Multilingual Supervision for Cross-lingual Entity Linking.pdf

说明：Cross-lingual Entity Linking (XEL) aims to ground entity mentions written in any language to an English Knowledge Base (KB), such as Wikipedia. XEL for most languages is challenging, owing to limited availability of resources as supervision. We a
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[深度学习] Learning Sequence Encoders for Temporal Knowledge Graph Completion.pdf

说明：Learning from positive and unlabeled data or PU learning is the setting where a learner only has access to positive examples and unlabeled data. The assumption is that the unlabeled data can contain both positive and negative examples. This settin
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[深度学习] Model Selection Techniques.pdf

说明：In the era of “big data”, analysts usually explore various statistical models or machine learning methods for observed data in order to facilitate scientific discoveries or gain predictive power. Whatever data and fitting procedures are employed,
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