• book 1
• review 1
• critical thinking 1
• data 2
• R 2
• DSP 1
• CTR 1
• covariate shift 1
• sparse 1
• regularization 1
• word embedding 1
• deep learning 5
• language model 1
• paper 14
• domain knowledge 1
• dirichlet forest 1
• LDA 1
• matrix factorization 1
• relation extraction 1
• distributed system 1
• ADMM 1
• machine learning 3
• convex optimization 2
• SGD 1
• neural networks 1
• batch 1
• jekyll 1
• programming 1
• blog 1
• github 1
• misc 1
• life 1
• knowledge 1
• GTD 1
• natural language processing 6
• representaion 4
• social networks 1
• word2vec 2
• attention 2
• image captioning 1
• multimodal 1
• LSTM 5
• RNN 2
• recurrent 2
• Deep Learning 5
• NIPS 2
• ICCV 1

book

• 如何训练批判性思维

review

• 如何训练批判性思维

critical thinking

• 如何训练批判性思维

data

• Loading Big Data in R
• Loading Data in R

R

• Loading Big Data in R
• Loading Data in R

DSP

• Covariate Shift Correction

CTR

• Covariate Shift Correction

covariate shift

• Covariate Shift Correction

sparse

• Basics for Regularization

regularization

• Basics for Regularization

word embedding

• From Word Embedding to Language Model(1)

deep learning

• Adapations and Variations of Word2vec
• Improving Word Representations via Global Context and Multiple Word Prototypes
• DeepWalk Online Learning of Social Representations
• Collections of Tips for Machine Learning
• From Word Embedding to Language Model(1)

language model

• From Word Embedding to Language Model(1)

paper

• Highway Networks and Deep Residual Networks
• NIPS 2015 Deep Learning Symposium Part II
• NIPS 2015 Deep Learning Symposium Part I
• ICLR 2016 Submission Highlights
• Improving Information Flow in Recurrent Networks
• A First Look at Multi-Modal Deep Learning
• Survey on Advanced Attention-based Models
• Survey on Attention-based Models Applied in NLP
• “后 Word Embedding ”的热点会在哪里？
• Adapations and Variations of Word2vec
• Improving Word Representations via Global Context and Multiple Word Prototypes
• DeepWalk Online Learning of Social Representations
• Speed of Mini-Batch SGD
• Incorpating Domain Knowledge into LDA

domain knowledge

• Incorpating Domain Knowledge into LDA

dirichlet forest

• Incorpating Domain Knowledge into LDA

LDA

• Incorpating Domain Knowledge into LDA

matrix factorization

• Relation Extraction with Matrix Factorization

relation extraction

• Relation Extraction with Matrix Factorization

distributed system

• ADMM 框架小结

ADMM

• ADMM 框架小结

machine learning

• Collections of Tips for Machine Learning
• Speed of Mini-Batch SGD
• ADMM 框架小结

convex optimization

• Speed of Mini-Batch SGD
• ADMM 框架小结

SGD

• Speed of Mini-Batch SGD

neural networks

• Speed of Mini-Batch SGD

batch

• Speed of Mini-Batch SGD

jekyll

• Github Pages Categories with Jekyll

programming

• Github Pages Categories with Jekyll

blog

• Github Pages Categories with Jekyll

github

• Github Pages Categories with Jekyll

misc

• 我是这样进行知识管理的

life

• 我是这样进行知识管理的

knowledge

• 我是这样进行知识管理的

GTD

• 我是这样进行知识管理的

natural language processing

• Survey on Advanced Attention-based Models
• Survey on Attention-based Models Applied in NLP
• “后 Word Embedding ”的热点会在哪里？
• Adapations and Variations of Word2vec
• Improving Word Representations via Global Context and Multiple Word Prototypes
• DeepWalk Online Learning of Social Representations

representaion

• “后 Word Embedding ”的热点会在哪里？
• Adapations and Variations of Word2vec
• Improving Word Representations via Global Context and Multiple Word Prototypes
• DeepWalk Online Learning of Social Representations

social networks

• DeepWalk Online Learning of Social Representations

word2vec

• “后 Word Embedding ”的热点会在哪里？
• Adapations and Variations of Word2vec

attention

• Survey on Advanced Attention-based Models
• Survey on Attention-based Models Applied in NLP

image captioning

• A First Look at Multi-Modal Deep Learning

multimodal

• A First Look at Multi-Modal Deep Learning

LSTM

• Highway Networks and Deep Residual Networks
• NIPS 2015 Deep Learning Symposium Part II
• NIPS 2015 Deep Learning Symposium Part I
• ICLR 2016 Submission Highlights
• Improving Information Flow in Recurrent Networks

RNN

• ICLR 2016 Submission Highlights
• Improving Information Flow in Recurrent Networks

recurrent

• ICLR 2016 Submission Highlights
• Improving Information Flow in Recurrent Networks

Deep Learning

• Highway Networks and Deep Residual Networks
• NIPS 2015 Deep Learning Symposium Part II
• NIPS 2015 Deep Learning Symposium Part I
• ICLR 2016 Submission Highlights
• Improving Information Flow in Recurrent Networks

NIPS

• NIPS 2015 Deep Learning Symposium Part II
• NIPS 2015 Deep Learning Symposium Part I

ICCV

• Highway Networks and Deep Residual Networks