Attention-please-A-Critical-Review-of-Neural-Attention-Models-in-Natural-Language-Processing

Posted on 2019-03-24 | In Paper Notes

Words count in article: 1k | Reading time ≈ 6

Attention, please! A Critical Review of Neural Attention Models in Natural Language Processing Paper Abstract Attention is an increasingly popular ...

Found-in-Translation-Learning-Robust-Joint-Representations-by-Cyclic-Translations-Between-Modalities

Posted on 2019-01-19 | In Paper Notes

Words count in article: 467 | Reading time ≈ 2

Found in Translation: Learning Robust Joint Representations by Cyclic Translations Between Modalities Paper Abstract Multimodal sentiment analysis ...

Multi-head-Attention

Posted on 2018-12-16 | In NLP

Words count in article: 0 | Reading time ≈ 1

Acoustic-Features-Fusion-using-Attentive-Multi-channel-Deep-Architecture

Posted on 2018-11-26 | In Paper Notes

Words count in article: 409 | Reading time ≈ 2

Acoustic Features Fusion using Attentive Multi-channel Deep Architecture Paper Code Abstract In this paper, we present a novel deep fusion architec ...

paper-writing

Posted on 2018-11-26 | In Paper Writing

Words count in article: 429 | Reading time ≈ 1

Grammaly 可以实现实时语法检查，你边写它就边改，语法问题和修改意见会以标注的形式显示在文档的右侧，方便查看，而且在每条批注下面都会配有详细的解释，告诉你哪里错了，为什么要这样修改。官网地址 1Checker 一款英文自动检查纠错服务工具，除了可以提供英文写作技巧纠正语法错误和自动润 ...

BERT

Posted on 2018-11-15 | In Paper Notes

Words count in article: 1.1k | Reading time ≈ 6

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Paper Code (from Google AI — Tensorflow) Code (from codertimo — Pyto ...

AdaBoost

Posted on 2018-09-26 | In ML

Words count in article: 1.7k | Reading time ≈ 5

算法描述集成学习是涉及利用多个学习器来解决问题的方法。集成的泛化能力通常明显优于单个学习器，因此集成方法非常有吸引力。 Yoav Freund和Robert Schapire提出的AdaBoost算法是最重要的集成方法之一，因为它具有坚实的理论基础，非常准确的预测能力，非常简单（Schapire说 ...

SoundNet-Learning-Sound-Representations-from-Unlabeled-Video

Posted on 2018-08-12 | In Paper Notes

Words count in article: 520 | Reading time ≈ 3

Source github Abstract We learn rich natural sound representations by capitalizing on large amounts of unlabeled sound data collected in the wil ...

3-D-CRNN-with-Attention-Model-for-SER

Posted on 2018-08-08 | In Paper Notes

Words count in article: 467 | Reading time ≈ 2

论文链接 Abstract Speech emotion recognition (SER) is a difficult task due to the complexity of emotion. The SER performances are heavily depend on the ...

Context-Dependent-Sentiment-Analysis-in-User-Generated-Videos

Posted on 2018-08-05 | In Paper Notes

Words count in article: 1.4k | Reading time ≈ 9

论文链接 Abstract In this paper, we pro- pose a LSTM-based model that enables utterances to capture contextual information from their surroundings in t ...